{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "221ce745",
   "metadata": {},
   "source": [
    "# <center><b> Master thesis : Analysis of the saturated absorption of the HD molecule in an optical cavity </b></center>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "30fc7caf",
   "metadata": {},
   "source": [
    "# <center><b> Cavity spectroscopy of HD </b></center>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "ea8edc1a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.ticker import MaxNLocator\n",
    "\n",
    "import numpy as np\n",
    "from scipy import integrate\n",
    "from qutip import Qobj, Bloch, about, basis, mesolve, fock, qutip, Options\n",
    "#qutip.solver.Options().atol = 1e-10\n",
    "#qutip.solver.Options().rtol = 1e-10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "d024d252",
   "metadata": {},
   "outputs": [],
   "source": [
    "class QuantumSystem(object):\n",
    "    '''\n",
    "    This class creates an atom or molecule (Quantum system) object containing all the informations needed to compute the spectrum.\n",
    "    The atom must be instanciated with properties expressed in atomic units.\n",
    "    \n",
    "    Atomic units:\n",
    "    \n",
    "    hbar = 1\n",
    "    m_e = 1\n",
    "    e = 1\n",
    "    4 pi epsilon_0 = 1\n",
    "    \n",
    "    More precisely:\n",
    "    - Transition frequency f_0 in E_H/hbar (1 E_H = 1 Hartree, hbar = constante de Planck réduite)\n",
    "    - Dipole constant D12 in e*a_0 (e = elementary electric charge, a_0 = Bohr)\n",
    "    '''\n",
    "    \n",
    "    def __init__(self, default_mass = 1, default_transition_frequency = 1, default_dipole_moment = 1, \n",
    "                 default_quantum_state = [[1, 0], [0, 0]], default_Gamma = 1):\n",
    "        \n",
    "        #Universal constants in atomic units\n",
    "        self.h = 2*np.pi\n",
    "        self.c = 137.03600136960011\n",
    "        self.epsilon_0 = 1 / (4*np.pi)\n",
    "        \n",
    "        #Constants specific to the transition\n",
    "        self.f_0 = default_transition_frequency\n",
    "        self.D12 = default_dipole_moment\n",
    "        \n",
    "        # Basis\n",
    "        self.psi_1 = fock(2, 0)\n",
    "        self.psi_2 = fock(2, 1)\n",
    "        \n",
    "        #Quantum state\n",
    "        self.Qstate = Qobj(default_quantum_state)\n",
    "        \n",
    "        #Sponteneous emission rate\n",
    "        self.Gamma = default_Gamma\n",
    "        \n",
    "        #Mass\n",
    "        self.mass = default_mass\n",
    "        \n",
    "    def get_h(self):    \n",
    "        return self.h\n",
    "    \n",
    "    def get_c(self):\n",
    "        return self.c\n",
    "    \n",
    "    def get_epsilon_0(self):\n",
    "        return self.epsilon_0\n",
    "    \n",
    "    def getTransitionFrequency(self):\n",
    "        return self.f_0\n",
    "    \n",
    "    def getDipoleMoment(self):\n",
    "        return self.D12\n",
    "    \n",
    "    def getDipoleMoment_X12(self):\n",
    "        X12 = np.sqrt(self.D12**2 /3)\n",
    "        return X12\n",
    "    \n",
    "    def getAngularFrequency(self):\n",
    "        omega_0 = 2*np.pi*self.f_0\n",
    "        return omega_0\n",
    "    \n",
    "    def getWaveLength(self):\n",
    "        lambda_0 = self.c/self.f_0\n",
    "        return lambda_0\n",
    "    \n",
    "    def getEinsteinCoefficient_A21(self):\n",
    "        omega_0 = 2*np.pi*self.f_0\n",
    "        A21 = (4/3) * (1/self.c**3) * omega_0**3 * self.D12**2\n",
    "        return A21\n",
    "    \n",
    "    def getGamma(self):\n",
    "        return self.Gamma\n",
    "    \n",
    "    def getSaturationIntensity(self):\n",
    "        omega_0 = 2*np.pi*self.f_0\n",
    "        A21 = (4/3) * (1/self.c**3) * omega_0**3 * self.D12**2\n",
    "        lambda_0 = self.c/self.f_0\n",
    "        I_sat = (np.pi*self.h*self.c*A21)/(3*(lambda_0**3))\n",
    "        return I_sat\n",
    "    \n",
    "    def getQuantumState(self):\n",
    "        return self.Qstate\n",
    "    \n",
    "    def updateQuantumState(self, new_Qstate):\n",
    "        self.Qstate = new_Qstate\n",
    "        \n",
    "    def getBasis(self):\n",
    "        return self.psi_1, self.psi_2\n",
    "    \n",
    "    def getMass(self):\n",
    "        return self.mass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "8ea4c756",
   "metadata": {},
   "outputs": [],
   "source": [
    "class Laser(object):\n",
    "    '''\n",
    "    This class creates a laser object containing all the informations needed to compute the spectrum.\n",
    "    The laser must be instanciated with properties expressed in atomic units units.\n",
    "    \n",
    "    Atomic units:\n",
    "    \n",
    "    hbar = 1\n",
    "    m_e = 1\n",
    "    e = 1\n",
    "    4 pi epsilon_0 = 1\n",
    "    \n",
    "    '''\n",
    "    \n",
    "    def __init__(self, default_frequency = 1, default_intensity = 1, default_phi_time = 0.0, default_phi_space = 0.0,\n",
    "                default_waist = 1):\n",
    "        \n",
    "        #Universal constants in atomic units\n",
    "        self.h = 2*np.pi\n",
    "        self.c = 137.03600136960011\n",
    "        self.epsilon_0 = 1/(4*np.pi)\n",
    "        \n",
    "        #Constants specific to the laser\n",
    "        self.f = default_frequency\n",
    "        self.I = default_intensity\n",
    "        self.phi_time = default_phi_time\n",
    "        self.phi_space = default_phi_space\n",
    "        \n",
    "        #Geometry of the laser\n",
    "        self.w_0 = default_waist\n",
    "        \n",
    "    def getFrequency(self):\n",
    "        return self.f\n",
    "    \n",
    "    def getIntensity(self):\n",
    "        return self.I\n",
    "    \n",
    "    def getPhaseTime(self):\n",
    "        return self.phi_time\n",
    "    \n",
    "    def getPhaseSpace(self):\n",
    "        return self.phi_space\n",
    "    \n",
    "    def getAngularFrequency(self):\n",
    "        omega = 2*np.pi*self.f\n",
    "        return omega\n",
    "    \n",
    "    def getElectricFieldAmplitude(self):\n",
    "        E = np.sqrt(2*self.I/(self.c*self.epsilon_0))\n",
    "        return E\n",
    "    \n",
    "    def getWaist(self):\n",
    "        return self.w_0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "faf57e02",
   "metadata": {},
   "outputs": [],
   "source": [
    "class GazeousMedium(object):\n",
    "    '''\n",
    "    This class creates a gazeous medium. This medium takes the properties of an Atom() or Molecule() object\n",
    "    and compute the velocity classes according to the Maxwell-boltzmann distribution.\n",
    "    '''\n",
    "    def __init__(self, default_quantum_system = QuantumSystem(), default_temperature = 300, \n",
    "                 default_pressure = 3.44e-9, default_density = 1, default_Gamma_collisions = 1):\n",
    "        self.Qsyst = default_quantum_system\n",
    "        \n",
    "        self.T = default_temperature\n",
    "        self.P = default_pressure\n",
    "        self.D = default_density\n",
    "        \n",
    "        self.Gamma_col = default_Gamma_collisions\n",
    "        \n",
    "        #Boltzmann constant\n",
    "        self.k_b = 3.167*1e-6\n",
    "    \n",
    "    def getMostProbableVelocity(self):\n",
    "        M = self.Qsyst.getMass()\n",
    "        v_mp = np.sqrt(2*self.k_b*self.T/M)\n",
    "        return v_mp\n",
    "        \n",
    "    def getQuantumSystem(self):\n",
    "        return self.Qsyst\n",
    "    \n",
    "    def getGammaPressure(self):\n",
    "        return self.Gamma_col\n",
    "        \n",
    "    def distMaxwellBoltzmann(self):\n",
    "        'Compute velocity classes'\n",
    "        M = self.Qsyst.getMass()\n",
    "        v_p = np.sqrt(2*self.k_b*self.T/M)\n",
    "        \n",
    "        n = 1/2\n",
    "        scale = 3\n",
    "        subdivision = 20\n",
    "        v = np.zeros(2*scale*subdivision)\n",
    "        for index in range(scale):\n",
    "            start = subdivision*index\n",
    "            v[start:start + subdivision] = np.linspace(-n*v_p/(10**(index)),\n",
    "                                                       -n*v_p/(10**(index+1)),\n",
    "                                                       subdivision)\n",
    "            v[len(v) - subdivision - start:len(v)-start] = np.linspace(n*v_p/(10**(index+1)),\n",
    "                                                                       n*v_p/(10**(index)),\n",
    "                                                                       subdivision)\n",
    "        \n",
    "        f_v = np.zeros(len(v))\n",
    "        for index in range(len(v)):\n",
    "            f_v[index] = (M/(2*np.pi*self.k_b*self.T))**(1/2)*np.exp(-(M*v[index]**2)/(2*self.k_b*self.T))\n",
    "            \n",
    "        return f_v, v\n",
    "    \n",
    "    def distMB_AdaptativeSampling(self, v_shift, v_ref):\n",
    "        'Compute velocity classes'\n",
    "        M = self.Qsyst.getMass()\n",
    "        \n",
    "        n = 1\n",
    "        scale = 3\n",
    "        subdivision = 30\n",
    "        v_plus = np.zeros(2*(scale*subdivision-(scale-1)))\n",
    "        v_minus = np.zeros(2*(scale*subdivision-(scale-1)))\n",
    "        start = 0\n",
    "        for index in range(scale):\n",
    "            v_plus[start:start + subdivision] = np.linspace(-n*v_ref/(10**(index)) + v_shift,\n",
    "                                                            -n*v_ref/(10**(index+1)) + v_shift,\n",
    "                                                            subdivision)\n",
    "            v_plus[len(v_plus)-subdivision-start:len(v_plus)-start] = np.linspace(n*v_ref/(10**(index+1)) + v_shift,\n",
    "                                                                                  n*v_ref/(10**(index)) + v_shift,\n",
    "                                                                                  subdivision)\n",
    "            \n",
    "            v_minus[start:start+subdivision] = np.linspace(-n*v_ref/(10**(index)) - v_shift,\n",
    "                                                           -n*v_ref/(10**(index+1)) - v_shift,\n",
    "                                                           subdivision)\n",
    "            v_minus[len(v_minus)-subdivision-start:len(v_minus)-start] = np.linspace(n*v_ref/(10**(index+1)) - v_shift,\n",
    "                                                                                     n*v_ref/(10**(index)) - v_shift,\n",
    "                                                                                     subdivision)\n",
    "            start = start + subdivision - 1\n",
    "            \n",
    "        if v_minus[-1] < 0.0:\n",
    "            length_minus = len(v_minus)\n",
    "        else:            \n",
    "            length_minus = np.argwhere(v_minus >= 0.0)[0][0]\n",
    "            \n",
    "        if v_plus[0] > 0.0:\n",
    "            start_v_plus = 0\n",
    "            length_plus = len(v_plus)\n",
    "        else:\n",
    "            start_v_plus = np.argwhere(v_plus > 0.0)[0][0]\n",
    "            length_plus = len(v_plus) - start_v_plus\n",
    "            \n",
    "        v = np.zeros(length_plus+length_minus)\n",
    "        for index_1 in range(length_minus):\n",
    "            v[index_1] = v_minus[index_1]\n",
    "        for index_2 in range(length_plus):\n",
    "            v[index_1+1+index_2] = v_plus[start_v_plus + index_2]\n",
    "        \n",
    "        f_v = np.zeros(len(v))\n",
    "        for index in range(len(v)):\n",
    "            f_v[index] = (M/(2*np.pi*self.k_b*self.T))**(1/2)*np.exp(-(M*v[index]**2)/(2*self.k_b*self.T))\n",
    "        \n",
    "        ### Debugging ###\n",
    "        #D_v_plus = np.zeros(len(v_plus))\n",
    "        #for index in range(len(v_plus)):\n",
    "        #    D_v_plus[index] = self.D*(M/(2*np.pi*self.k_b*self.T))**(1/2)*np.exp(-(M*v_plus[index]**2)/(2*self.k_b*self.T))\n",
    "        #\n",
    "        #D_v_minus = np.zeros(len(v_minus))\n",
    "        #for index in range(len(v_minus)):    \n",
    "        #    D_v_minus[index] = self.D*(M/(2*np.pi*self.k_b*self.T))**(1/2)*np.exp(-(M*v_minus[index]**2)/(2*self.k_b*self.T))\n",
    "        #return D_v, v, D_v_plus, v_plus, D_v_minus, v_minus\n",
    "        ### Debugging ###\n",
    "        \n",
    "        return f_v, v"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "2e14e7c5",
   "metadata": {},
   "outputs": [],
   "source": [
    "class Interactions(object):\n",
    "    '''\n",
    "    This class creates a python object that can simulate the interactions between a given GaseousMedium()\n",
    "    and a given Laser().\n",
    "    '''\n",
    "    \n",
    "    def __init__(self, default_medium = GazeousMedium(), default_laser = Laser()):\n",
    "        \n",
    "        #Medium\n",
    "        self.medium = default_medium\n",
    "        \n",
    "        #Laser\n",
    "        self.laser = default_laser\n",
    "        \n",
    "    def RabiFrequency(self):\n",
    "        \n",
    "        #Quantum system\n",
    "        Qsyst = self.medium.getQuantumSystem()\n",
    "        X12 = Qsyst.getDipoleMoment_X12()\n",
    "        \n",
    "        #Universal constants\n",
    "        h = Qsyst.get_h()\n",
    "        c = Qsyst.get_c()\n",
    "        epsilon_0 = Qsyst.get_epsilon_0()\n",
    "        \n",
    "        # Laser\n",
    "        E = np.sqrt(4*np.pi*2*I/c)\n",
    "\n",
    "        # Rabi frequency\n",
    "        Omega_R = -X12*E\n",
    "        \n",
    "        return abs(Omega_R)\n",
    "        \n",
    "    def DensityMatrixEvolution(self, omega, transit_time):\n",
    "        \"Compute the evolution of the system without spontaneous emission\"\n",
    "        \n",
    "        #Quantum system\n",
    "        Qsyst = self.medium.getQuantumSystem()\n",
    "        psi_1, psi_2 = Qsyst.getBasis()\n",
    "        omega_0 = Qsyst.getAngularFrequency()\n",
    "        X12 = Qsyst.getDipoleMoment_X12()\n",
    "        \n",
    "        #Universal constants\n",
    "        h = Qsyst.get_h()\n",
    "        c = Qsyst.get_c()\n",
    "        epsilon_0 = Qsyst.get_epsilon_0()\n",
    "        \n",
    "        # Laser\n",
    "        E = np.sqrt(4*np.pi*2*I/c)\n",
    "        phi = self.laser.getPhaseTime()\n",
    "\n",
    "        # Rabi frequency\n",
    "        Omega_R = -X12*E\n",
    "        \n",
    "        #Detuning\n",
    "        delta = omega - omega_0\n",
    "        \n",
    "        # Initial state\n",
    "        rho_0 = Qsyst.getQuantumState()\n",
    "\n",
    "        # List of collapse operators\n",
    "        c_ops = []\n",
    "\n",
    "        #Time\n",
    "        scaling = 1e10\n",
    "        Omega_R_solver = scaling*Omega_R\n",
    "        delta_solver = scaling*delta\n",
    "        time_end = (1/scaling)*transit_time\n",
    "        time_subdivision = 20000\n",
    "        tlist = np.linspace(0, time_end, time_subdivision)\n",
    "\n",
    "        # Hamiltonian\n",
    "        H1 = Qobj(np.array([[0, Omega_R_solver/2], [0, 0]]))\n",
    "        H2 = Qobj(np.array([[0, 0], [np.conjugate(Omega_R_solver/2), 0]]))\n",
    "\n",
    "        H_time = [[H1,np.exp(1j*(delta_solver*tlist+phi))],[H2,np.exp(-1j*(delta_solver*tlist+phi))]]\n",
    "\n",
    "        # Time evolution\n",
    "        rho = mesolve(H_time, rho_0, tlist, c_ops, [])\n",
    "        time = tlist*scaling\n",
    "        \n",
    "        return rho, time\n",
    "    \n",
    "    def DensityMatrixEvolution_Col(self, omega, transit_time):\n",
    "        \"Compute the evolution of the system with decoherence due to collisions\"\n",
    "        \n",
    "        #Quantum system\n",
    "        Qsyst = self.medium.getQuantumSystem()\n",
    "        psi_1, psi_2 = Qsyst.getBasis()\n",
    "        omega_0 = Qsyst.getAngularFrequency()\n",
    "        X12 = Qsyst.getDipoleMoment_X12()\n",
    "        Gamma = self.medium.getGammaPressure()\n",
    "        \n",
    "        #Universal constants\n",
    "        h = Qsyst.get_h()\n",
    "        c = Qsyst.get_c()\n",
    "        epsilon_0 = Qsyst.get_epsilon_0()\n",
    "        \n",
    "        # Laser\n",
    "        E = np.sqrt(4*np.pi*2*I/c)\n",
    "        phi = self.laser.getPhaseTime()\n",
    "\n",
    "        # Rabi frequency\n",
    "        Omega_R = -X12*E\n",
    "        \n",
    "        #Detuning\n",
    "        delta = omega - omega_0\n",
    "        \n",
    "        # Initial state\n",
    "        rho_0 = Qsyst.getQuantumState()\n",
    "\n",
    "        #Time\n",
    "        scaling = 1e10\n",
    "        Omega_R_solver = scaling*Omega_R\n",
    "        Gamma_solver = scaling*Gamma\n",
    "        delta_solver = scaling*delta\n",
    "        time_end = (1/scaling)*transit_time\n",
    "        time_subdivision = 20000\n",
    "        tlist = np.linspace(0, time_end, time_subdivision)\n",
    "        \n",
    "        #Collapse operators\n",
    "        c_ops = []\n",
    "        c_ops.append(np.sqrt(Gamma_solver) * psi_1 * psi_2.dag())\n",
    "\n",
    "        # Hamiltonian\n",
    "        H1 = Qobj(np.array([[0, Omega_R_solver/2], [0, 0]]))\n",
    "        H2 = Qobj(np.array([[0, 0], [np.conjugate(Omega_R_solver/2), 0]]))\n",
    "\n",
    "        H_time = [[H1,np.exp(1j*(delta_solver*tlist+phi))],[H2,np.exp(-1j*(delta_solver*tlist+phi))]]\n",
    "\n",
    "        # Time evolution\n",
    "        rho = mesolve(H_time, rho_0, tlist, c_ops, [])\n",
    "        time = tlist*scaling\n",
    "        \n",
    "        return rho, time\n",
    "        \n",
    "    def DensityMatrixEvolution_Cavity(self, omega, transit_time, velocity):\n",
    "        \"Compute the evolution of the system with two counterpropagating waves\"\n",
    "        \n",
    "        #Quantum system\n",
    "        Qsyst = self.medium.getQuantumSystem()\n",
    "        psi_1, psi_2 = Qsyst.getBasis()\n",
    "        omega_0 = Qsyst.getAngularFrequency()\n",
    "        X12 = Qsyst.getDipoleMoment_X12()\n",
    "        Gamma = self.medium.getGammaPressure()\n",
    "        \n",
    "        #Universal constants\n",
    "        h = Qsyst.get_h()\n",
    "        c = Qsyst.get_c()\n",
    "        epsilon_0 = Qsyst.get_epsilon_0()\n",
    "        \n",
    "        # Laser\n",
    "        E = np.sqrt(4*np.pi*2*I/c)\n",
    "        phi_time = self.laser.getPhaseTime()\n",
    "        phi_space = self.laser.getPhaseSpace()\n",
    "        \n",
    "        phi = phi_time\n",
    "        phi_1 = phi_time + phi_space\n",
    "        phi_2 = phi_time - phi_space\n",
    "        k = omega / c\n",
    "\n",
    "        # Rabi frequency\n",
    "        Omega_R_1laser = -X12*E\n",
    "        Omega_R_2lasers = -X12*(E/2)\n",
    "        \n",
    "        #Detuning\n",
    "        delta = omega - omega_0\n",
    "        delta_blue = omega + k*velocity - omega_0\n",
    "        delta_red = omega - k*velocity - omega_0\n",
    "        \n",
    "        # Initial state\n",
    "        rho_0 = Qsyst.getQuantumState()\n",
    "\n",
    "        # Time\n",
    "        scaling = 1e10\n",
    "        Omega_R_1laser_solver = scaling*Omega_R_1laser\n",
    "        Omega_R_2lasers_solver = scaling*Omega_R_2lasers\n",
    "        delta_solver = scaling*delta\n",
    "        delta_blue_solver = scaling*delta_blue\n",
    "        delta_red_solver = scaling*delta_red\n",
    "        Gamma_solver = scaling*Gamma\n",
    "\n",
    "        time_end = (1/scaling)*transit_time\n",
    "        time_subdivision = 20000\n",
    "        tlist = np.linspace(0, time_end, time_subdivision)\n",
    "        \n",
    "        #Collapse operators\n",
    "        c_ops = []\n",
    "        c_ops.append(np.sqrt(Gamma_solver) * psi_1 * psi_2.dag())\n",
    "\n",
    "        # Hamiltonian\n",
    "        H1_1laser = Qobj(np.array([[0, Omega_R_1laser_solver/2], [0, 0]]))\n",
    "        H2_1laser = Qobj(np.array([[0, 0], [np.conjugate(Omega_R_1laser_solver/2), 0]]))\n",
    "\n",
    "        H1_2lasers = Qobj(np.array([[0, Omega_R_2lasers_solver/2], [0, 0]]))\n",
    "        H2_2lasers = Qobj(np.array([[0, 0], [np.conjugate(Omega_R_2lasers_solver/2), 0]]))\n",
    "\n",
    "        H_time_1laser = [[H1_1laser,np.exp(1j*(delta_solver*tlist+phi))],[H2_1laser,np.exp(-1j*(delta_solver*tlist+phi))]]\n",
    "\n",
    "        H_time_2lasers = [[H1_2lasers, np.exp(1j*(delta_blue_solver*tlist+phi_1)) + np.exp(1j*(delta_red_solver*tlist+phi_2))],\n",
    "                          [H2_2lasers, np.exp(-1j*(delta_blue_solver*tlist+phi_1)) + np.exp(-1j*(delta_red_solver*tlist+phi_2))]]\n",
    "\n",
    "        ##TIME EVOLUTION\n",
    "        rho_1laser = mesolve(H_time_1laser, rho_0, tlist, c_ops, [])\n",
    "        rho_2lasers = mesolve(H_time_2lasers, rho_0, tlist, c_ops, [])\n",
    "        time = tlist*scaling\n",
    "        \n",
    "        return rho_1laser, rho_2lasers, time\n",
    "        \n",
    "    def spectrum_v_Transit(self, spectral_window, velocity, transit_time, N):\n",
    "        \n",
    "        #Quantum system\n",
    "        Qsyst = self.medium.getQuantumSystem()\n",
    "        psi_1, psi_2 = Qsyst.getBasis()\n",
    "        omega_0 = Qsyst.getAngularFrequency()\n",
    "        X12 = Qsyst.getDipoleMoment_X12()\n",
    "        Gamma = self.medium.getGammaPressure()\n",
    "        Gamma_spont = Qsyst.getGamma()\n",
    "        v = velocity\n",
    "        \n",
    "        #Universal constants\n",
    "        h = Qsyst.get_h()\n",
    "        c = Qsyst.get_c()\n",
    "        epsilon_0 = Qsyst.get_epsilon_0()\n",
    "        \n",
    "        #Laser\n",
    "        E = self.laser.getElectricFieldAmplitude()\n",
    "        I = self.laser.getIntensity()\n",
    "        phi_time = self.laser.getPhaseTime()\n",
    "        phi_space = self.laser.getPhaseSpace()\n",
    "        \n",
    "        phi_1 = phi_time + phi_space\n",
    "        phi_2 = phi_time - phi_space\n",
    "        \n",
    "        #Rabi frequency\n",
    "        Omega_R = -X12*(E/2)\n",
    "        \n",
    "        #Scaling\n",
    "        scaling = 1e10\n",
    "        Omega_R_solver = scaling*Omega_R\n",
    "        Gamma_solver = scaling*Gamma\n",
    "        \n",
    "        #Collapse operators\n",
    "        c_ops = []\n",
    "        c_ops.append(np.sqrt(Gamma_solver) * psi_1 * psi_2.dag())\n",
    "        \n",
    "        #Hamiltonian (without time dependance)\n",
    "        H1 = Qobj(np.array([[0, Omega_R_solver/2], [0, 0]]))\n",
    "        H2 = Qobj(np.array([[0, 0], [np.conjugate(Omega_R_solver/2), 0]]))\n",
    "        \n",
    "        length_sw = len(spectral_window)\n",
    "        alpha = np.zeros(length_sw)\n",
    "        \n",
    "        palier = 0.0\n",
    "        step = 5\n",
    "        for i in range(length_sw):\n",
    "            \n",
    "            # Initial density matrix\n",
    "            Qstate_initial = Qobj([[1, 0], [0, 0]])\n",
    "            \n",
    "            omega = spectral_window[i]\n",
    "            \n",
    "            # Doppler\n",
    "            k = omega / c \n",
    "            delta_blue = omega + k*v - omega_0\n",
    "            delta_red = omega - k*v - omega_0\n",
    "            \n",
    "            delta_blue_solver = scaling*delta_blue\n",
    "            delta_red_solver = scaling*delta_red\n",
    "            \n",
    "            #Time\n",
    "            time_end = (1/scaling)*transit_time\n",
    "            time_subdivision = 20000\n",
    "            tlist = np.linspace(0, time_end, time_subdivision)\n",
    "            \n",
    "            #Solution of the Lindblad equation\n",
    "            H_time = [[H1, np.exp(1j*(delta_blue_solver*tlist+phi_1)) + np.exp(1j*(delta_red_solver*tlist+phi_2))], \n",
    "                      [H2, np.exp(-1j*(delta_blue_solver*tlist+phi_1)) + np.exp(-1j*(delta_red_solver*tlist+phi_2))]]\n",
    "            rho = mesolve(H_time, Qstate_initial, tlist, c_ops, [])\n",
    "        \n",
    "            rho22 = np.zeros(len(rho.states))\n",
    "            for index in range(0,len(rho.states)):\n",
    "                rho22[index] = rho.states[index].full()[1][1].real\n",
    "\n",
    "            # Loss\n",
    "            I_loss = omega*N*Gamma_spont/((tlist[-1] - tlist[0])*scaling) * integrate.simpson(rho22, tlist*scaling)\n",
    "            \n",
    "            alpha[i] = I_loss/I\n",
    "            \n",
    "            if (i/length_sw*100) >= palier:\n",
    "                print(i/length_sw*100, \"%\")\n",
    "                palier += step\n",
    "    \n",
    "        return alpha\n",
    "    \n",
    "    def spectrum_v_SteadyState(self, spectral_window, velocity):\n",
    "        \n",
    "        #Quantum system\n",
    "        Qsyst = self.medium.getQuantumSystem()\n",
    "        psi_1, psi_2 = Qsyst.getBasis()\n",
    "        omega_0 = Qsyst.getAngularFrequency()\n",
    "        X12 = Qsyst.getDipoleMoment_X12()\n",
    "        A21 = Qsyst.getEinsteinCoefficient_A21()\n",
    "        v = velocity\n",
    "        \n",
    "        #Universal constants\n",
    "        h = Qsyst.get_h()\n",
    "        c = Qsyst.get_c()\n",
    "        epsilon_0 = Qsyst.get_epsilon_0()\n",
    "        \n",
    "        #Laser\n",
    "        E = self.laser.getElectricFieldAmplitude()\n",
    "        I = self.laser.getIntensity()\n",
    "        phi_time = self.laser.getPhaseTime()\n",
    "        phi_space = self.laser.getPhaseSpace()\n",
    "        \n",
    "        phi_1 = phi_time + phi_space\n",
    "        phi_2 = phi_time - phi_space\n",
    "        \n",
    "        #Collapse operators\n",
    "        c_ops = []\n",
    "        c_ops.append(np.sqrt(A21) * psi_1 * psi_2.dag())\n",
    "        \n",
    "        #Rabi frequency\n",
    "        Omega_R = -X12*(E/2)\n",
    "        \n",
    "        #Hamiltonian (without time dependance)\n",
    "        H1 = Qobj(np.array([[0, Omega_R/2], [0, 0]]))\n",
    "        H2 = Qobj(np.array([[0, 0], [np.conjugate(Omega_R/2), 0]]))\n",
    "        \n",
    "        length_sw = len(spectral_window)\n",
    "        alpha = np.zeros(length_sw)\n",
    "        \n",
    "        palier = 0.0\n",
    "        step = 5\n",
    "        for i in range(length_sw):\n",
    "            \n",
    "            # Initial density matrix\n",
    "            Qstate_initial = Qobj([[1, 0], [0, 0]])\n",
    "            \n",
    "            omega = spectral_window[i]\n",
    "            \n",
    "            # Doppler\n",
    "            k = omega / c \n",
    "            delta_blue = omega + k*v - omega_0\n",
    "            delta_red = omega - k*v - omega_0\n",
    "            \n",
    "            #Time\n",
    "            if v != 0.0:\n",
    "                T_kv = abs(2*np.pi/(k*v))\n",
    "                n_time_steady_state = 10\n",
    "                n_time_oscillations = 4\n",
    "                time_end = n_time_steady_state*(1/A21) + n_time_oscillations*(T_kv/2)\n",
    "                T_Omega_R_demi = abs(2*(2*np.pi)/Omega_R)\n",
    "                time_subdivision = max(int((time_end/T_Omega_R_demi)*20000), int((time_end/T_kv)*2000))\n",
    "                #time_subdivision = int((time_end/T_Omega_R_demi)*20000)\n",
    "                tlist = np.linspace(0, time_end, time_subdivision)\n",
    "                \n",
    "                n = 4\n",
    "                t_steady_state = np.abs(tlist - n*(T_kv/2)).argmin()\n",
    "            else:\n",
    "                n_time = 20\n",
    "                time_end = n_time*(1/A21)\n",
    "                T_Omega_R_demi = abs(2*(2*np.pi)/Omega_R)\n",
    "                time_subdivision = int((time_end/T_Omega_R_demi)*20000)\n",
    "                tlist = np.linspace(0, time_end, time_subdivision)\n",
    "                \n",
    "                n = 10\n",
    "                t_steady_state = np.abs(tlist - n*(1/A21)).argmin()\n",
    "            \n",
    "            #Solution of the Lindblad equation\n",
    "            H_time = [[H1, np.exp(1j*(delta_blue*tlist+phi_1)) + np.exp(1j*(delta_red*tlist+phi_2))], \n",
    "                      [H2, np.exp(-1j*(delta_blue*tlist+phi_1)) + np.exp(-1j*(delta_red*tlist+phi_2))]]\n",
    "            rho = mesolve(H_time, Qstate_initial, tlist, c_ops, [])\n",
    "        \n",
    "            rho22_LB = np.zeros(len(rho.states))\n",
    "            for index in range(0,len(rho.states)):\n",
    "                rho22_LB[index] = rho.states[index].full()[1][1].real\n",
    "\n",
    "            # number density\n",
    "            N = 1\n",
    "\n",
    "            # Loss\n",
    "            I_loss = omega*N*A21/(tlist[-1] - tlist[t_steady_state]) * \\\n",
    "                    integrate.simpson(rho22_LB[t_steady_state:len(tlist)], tlist[t_steady_state:len(tlist)])\n",
    "            \n",
    "            alpha[i] = I_loss/I\n",
    "            \n",
    "            if (i/length_sw*100) >= palier:\n",
    "                print(i/length_sw*100, \"%\")\n",
    "                palier += step\n",
    "    \n",
    "        return alpha\n",
    "    \n",
    "    def spectrum_Transit(self, omega, transit_time, N, v_ref, debugging = False):\n",
    "        \n",
    "        #Quantum system\n",
    "        Qsyst = self.medium.getQuantumSystem()\n",
    "        psi_1, psi_2 = Qsyst.getBasis()\n",
    "        omega_0 = Qsyst.getAngularFrequency()\n",
    "        X12 = Qsyst.getDipoleMoment_X12()\n",
    "        Gamma = self.medium.getGammaPressure()\n",
    "        Gamma_spont = Qsyst.getGamma()\n",
    "        \n",
    "        #Universal constants\n",
    "        h = Qsyst.get_h()\n",
    "        c = Qsyst.get_c()\n",
    "        epsilon_0 = Qsyst.get_epsilon_0()\n",
    "        \n",
    "        #Laser\n",
    "        E = self.laser.getElectricFieldAmplitude()\n",
    "        I = self.laser.getIntensity()\n",
    "        phi_time = self.laser.getPhaseTime()\n",
    "        phi_space = self.laser.getPhaseSpace()\n",
    "        \n",
    "        phi_1 = phi_time + phi_space\n",
    "        phi_2 = phi_time - phi_space\n",
    "        \n",
    "        #Rabi frequency\n",
    "        Omega_R = -X12*(E/2)\n",
    "        \n",
    "        #Scaling\n",
    "        scaling = 1e10\n",
    "        Omega_R_solver = scaling*Omega_R\n",
    "        Gamma_solver = scaling*Gamma\n",
    "        \n",
    "        #Collapse operators\n",
    "        c_ops = []\n",
    "        c_ops.append(np.sqrt(Gamma_solver) * psi_1 * psi_2.dag())\n",
    "        \n",
    "        #Velocity sampling\n",
    "        k = omega / c \n",
    "        v_shift = abs(omega_0 - omega)/k\n",
    "        f_v, v = self.medium.distMB_AdaptativeSampling(v_shift, v_ref)\n",
    "        alpha_v = np.zeros(len(v))\n",
    "    \n",
    "        #Hamiltonian (without time dependance)\n",
    "        H1 = Qobj(np.array([[0, Omega_R_solver/2], [0, 0]]))\n",
    "        H2 = Qobj(np.array([[0, 0], [np.conjugate(Omega_R_solver/2), 0]]))\n",
    "        \n",
    "        for i in range(len(v)):\n",
    "        \n",
    "            # Initial density matrix\n",
    "            Qstate_initial = Qobj([[1, 0], [0, 0]])\n",
    "        \n",
    "            # Doppler\n",
    "            delta_blue = omega + k*v[i] - omega_0\n",
    "            delta_red = omega - k*v[i] - omega_0\n",
    "            \n",
    "            delta_blue_solver = scaling*delta_blue\n",
    "            delta_red_solver = scaling*delta_red\n",
    "            \n",
    "            #Time\n",
    "            time_end = (1/scaling)*transit_time\n",
    "            time_subdivision = 20000\n",
    "            tlist = np.linspace(0, time_end, time_subdivision)\n",
    "                \n",
    "            #Solution of the Lindblad equation\n",
    "            H_time = [[H1, np.exp(1j*(delta_blue_solver*tlist+phi_1)) + np.exp(1j*(delta_red_solver*tlist+phi_2))], \n",
    "                      [H2, np.exp(-1j*(delta_blue_solver*tlist+phi_1)) + np.exp(-1j*(delta_red_solver*tlist+phi_2))]]\n",
    "            rho = mesolve(H_time, Qstate_initial, tlist, c_ops, [])\n",
    "    \n",
    "            rho22 = np.zeros(len(rho.states))\n",
    "            for index in range(0,len(rho.states)):\n",
    "                rho22[index] = rho.states[index].full()[1][1].real\n",
    "\n",
    "            # Loss\n",
    "            I_loss = omega*N*Gamma_spont/((tlist[-1] - tlist[0])*scaling) * integrate.simpson(rho22, tlist*scaling)\n",
    "        \n",
    "            alpha_v[i] = I_loss/I\n",
    "            \n",
    "        alpha = integrate.simpson(f_v*alpha_v, v)\n",
    "            \n",
    "        if debugging == True:\n",
    "            return alpha_v\n",
    "        else:\n",
    "            return alpha\n",
    "        ### Debugging ###\n",
    "        #return alpha_v\n",
    "    \n",
    "    def spectrum_Transit_broadened_MB(self, spectral_window, transit_time, N, v_ref):\n",
    "        \n",
    "        length_sw = len(spectral_window)\n",
    "        \n",
    "        palier = 0.0\n",
    "        step = 5\n",
    "        alpha = np.zeros(length_sw)\n",
    "        for i in range(length_sw):\n",
    "            alpha[i] = self.spectrum_Transit(spectral_window[i], transit_time, N, v_ref, debugging = False)\n",
    "            \n",
    "            if (i/length_sw*100) >= palier:\n",
    "                print(i/length_sw*100, \"%\")\n",
    "                palier += step\n",
    "        \n",
    "        return alpha\n",
    "    \n",
    "    def spectrum_SteadyState(self, omega, v_ref):\n",
    "        \n",
    "        #Quantum system\n",
    "        Qsyst = self.medium.getQuantumSystem()\n",
    "        psi_1, psi_2 = Qsyst.getBasis()\n",
    "        omega_0 = Qsyst.getAngularFrequency()\n",
    "        X12 = Qsyst.getDipoleMoment_X12()\n",
    "        A21 = Qsyst.getEinsteinCoefficient_A21()\n",
    "        \n",
    "        #Universal constants\n",
    "        h = Qsyst.get_h()\n",
    "        c = Qsyst.get_c()\n",
    "        epsilon_0 = Qsyst.get_epsilon_0()\n",
    "        \n",
    "        #Laser\n",
    "        E = self.laser.getElectricFieldAmplitude()\n",
    "        I = self.laser.getIntensity()\n",
    "        phi_time = self.laser.getPhaseTime()\n",
    "        phi_space = self.laser.getPhaseSpace()\n",
    "        \n",
    "        phi_1 = phi_time + phi_space\n",
    "        phi_2 = phi_time - phi_space\n",
    "        \n",
    "        #Collapse operators\n",
    "        c_ops = []\n",
    "        c_ops.append(np.sqrt(A21) * psi_1 * psi_2.dag())\n",
    "        \n",
    "        #Velocityn sampling\n",
    "        k = omega / c \n",
    "        v_shift = abs(omega_0 - omega)/k\n",
    "        f_v, v = self.medium.distMB_AdaptativeSampling(v_shift, v_ref)\n",
    "        alpha_v = np.zeros(len(v))\n",
    "            \n",
    "        #Rabi frequency\n",
    "        Omega_R = -X12*(E/2)\n",
    "    \n",
    "        #Hamiltonian (without time dependance)\n",
    "        H1 = Qobj(np.array([[0, Omega_R/2], [0, 0]]))\n",
    "        H2 = Qobj(np.array([[0, 0], [np.conjugate(Omega_R/2), 0]]))\n",
    "        \n",
    "        for i in range(len(v)):\n",
    "        \n",
    "            # Initial density matrix\n",
    "            Qstate_initial = Qobj([[1, 0], [0, 0]])\n",
    "        \n",
    "            # Doppler\n",
    "            delta_blue = omega + k*v[i] - omega_0\n",
    "            delta_red = omega - k*v[i] - omega_0\n",
    "            \n",
    "            #Time\n",
    "            T_kv = abs(2*np.pi/(k*v[i]))\n",
    "            n_time_steady_state = 10\n",
    "            n_time_oscillations = 4\n",
    "            time_end = n_time_steady_state*(1/A21) + n_time_oscillations*(T_kv/2)\n",
    "            T_Omega_R_demi = abs(2*(2*np.pi)/Omega_R)\n",
    "            time_subdivision = max(int((time_end/T_Omega_R_demi)*20000), int((time_end/T_kv)*2000))\n",
    "            tlist = np.linspace(0, time_end, time_subdivision)\n",
    "                \n",
    "            #Solution of the Lindblad equation\n",
    "            H_time = [[H1, np.exp(1j*(delta_blue*tlist+phi_1)) + np.exp(1j*(delta_red*tlist+phi_2))], \n",
    "                      [H2, np.exp(-1j*(delta_blue*tlist+phi_1)) + np.exp(-1j*(delta_red*tlist+phi_2))]]\n",
    "            rho = mesolve(H_time, Qstate_initial, tlist, c_ops, [])\n",
    "    \n",
    "            rho22_LB = np.zeros(len(rho.states))\n",
    "            for index in range(0,len(rho.states)):\n",
    "                rho22_LB[index] = rho.states[index].full()[1][1].real\n",
    "            \n",
    "            n = 4\n",
    "            t_steady_state = np.abs(tlist - n*(1/A21)).argmin()\n",
    "\n",
    "            # number density\n",
    "            N = 1\n",
    "\n",
    "            # Loss\n",
    "            I_loss = omega*N*A21/(tlist[-1] - tlist[t_steady_state]) * \\\n",
    "                    integrate.simpson(rho22_LB[t_steady_state:len(tlist)], tlist[t_steady_state:len(tlist)])\n",
    "        \n",
    "            alpha_v[i] = I_loss/I\n",
    "            \n",
    "        alpha = integrate.simpson(f_v*alpha_v, v)\n",
    "            \n",
    "        return alpha\n",
    "        ### Debugging ###\n",
    "        #return alpha_v\n",
    "    \n",
    "    def spectrum_SteadyState_broadened_MB(self, spectral_window, v_ref):\n",
    "        \n",
    "        length_sw = len(spectral_window)\n",
    "        \n",
    "        palier = 0.0\n",
    "        step = 5\n",
    "        alpha = np.zeros(length_sw)\n",
    "        for i in range(length_sw):\n",
    "            alpha[i] = self.spectrum_SteadyState(spectral_window[i], v_ref)\n",
    "            \n",
    "            if (i/length_sw*100) >= palier:\n",
    "                print(i/length_sw*100, \"%\")\n",
    "                palier += step\n",
    "        \n",
    "        return alpha"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8c674d9",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-info\">\n",
    "Parameters for HD ((2-0) R(1) transition):\n",
    "    \\begin{equation}\n",
    "        f_{0} = 217.105.181.901(50) ~\\text{kHz}  \\qquad \\text{Source : Diouf2019, abstract}\n",
    "    \\end{equation}\n",
    "    \\begin{equation}\n",
    "        D_{20} = 0,20(2) ~10^{-4} ~\\text{D}  \\qquad \\text{Source : PhysRevA.78.052503, page 4}\n",
    "    \\end{equation}\n",
    "    \\begin{equation}\n",
    "        \\Gamma_{21} = ~\\sim 1 ~\\text{Hz}  \\qquad \\text{Source : Cozijn2018, page 2}\n",
    "    \\end{equation}\n",
    "    \\begin{equation}\n",
    "        \\Gamma_{pressure} = ~\\sim 100 ~\\text{kHz}  \\qquad \\text{Source : Diouf2019, page 3}\n",
    "    \\end{equation}\n",
    "    \n",
    "Parameters for the Laser:\n",
    "    \\begin{equation}\n",
    "        P = ~\\sim 100 ~\\text{W} \\qquad \\text{Source : Diouf2019, page 2}\n",
    "    \\end{equation}\n",
    "    \\begin{equation}\n",
    "        w_{0} = 450 ~\\mu \\text{m} \\qquad \\text{Source : Thesis Cozijn, page 89}\n",
    "    \\end{equation}\n",
    "    \\begin{equation}\n",
    "        A = \\pi w_{0}^{2} ~\\sim 0,64 ~\\text{mm}^{2} = 0,64 \\cdot 10^{-6} ~\\text{m}^{2}\n",
    "    \\end{equation}\n",
    "    \\begin{equation}\n",
    "        I = ~\\sim 156,25 ~\\text{W}/\\text{mm}^{2}\n",
    "    \\end{equation}\n",
    "    \\begin{equation}\n",
    "        \\delta = 0 \\rightarrow \\sim \\pm 1 ~\\text{MHz} \\qquad \\text{Source : Diouf2019, page 2}\n",
    "    \\end{equation}\n",
    "    \n",
    "Parameters for the HD gas:\n",
    "    \\begin{equation}\n",
    "        M_{\\text{HD}} = 3 ~\\text{g/mol}\n",
    "    \\end{equation}\n",
    "    \\begin{equation}\n",
    "        T = ~\\sim 300 ~\\text{K} \\qquad \\text{Source : Thesis Cozijn}\n",
    "    \\end{equation}\n",
    "    \\begin{equation}\n",
    "        L_{\\text{cavity}} = 371 ~\\text{mm} \\qquad \\text{Source : Thesis Cozijn, page 58}\n",
    "    \\end{equation}\n",
    "    \\begin{equation}\n",
    "        D_{\\text{cavity}} = 10 ~\\text{mm} \\qquad \\text{Source : Thesis Cozijn, page 58}\n",
    "    \\end{equation}\n",
    "    \\begin{equation}\n",
    "        V_{\\text{cavity}} = L_{\\text{cavity}} \\pi (D_{\\text{cavity}}/2)^{2} = 9275 \\pi ~\\text{mm}^{3} \\qquad \\text{Source : Thesis Cozijn, page 58}\n",
    "    \\end{equation}\n",
    "    \\begin{equation}\n",
    "        p = 0,25 ~\\text{to} 10 ~\\text{Pa} \\qquad \\text{Source : Diouf2019, page 1 and 2}\n",
    "    \\end{equation}\n",
    "    \\begin{equation}\n",
    "        N = p/RT\n",
    "    \\end{equation}\n",
    "\n",
    "Atomic units:\n",
    "    \\begin{align}\n",
    "        \\text{Planck constant:} ~\\hbar &= 1 \\\\\n",
    "        \\text{Elementary charge:} ~e &= 1 \\\\\n",
    "        \\text{Electron mass:} ~m_{e} &= 1 \\\\\n",
    "        \\text{Permittivity:} ~4 \\pi \\epsilon_{0} &= 1\n",
    "    \\end{align}\n",
    "\n",
    "Link with SI units:\n",
    "    \\begin{align}\n",
    "        \\text{Unit frequency:} ~f_{unit} &= 4,1341372037472936 \\cdot 10^{16} \\\\\n",
    "        \\text{Unit dipole moment:} ~D_{unit} &= 8,478353680405253e \\cdot 10^{-30} \\\\\n",
    "        \\text{Unit power:} ~P_{unit} &= 0,18023782278105852 \\\\\n",
    "        \\text{Unit area:} ~A_{unit} &= 2,8002852877747084e \\cdot 10^{-21} \\\\\n",
    "        \\text{Unit intensity:} ~I_{unit} &= 6,436409303292358 \\cdot 10^{19} \\\\\n",
    "    \\end{align}\n",
    "    \n",
    "Note:\n",
    "    \\begin{equation}\n",
    "        1 ~\\text{D} \\simeq \\frac{1}{299792458} 10^{-21} ~\\text{C} \\cdot \\text{m}\n",
    "    \\end{equation}\n",
    "Thus:\n",
    "    \\begin{equation}\n",
    "        f_{0} = 5,251523381909289 \\cdot 10^{-3}\n",
    "    \\end{equation}\n",
    "    \\begin{equation}\n",
    "        D_{20} = 0,393430266973963\n",
    "    \\end{equation}\n",
    "    \\begin{equation}\n",
    "        \\Gamma_{21} = 2,4188844025146845 \\cdot 10^{-17}\n",
    "    \\end{equation}\n",
    "    \\begin{equation}\n",
    "        P = 18,0237822781058\n",
    "    \\end{equation}\n",
    "    \\begin{equation}\n",
    "        A = 3,571064721032999 \\cdot 10^{16}\n",
    "    \\end{equation}\n",
    "    \\begin{equation}\n",
    "        I = 7,841597692927481 \\cdot 10^{-36}\n",
    "    \\end{equation}\n",
    "Light speed:\n",
    "    \\begin{equation}\n",
    "        c = 137,0360013696001\n",
    "    \\end{equation}\n",
    "Planck constant:\n",
    "    \\begin{equation}\n",
    "        h = 2 \\pi\n",
    "    \\end{equation}\n",
    "Boltzmann constant:\n",
    "    \\begin{equation}\n",
    "        k_B = 3,1668116648024327 \\cdot 10^{-6}\n",
    "    \\end{equation}\n",
    "Gas constant:\n",
    "    \\begin{equation}\n",
    "        R = 1.9070985605850186 \\cdot 10^{18}\n",
    "    \\end{equation}\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "714f4cb4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "////// SI units \\\\\\\\\\\\ \n",
      "\n",
      "Constants: \n",
      "\n",
      "Light speed: c = 299792458 m/s\n",
      "Reduced Planck constant: hbar = 1.054571817e-34 kg m^2 s^-1\n",
      "Perfect gas constant: R = 8.31446261815324 J K^-1 mol^-1\n",
      "Boltzmann constant: k_B = 1.380649e-23 m^2 kg s^-2 K^-1\n",
      "Electron charge: e =  1.6021766207999999e-19 C\n",
      "Electron mass: m_e = 9.1093837139e-31 kg\n",
      "Dielectric permittivity of the void: 4*pi*epsilon_0 = 1.112650056352649e-10 kg^-1 m^-3 s^2 C^2\n",
      "Debye: 1 D = 3.33564095198152e-30 C m\n",
      "\n",
      "HD molecule parameters: \n",
      "\n",
      "Resonance frequency: f_0 = 217105181901000 Hz\n",
      "Dipole moment: D20 = 2e-05 D = 6.671281903963041e-35 C m\n",
      "Gamma (Natural) = 1 Hz\n",
      "Gamma (Pressure) = 100000.0 Hz\n",
      "\n",
      "HD gas parameters: \n",
      "\n",
      "Molar mass: M_HD = 0.003 kg/mol\n",
      "Mass: m_HD = 4.98161720152154e-27 kg\n",
      "Temperature: T = 300 K\n",
      " #Pressures:\n",
      " p = 0.25 Pa\n",
      " p = 0.5 Pa\n",
      " p = 2.5 Pa\n",
      " p = 10 Pa\n",
      " #Densities:\n",
      " N = 0.00010022696253560504 Nbr/m^3\n",
      " N = 0.00020045392507121008 Nbr/m^3\n",
      " N = 0.0010022696253560504 Nbr/m^3\n",
      " N = 0.004009078501424202 Nbr/m^3\n",
      "\n",
      "Laser parameters: \n",
      "\n",
      "Power: P = 100 W\n",
      "Waist: w_0 = 0.00045000000000000004 m\n",
      "Cross section =  6.361725123519333e-07 m^2\n",
      "Intensity: I = 157190067.25125462 W/m^2\n",
      "\n",
      "System: \n",
      "\n",
      "Most probable velocity: v_mp = 1289.5319009743994 m/s\n",
      "Transit path (45° at waist): transit_length = 0.0012727922061357858 m\n",
      "Transit time (45° at waist): transit_time = 9.8701878191151e-07 s\n",
      "Velocity for a Doppler shift of 1 MHz: v_1MHz = 1.380862747609154 m/s\n"
     ]
    }
   ],
   "source": [
    "##### SI units #####\n",
    "print(\"////// SI units \\\\\\\\\\\\\\\\\\\\\\\\ \\n\")\n",
    "\n",
    "## Constants ##\n",
    "\n",
    "c_SI = 299792458 # m/s [Length Time^-1]\n",
    "hbar_SI = 1.054571817*1e-34 # kg m^2 s^-1 [Mass Length^2 Time^-1]\n",
    "R_SI = 8.31446261815324 #J K-1 mol-1 [Mass Length^2 Time^-2 Temp^-1 nbr^-1]\n",
    "k_B_SI = 1.380649*1e-23 # m^2 kg s^-2 K^-1 [Length^2 Mass Time^-2 Temp^-1]\n",
    "e_SI = 1.6021766208*1e-19 # C [Charge]\n",
    "m_e_SI = 9.1093837139*1e-31 # kg [Mass]\n",
    "permittivity_SI = 4*np.pi*8.85418782*1e-12 # kg^-1 m^-3 s^2 C^2 [Mass^-1 Length^-3 Time^2 Charge^2]\n",
    "Debye_SI = 1/c_SI * 1e-21 # C m [Charge Length]\n",
    "\n",
    "## HD molecule ##\n",
    "f_0_SI = 217105181901000 # Hz [Time^-1]\n",
    "D20_Debye = 0.2*1e-4 # D [Charge Length]\n",
    "D20_SI = D20_Debye*Debye_SI # C m [Charge Length]\n",
    "Gamma_nat_SI = 1 # Hz [Time^-1]\n",
    "Gamma_pr_SI = 1e5 # Hz [Time^-1]\n",
    "\n",
    "## HD gas ##\n",
    "M_HD_SI = 0.003 # kg/mol [Mass Nbr^-1]\n",
    "N_A = 6.02214076*1e23 # Avogadro Number = 1 mol\n",
    "m_HD_SI = M_HD_SI/N_A # kg [Mass]\n",
    "T = 300 # K [Temp]\n",
    "\n",
    "pr_0p25_SI = 0.25 # Pa [Mass Length^-1 Time^-2]\n",
    "pr_0p5_SI = 0.5 # Pa [Mass Length^-1 Time^-2]\n",
    "pr_2p5_SI = 2.5 # Pa [Mass Length^-1 Time^-2]\n",
    "pr_10_SI = 10 # Pa [Mass Length^-1 Time^-2]\n",
    "\n",
    "N_0p25_SI = pr_0p25_SI/(R_SI*T) # Nbr/m^3 [Nbr Length^-3]\n",
    "N_0p5_SI = pr_0p5_SI/(R_SI*T) # Nbr/m^3 [Nbr Length^-3]\n",
    "N_2p5_SI = pr_2p5_SI/(R_SI*T) # Nbr/m^3 [Nbr Length^-3]\n",
    "N_10_SI = pr_10_SI/(R_SI*T) # Nbr/m^3 [Nbr Length^-3]\n",
    "\n",
    "## Laser ##\n",
    "P_SI = 100 # W [Length^2 Mass Time^-3]\n",
    "w_0_SI = 45*1e-5 # m [Length]\n",
    "Area_SI = np.pi*w_0_SI**2 # m^2 [Length^2]\n",
    "I_SI = P_SI / Area_SI # W / m^2 [Mass Time^-3]\n",
    "\n",
    "## System ##\n",
    "v_mp_SI = np.sqrt(2*k_B_SI*T/m_HD_SI) # m/s [Length Time^-1] (Most Probable speed: \"mp\")\n",
    "transit_length_SI = np.sqrt(2)*2*w_0_SI # m [Length]\n",
    "transit_time_SI = transit_length_SI/v_mp_SI # s [Time]\n",
    "v_1MHz_SI = 1e6 / f_0_SI * c_SI # m/s [Length Time^-1]\n",
    "\n",
    "print(\"Constants: \\n\")\n",
    "print(\"Light speed: c =\", c_SI, \"m/s\")\n",
    "print(\"Reduced Planck constant: hbar =\", hbar_SI, \"kg m^2 s^-1\")\n",
    "print(\"Perfect gas constant: R =\", R_SI, \"J K^-1 mol^-1\")\n",
    "print(\"Boltzmann constant: k_B =\", k_B_SI, \"m^2 kg s^-2 K^-1\")\n",
    "print(\"Electron charge: e = \", e_SI, \"C\")\n",
    "print(\"Electron mass: m_e =\", m_e_SI, \"kg\")\n",
    "print(\"Dielectric permittivity of the void: 4*pi*epsilon_0 =\", permittivity_SI, \"kg^-1 m^-3 s^2 C^2\")\n",
    "print(\"Debye: 1 D =\", Debye_SI, \"C m\")\n",
    "\n",
    "print(\"\\nHD molecule parameters: \\n\")\n",
    "print(\"Resonance frequency: f_0 =\", f_0_SI, \"Hz\")\n",
    "print(\"Dipole moment: D20 =\", D20_Debye, \"D =\", D20_SI, \"C m\")\n",
    "print(\"Gamma (Natural) =\", Gamma_nat_SI, \"Hz\")\n",
    "print(\"Gamma (Pressure) =\", Gamma_pr_SI, \"Hz\")\n",
    "\n",
    "print(\"\\nHD gas parameters: \\n\")\n",
    "print(\"Molar mass: M_HD =\", M_HD_SI, \"kg/mol\")\n",
    "print(\"Mass: m_HD =\", m_HD_SI, \"kg\")\n",
    "print(\"Temperature: T =\", T, \"K\")\n",
    "print(\" #Pressures:\")\n",
    "print(\" p =\", pr_0p25_SI, \"Pa\")\n",
    "print(\" p =\", pr_0p5_SI, \"Pa\")\n",
    "print(\" p =\", pr_2p5_SI, \"Pa\")\n",
    "print(\" p =\", pr_10_SI, \"Pa\")\n",
    "print(\" #Densities:\")\n",
    "print(\" N =\", N_0p25_SI, \"Nbr/m^3\")\n",
    "print(\" N =\", N_0p5_SI, \"Nbr/m^3\")\n",
    "print(\" N =\", N_2p5_SI, \"Nbr/m^3\")\n",
    "print(\" N =\", N_10_SI, \"Nbr/m^3\")\n",
    "\n",
    "print(\"\\nLaser parameters: \\n\")\n",
    "print(\"Power: P =\", P_SI, \"W\")\n",
    "print(\"Waist: w_0 =\", w_0_SI, \"m\")\n",
    "print(\"Cross section = \", Area_SI, \"m^2\")\n",
    "print(\"Intensity: I =\", I_SI, \"W/m^2\")\n",
    "\n",
    "print(\"\\nSystem: \\n\")\n",
    "print(\"Most probable velocity: v_mp =\", v_mp_SI, \"m/s\")\n",
    "print(\"Transit path (45° at waist): transit_length =\", transit_length_SI, \"m\")\n",
    "print(\"Transit time (45° at waist): transit_time =\", transit_time_SI, \"s\")\n",
    "print(\"Velocity for a Doppler shift of 1 MHz: v_1MHz =\", v_1MHz_SI, \"m/s\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "397e2aa3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "////// Atomic units \\\\\\\\\\\\ \n",
      "\n",
      "Conversion: \n",
      "\n",
      "Unit charge = 1.6021766207999999e-19\n",
      "Unit length = 5.291772186871529e-11\n",
      "Unit time = 2.4188844025146845e-17\n",
      "Unit mass = 9.1093837139e-31\n",
      "\n",
      "Constants: \n",
      "\n",
      "Light speed: c = 137.03600136960011\n",
      "Reduced Planck constant: hbar = 1\n",
      "Perfect gas constant: R = 1.9070985605850186e+18\n",
      "Boltzmann constant: k_B = 3.1668116648024327e-06\n",
      "Electron charge = 1\n",
      "Electron mass: m_e = 1\n",
      "Dielectric permittivity of the void: 4*pi*epsilon_0 = 1\n",
      "\n",
      "HD molecule parameters: \n",
      "\n",
      "Resonance frequency: f_0 = 0.005251523382054423\n",
      "Dipole moment: D20 = 7.868605339479262e-06\n",
      "Gamma (Natural) = 2.4188844025146845e-17\n",
      "Gamma (Pressure) = 2.4188844025146844e-12\n",
      "\n",
      "HD gas parameters: \n",
      "\n",
      "Molar mass: M_HD = 3.2933073127903296e+27\n",
      "Mass: m_HD = 5468.665453097661\n",
      "Temperature: T = 300\n",
      " #Pressures:\n",
      " p = 8.497327951281108e-15\n",
      " p = 1.6994655902562217e-14\n",
      " p = 8.497327951281107e-14\n",
      " p = 3.398931180512443e-13\n",
      " #Densities:\n",
      " N = 1.4852104180489552e-35\n",
      " N = 2.9704208360979105e-35\n",
      " N = 1.485210418048955e-34\n",
      " N = 5.94084167219582e-34\n",
      "\n",
      "Laser parameters: \n",
      "\n",
      "Power: P = 554.8225031627999\n",
      "Waist: w_0 = 8503767.435726251\n",
      "Cross section =  227181321535091.84\n",
      "Intensity: I = 2.4422012312182916e-12\n",
      "\n",
      "System: \n",
      "\n",
      "Most probable velocity: v_mp = 0.0005894487690816786\n",
      "Transit path (45° at waist): transit_length = 24052286.477741487\n",
      "Transit time (45° at waist): transit_time = 40804710670.9771\n",
      "Velocity for a Doppler shift of 1 MHz: v_1MHz = 6.31196363761085e-07\n"
     ]
    }
   ],
   "source": [
    "##### Atomic units #####\n",
    "print(\"////// Atomic units \\\\\\\\\\\\\\\\\\\\\\\\ \\n\")\n",
    "\n",
    "# Conversion\n",
    "\n",
    "unit_Charge = e_SI\n",
    "unit_Length = (permittivity_SI*hbar_SI**2)/(e_SI**2 * m_e_SI)\n",
    "unit_Time = ((permittivity_SI**2)*(hbar_SI**3))/(e_SI**4 * m_e_SI)\n",
    "unit_Mass = m_e_SI\n",
    "\n",
    "print(\"Conversion: \\n\")\n",
    "print(\"Unit charge =\", unit_Charge)\n",
    "print(\"Unit length =\", unit_Length)\n",
    "print(\"Unit time =\", unit_Time)\n",
    "print(\"Unit mass =\", unit_Mass)\n",
    "\n",
    "## Constants ##\n",
    "\n",
    "h = 2*np.pi\n",
    "c = c_SI /unit_Length * unit_Time\n",
    "hbar = 1\n",
    "R = R_SI /(unit_Mass*unit_Length**2)*unit_Time**2\n",
    "k_B = k_B_SI /(unit_Mass*unit_Length**2)*unit_Time**2\n",
    "e = 1\n",
    "m_e = 1\n",
    "permittivity = 1\n",
    "\n",
    "## HD molecule ##\n",
    "f_0 = f_0_SI * unit_Time # [Time^-1]\n",
    "D20 = D20_SI /(unit_Charge*unit_Length)# [Charge Length]\n",
    "Gamma_nat = Gamma_nat_SI * unit_Time # [Time^-1]\n",
    "Gamma_pr = Gamma_pr_SI * unit_Time # [Time^-1]\n",
    "\n",
    "## HD gas ##\n",
    "M_HD = M_HD_SI /unit_Mass # kg/mol [Mass Nbr^-1]\n",
    "m_HD = m_HD_SI / unit_Mass # kg [Mass]\n",
    "# (Same as before) T = 300 # K [Temp]\n",
    "\n",
    "pr_0p25 = pr_0p25_SI /unit_Mass *unit_Length*unit_Time**2 # [Mass Length^-1 Time^-2]\n",
    "pr_0p5 = pr_0p5_SI /unit_Mass *unit_Length*unit_Time**2 # [Mass Length^-1 Time^-2]\n",
    "pr_2p5 = pr_2p5_SI /unit_Mass *unit_Length*unit_Time**2 # [Mass Length^-1 Time^-2]\n",
    "pr_10 = pr_10_SI /unit_Mass *unit_Length*unit_Time**2 # [Mass Length^-1 Time^-2]\n",
    "\n",
    "N_0p25 = pr_0p25/(R*T) # Nbr/m^3 [Nbr Length^-3]\n",
    "N_0p5 = pr_0p5/(R*T) # Nbr/m^3 [Nbr Length^-3]\n",
    "N_2p5 = pr_2p5/(R*T) # Nbr/m^3 [Nbr Length^-3]\n",
    "N_10 = pr_10/(R*T) # Nbr/m^3 [Nbr Length^-3]\n",
    "\n",
    "## Laser ##\n",
    "P = P_SI /(unit_Length**2 *unit_Mass) * unit_Time**3 # [L^2 M T^-3]\n",
    "w_0 = w_0_SI / unit_Length # m [L]\n",
    "Area = Area_SI / unit_Length**2 # m^2 [Length^2]\n",
    "I = I_SI /unit_Mass * unit_Time**3 # W / m^2 [Mass Time^-3]\n",
    "\n",
    "## System ##\n",
    "v_mp = v_mp_SI /unit_Length *unit_Time # m/s [Length Time^-1] (Most Probable speed: \"mp\")\n",
    "transit_length = transit_length_SI / unit_Length # m [Length]\n",
    "transit_time = transit_time_SI / unit_Time # s [Time]\n",
    "v_1MHz = v_1MHz_SI /unit_Length *unit_Time # m/s [Length Time^-1]\n",
    "\n",
    "print(\"\\nConstants: \\n\")\n",
    "print(\"Light speed: c =\", c)\n",
    "print(\"Reduced Planck constant: hbar =\", hbar)\n",
    "print(\"Perfect gas constant: R =\", R)\n",
    "print(\"Boltzmann constant: k_B =\", k_B)\n",
    "print(\"Electron charge =\", e)\n",
    "print(\"Electron mass: m_e =\", m_e)\n",
    "print(\"Dielectric permittivity of the void: 4*pi*epsilon_0 =\", permittivity)\n",
    "\n",
    "print(\"\\nHD molecule parameters: \\n\")\n",
    "print(\"Resonance frequency: f_0 =\", f_0)\n",
    "print(\"Dipole moment: D20 =\", D20)\n",
    "print(\"Gamma (Natural) =\", Gamma_nat)\n",
    "print(\"Gamma (Pressure) =\", Gamma_pr)\n",
    "\n",
    "print(\"\\nHD gas parameters: \\n\")\n",
    "print(\"Molar mass: M_HD =\", M_HD)\n",
    "print(\"Mass: m_HD =\", m_HD)\n",
    "print(\"Temperature: T =\", T)\n",
    "print(\" #Pressures:\")\n",
    "print(\" p =\", pr_0p25)\n",
    "print(\" p =\", pr_0p5)\n",
    "print(\" p =\", pr_2p5)\n",
    "print(\" p =\", pr_10)\n",
    "print(\" #Densities:\")\n",
    "print(\" N =\", N_0p25)\n",
    "print(\" N =\", N_0p5)\n",
    "print(\" N =\", N_2p5)\n",
    "print(\" N =\", N_10)\n",
    "\n",
    "print(\"\\nLaser parameters: \\n\")\n",
    "print(\"Power: P =\", P)\n",
    "print(\"Waist: w_0 =\", w_0)\n",
    "print(\"Cross section = \", Area)\n",
    "print(\"Intensity: I =\", I)\n",
    "\n",
    "print(\"\\nSystem: \\n\")\n",
    "print(\"Most probable velocity: v_mp =\", v_mp)\n",
    "print(\"Transit path (45° at waist): transit_length =\", transit_length)\n",
    "print(\"Transit time (45° at waist): transit_time =\", transit_time)\n",
    "print(\"Velocity for a Doppler shift of 1 MHz: v_1MHz =\", v_1MHz)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "5e6d1efd",
   "metadata": {},
   "outputs": [],
   "source": [
    "HD = QuantumSystem(default_mass = m_HD, default_transition_frequency = f_0, default_dipole_moment = D20, \n",
    "                   default_Gamma = Gamma_nat)\n",
    "\n",
    "IR_Laser = Laser(default_frequency = f_0, default_intensity = I, default_waist = w_0)\n",
    "\n",
    "HD_gas_pr0p25 = GazeousMedium(default_quantum_system = HD, default_temperature = T, default_pressure = pr_0p25,\n",
    "                              default_density = N_0p25, default_Gamma_collisions = Gamma_pr)\n",
    "\n",
    "HD_spectrum = Interactions(default_medium = HD_gas_pr0p25, default_laser = IR_Laser)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "eac99206",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Rabi frequency is Omega_R = 4.838943836142503e-13 = 20004.85773984037 sec^-1\n"
     ]
    }
   ],
   "source": [
    "Omega_R = HD_spectrum.RabiFrequency() / (2*np.pi)\n",
    "print(\"The Rabi frequency is Omega_R =\", Omega_R, \"=\", Omega_R/unit_Time, \"sec^-1\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f85831c3",
   "metadata": {},
   "source": [
    "## Question Clément"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "a8a975e2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The value of the Rabi splitting is Omega_R = 615773.4455194683 Hz\n"
     ]
    }
   ],
   "source": [
    "E_SI = np.sqrt((2*I_SI)/(8.85418782*1e-12 * 299792458))\n",
    "n_ph = 1 # 1 photon absorption\n",
    "Omega_R_Dovzhenko_SI = 2 * D20_SI * E_SI * np.sqrt(n_ph + 1)/hbar_SI\n",
    "print(\"The value of the Rabi splitting is Omega_R =\", Omega_R_Dovzhenko_SI, \"Hz\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "81aef982",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "344146.0832051608"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "E_SI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "568ca833",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6.671281903963041e-35"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "D20_SI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "3fe5acce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The value of the Rabi splitting is Omega_R = 1.4894847828497678e-11 = 615773.4455194683 sec^-1\n"
     ]
    }
   ],
   "source": [
    "# Eq (5) de DOI: 10.1039/c7nr06917k\n",
    "\n",
    "E = IR_Laser.getElectricFieldAmplitude()\n",
    "n_ph = 1 # 1 photon absorption\n",
    "Omega_R_Dovzhenko = 2*D20*E*np.sqrt(n_ph + 1)\n",
    "print(\"The value of the Rabi splitting is Omega_R =\", Omega_R_Dovzhenko, \"=\", Omega_R_Dovzhenko/unit_Time, \"sec^-1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "9d3b303c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "344146.0832051608"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "E*unit_Mass*unit_Length /(unit_Time**2 * unit_Charge)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "38716466",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6.671281903963042e-35"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "D20*unit_Charge*unit_Length"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "75d8d241",
   "metadata": {},
   "source": [
    "## Doppler broadening"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b47620ce",
   "metadata": {},
   "source": [
    "Foot page 152,\n",
    "\n",
    "\\begin{equation}\n",
    "    \\frac{\\Delta \\omega_{\\text{D}}}{\\omega_{0}} = 2 \\sqrt{\\ln(2)} \\frac{v_{\\text{mp}}}{c}\n",
    "\\end{equation}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "5b416c83",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FWHM Doppler = 1554978193.5243666 Hz\n"
     ]
    }
   ],
   "source": [
    "FWHM_Doppler = 2*np.sqrt(np.log(2)) * (v_mp_SI/c_SI) * f_0_SI\n",
    "print(\"FWHM Doppler =\", FWHM_Doppler, \"Hz\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a95d06b0",
   "metadata": {},
   "source": [
    "## Theoretical absorption coefficient at steady state"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "437595f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "dielectric_susceptibility_analytic = N_0p25 * (X12**2/epsilon_0) * (omega_0 - omega + 1j*Gamma /2)/(Gamma**2 / 4 + Omega_R**2 /2 + (omega - omega_0)**2)\n",
    "alpha_analytic = dielectric_susceptibility_analytic.imag"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "17c24ed9",
   "metadata": {},
   "source": [
    "# <center><b> Single HD molecule : No spontaneous emission </b></center>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "86d22a57",
   "metadata": {},
   "outputs": [],
   "source": [
    "omega_0 = HD.getAngularFrequency()\n",
    "\n",
    "#Resonance\n",
    "rho_res, time_res = HD_spectrum.DensityMatrixEvolution(omega_0, transit_time)\n",
    "\n",
    "#Detuning 1 kHz\n",
    "delta_1kHz = 1e3 * unit_Time # Conversion from SI units to atomic units\n",
    "omega_1kHz = omega_0 + delta_1kHz\n",
    "rho_1kHz, time_1kHz = HD_spectrum.DensityMatrixEvolution(omega_1kHz, transit_time)\n",
    "\n",
    "#Detuning 1 MHz\n",
    "delta_1MHz = 1e6 * unit_Time # Conversion from SI units to atomic units\n",
    "omega_1MHz = omega_0 + delta_1kHz\n",
    "rho_1MHz, time_1MHz = HD_spectrum.DensityMatrixEvolution(omega_1MHz, transit_time)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "b3ede9fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Resonance\n",
    "L_res = len(rho_res.states)\n",
    "pop1_res = np.zeros(L_res)\n",
    "pop2_res = np.zeros(L_res)\n",
    "rho12_real_res = np.zeros(L_res)\n",
    "rho21_real_res = np.zeros(L_res)\n",
    "rho12_imag_res = np.zeros(L_res)\n",
    "rho21_imag_res = np.zeros(L_res)\n",
    "\n",
    "for i in range(0,L_res):   \n",
    "    pop1_res[i] = rho_res.states[i].full()[0][0].real\n",
    "    pop2_res[i] = rho_res.states[i].full()[1][1].real\n",
    "    rho12_real_res[i] = rho_res.states[i].full()[0][1].real\n",
    "    rho21_real_res[i] = rho_res.states[i].full()[1][0].real\n",
    "    rho12_imag_res[i] = rho_res.states[i].full()[0][1].imag\n",
    "    rho21_imag_res[i] = rho_res.states[i].full()[1][0].imag\n",
    "    \n",
    "#Detuning 1 kHz\n",
    "L_1kHz = len(rho_1kHz.states)\n",
    "pop1_1kHz = np.zeros(L_1kHz)\n",
    "pop2_1kHz = np.zeros(L_1kHz)\n",
    "rho12_real_1kHz = np.zeros(L_1kHz)\n",
    "rho21_real_1kHz = np.zeros(L_1kHz)\n",
    "rho12_imag_1kHz = np.zeros(L_1kHz)\n",
    "rho21_imag_1kHz = np.zeros(L_1kHz)\n",
    "\n",
    "for i in range(0,L_1kHz):   \n",
    "    pop1_1kHz[i] = rho_1kHz.states[i].full()[0][0].real\n",
    "    pop2_1kHz[i] = rho_1kHz.states[i].full()[1][1].real\n",
    "    rho12_real_1kHz[i] = rho_1kHz.states[i].full()[0][1].real\n",
    "    rho21_real_1kHz[i] = rho_1kHz.states[i].full()[1][0].real\n",
    "    rho12_imag_1kHz[i] = rho_1kHz.states[i].full()[0][1].imag\n",
    "    rho21_imag_1kHz[i] = rho_1kHz.states[i].full()[1][0].imag\n",
    "    \n",
    "#Detuning 1 MHz\n",
    "L_1MHz = len(rho_1MHz.states)\n",
    "pop1_1MHz = np.zeros(L_1MHz)\n",
    "pop2_1MHz = np.zeros(L_1MHz)\n",
    "rho12_real_1MHz = np.zeros(L_1MHz)\n",
    "rho21_real_1MHz = np.zeros(L_1MHz)\n",
    "rho12_imag_1MHz = np.zeros(L_1MHz)\n",
    "rho21_imag_1MHz = np.zeros(L_1MHz)\n",
    "\n",
    "for i in range(0,L_1MHz):   \n",
    "    pop1_1MHz[i] = rho_1MHz.states[i].full()[0][0].real\n",
    "    pop2_1MHz[i] = rho_1MHz.states[i].full()[1][1].real\n",
    "    rho12_real_1MHz[i] = rho_1MHz.states[i].full()[0][1].real\n",
    "    rho21_real_1MHz[i] = rho_1MHz.states[i].full()[1][0].real\n",
    "    rho12_imag_1MHz[i] = rho_1MHz.states[i].full()[0][1].imag\n",
    "    rho21_imag_1MHz[i] = rho_1MHz.states[i].full()[1][0].imag"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "63b3f563",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "font_size = 14\n",
    "tick_font_size = 14\n",
    "\n",
    "#PLot populations\n",
    "plt.plot(time_res*unit_Time, pop1_res[0:len(time_res)], \"-\", c=\"blue\", label=\"$\\\\rho_{11} ~(Resonance)$\")\n",
    "plt.plot(time_res*unit_Time, pop2_res[0:len(time_res)], \":\",c=\"blue\", label=\"$\\\\rho_{22} ~(Resonance)$\")\n",
    "plt.plot(time_res*unit_Time, pop1_1kHz[0:len(time_1kHz)], \"-\", c=\"green\", label=\"$\\\\rho_{11} ~(\\delta = 1 kHz)$\")\n",
    "plt.plot(time_res*unit_Time, pop2_1kHz[0:len(time_1kHz)], \":\",c=\"green\", label=\"$\\\\rho_{22} ~(\\delta = 1 kHz)$\")\n",
    "plt.plot(time_res*unit_Time, pop1_1MHz[0:len(time_1MHz)], \"-\", c=\"red\", label=\"$\\\\rho_{11} ~(\\delta = 1 MHz)$\")\n",
    "plt.plot(time_res*unit_Time, pop2_1MHz[0:len(time_1MHz)], \":\",c=\"red\", label=\"$\\\\rho_{22} ~(\\delta = 1 MHz)$\")\n",
    "plt.xlabel(\"$time ~t ~[sec]$\", fontsize=font_size), plt.ylabel(\"Populations\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_PopulationsSingleMolecule.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "#PLot population 1\n",
    "plt.plot(time_res*unit_Time, pop1_res[0:len(time_res)], \"-\", c=\"blue\", label=\"$\\\\rho_{11} ~(Resonance)$\")\n",
    "plt.plot(time_res*unit_Time, pop1_1kHz[0:len(time_1kHz)], \"-.\", c=\"green\", label=\"$\\\\rho_{11} ~(\\delta = 1 kHz)$\")\n",
    "plt.plot(time_res*unit_Time, pop1_1MHz[0:len(time_1MHz)], \":\", c=\"red\", label=\"$\\\\rho_{11} ~(\\delta = 1 MHz)$\")\n",
    "plt.xlabel(\"$time ~t ~[sec]$\", fontsize=font_size), plt.ylabel(\"Population 1\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_Population1SingleMolecule.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "#PLot population 2\n",
    "plt.plot(time_res*unit_Time, pop2_res[0:len(time_res)], \"-\",c=\"blue\", label=\"$\\\\rho_{22} ~(Resonance)$\")\n",
    "plt.plot(time_res*unit_Time, pop2_1kHz[0:len(time_1kHz)], \"-.\",c=\"green\", label=\"$\\\\rho_{22} ~(\\delta = 1 kHz)$\")\n",
    "plt.plot(time_res*unit_Time, pop2_1MHz[0:len(time_1MHz)], \":\",c=\"red\", label=\"$\\\\rho_{22} ~(\\delta = 1 MHz)$\")\n",
    "plt.xlabel(\"$time ~t ~[sec]$\", fontsize=font_size), plt.ylabel(\"Population 2\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_Population2SingleMolecule.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "#PLot coherences real part\n",
    "plt.plot(time_res*unit_Time, rho12_real_res[0:len(time_res)], \"-\", c=\"blue\", label=\"$\\\\rho_{12} ~(Resonance)$\")\n",
    "plt.plot(time_res*unit_Time, rho21_real_res[0:len(time_res)], \":\",c=\"blue\", label=\"$\\\\rho_{21} ~(Resonance)$\")\n",
    "plt.plot(time_res*unit_Time, rho12_real_1kHz[0:len(time_1kHz)], \"-\", c=\"green\", label=\"$\\\\rho_{12} ~(\\delta = 1 kHz)$\")\n",
    "plt.plot(time_res*unit_Time, rho21_real_1kHz[0:len(time_1kHz)], \":\",c=\"green\", label=\"$\\\\rho_{21} ~(\\delta = 1 kHz)$\")\n",
    "plt.plot(time_res*unit_Time, rho12_real_1MHz[0:len(time_1MHz)], \"-\", c=\"red\", label=\"$\\\\rho_{12} ~(\\delta = 1 MHz)$\")\n",
    "plt.plot(time_res*unit_Time, rho21_real_1MHz[0:len(time_1MHz)], \":\",c=\"red\", label=\"$\\\\rho_{21} ~(\\delta = 1 MHz)$\")\n",
    "plt.xlabel(\"$time ~t ~[sec]$\", fontsize=font_size), plt.ylabel(\"Coherences real part\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_CoherencesRealSingleMolecule.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "#PLot coherences real part\n",
    "plt.plot(time_res*unit_Time, rho12_imag_res[0:len(time_res)], \"-\", c=\"blue\", label=\"$\\\\rho_{12} ~(Resonance)$\")\n",
    "plt.plot(time_res*unit_Time, rho21_imag_res[0:len(time_res)], \":\",c=\"blue\", label=\"$\\\\rho_{21} ~(Resonance)$\")\n",
    "plt.plot(time_res*unit_Time, rho12_imag_1kHz[0:len(time_1kHz)], \"-\", c=\"green\", label=\"$\\\\rho_{12} ~(\\delta = 1 kHz)$\")\n",
    "plt.plot(time_res*unit_Time, rho21_imag_1kHz[0:len(time_1kHz)], \":\",c=\"green\", label=\"$\\\\rho_{21} ~(\\delta = 1 kHz)$\")\n",
    "plt.plot(time_res*unit_Time, rho12_imag_1MHz[0:len(time_1MHz)], \"-\", c=\"red\", label=\"$\\\\rho_{12} ~(\\delta = 1 MHz)$\")\n",
    "plt.plot(time_res*unit_Time, rho21_imag_1MHz[0:len(time_1MHz)], \":\",c=\"red\", label=\"$\\\\rho_{21} ~(\\delta = 1 MHz)$\")\n",
    "plt.xlabel(\"$time  ~t ~[sec]$\", fontsize=font_size), plt.ylabel(\"Coherences imaginary part\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_CoherencesImagSingleMolecule.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c062835",
   "metadata": {},
   "source": [
    "# <center><b> Single HD molecule : With spontaneous emission </b></center>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "37322f66",
   "metadata": {},
   "outputs": [],
   "source": [
    "omega_0 = HD.getAngularFrequency()\n",
    "\n",
    "#Resonance\n",
    "rho_res_SE, time_res_SE = HD_spectrum.DensityMatrixEvolution_Col(omega_0, transit_time)\n",
    "\n",
    "#Detuning 1 kHz\n",
    "delta_1kHz = 1e3 * unit_Time # Conversion from SI units to atomic units\n",
    "omega_1kHz = omega_0 + 2*np.pi*delta_1kHz\n",
    "rho_1kHz_SE, time_1kHz_SE = HD_spectrum.DensityMatrixEvolution_Col(omega_1kHz, transit_time)\n",
    "\n",
    "#Detuning 1 MHz\n",
    "delta_1MHz = 1e6 * unit_Time # Conversion from SI units to atomic units\n",
    "omega_1MHz = omega_0 + 2*np.pi*delta_1MHz\n",
    "rho_1MHz_SE, time_1MHz = HD_spectrum.DensityMatrixEvolution_Col(omega_1MHz, transit_time)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "83843958",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Resonance\n",
    "L_res_SE = len(rho_res_SE.states)\n",
    "pop1_res_SE = np.zeros(L_res_SE)\n",
    "pop2_res_SE = np.zeros(L_res_SE)\n",
    "rho12_real_res_SE = np.zeros(L_res_SE)\n",
    "rho21_real_res_SE = np.zeros(L_res_SE)\n",
    "rho12_imag_res_SE = np.zeros(L_res_SE)\n",
    "rho21_imag_res_SE = np.zeros(L_res_SE)\n",
    "\n",
    "for i in range(0,L_res_SE):   \n",
    "    pop1_res_SE[i] = rho_res_SE.states[i].full()[0][0].real\n",
    "    pop2_res_SE[i] = rho_res_SE.states[i].full()[1][1].real\n",
    "    rho12_real_res_SE[i] = rho_res_SE.states[i].full()[0][1].real\n",
    "    rho21_real_res_SE[i] = rho_res_SE.states[i].full()[1][0].real\n",
    "    rho12_imag_res_SE[i] = rho_res_SE.states[i].full()[0][1].imag\n",
    "    rho21_imag_res_SE[i] = rho_res_SE.states[i].full()[1][0].imag\n",
    "    \n",
    "#Detuning 1 kHz\n",
    "L_1kHz_SE = len(rho_1kHz_SE.states)\n",
    "pop1_1kHz_SE = np.zeros(L_1kHz_SE)\n",
    "pop2_1kHz_SE = np.zeros(L_1kHz_SE)\n",
    "rho12_real_1kHz_SE = np.zeros(L_1kHz_SE)\n",
    "rho21_real_1kHz_SE = np.zeros(L_1kHz_SE)\n",
    "rho12_imag_1kHz_SE = np.zeros(L_1kHz_SE)\n",
    "rho21_imag_1kHz_SE = np.zeros(L_1kHz_SE)\n",
    "\n",
    "for i in range(0,L_1kHz_SE):   \n",
    "    pop1_1kHz_SE[i] = rho_1kHz_SE.states[i].full()[0][0].real\n",
    "    pop2_1kHz_SE[i] = rho_1kHz_SE.states[i].full()[1][1].real\n",
    "    rho12_real_1kHz_SE[i] = rho_1kHz_SE.states[i].full()[0][1].real\n",
    "    rho21_real_1kHz_SE[i] = rho_1kHz_SE.states[i].full()[1][0].real\n",
    "    rho12_imag_1kHz_SE[i] = rho_1kHz_SE.states[i].full()[0][1].imag\n",
    "    rho21_imag_1kHz_SE[i] = rho_1kHz_SE.states[i].full()[1][0].imag\n",
    "    \n",
    "#Detuning 1 MHz\n",
    "L_1MHz_SE = len(rho_1MHz_SE.states)\n",
    "pop1_1MHz_SE = np.zeros(L_1MHz_SE)\n",
    "pop2_1MHz_SE = np.zeros(L_1MHz_SE)\n",
    "rho12_real_1MHz_SE = np.zeros(L_1MHz_SE)\n",
    "rho21_real_1MHz_SE = np.zeros(L_1MHz_SE)\n",
    "rho12_imag_1MHz_SE = np.zeros(L_1MHz_SE)\n",
    "rho21_imag_1MHz_SE = np.zeros(L_1MHz_SE)\n",
    "\n",
    "for i in range(0,L_1MHz_SE):   \n",
    "    pop1_1MHz_SE[i] = rho_1MHz_SE.states[i].full()[0][0].real\n",
    "    pop2_1MHz_SE[i] = rho_1MHz_SE.states[i].full()[1][1].real\n",
    "    rho12_real_1MHz_SE[i] = rho_1MHz_SE.states[i].full()[0][1].real\n",
    "    rho21_real_1MHz_SE[i] = rho_1MHz_SE.states[i].full()[1][0].real\n",
    "    rho12_imag_1MHz_SE[i] = rho_1MHz_SE.states[i].full()[0][1].imag\n",
    "    rho21_imag_1MHz_SE[i] = rho_1MHz_SE.states[i].full()[1][0].imag"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "e14140e5",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "font_size = 14\n",
    "tick_font_size = 14\n",
    "\n",
    "#PLot populations\n",
    "plt.plot(time_res*unit_Time, pop1_res_SE[0:len(time_res)], \"-\", c=\"blue\", label=\"$\\\\rho_{11} ~(Resonance)$\")\n",
    "plt.plot(time_res*unit_Time, pop2_res_SE[0:len(time_res)], \":\",c=\"blue\", label=\"$\\\\rho_{22} ~(Resonance)$\")\n",
    "plt.plot(time_res*unit_Time, pop1_1kHz_SE[0:len(time_1kHz)], \"-\", c=\"green\", label=\"$\\\\rho_{11} ~(\\delta = 1 kHz)$\")\n",
    "plt.plot(time_res*unit_Time, pop2_1kHz_SE[0:len(time_1kHz)], \":\",c=\"green\", label=\"$\\\\rho_{22} ~(\\delta = 1 kHz)$\")\n",
    "plt.plot(time_res*unit_Time, pop1_1MHz_SE[0:len(time_1MHz)], \"-\", c=\"red\", label=\"$\\\\rho_{11} ~(\\delta = 1 MHz)$\")\n",
    "plt.plot(time_res*unit_Time, pop2_1MHz_SE[0:len(time_1MHz)], \":\",c=\"red\", label=\"$\\\\rho_{22} ~(\\delta = 1 MHz)$\")\n",
    "plt.xlabel(\"$time ~t ~[sec]$\", fontsize=font_size), plt.ylabel(\"Populations\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_PopulationsSingleMolecule.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "#PLot population 1\n",
    "plt.plot(time_res*unit_Time, pop1_res_SE[0:len(time_res)], \"-\", c=\"blue\", label=\"$\\\\rho_{11} ~(Resonance)$\")\n",
    "plt.plot(time_res*unit_Time, pop1_1kHz_SE[0:len(time_1kHz)], \"-.\", c=\"green\", label=\"$\\\\rho_{11} ~(\\delta = 1 kHz)$\")\n",
    "plt.plot(time_res*unit_Time, pop1_1MHz_SE[0:len(time_1MHz)], \":\", c=\"red\", label=\"$\\\\rho_{11} ~(\\delta = 1 MHz)$\")\n",
    "plt.xlabel(\"$time ~t ~[sec]$\", fontsize=font_size), plt.ylabel(\"Population 1\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_Population1SingleMolecule.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "#PLot population 2\n",
    "plt.plot(time_res*unit_Time, pop2_res_SE[0:len(time_res)], \"-\",c=\"blue\", label=\"$\\\\rho_{22} ~(Resonance)$\")\n",
    "plt.plot(time_res*unit_Time, pop2_1kHz_SE[0:len(time_1kHz)], \"-.\",c=\"green\", label=\"$\\\\rho_{22} ~(\\delta = 1 kHz)$\")\n",
    "plt.plot(time_res*unit_Time, pop2_1MHz_SE[0:len(time_1MHz)], \":\",c=\"red\", label=\"$\\\\rho_{22} ~(\\delta = 1 MHz)$\")\n",
    "plt.xlabel(\"$time ~t ~[sec]$\", fontsize=font_size), plt.ylabel(\"Population 2\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_Population2SingleMolecule.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "#PLot coherences real part\n",
    "plt.plot(time_res*unit_Time, rho12_real_res_SE[0:len(time_res)], \"-\", c=\"blue\", label=\"$\\\\rho_{12} ~(Resonance)$\")\n",
    "plt.plot(time_res*unit_Time, rho21_real_res_SE[0:len(time_res)], \":\",c=\"blue\", label=\"$\\\\rho_{21} ~(Resonance)$\")\n",
    "plt.plot(time_res*unit_Time, rho12_real_1kHz_SE[0:len(time_1kHz)], \"-\", c=\"green\", label=\"$\\\\rho_{12} ~(\\delta = 1 kHz)$\")\n",
    "plt.plot(time_res*unit_Time, rho21_real_1kHz_SE[0:len(time_1kHz)], \":\",c=\"green\", label=\"$\\\\rho_{21} ~(\\delta = 1 kHz)$\")\n",
    "plt.plot(time_res*unit_Time, rho12_real_1MHz_SE[0:len(time_1MHz)], \"-\", c=\"red\", label=\"$\\\\rho_{12} ~(\\delta = 1 MHz)$\")\n",
    "plt.plot(time_res*unit_Time, rho21_real_1MHz_SE[0:len(time_1MHz)], \":\",c=\"red\", label=\"$\\\\rho_{21} ~(\\delta = 1 MHz)$\")\n",
    "plt.xlabel(\"$time ~t ~[sec]$\", fontsize=font_size), plt.ylabel(\"Coherences real part\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_CoherencesRealSingleMolecule.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "#PLot coherences real part\n",
    "plt.plot(time_res*unit_Time, rho12_imag_res_SE[0:len(time_res)], \"-\", c=\"blue\", label=\"$\\\\rho_{12} ~(Resonance)$\")\n",
    "plt.plot(time_res*unit_Time, rho21_imag_res_SE[0:len(time_res)], \":\",c=\"blue\", label=\"$\\\\rho_{21} ~(Resonance)$\")\n",
    "plt.plot(time_res*unit_Time, rho12_imag_1kHz_SE[0:len(time_1kHz)], \"-\", c=\"green\", label=\"$\\\\rho_{12} ~(\\delta = 1 kHz)$\")\n",
    "plt.plot(time_res*unit_Time, rho21_imag_1kHz_SE[0:len(time_1kHz)], \":\",c=\"green\", label=\"$\\\\rho_{21} ~(\\delta = 1 kHz)$\")\n",
    "plt.plot(time_res*unit_Time, rho12_imag_1MHz_SE[0:len(time_1MHz)], \"-\", c=\"red\", label=\"$\\\\rho_{12} ~(\\delta = 1 MHz)$\")\n",
    "plt.plot(time_res*unit_Time, rho21_imag_1MHz_SE[0:len(time_1MHz)], \":\",c=\"red\", label=\"$\\\\rho_{21} ~(\\delta = 1 MHz)$\")\n",
    "plt.xlabel(\"$time  ~t ~[sec]$\", fontsize=font_size), plt.ylabel(\"Coherences imaginary part\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_CoherencesImagSingleMolecule.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f382e1e2",
   "metadata": {},
   "source": [
    "# <center><b> Single HD molecule moving in a cavity </b></center>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "903298c8",
   "metadata": {},
   "source": [
    "## Most probable velocity v_mp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "01dcd127",
   "metadata": {},
   "outputs": [],
   "source": [
    "omega_0 = HD.getAngularFrequency()\n",
    "\n",
    "### Velocity = 0 ###\n",
    "#Resonance\n",
    "rho_res_v0_1laser, rho_res_v0_2lasers, time_res_v0 = HD_spectrum.DensityMatrixEvolution_Cavity(omega_0, transit_time, 0)\n",
    "\n",
    "#Detuning 1 kHz\n",
    "delta_1kHz = 1e3 * unit_Time # Conversion from SI units to atomic units\n",
    "omega_1kHz = omega_0 + 2*np.pi*delta_1kHz\n",
    "rho_1kHz_v0_1laser, rho_1kHz_v0_2lasers, time_1kHz_v0 = HD_spectrum.DensityMatrixEvolution_Cavity(omega_1kHz, transit_time, 0)\n",
    "\n",
    "#Detuning 1 MHz\n",
    "delta_1MHz = 1e6 * unit_Time # Conversion from SI units to atomic units\n",
    "omega_1MHz = omega_0 + 2*np.pi*delta_1MHz\n",
    "rho_1MHz_v0_1laser, rho_1MHz_v0_2lasers, time_1MHz_v0 = HD_spectrum.DensityMatrixEvolution_Cavity(omega_1MHz, transit_time, 0)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "### Velocity = v_mp / 10 ###\n",
    "#Resonance\n",
    "rho_res_0p1vmp_1laser, rho_res_0p1vmp_2lasers, time_res_0p1vmp = HD_spectrum.DensityMatrixEvolution_Cavity(omega_0, transit_time, v_mp/10)\n",
    "\n",
    "#Detuning 1 kHz\n",
    "delta_1kHz = 1e3 * unit_Time # Conversion from SI units to atomic units\n",
    "omega_1kHz = omega_0 + 2*np.pi*delta_1kHz\n",
    "rho_1kHz_0p1vmp_1laser, rho_1kHz_0p1vmp_2lasers, time_1kHz_0p1vmp = HD_spectrum.DensityMatrixEvolution_Cavity(omega_1kHz, transit_time, v_mp/10)\n",
    "\n",
    "#Detuning 1 MHz\n",
    "delta_1MHz = 1e6 * unit_Time # Conversion from SI units to atomic units\n",
    "omega_1MHz = omega_0 + 2*np.pi*delta_1MHz\n",
    "rho_1MHz_0p1vmp_1laser, rho_1MHz_0p1vmp_2lasers, time_1MHz_0p1vmp = HD_spectrum.DensityMatrixEvolution_Cavity(omega_1MHz, transit_time, v_mp/10)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "### Velocity = v_mp ###\n",
    "#Resonance\n",
    "rho_res_vmp_1laser, rho_res_vmp_2lasers, time_res_vmp = HD_spectrum.DensityMatrixEvolution_Cavity(omega_0, transit_time, v_mp)\n",
    "\n",
    "#Detuning 1 kHz\n",
    "delta_1kHz = 1e3 * unit_Time # Conversion from SI units to atomic units\n",
    "omega_1kHz = omega_0 + 2*np.pi*delta_1MHz\n",
    "rho_1kHz_vmp_1laser, rho_1kHz_vmp_2lasers, time_1kHz_vmp = HD_spectrum.DensityMatrixEvolution_Cavity(omega_1kHz, transit_time, v_mp)\n",
    "\n",
    "#Detuning 1 MHz\n",
    "delta_1MHz = 1e6 * unit_Time # Conversion from SI units to atomic units\n",
    "omega_1MHz = omega_0 + 2*np.pi*delta_1MHz\n",
    "rho_1MHz_vmp_1laser, rho_1MHz_vmp_2lasers, time_1MHz_vmp = HD_spectrum.DensityMatrixEvolution_Cavity(omega_1MHz, transit_time, v_mp)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "### Velocity = 2 * v_mp ###\n",
    "#Resonance\n",
    "rho_res_2vmp_1laser, rho_res_2vmp_2lasers, time_res_2vmp = HD_spectrum.DensityMatrixEvolution_Cavity(omega_0, transit_time, 2*v_mp)\n",
    "\n",
    "#Detuning 1 kHz\n",
    "delta_1kHz = 1e3 * unit_Time # Conversion from SI units to atomic units\n",
    "omega_1kHz = omega_0 + 2*np.pi*delta_1MHz\n",
    "rho_1kHz_2vmp_1laser, rho_1kHz_2vmp_2lasers, time_1kHz_2vmp = HD_spectrum.DensityMatrixEvolution_Cavity(omega_1kHz, transit_time, 2*v_mp)\n",
    "\n",
    "#Detuning 1 MHz\n",
    "delta_1MHz = 1e6 * unit_Time # Conversion from SI units to atomic units\n",
    "omega_1MHz = omega_0 + 2*np.pi*delta_1MHz\n",
    "rho_1MHz_2vmp_1laser, rho_1MHz_2vmp_2lasers, time_1MHz_2vmp = HD_spectrum.DensityMatrixEvolution_Cavity(omega_1MHz, transit_time, 2*v_mp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "309c606e",
   "metadata": {},
   "outputs": [],
   "source": [
    "### velocity = 0 ###\n",
    "#Resonance\n",
    "L_res_v0_1laser = len(rho_res_v0_1laser.states)\n",
    "pop1_res_v0_1laser = np.zeros(L_res_v0_1laser)\n",
    "pop2_res_v0_1laser = np.zeros(L_res_v0_1laser)\n",
    "rho12_real_res_v0_1laser = np.zeros(L_res_v0_1laser)\n",
    "rho21_real_res_v0_1laser = np.zeros(L_res_v0_1laser)\n",
    "rho12_imag_res_v0_1laser = np.zeros(L_res_v0_1laser)\n",
    "rho21_imag_res_v0_1laser = np.zeros(L_res_v0_1laser)\n",
    "\n",
    "for i in range(0,L_res_v0_1laser):   \n",
    "    pop1_res_v0_1laser[i] = rho_res_v0_1laser.states[i].full()[0][0].real\n",
    "    pop2_res_v0_1laser[i] = rho_res_v0_1laser.states[i].full()[1][1].real\n",
    "    rho12_real_res_v0_1laser[i] = rho_res_v0_1laser.states[i].full()[0][1].real\n",
    "    rho21_real_res_v0_1laser[i] = rho_res_v0_1laser.states[i].full()[1][0].real\n",
    "    rho12_imag_res_v0_1laser[i] = rho_res_v0_1laser.states[i].full()[0][1].imag\n",
    "    rho21_imag_res_v0_1laser[i] = rho_res_v0_1laser.states[i].full()[1][0].imag\n",
    "    \n",
    "L_res_v0_2lasers = len(rho_res_v0_2lasers.states)\n",
    "pop1_res_v0_2lasers = np.zeros(L_res_v0_2lasers)\n",
    "pop2_res_v0_2lasers = np.zeros(L_res_v0_2lasers)\n",
    "rho12_real_res_v0_2lasers = np.zeros(L_res_v0_2lasers)\n",
    "rho21_real_res_v0_2lasers = np.zeros(L_res_v0_2lasers)\n",
    "rho12_imag_res_v0_2lasers = np.zeros(L_res_v0_2lasers)\n",
    "rho21_imag_res_v0_2lasers = np.zeros(L_res_v0_2lasers)\n",
    "\n",
    "for i in range(0,L_res_v0_2lasers):   \n",
    "    pop1_res_v0_2lasers[i] = rho_res_v0_2lasers.states[i].full()[0][0].real\n",
    "    pop2_res_v0_2lasers[i] = rho_res_v0_2lasers.states[i].full()[1][1].real\n",
    "    rho12_real_res_v0_2lasers[i] = rho_res_v0_2lasers.states[i].full()[0][1].real\n",
    "    rho21_real_res_v0_2lasers[i] = rho_res_v0_2lasers.states[i].full()[1][0].real\n",
    "    rho12_imag_res_v0_2lasers[i] = rho_res_v0_2lasers.states[i].full()[0][1].imag\n",
    "    rho21_imag_res_v0_2lasers[i] = rho_res_v0_2lasers.states[i].full()[1][0].imag\n",
    "    \n",
    "#Detuning 1 kHz\n",
    "L_1kHz_v0_1laser = len(rho_1kHz_v0_1laser.states)\n",
    "pop1_1kHz_v0_1laser = np.zeros(L_1kHz_v0_1laser)\n",
    "pop2_1kHz_v0_1laser = np.zeros(L_1kHz_v0_1laser)\n",
    "rho12_real_1kHz_v0_1laser = np.zeros(L_1kHz_v0_1laser)\n",
    "rho21_real_1kHz_v0_1laser = np.zeros(L_1kHz_v0_1laser)\n",
    "rho12_imag_1kHz_v0_1laser = np.zeros(L_1kHz_v0_1laser)\n",
    "rho21_imag_1kHz_v0_1laser = np.zeros(L_1kHz_v0_1laser)\n",
    "\n",
    "for i in range(0,L_1kHz_v0_1laser):   \n",
    "    pop1_1kHz_v0_1laser[i] = rho_1kHz_v0_1laser.states[i].full()[0][0].real\n",
    "    pop2_1kHz_v0_1laser[i] = rho_1kHz_v0_1laser.states[i].full()[1][1].real\n",
    "    rho12_real_1kHz_v0_1laser[i] = rho_1kHz_v0_1laser.states[i].full()[0][1].real\n",
    "    rho21_real_1kHz_v0_1laser[i] = rho_1kHz_v0_1laser.states[i].full()[1][0].real\n",
    "    rho12_imag_1kHz_v0_1laser[i] = rho_1kHz_v0_1laser.states[i].full()[0][1].imag\n",
    "    rho21_imag_1kHz_v0_1laser[i] = rho_1kHz_v0_1laser.states[i].full()[1][0].imag\n",
    "    \n",
    "L_1kHz_v0_2lasers = len(rho_1kHz_v0_2lasers.states)\n",
    "pop1_1kHz_v0_2lasers = np.zeros(L_1kHz_v0_2lasers)\n",
    "pop2_1kHz_v0_2lasers = np.zeros(L_1kHz_v0_2lasers)\n",
    "rho12_real_1kHz_v0_2lasers = np.zeros(L_1kHz_v0_2lasers)\n",
    "rho21_real_1kHz_v0_2lasers = np.zeros(L_1kHz_v0_2lasers)\n",
    "rho12_imag_1kHz_v0_2lasers = np.zeros(L_1kHz_v0_2lasers)\n",
    "rho21_imag_1kHz_v0_2lasers = np.zeros(L_1kHz_v0_2lasers)\n",
    "\n",
    "for i in range(0,L_1kHz_v0_2lasers):   \n",
    "    pop1_1kHz_v0_2lasers[i] = rho_1kHz_v0_2lasers.states[i].full()[0][0].real\n",
    "    pop2_1kHz_v0_2lasers[i] = rho_1kHz_v0_2lasers.states[i].full()[1][1].real\n",
    "    rho12_real_1kHz_v0_2lasers[i] = rho_1kHz_v0_2lasers.states[i].full()[0][1].real\n",
    "    rho21_real_1kHz_v0_2lasers[i] = rho_1kHz_v0_2lasers.states[i].full()[1][0].real\n",
    "    rho12_imag_1kHz_v0_2lasers[i] = rho_1kHz_v0_2lasers.states[i].full()[0][1].imag\n",
    "    rho21_imag_1kHz_v0_2lasers[i] = rho_1kHz_v0_2lasers.states[i].full()[1][0].imag\n",
    "\n",
    "#Detuning 1 MHz\n",
    "L_1MHz_v0_1laser = len(rho_1MHz_v0_1laser.states)\n",
    "pop1_1MHz_v0_1laser = np.zeros(L_1MHz_v0_1laser)\n",
    "pop2_1MHz_v0_1laser = np.zeros(L_1MHz_v0_1laser)\n",
    "rho12_real_1MHz_v0_1laser = np.zeros(L_1MHz_v0_1laser)\n",
    "rho21_real_1MHz_v0_1laser = np.zeros(L_1MHz_v0_1laser)\n",
    "rho12_imag_1MHz_v0_1laser = np.zeros(L_1MHz_v0_1laser)\n",
    "rho21_imag_1MHz_v0_1laser = np.zeros(L_1MHz_v0_1laser)\n",
    "\n",
    "for i in range(0,L_1MHz_v0_1laser):   \n",
    "    pop1_1MHz_v0_1laser[i] = rho_1MHz_v0_1laser.states[i].full()[0][0].real\n",
    "    pop2_1MHz_v0_1laser[i] = rho_1MHz_v0_1laser.states[i].full()[1][1].real\n",
    "    rho12_real_1MHz_v0_1laser[i] = rho_1MHz_v0_1laser.states[i].full()[0][1].real\n",
    "    rho21_real_1MHz_v0_1laser[i] = rho_1MHz_v0_1laser.states[i].full()[1][0].real\n",
    "    rho12_imag_1MHz_v0_1laser[i] = rho_1MHz_v0_1laser.states[i].full()[0][1].imag\n",
    "    rho21_imag_1MHz_v0_1laser[i] = rho_1MHz_v0_1laser.states[i].full()[1][0].imag\n",
    "    \n",
    "L_1MHz_v0_2lasers = len(rho_1MHz_v0_2lasers.states)\n",
    "pop1_1MHz_v0_2lasers = np.zeros(L_1MHz_v0_2lasers)\n",
    "pop2_1MHz_v0_2lasers = np.zeros(L_1MHz_v0_2lasers)\n",
    "rho12_real_1MHz_v0_2lasers = np.zeros(L_1MHz_v0_2lasers)\n",
    "rho21_real_1MHz_v0_2lasers = np.zeros(L_1MHz_v0_2lasers)\n",
    "rho12_imag_1MHz_v0_2lasers = np.zeros(L_1MHz_v0_2lasers)\n",
    "rho21_imag_1MHz_v0_2lasers = np.zeros(L_1MHz_v0_2lasers)\n",
    "\n",
    "for i in range(0,L_1MHz_v0_2lasers):   \n",
    "    pop1_1MHz_v0_2lasers[i] = rho_1MHz_v0_2lasers.states[i].full()[0][0].real\n",
    "    pop2_1MHz_v0_2lasers[i] = rho_1MHz_v0_2lasers.states[i].full()[1][1].real\n",
    "    rho12_real_1MHz_v0_2lasers[i] = rho_1MHz_v0_2lasers.states[i].full()[0][1].real\n",
    "    rho21_real_1MHz_v0_2lasers[i] = rho_1MHz_v0_2lasers.states[i].full()[1][0].real\n",
    "    rho12_imag_1MHz_v0_2lasers[i] = rho_1MHz_v0_2lasers.states[i].full()[0][1].imag\n",
    "    rho21_imag_1MHz_v0_2lasers[i] = rho_1MHz_v0_2lasers.states[i].full()[1][0].imag\n",
    "\n",
    "    \n",
    "    \n",
    "\n",
    "### velocity = v_mp/10 ###\n",
    "#Resonance\n",
    "L_res_0p1vmp_1laser = len(rho_res_0p1vmp_1laser.states)\n",
    "pop1_res_0p1vmp_1laser = np.zeros(L_res_0p1vmp_1laser)\n",
    "pop2_res_0p1vmp_1laser = np.zeros(L_res_0p1vmp_1laser)\n",
    "rho12_real_res_0p1vmp_1laser = np.zeros(L_res_0p1vmp_1laser)\n",
    "rho21_real_res_0p1vmp_1laser = np.zeros(L_res_0p1vmp_1laser)\n",
    "rho12_imag_res_0p1vmp_1laser = np.zeros(L_res_0p1vmp_1laser)\n",
    "rho21_imag_res_0p1vmp_1laser = np.zeros(L_res_0p1vmp_1laser)\n",
    "\n",
    "for i in range(0,L_res_0p1vmp_1laser):   \n",
    "    pop1_res_0p1vmp_1laser[i] = rho_res_0p1vmp_1laser.states[i].full()[0][0].real\n",
    "    pop2_res_0p1vmp_1laser[i] = rho_res_0p1vmp_1laser.states[i].full()[1][1].real\n",
    "    rho12_real_res_0p1vmp_1laser[i] = rho_res_0p1vmp_1laser.states[i].full()[0][1].real\n",
    "    rho21_real_res_0p1vmp_1laser[i] = rho_res_0p1vmp_1laser.states[i].full()[1][0].real\n",
    "    rho12_imag_res_0p1vmp_1laser[i] = rho_res_0p1vmp_1laser.states[i].full()[0][1].imag\n",
    "    rho21_imag_res_0p1vmp_1laser[i] = rho_res_0p1vmp_1laser.states[i].full()[1][0].imag\n",
    "    \n",
    "L_res_0p1vmp_2lasers = len(rho_res_0p1vmp_2lasers.states)\n",
    "pop1_res_0p1vmp_2lasers = np.zeros(L_res_0p1vmp_2lasers)\n",
    "pop2_res_0p1vmp_2lasers = np.zeros(L_res_0p1vmp_2lasers)\n",
    "rho12_real_res_0p1vmp_2lasers = np.zeros(L_res_0p1vmp_2lasers)\n",
    "rho21_real_res_0p1vmp_2lasers = np.zeros(L_res_0p1vmp_2lasers)\n",
    "rho12_imag_res_0p1vmp_2lasers = np.zeros(L_res_0p1vmp_2lasers)\n",
    "rho21_imag_res_0p1vmp_2lasers = np.zeros(L_res_0p1vmp_2lasers)\n",
    "\n",
    "for i in range(0,L_res_0p1vmp_2lasers):   \n",
    "    pop1_res_0p1vmp_2lasers[i] = rho_res_0p1vmp_2lasers.states[i].full()[0][0].real\n",
    "    pop2_res_0p1vmp_2lasers[i] = rho_res_0p1vmp_2lasers.states[i].full()[1][1].real\n",
    "    rho12_real_res_0p1vmp_2lasers[i] = rho_res_0p1vmp_2lasers.states[i].full()[0][1].real\n",
    "    rho21_real_res_0p1vmp_2lasers[i] = rho_res_0p1vmp_2lasers.states[i].full()[1][0].real\n",
    "    rho12_imag_res_0p1vmp_2lasers[i] = rho_res_0p1vmp_2lasers.states[i].full()[0][1].imag\n",
    "    rho21_imag_res_0p1vmp_2lasers[i] = rho_res_0p1vmp_2lasers.states[i].full()[1][0].imag\n",
    "    \n",
    "#Detuning 1 kHz\n",
    "L_1kHz_0p1vmp_1laser = len(rho_1kHz_0p1vmp_1laser.states)\n",
    "pop1_1kHz_0p1vmp_1laser = np.zeros(L_1kHz_0p1vmp_1laser)\n",
    "pop2_1kHz_0p1vmp_1laser = np.zeros(L_1kHz_0p1vmp_1laser)\n",
    "rho12_real_1kHz_0p1vmp_1laser = np.zeros(L_1kHz_0p1vmp_1laser)\n",
    "rho21_real_1kHz_0p1vmp_1laser = np.zeros(L_1kHz_0p1vmp_1laser)\n",
    "rho12_imag_1kHz_0p1vmp_1laser = np.zeros(L_1kHz_0p1vmp_1laser)\n",
    "rho21_imag_1kHz_0p1vmp_1laser = np.zeros(L_1kHz_0p1vmp_1laser)\n",
    "\n",
    "for i in range(0,L_1kHz_0p1vmp_1laser):   \n",
    "    pop1_1kHz_0p1vmp_1laser[i] = rho_1kHz_0p1vmp_1laser.states[i].full()[0][0].real\n",
    "    pop2_1kHz_0p1vmp_1laser[i] = rho_1kHz_0p1vmp_1laser.states[i].full()[1][1].real\n",
    "    rho12_real_1kHz_0p1vmp_1laser[i] = rho_1kHz_0p1vmp_1laser.states[i].full()[0][1].real\n",
    "    rho21_real_1kHz_0p1vmp_1laser[i] = rho_1kHz_0p1vmp_1laser.states[i].full()[1][0].real\n",
    "    rho12_imag_1kHz_0p1vmp_1laser[i] = rho_1kHz_0p1vmp_1laser.states[i].full()[0][1].imag\n",
    "    rho21_imag_1kHz_0p1vmp_1laser[i] = rho_1kHz_0p1vmp_1laser.states[i].full()[1][0].imag\n",
    "    \n",
    "L_1kHz_0p1vmp_2lasers = len(rho_1kHz_0p1vmp_2lasers.states)\n",
    "pop1_1kHz_0p1vmp_2lasers = np.zeros(L_1kHz_0p1vmp_2lasers)\n",
    "pop2_1kHz_0p1vmp_2lasers = np.zeros(L_1kHz_0p1vmp_2lasers)\n",
    "rho12_real_1kHz_0p1vmp_2lasers = np.zeros(L_1kHz_0p1vmp_2lasers)\n",
    "rho21_real_1kHz_0p1vmp_2lasers = np.zeros(L_1kHz_0p1vmp_2lasers)\n",
    "rho12_imag_1kHz_0p1vmp_2lasers = np.zeros(L_1kHz_0p1vmp_2lasers)\n",
    "rho21_imag_1kHz_0p1vmp_2lasers = np.zeros(L_1kHz_0p1vmp_2lasers)\n",
    "\n",
    "for i in range(0,L_1kHz_0p1vmp_2lasers):   \n",
    "    pop1_1kHz_0p1vmp_2lasers[i] = rho_1kHz_0p1vmp_2lasers.states[i].full()[0][0].real\n",
    "    pop2_1kHz_0p1vmp_2lasers[i] = rho_1kHz_0p1vmp_2lasers.states[i].full()[1][1].real\n",
    "    rho12_real_1kHz_0p1vmp_2lasers[i] = rho_1kHz_0p1vmp_2lasers.states[i].full()[0][1].real\n",
    "    rho21_real_1kHz_0p1vmp_2lasers[i] = rho_1kHz_0p1vmp_2lasers.states[i].full()[1][0].real\n",
    "    rho12_imag_1kHz_0p1vmp_2lasers[i] = rho_1kHz_0p1vmp_2lasers.states[i].full()[0][1].imag\n",
    "    rho21_imag_1kHz_0p1vmp_2lasers[i] = rho_1kHz_0p1vmp_2lasers.states[i].full()[1][0].imag\n",
    "    \n",
    "#Detuning 1 MHz\n",
    "L_1MHz_0p1vmp_1laser = len(rho_1MHz_0p1vmp_1laser.states)\n",
    "pop1_1MHz_0p1vmp_1laser = np.zeros(L_1MHz_0p1vmp_1laser)\n",
    "pop2_1MHz_0p1vmp_1laser = np.zeros(L_1MHz_0p1vmp_1laser)\n",
    "rho12_real_1MHz_0p1vmp_1laser = np.zeros(L_1MHz_0p1vmp_1laser)\n",
    "rho21_real_1MHz_0p1vmp_1laser = np.zeros(L_1MHz_0p1vmp_1laser)\n",
    "rho12_imag_1MHz_0p1vmp_1laser = np.zeros(L_1MHz_0p1vmp_1laser)\n",
    "rho21_imag_1MHz_0p1vmp_1laser = np.zeros(L_1MHz_0p1vmp_1laser)\n",
    "\n",
    "for i in range(0,L_1MHz_0p1vmp_1laser):   \n",
    "    pop1_1MHz_0p1vmp_1laser[i] = rho_1MHz_0p1vmp_1laser.states[i].full()[0][0].real\n",
    "    pop2_1MHz_0p1vmp_1laser[i] = rho_1MHz_0p1vmp_1laser.states[i].full()[1][1].real\n",
    "    rho12_real_1MHz_0p1vmp_1laser[i] = rho_1MHz_0p1vmp_1laser.states[i].full()[0][1].real\n",
    "    rho21_real_1MHz_0p1vmp_1laser[i] = rho_1MHz_0p1vmp_1laser.states[i].full()[1][0].real\n",
    "    rho12_imag_1MHz_0p1vmp_1laser[i] = rho_1MHz_0p1vmp_1laser.states[i].full()[0][1].imag\n",
    "    rho21_imag_1MHz_0p1vmp_1laser[i] = rho_1MHz_0p1vmp_1laser.states[i].full()[1][0].imag\n",
    "    \n",
    "L_1MHz_0p1vmp_2lasers = len(rho_1MHz_0p1vmp_2lasers.states)\n",
    "pop1_1MHz_0p1vmp_2lasers = np.zeros(L_1MHz_0p1vmp_2lasers)\n",
    "pop2_1MHz_0p1vmp_2lasers = np.zeros(L_1MHz_0p1vmp_2lasers)\n",
    "rho12_real_1MHz_0p1vmp_2lasers = np.zeros(L_1MHz_0p1vmp_2lasers)\n",
    "rho21_real_1MHz_0p1vmp_2lasers = np.zeros(L_1MHz_0p1vmp_2lasers)\n",
    "rho12_imag_1MHz_0p1vmp_2lasers = np.zeros(L_1MHz_0p1vmp_2lasers)\n",
    "rho21_imag_1MHz_0p1vmp_2lasers = np.zeros(L_1MHz_0p1vmp_2lasers)\n",
    "\n",
    "for i in range(0,L_1MHz_0p1vmp_2lasers):   \n",
    "    pop1_1MHz_0p1vmp_2lasers[i] = rho_1MHz_0p1vmp_2lasers.states[i].full()[0][0].real\n",
    "    pop2_1MHz_0p1vmp_2lasers[i] = rho_1MHz_0p1vmp_2lasers.states[i].full()[1][1].real\n",
    "    rho12_real_1MHz_0p1vmp_2lasers[i] = rho_1MHz_0p1vmp_2lasers.states[i].full()[0][1].real\n",
    "    rho21_real_1MHz_0p1vmp_2lasers[i] = rho_1MHz_0p1vmp_2lasers.states[i].full()[1][0].real\n",
    "    rho12_imag_1MHz_0p1vmp_2lasers[i] = rho_1MHz_0p1vmp_2lasers.states[i].full()[0][1].imag\n",
    "    rho21_imag_1MHz_0p1vmp_2lasers[i] = rho_1MHz_0p1vmp_2lasers.states[i].full()[1][0].imag\n",
    "    \n",
    "\n",
    "    \n",
    "    \n",
    "### velocity = v_mp ###\n",
    "#Resonance\n",
    "L_res_vmp_1laser  = len(rho_res_vmp_1laser.states)\n",
    "pop1_res_vmp_1laser = np.zeros(L_res_vmp_1laser)\n",
    "pop2_res_vmp_1laser = np.zeros(L_res_vmp_1laser)\n",
    "rho12_real_res_vmp_1laser = np.zeros(L_res_vmp_1laser)\n",
    "rho21_real_res_vmp_1laser = np.zeros(L_res_vmp_1laser)\n",
    "rho12_imag_res_vmp_1laser = np.zeros(L_res_vmp_1laser)\n",
    "rho21_imag_res_vmp_1laser = np.zeros(L_res_vmp_1laser)\n",
    "\n",
    "for i in range(0,L_res_vmp_1laser):   \n",
    "    pop1_res_vmp_1laser[i] = rho_res_vmp_1laser.states[i].full()[0][0].real\n",
    "    pop2_res_vmp_1laser[i] = rho_res_vmp_1laser.states[i].full()[1][1].real\n",
    "    rho12_real_res_vmp_1laser[i] = rho_res_vmp_1laser.states[i].full()[0][1].real\n",
    "    rho21_real_res_vmp_1laser[i] = rho_res_vmp_1laser.states[i].full()[1][0].real\n",
    "    rho12_imag_res_vmp_1laser[i] = rho_res_vmp_1laser.states[i].full()[0][1].imag\n",
    "    rho21_imag_res_vmp_1laser[i] = rho_res_vmp_1laser.states[i].full()[1][0].imag\n",
    "    \n",
    "L_res_vmp_2lasers  = len(rho_res_vmp_2lasers.states)\n",
    "pop1_res_vmp_2lasers = np.zeros(L_res_vmp_2lasers)\n",
    "pop2_res_vmp_2lasers = np.zeros(L_res_vmp_2lasers)\n",
    "rho12_real_res_vmp_2lasers = np.zeros(L_res_vmp_2lasers)\n",
    "rho21_real_res_vmp_2lasers = np.zeros(L_res_vmp_2lasers)\n",
    "rho12_imag_res_vmp_2lasers = np.zeros(L_res_vmp_2lasers)\n",
    "rho21_imag_res_vmp_2lasers = np.zeros(L_res_vmp_2lasers)\n",
    "\n",
    "for i in range(0,L_res_vmp_2lasers):   \n",
    "    pop1_res_vmp_2lasers[i] = rho_res_vmp_2lasers.states[i].full()[0][0].real\n",
    "    pop2_res_vmp_2lasers[i] = rho_res_vmp_2lasers.states[i].full()[1][1].real\n",
    "    rho12_real_res_vmp_2lasers[i] = rho_res_vmp_2lasers.states[i].full()[0][1].real\n",
    "    rho21_real_res_vmp_2lasers[i] = rho_res_vmp_2lasers.states[i].full()[1][0].real\n",
    "    rho12_imag_res_vmp_2lasers[i] = rho_res_vmp_2lasers.states[i].full()[0][1].imag\n",
    "    rho21_imag_res_vmp_2lasers[i] = rho_res_vmp_2lasers.states[i].full()[1][0].imag\n",
    "    \n",
    "#Detuning 1 kHz\n",
    "L_1kHz_vmp_1laser = len(rho_1kHz_vmp_1laser.states)\n",
    "pop1_1kHz_vmp_1laser = np.zeros(L_1kHz_vmp_1laser)\n",
    "pop2_1kHz_vmp_1laser = np.zeros(L_1kHz_vmp_1laser)\n",
    "rho12_real_1kHz_vmp_1laser = np.zeros(L_1kHz_vmp_1laser)\n",
    "rho21_real_1kHz_vmp_1laser = np.zeros(L_1kHz_vmp_1laser)\n",
    "rho12_imag_1kHz_vmp_1laser = np.zeros(L_1kHz_vmp_1laser)\n",
    "rho21_imag_1kHz_vmp_1laser = np.zeros(L_1kHz_vmp_1laser)\n",
    "\n",
    "for i in range(0,L_1kHz_vmp_1laser):   \n",
    "    pop1_1kHz_vmp_1laser[i] = rho_1kHz_vmp_1laser.states[i].full()[0][0].real\n",
    "    pop2_1kHz_vmp_1laser[i] = rho_1kHz_vmp_1laser.states[i].full()[1][1].real\n",
    "    rho12_real_1kHz_vmp_1laser[i] = rho_1kHz_vmp_1laser.states[i].full()[0][1].real\n",
    "    rho21_real_1kHz_vmp_1laser[i] = rho_1kHz_vmp_1laser.states[i].full()[1][0].real\n",
    "    rho12_imag_1kHz_vmp_1laser[i] = rho_1kHz_vmp_1laser.states[i].full()[0][1].imag\n",
    "    rho21_imag_1kHz_vmp_1laser[i] = rho_1kHz_vmp_1laser.states[i].full()[1][0].imag\n",
    "    \n",
    "L_1kHz_vmp_2lasers = len(rho_1kHz_vmp_2lasers.states)\n",
    "pop1_1kHz_vmp_2lasers = np.zeros(L_1kHz_vmp_2lasers)\n",
    "pop2_1kHz_vmp_2lasers = np.zeros(L_1kHz_vmp_2lasers)\n",
    "rho12_real_1kHz_vmp_2lasers = np.zeros(L_1kHz_vmp_2lasers)\n",
    "rho21_real_1kHz_vmp_2lasers = np.zeros(L_1kHz_vmp_2lasers)\n",
    "rho12_imag_1kHz_vmp_2lasers = np.zeros(L_1kHz_vmp_2lasers)\n",
    "rho21_imag_1kHz_vmp_2lasers = np.zeros(L_1kHz_vmp_2lasers)\n",
    "\n",
    "for i in range(0,L_1kHz_vmp_2lasers):   \n",
    "    pop1_1kHz_vmp_2lasers[i] = rho_1kHz_vmp_2lasers.states[i].full()[0][0].real\n",
    "    pop2_1kHz_vmp_2lasers[i] = rho_1kHz_vmp_2lasers.states[i].full()[1][1].real\n",
    "    rho12_real_1kHz_vmp_2lasers[i] = rho_1kHz_vmp_2lasers.states[i].full()[0][1].real\n",
    "    rho21_real_1kHz_vmp_2lasers[i] = rho_1kHz_vmp_2lasers.states[i].full()[1][0].real\n",
    "    rho12_imag_1kHz_vmp_2lasers[i] = rho_1kHz_vmp_2lasers.states[i].full()[0][1].imag\n",
    "    rho21_imag_1kHz_vmp_2lasers[i] = rho_1kHz_vmp_2lasers.states[i].full()[1][0].imag\n",
    "    \n",
    "#Detuning 1 MHz\n",
    "L_1MHz_vmp_1laser = len(rho_1MHz_vmp_1laser.states)\n",
    "pop1_1MHz_vmp_1laser = np.zeros(L_1MHz_vmp_1laser)\n",
    "pop2_1MHz_vmp_1laser = np.zeros(L_1MHz_vmp_1laser)\n",
    "rho12_real_1MHz_vmp_1laser = np.zeros(L_1MHz_vmp_1laser)\n",
    "rho21_real_1MHz_vmp_1laser = np.zeros(L_1MHz_vmp_1laser)\n",
    "rho12_imag_1MHz_vmp_1laser = np.zeros(L_1MHz_vmp_1laser)\n",
    "rho21_imag_1MHz_vmp_1laser = np.zeros(L_1MHz_vmp_1laser)\n",
    "\n",
    "for i in range(0,L_1MHz_vmp_1laser):   \n",
    "    pop1_1MHz_vmp_1laser[i] = rho_1MHz_vmp_1laser.states[i].full()[0][0].real\n",
    "    pop2_1MHz_vmp_1laser[i] = rho_1MHz_vmp_1laser.states[i].full()[1][1].real\n",
    "    rho12_real_1MHz_vmp_1laser[i] = rho_1MHz_vmp_1laser.states[i].full()[0][1].real\n",
    "    rho21_real_1MHz_vmp_1laser[i] = rho_1MHz_vmp_1laser.states[i].full()[1][0].real\n",
    "    rho12_imag_1MHz_vmp_1laser[i] = rho_1MHz_vmp_1laser.states[i].full()[0][1].imag\n",
    "    rho21_imag_1MHz_vmp_1laser[i] = rho_1MHz_vmp_1laser.states[i].full()[1][0].imag\n",
    "    \n",
    "L_1MHz_vmp_2lasers = len(rho_1MHz_vmp_2lasers.states)\n",
    "pop1_1MHz_vmp_2lasers = np.zeros(L_1MHz_vmp_2lasers)\n",
    "pop2_1MHz_vmp_2lasers = np.zeros(L_1MHz_vmp_2lasers)\n",
    "rho12_real_1MHz_vmp_2lasers = np.zeros(L_1MHz_vmp_2lasers)\n",
    "rho21_real_1MHz_vmp_2lasers = np.zeros(L_1MHz_vmp_2lasers)\n",
    "rho12_imag_1MHz_vmp_2lasers = np.zeros(L_1MHz_vmp_2lasers)\n",
    "rho21_imag_1MHz_vmp_2lasers = np.zeros(L_1MHz_vmp_2lasers)\n",
    "\n",
    "for i in range(0,L_1MHz_vmp_2lasers):   \n",
    "    pop1_1MHz_vmp_2lasers[i] = rho_1MHz_vmp_2lasers.states[i].full()[0][0].real\n",
    "    pop2_1MHz_vmp_2lasers[i] = rho_1MHz_vmp_2lasers.states[i].full()[1][1].real\n",
    "    rho12_real_1MHz_vmp_2lasers[i] = rho_1MHz_vmp_2lasers.states[i].full()[0][1].real\n",
    "    rho21_real_1MHz_vmp_2lasers[i] = rho_1MHz_vmp_2lasers.states[i].full()[1][0].real\n",
    "    rho12_imag_1MHz_vmp_2lasers[i] = rho_1MHz_vmp_2lasers.states[i].full()[0][1].imag\n",
    "    rho21_imag_1MHz_vmp_2lasers[i] = rho_1MHz_vmp_2lasers.states[i].full()[1][0].imag\n",
    "    \n",
    "    \n",
    "    \n",
    "    \n",
    "### velocity = 2*v_mp ###\n",
    "#Resonance\n",
    "L_res_2vmp_1laser = len(rho_res_2vmp_1laser.states)\n",
    "pop1_res_2vmp_1laser = np.zeros(L_res_2vmp_1laser)\n",
    "pop2_res_2vmp_1laser = np.zeros(L_res_2vmp_1laser)\n",
    "rho12_real_res_2vmp_1laser = np.zeros(L_res_2vmp_1laser)\n",
    "rho21_real_res_2vmp_1laser = np.zeros(L_res_2vmp_1laser)\n",
    "rho12_imag_res_2vmp_1laser = np.zeros(L_res_2vmp_1laser)\n",
    "rho21_imag_res_2vmp_1laser = np.zeros(L_res_2vmp_1laser)\n",
    "\n",
    "for i in range(0,L_res_2vmp_1laser):   \n",
    "    pop1_res_2vmp_1laser[i] = rho_res_2vmp_1laser.states[i].full()[0][0].real\n",
    "    pop2_res_2vmp_1laser[i] = rho_res_2vmp_1laser.states[i].full()[1][1].real\n",
    "    rho12_real_res_2vmp_1laser[i] = rho_res_2vmp_1laser.states[i].full()[0][1].real\n",
    "    rho21_real_res_2vmp_1laser[i] = rho_res_2vmp_1laser.states[i].full()[1][0].real\n",
    "    rho12_imag_res_2vmp_1laser[i] = rho_res_2vmp_1laser.states[i].full()[0][1].imag\n",
    "    rho21_imag_res_2vmp_1laser[i] = rho_res_2vmp_1laser.states[i].full()[1][0].imag\n",
    "    \n",
    "L_res_2vmp_2lasers = len(rho_res_2vmp_2lasers.states)\n",
    "pop1_res_2vmp_2lasers = np.zeros(L_res_2vmp_2lasers)\n",
    "pop2_res_2vmp_2lasers = np.zeros(L_res_2vmp_2lasers)\n",
    "rho12_real_res_2vmp_2lasers = np.zeros(L_res_2vmp_2lasers)\n",
    "rho21_real_res_2vmp_2lasers = np.zeros(L_res_2vmp_2lasers)\n",
    "rho12_imag_res_2vmp_2lasers = np.zeros(L_res_2vmp_2lasers)\n",
    "rho21_imag_res_2vmp_2lasers = np.zeros(L_res_2vmp_2lasers)\n",
    "\n",
    "for i in range(0,L_res_2vmp_2lasers):   \n",
    "    pop1_res_2vmp_2lasers[i] = rho_res_2vmp_2lasers.states[i].full()[0][0].real\n",
    "    pop2_res_2vmp_2lasers[i] = rho_res_2vmp_2lasers.states[i].full()[1][1].real\n",
    "    rho12_real_res_2vmp_2lasers[i] = rho_res_2vmp_2lasers.states[i].full()[0][1].real\n",
    "    rho21_real_res_2vmp_2lasers[i] = rho_res_2vmp_2lasers.states[i].full()[1][0].real\n",
    "    rho12_imag_res_2vmp_2lasers[i] = rho_res_2vmp_2lasers.states[i].full()[0][1].imag\n",
    "    rho21_imag_res_2vmp_2lasers[i] = rho_res_2vmp_2lasers.states[i].full()[1][0].imag\n",
    "    \n",
    "#Detuning 1 kHz\n",
    "L_1kHz_2vmp_1laser = len(rho_1kHz_2vmp_1laser.states)\n",
    "pop1_1kHz_2vmp_1laser = np.zeros(L_1kHz_2vmp_1laser)\n",
    "pop2_1kHz_2vmp_1laser = np.zeros(L_1kHz_2vmp_1laser)\n",
    "rho12_real_1kHz_2vmp_1laser = np.zeros(L_1kHz_2vmp_1laser)\n",
    "rho21_real_1kHz_2vmp_1laser = np.zeros(L_1kHz_2vmp_1laser)\n",
    "rho12_imag_1kHz_2vmp_1laser = np.zeros(L_1kHz_2vmp_1laser)\n",
    "rho21_imag_1kHz_2vmp_1laser = np.zeros(L_1kHz_2vmp_1laser)\n",
    "\n",
    "for i in range(0,L_1kHz_2vmp_1laser):   \n",
    "    pop1_1kHz_2vmp_1laser[i] = rho_1kHz_2vmp_1laser.states[i].full()[0][0].real\n",
    "    pop2_1kHz_2vmp_1laser[i] = rho_1kHz_2vmp_1laser.states[i].full()[1][1].real\n",
    "    rho12_real_1kHz_2vmp_1laser[i] = rho_1kHz_2vmp_1laser.states[i].full()[0][1].real\n",
    "    rho21_real_1kHz_2vmp_1laser[i] = rho_1kHz_2vmp_1laser.states[i].full()[1][0].real\n",
    "    rho12_imag_1kHz_2vmp_1laser[i] = rho_1kHz_2vmp_1laser.states[i].full()[0][1].imag\n",
    "    rho21_imag_1kHz_2vmp_1laser[i] = rho_1kHz_2vmp_1laser.states[i].full()[1][0].imag\n",
    "    \n",
    "L_1kHz_2vmp_2lasers = len(rho_1kHz_2vmp_2lasers.states)\n",
    "pop1_1kHz_2vmp_2lasers = np.zeros(L_1kHz_2vmp_2lasers)\n",
    "pop2_1kHz_2vmp_2lasers = np.zeros(L_1kHz_2vmp_2lasers)\n",
    "rho12_real_1kHz_2vmp_2lasers = np.zeros(L_1kHz_2vmp_2lasers)\n",
    "rho21_real_1kHz_2vmp_2lasers = np.zeros(L_1kHz_2vmp_2lasers)\n",
    "rho12_imag_1kHz_2vmp_2lasers = np.zeros(L_1kHz_2vmp_2lasers)\n",
    "rho21_imag_1kHz_2vmp_2lasers = np.zeros(L_1kHz_2vmp_2lasers)\n",
    "\n",
    "for i in range(0,L_1kHz_2vmp_2lasers):   \n",
    "    pop1_1kHz_2vmp_2lasers[i] = rho_1kHz_2vmp_2lasers.states[i].full()[0][0].real\n",
    "    pop2_1kHz_2vmp_2lasers[i] = rho_1kHz_2vmp_2lasers.states[i].full()[1][1].real\n",
    "    rho12_real_1kHz_2vmp_2lasers[i] = rho_1kHz_2vmp_2lasers.states[i].full()[0][1].real\n",
    "    rho21_real_1kHz_2vmp_2lasers[i] = rho_1kHz_2vmp_2lasers.states[i].full()[1][0].real\n",
    "    rho12_imag_1kHz_2vmp_2lasers[i] = rho_1kHz_2vmp_2lasers.states[i].full()[0][1].imag\n",
    "    rho21_imag_1kHz_2vmp_2lasers[i] = rho_1kHz_2vmp_2lasers.states[i].full()[1][0].imag\n",
    "    \n",
    "#Detuning 1 MHz\n",
    "L_1MHz_2vmp_1laser = len(rho_1MHz_2vmp_1laser.states)\n",
    "pop1_1MHz_2vmp_1laser = np.zeros(L_1MHz_2vmp_1laser)\n",
    "pop2_1MHz_2vmp_1laser = np.zeros(L_1MHz_2vmp_1laser)\n",
    "rho12_real_1MHz_2vmp_1laser = np.zeros(L_1MHz_2vmp_1laser)\n",
    "rho21_real_1MHz_2vmp_1laser = np.zeros(L_1MHz_2vmp_1laser)\n",
    "rho12_imag_1MHz_2vmp_1laser = np.zeros(L_1MHz_2vmp_1laser)\n",
    "rho21_imag_1MHz_2vmp_1laser = np.zeros(L_1MHz_2vmp_1laser)\n",
    "\n",
    "for i in range(0,L_1MHz_2vmp_1laser):   \n",
    "    pop1_1MHz_2vmp_1laser[i] = rho_1MHz_2vmp_1laser.states[i].full()[0][0].real\n",
    "    pop2_1MHz_2vmp_1laser[i] = rho_1MHz_2vmp_1laser.states[i].full()[1][1].real\n",
    "    rho12_real_1MHz_2vmp_1laser[i] = rho_1MHz_2vmp_1laser.states[i].full()[0][1].real\n",
    "    rho21_real_1MHz_2vmp_1laser[i] = rho_1MHz_2vmp_1laser.states[i].full()[1][0].real\n",
    "    rho12_imag_1MHz_2vmp_1laser[i] = rho_1MHz_2vmp_1laser.states[i].full()[0][1].imag\n",
    "    rho21_imag_1MHz_2vmp_1laser[i] = rho_1MHz_2vmp_1laser.states[i].full()[1][0].imag\n",
    "    \n",
    "L_1MHz_2vmp_2lasers = len(rho_1MHz_2vmp_2lasers.states)\n",
    "pop1_1MHz_2vmp_2lasers = np.zeros(L_1MHz_2vmp_2lasers)\n",
    "pop2_1MHz_2vmp_2lasers = np.zeros(L_1MHz_2vmp_2lasers)\n",
    "rho12_real_1MHz_2vmp_2lasers = np.zeros(L_1MHz_2vmp_2lasers)\n",
    "rho21_real_1MHz_2vmp_2lasers = np.zeros(L_1MHz_2vmp_2lasers)\n",
    "rho12_imag_1MHz_2vmp_2lasers = np.zeros(L_1MHz_2vmp_2lasers)\n",
    "rho21_imag_1MHz_2vmp_2lasers = np.zeros(L_1MHz_2vmp_2lasers)\n",
    "\n",
    "for i in range(0,L_1MHz_2vmp_2lasers):   \n",
    "    pop1_1MHz_2vmp_2lasers[i] = rho_1MHz_2vmp_2lasers.states[i].full()[0][0].real\n",
    "    pop2_1MHz_2vmp_2lasers[i] = rho_1MHz_2vmp_2lasers.states[i].full()[1][1].real\n",
    "    rho12_real_1MHz_2vmp_2lasers[i] = rho_1MHz_2vmp_2lasers.states[i].full()[0][1].real\n",
    "    rho21_real_1MHz_2vmp_2lasers[i] = rho_1MHz_2vmp_2lasers.states[i].full()[1][0].real\n",
    "    rho12_imag_1MHz_2vmp_2lasers[i] = rho_1MHz_2vmp_2lasers.states[i].full()[0][1].imag\n",
    "    rho21_imag_1MHz_2vmp_2lasers[i] = rho_1MHz_2vmp_2lasers.states[i].full()[1][0].imag"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "7e872e24",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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QQVJSEkQiUaGvnTt3luj6GKtM8kfYbt4ENm4E7O2Bf/4BpkwRnmcLDuaFcxlj7E0iooq3CUxkZCS8vb1haGiIIUOGwMLCAmFhYUhMTMSSJUswd+7cYvu4e/cuOnTogJSUFHh6esLNzQ0JCQk4cOAAbG1tce7cOTg6OiraExF8fX2xd+9eODo6olevXsjJycH+/fuRkpKCVatWYerUqUrnCAsLw+DBg6Gnp4ePP/4YderUwdmzZ3HhwgV07NgRf/75JyQSiaJ9UlISGjZsCDc3N/Tv318lZh8fHzRv3lzjn1N6ejosLCwglUphbm6u8XGMVQQ5OcCGDcIza48fC2XvvgssXQr06yfsisAYY1VRib6/qYKRyWTk6OhIEomErly5oihPT08nFxcX0tfXp/j4+GL76dOnDwGglStXKpXv3r2bAJC3t7dSeWhoKAGgjh07UmZmpqI8NTWVHBwcSCKRUGJioqI8MzOTbGxsyMDAgC5duqQol8vlNGXKFAJAQUFBSudITEwkADR69GhNfhTFkkqlBICkUmmp9MeYLmRkEC1bRlSzJpGweyhRx45E587pOjLGGCsbJfn+rnC3PsPDw3H37l0MGzYM7u7uinIzMzMsWLAAubm5CA4OLrKP7OxsHD16FLVr18a0adOU6nx9fdGyZUscPXoU9+7dU5Tv27cPADB37lwYGxsrym1sbDBjxgzk5OQonffs2bNIS0tD//798d577ynKRSIRAgMDAQBr164FVbwBS8YqFBMT4MsvgXv3gHnzhHXZzp4FOnQAfHyA+HhdR8gYY7pT4RK1yMhIAICXl5dKXX7ZyZMni+zj6dOnyM3NhYODA0Rq7p80bNgQABAREaEoe/LkiVKduvbh4eEatbe0tISVlRXu37+vlAzm+/vvv/HLL78gKCgImzZtQnJycpHXw1h1YG4u3AZNSADGjRMmIezdC7i4CM+x/fsrxxhj1UqFS9QSEhIAAE2aNFGps7Kygo2NjaJNYaysrKCnp4f79++rHdFKTEwEAMQX+Ke6ra2tUt3btJdKpXj+78qe8WqGA44fP45PP/0Uc+fOxZgxY9CwYUN88cUXkMvlRV5XTk4O0tPTlV6MVTXvvCM8uxYTA3z4oTDBYM0aYeP3xYt5H1HGWPVS4RI1qVQKALCwsFBbb25urmhTGBMTE3h4eODJkydYs2aNUl1YWBiio6MBAC8K7GvTq1cvAMDSpUuRnZ2tKH/69ClWrFih0r5Dhw4wNzfHvn37cPXqVaVzLFiwQPG+4DEmJibw9/dHdHQ00tPTkZKSggMHDqBJkyZYvnw55s2bV+R1BQUFwcLCQvGys7Mrsj1jlZmLC3DwIBARAbRpA7x6Jexy8O67wNatQDH/rmGMsSqhws369PLywvHjx5GQkIDGjRur1Ds6OiI5ORk5OTlF9nPt2jV06tQJr169gre3N1xdXXHnzh3s378fzZs3R0xMDCZPnqxI5HJzc+Hl5YWIiAg0btwYPXv2hEwmw759+1C7dm3ExMTA2NgYmZmZinNs3LgR48ePh0QigY+PD+rUqYNz587h8uXLaNSoEW7fvo1du3Zh0KBBRcb6+PFjNG/eHC9fvsTjx49hZWWltl1OTo7Sdaenp8POzo5nfbIqjwgIDRX2D80fxH7/fWDlSqBtW93GxhhjJVWSWZ8VbkQtfyStsFGz/IsrjpubG6KiojBo0CBcuXIFK1euRFxcHNatW4eRI0cC+O/2JQDo6+vjyJEjCAgIgFgsxvr16xEWFoZ+/fphz549Ku0BYNy4cTh8+DDat2+P/fv3Y82aNdDX18eff/6pSDLfPEadOnXqoHfv3nj9+jWioqIKbSeRSGBubq70Yqw6EImAQYOENdiCggBTU+D8eaBdO2G7qkePdB0hY4yVjQqXqOU/m6buObTnz58jLS1N7fNr6jg5OWHXrl1ISUlBTk4Obty4gfHjxyM2NhYA0Lp1a6X2EokE/v7+iIuLQ05ODlJSUrBu3To8+vdb4M32gHDLNCIiAi9fvkRmZiZOnTqFTp06ITY2FmKxGK1atdIoVhsbGwBQGrFjjCkzMhJG1eLjgTFjhLItW4QFcwMDeUsqxljVU+ESNQ8PDwDAsWPHVOryy/LbaOPly5c4ePAgrK2t4enpqdEx27ZtAwAMGTJEo/Znz55FUlISevbsqdHoHwBcvHgRANCgQQON2jNWndWtK+xkEBUlLOORmSnsIersDOzeLdwqZYyxKqGM13QrMZlMRo0aNSKJREJXr15VlBdc8DYuLk5RnpqaSrdu3aLU1FSlfjIzM0kmkymVZWdnk6+vr9qFcIlI7cJzoaGhJBaLqU2bNpSbm1ts+0ePHpGTkxPp6+vT5cuXleouXLhAr1+/Vjnmhx9+IADUrFkzksvlKvWF4QVvGSOSy4l27CCqX/+/BXO7dSO6cUPXkTHGmHol+f6ucJMJAGF9M29vb0gkEgwdOhTm5uaKLaQCAwOVZkcGBARg0aJF8Pf3R0BAgKL8zJkzGDhwIDw9PWFnZ4f09HQcOnQIDx48gJ+fH9atW6eyxpqzszPs7Ozg7OwMIyMjXLx4EZGRkWjUqBHCw8Ph4OCg1D4wMBBbt25Fp06dUKtWLTx8+BD79+9HZmYmNm7ciNGjRyu179q1K27fvg0PDw/Y2dkhKysLf/31F65evQorKyucOHFC41ulAG8hxVhBmZnAsmXCFlTZ2YC+PjBzpjDSZmqq6+gYY+w/lXoLqXwXLlygnj17koWFBRkbG1Pr1q1p69atKu38/f0JAPn7+yuV379/n3x9fcnOzo4MDQ3J0tKSunfvTnv27Cn0nP7+/tSiRQsyMzMjIyMjcnZ2pvnz5xea8f7555/Uo0cPqlWrFhkYGFCdOnVo8ODBSltfFfTrr79Sz549qX79+mRkZERGRkb07rvv0vTp0+nhw4ea/3D+xSNqjKlKTCTq2/e/0bX69YlCQ4WRN8YYqwgq/Yga0wyPqDFWuP/7P+Czz/5bzsPLC1i1Sph4wBhjulSpl+dgjLHS8OGHwI0bgL8/IJEAx44BLVoA8+cLt0kZY6wy4ESNMVZlGRsDAQFAbCzQqxfw+jWwZAnQrJkw4sYYYxUdJ2qMsSqvcWPg0CHg998Be3vg/n3go4+AwYOBx491HR1jjBWOEzXGWLUgEgH9+wu7G8yaBejpCWuuOTsDv/7Ke4cyxiomTtQYY9VKjRrAd98Ji+W+9x7w4gUwYQLQtStw+7auo2OMMWWcqDHGqiV3d2G/0B9/FJK306cBNzdg0SIgJ0fX0THGmIATNcZYtaWvD3z+uTA7NH+yQUCAkMSdOaPr6BhjjBM1xhiDg4Mw2WDnTqBWLeDWLaBzZ2DqVODVK11Hxxirzt5qwdv79+8jOTkZaWlpMDExga2tLZycnGBkZFSaMbJC8IK3jJW+Z8+A2bOBjRuFzw0aCO+7d9dpWIyxKqQk398lTtTCw8MRHByMiIgI/PPPPyr1BgYGaN26NQYMGIAxY8agZs2aJYueaYwTNcbKzokTwPjxwlIeADBxojAJgX/VGGNvq0wStV27dmHhwoW4c+cOiAj29vZ47733ULt2bVhbWyMrKwvPnj1DXFwcrl69ipycHEgkEowYMQJff/016tatWyoXx/7DiRpjZevlS+Crr4BffhE+29sLS3l4eek2LsZY5Vbqidr777+Pixcv4r333sOIESMwaNCgIhOv3NxcnDx5Elu3bkVYWBjkcjk2b96MAQMGlPxqWKE4UWOsfEREAOPG/bdv6PjxwPffAxYWuo2LMVY5lfpen8bGxggPD0dUVBSmT59e7OiYvr4+PvjgAwQHB+PBgweYOXMmHj58qPkVMMZYBdKtGxATA0ybJnzesAFo3hw4ckS3cTHGqr63mkzAdItH1Bgrf6dOAZ98Aty9K3wePx5YvhwwM9NtXIyxyqPUR9QYY4wJunQRRtc+/1zYlmrDBqBlS+DsWV1HxhirirRK1L7++mt8//33yCli+e6TJ0/i66+/1jowxhirqExMhB0NwsOFCQb37gkJ3Jw5wqK5jDFWWrS69SkWiyESidCmTRvs27cPderUUWmzaNEifP3118jLyyuVQJkqvvXJmO5JpcD06cCmTcJnNzdg61bhGTbGGFOnXG59Ojs749KlS2jXrh2uXbumbTeMMVapWVgAISHA3r1AzZrAtWvCZu8//ADI5bqOjjFW2WmdqA0aNAj79u3Ds2fP0KlTJ+zbt68Uw2KMscpl4EAgNhbo00e4/fnll8JuBvkL5jLGmDbeajLBhx9+iLNnz8La2ho+Pj5YunRpacXFGGOVTp06wMGDwPr1QI0awMmTQIsWwq1QxhjTxlvP+nR1dUVUVBTatGmDefPmYfTo0ZDJZKURG2OMVToiEeDnJ9wC7dBB2N1g5EhgxAggPV3X0THGKptSWZ6jVq1aiIyMxODBg7FlyxZ0794dT548KY2uGWOsUnJ0FNZc+/prQE8P2LZNWMbj/HldR8YYq0xKbR01iUSC7du3IyAgAOfOncO6detKq2vGGKuU9PSABQuEhM3BQdiCqlMn4JtvAJ4QzxjThFaJmoeHBxo0aKC2buHChdi5cyckEsnbxMUYY1VGhw5AdDQwZIiQoM2bB/ToASQn6zoyxlhFx1tIVWK8jhpjlQuRsN7a1KlARgZgbQ1s3Aj076/ryBhj5Ym3kGKMsQpIJALGjAGuXhXWWnv2DBgwAJg0CcjM1HV0jLGKSOMRtVOnTml1gi5dumh1HCsej6gxVnm9fg3Mnw8sWyZ8bt4cCA0FnJx0GxdjrOyV5Ptb40Qtf9uokuItpMoOJ2qMVX4nTghLdzx5Iqy9tnat8JkxVnWV5PtbX9NOJ0yYoJKoXbp0CVeuXMGECRO0i5Qxxqq5Hj2EiQbDhwubvI8cCURGAj/9JGz+zhir3t5qMgFvvK5bPKLGWNWRlwcEBgKLFgmTDvhWKGNVF08mYIyxSkZPD/D3B44fB2rXFvYNbd1aWCiXMVZ9VdhELSoqCr1794aVlRVq1KiBtm3bYvv27SXqIzk5GRMnToS9vT0MDQ1Rr149jB07Fg8fPlTbXi6XY/Xq1WjVqhVMTExgbm4ODw8PHDhwoNBzXLhwAf369YONjQ0kEgmaNm2KhQsXIisrq9Bjtm/fjrZt26JGjRqwsrJC7969cenSpRJdG2OsavrgA+FWaLduwhIeI0YAEyYARfyVwhiryugtBAQEkFgsfpsu1IqIiCBDQ0MyNTWl8ePH0xdffEENGzYkALRkyRKN+rhz5w7VqlWLAJCnpyd9+eWX1K9fPxKJRFSrVi26c+eOUnu5XE4ff/wxASBHR0eaOnUq+fn5KfpYtWqVyjn27t1L+vr6JJFIaNiwYTRz5kxq164dAaCOHTtSdna2yjFLliwhAGRvb08zZ86kCRMmkLm5ORkaGlJERESJfk5SqZQAkFQqLdFxjLGKLzeXyN+fSCQiAohatCC6fVvXUTHGSkNJvr8rXKImk8nI0dGRJBIJXblyRVGenp5OLi4upK+vT/Hx8cX206dPHwJAK1euVCrfvXs3ASBvb2+l8tDQUEWClZmZqShPTU0lBwcHkkgklJiYqCjPzMwkGxsbMjAwoEuXLinK5XI5TZkyhQBQUFCQ0jni4+NJX1+fmjZtSi9evFCUx8bGkomJCTk6OpJMJiv22vJxosZY1XfiBFGtWkKyZmpKtGePriNijL2tknx/V7hbn+Hh4bh79y6GDRsGd3d3RbmZmRkWLFiA3NxcBAcHF9lHdnY2jh49itq1a2PatGlKdb6+vmjZsiWOHj2Ke/fuKcr37dsHAJg7dy6MjY0V5TY2NpgxYwZycnKUznv27FmkpaWhf//+eO+99xTlIpEIgYGBAIC1a9eCCszVCA4ORm5uLubNmwcLCwtFuYuLC0aNGoW7d+8iPDxckx8TY6yayL8V2rUr8OoV4OMDzJoF5ObqOjLGWHnQeHmO3bt3q5TFxsYCAEJDQ5USkoIGDRpUooAiIyMBAF5eXip1+WUnT54sso+nT58iNzcXDg4Oatd+a9iwIaKjoxEREYFGjRoBAJ48eaKoU9ceEJLIRYsWFdve0tISVlZWuH//Pu7duwdHR8dir83b2xtr167FyZMn1dYzxqqvunWFSQZz5woL5H7/PXDpErBzpzDxgDFWdWmcqA0ZMkQl6clPzoYMGaLSnoggEolKnKglJCQAAJo0aaJSZ2VlBRsbG0WbwlhZWUFPTw/3799XxFFQYmIiACA+Pl5RZmtrq6hzdnYuUfs3SaVSPH/+XHFMfqKWkJAAU1NT1KlTR+WY/Ost6tpycnKQk5Oj+Jyenl5oW8ZY1aKvD3z3HdC2LTB2rLDW2nvvCUt4tG+v6+gYY2VF40Rt4cKFWu1MUFJSqRQAlG4NFmRubo7k5OQi+zAxMYGHhwfCw8OxZs0aTJkyRVEXFhaG6OhoAMCLFy8U5b169cKOHTuwdOlSdO/eHUZGRgCE0bkVK1aotO/QoQPMzc2xb98+XL16Vek27YIFCxTvCx4jlUpRq1atQq+r4PWrExQUpBjRY4xVTz4+whprAwcCt24BHh7Ajz8Cn34q7CXKGKtaNE7UAgICyjCM0rd8+XJ06tQJU6dOxcGDB+Hq6oo7d+5g//79cHV1RUxMDPT09BTthw4diuDgYERERKBFixbo2bMnZDIZ9u3bh9r/3lso2N7U1BTLly/H+PHj0b59e/j4+KBOnTo4d+4cLl++DCcnJ9y+fVvpmLc1Z84czJw5U/E5PT0ddnZ2pdY/Y6xycHICLlwAxo0TRtSmTgXOnwfWrePdDBirarSaTFDUGmEFFbxVqKn8kbTCRpbyV/MtjpubG6KiojBo0CBcuXIFK1euRFxcHNatW4eRI0cC+O/2JQDo6+vjyJEjCAgIgFgsxvr16xEWFoZ+/fphz549Ku0BYNy4cTh8+DDat2+P/fv3Y82aNdDX18eff/6Jxo0bqxyTvwpxYddV8PrVkUgkMDc3V3oxxqonMzNg1y7ghx+ExXK3bhVugd65o+vIGGOlSatE7eOPPy5226j4+Hh07969xH0X9azW8+fPkZaWpvb5NXWcnJywa9cupKSkICcnBzdu3MD48eMVkyBat26t1F4ikcDf3x9xcXHIyclBSkoK1q1bh0ePHqltDwi3TCMiIvDy5UtkZmbi1KlT6NSpE2JjYyEWi9GqVSula3v16hUeP36s0k9Rz+Yxxpg6IhEwcybw559ArVpATIywm8Hhw7qOjDFWWrRK1P744w+MHTu20Po7d+6gW7duSs9nacrDwwMAcOzYMZW6/LL8Ntp4+fIlDh48CGtra3h6emp0zLZ/93BRN2lCnbNnzyIpKQk9e/ZUGiEr6tqOHj2q1IYxxjTl4QFcuQJ06ABIpcCHHwLffivsGcoYq+S0Wajtu+++I5FIRDNnzlSpu3PnDr3zzjtkYmJC4eHhJe5bJpNRo0aNSCKR0NWrVxXlBRe8jYuLU5SnpqbSrVu3KDU1VamfzMxMlcVjs7OzydfXV+1CuESkduG50NBQEovF1KZNG8rNzS22/aNHj8jJyYn09fXp8uXLSnVxcXG84C1jrMzk5BD5+QmL4wJEQ4YQZWToOirG2JvKZWeCL774gsRiMS1dulRRdvfu3bdK0vKFh4eTgYEBmZqakp+fn9IWUoGBgUpt/f39CQD5+/srlZ8+fZpsbW1p2LBh9NVXX9HkyZPJ3t6eAJCfnx/J5XKV8zo5OZGnpyd99tlnNHv2bOratSsBoEaNGlFSUpJK+8WLF9O7775L48aNozlz5tCIESPIzMyM9PT0KCQkRO21BQYGKm0hNXHiRDI3NycDA4MS/8w4UWOMvUkuJ1qzhkhfX0jW3N2J7t/XdVSMsYLKbQupkSNHklgspuDgYLp79y7Vr1+fjI2N6cSJE2/TLRERXbhwgXr27EkWFhZkbGxMrVu3pq1bt6q0KyxRu3//Pvn6+pKdnR0ZGhqSpaUlde/enfYUsf+Kv78/tWjRgszMzMjIyIicnZ1p/vz5hf4g//zzT+rRowfVqlWLDAwMqE6dOjR48GClra/U2bp1K7Vu3ZqMjY3JwsKCevbsSRcvXiz+h/IGTtQYY4U5eZLI1lZI1mxthc+MsYqhJN/fIiLtn2LIy8tD3759cfz4cdSsWRNSqRT79+/X+Nkv9nbyZ8BKpVKeAcoYU3H/PtC/v7AFlb4+8NNPwOTJuo6KMVaS7++32utTT08Pe/bsQevWrTlJY4yxCsbBATh7Fhg8WNgb9NNPgYkTgdevdR0ZY0xTGo2o5e+HWZisrCy8fPlSZdV9kUiEu3fvvl2ErFA8osYY0wSRsP3UnDnC+44dgb17eZ9QxnSl1EfU5HI5SHieTe3LyMgItra2KuVyubxULogxxpj2RCLgq6+A//s/wMJCGGVr21ZYd40xVrG91TNqTLd4RI0xVlJxcUDfvkB8PGBqCuzYIay7xhgrP+X2jBpjjLHK5d13hX1Bu3cHXr0Skrbly3lxXMYqKk7UGGOsmrGyAv74A5gwQUjQvvhCeM+TDBireMosUdu/fz++/vrrsuqeMcbYWzAwANauBX78ERCLgQ0bgJ49gWfPdB0ZY6ygMkvU9u3bh0WLFpVV94wxxt6SSAR8/jlw4IDwvFpEBPD++8Lza4yxioFvfTLGWDXXpw9w7pyw7lpCgpCshYfrOirGGADoa9pw8+bNJer4zp07JQ6GMcaYbrRoAVy4AAwYAPz1F+DtDfz8s/DsGmNMdzRenkMsFkMkEmncMRFBJBIhLy9P6+BY0Xh5DsZYacvOBsaNA7ZvFz7PmgUsXSo8x8YYKx0l+f7WeETN0NAQ9erVw8SJEzVqHxoaiqtXr2raPWOMsQrAyAjYuhVwcgIWLgSWLRP2DN20SahjjJUvjRO1Fi1a4MGDB/jqq680an/79m1O1BhjrBISiYAFC4AGDYTRtd27gb//BvbtA2rW1HV0jFUvGg9mv/fee0hLS8PDhw/LMh7GGGMVxMiRwnprFhbAmTNAhw4Ab9/MWPnSOFHr3Lkz7O3tkZCQoFH7Tp06YdSoUVoHxhhjTPe6dxf2BrW3F5btaN9e2NmAMVY+eK/PSownEzDGyss//wh7gl65Ijyrtn27MEOUMVZyvNcnY4yxUlW3LnDypLDmWnY28PHHwIoVuo6KsaqPEzXGGGMaMTUVJhRMmiTsETpjBjB9OsCrMDFWdjhRY4wxpjF9fWDNGuDbb4XPP/0E+PoKo2yMsdLHiRpjjLESEYmA2bOBXbsAQ0Pg998BLy/gxQtdR8ZY1cOJGmOMMa0MGgQcOwaYmwOnTwOdOwOPHuk6KsaqFk7UGGOMac3DQ0jS6tYFYmOFtdZu39Z1VIxVHZyoMcYYeyuursC5c0DTpsCDB0DHjrzWGmOlRatEbfPmzYiJiSmyTWxsLDZv3qxVUIwxxiqXBg2EhXHbtgWePRMWyj10SNdRMVb5aZWojRkzBvv27SuyzaFDhzB27FhtumeMMVYJ2dgA4eFAr15AVhbQrx8QHKzrqBir3Mrs1mdeXh7EYr6zyhhj1UmNGsD+/cDo0cL6ap98AgQFCeuuMcZKrswyqatXr8La2rqsumeMMVZBGRgII2lffSV8njuXF8ZlTFv6mjbs3r270ueQkBBERkaqtMvLy0NycjKSkpIwaNCgtw6QMcZY5SMSAUuXCrNBP/8cWLUKSEsDNm0SEjnGmGY03pS94G1MkUiEwg4Ti8WwtrZG9+7dsXLlStSuXbt0ImUqeFN2xlhlsHMnMHIkkJsr7BW6ezdgYqLrqBjTnTLZlF0ulyteRISAgAClsvxXbm4uUlJSsHPnTk7SGGOMYcgQ4MABwNhYmAnasycgleo6KsYqB62eUYuIiMDo0aNLOxbGGGNVVK9eyrsYdO8OpKbqOirGKj6tEjUPDw84ODiUdixKoqKi0Lt3b1hZWaFGjRpo27Yttm/fXqI+kpOTMXHiRNjb28PQ0BD16tXD2LFj8fDhQ7Xt5XI5Vq9ejVatWsHExATm5ubw8PDAgQMHCj1HQkICxo4diyZNmsDY2BjvvPMOPD091R6TlJQEkUhU6Gvnzp0luj7GGKtMOnUCIiMBW1vgyhVhy6lC/jpmjP1L42fU1ElOTkZERAT+/vtv5OTkqHYuEmHBggUl7jcyMhLe3t4wNDTEkCFDYGFhgbCwMCQmJmLJkiWYO3dusX3cvXsXHTp0QEpKCjw9PeHm5oaEhAQcOHAAtra2OHfuHBwdHRXtiQi+vr7Yu3cvHB0d0atXL+Tk5GD//v1ISUnBqlWrMHXqVKVzXLhwAd26dYNMJkPfvn3RpEkTpKSkICwsDFKpFAEBAfD391e0T0pKQsOGDeHm5ob+/furxOzj44PmzZtr/HPiZ9QYY5VRfDzQo4eQpNnbA8ePC7saMFZdlOj7m7T05ZdfkoGBAYnFYsVLJBKpvC8pmUxGjo6OJJFI6MqVK4ry9PR0cnFxIX19fYqPjy+2nz59+hAAWrlypVL57t27CQB5e3srlYeGhhIA6tixI2VmZirKU1NTycHBgSQSCSUmJiod06tXLwJA+/fvVyq/f/8+mZubk7GxMWVnZyvKExMTCQCNHj262Pg1IZVKCQBJpdJS6Y8xxsrLgwdE775LBBDVqkV09aquI2Ks/JTk+1urW5+//vorfvjhB3Tr1g179uwBEWH06NHYsWMHJk2aBH19ffj4+CA8PLzEfYeHh+Pu3bsYNmwY3N3dFeVmZmZYsGABcnNzEVzMUtfZ2dk4evQoateujWnTpinV+fr6omXLljh69Cju3bunKM/faWHu3LkwNjZWlNvY2GDGjBnIyclROe+9e/cgEonQs2dPpXJ7e3s0b94cWVlZePnyZYmunzHGqgM7O+DUKcDdHUhJETZ3P3NG11ExVvFolaitX78eDRo0wJEjRzBgwAAAQIMGDTB48GD8/PPPOHbsGPbt24dULZ4UzV+bzcvLS6Uuv+zkyZNF9vH06VPk5ubCwcEBIpFIpb5hw4YAhEkR+Z48eaJUp679m4mni4sLiAjHjh1TKn/48CFiY2PRokUL2NjYqPT3999/45dffkFQUBA2bdqE5OTkIq+HMcaqolq1gIgI4Vm19HTAywv44w9dR8VYxaLxgrcF3b59GyNHjlRaWy03N1fx3sPDA3369MH3338PHx+fEvWdkJAAAGjSpIlKnZWVFWxsbBRtCmNlZQU9PT3cv38fRKSSrCUmJgIA4uPjFWW2traKOmdn52LbA8DixYtx5swZDBw4EP369UPjxo2RmpqKsLAwODg4YPfu3WrjO378OI4fP674rK+vj88++wzLli0rctutnJwcpWcB09PTC23LGGOVgYWFkJz5+gKHDwN9+wI7dgAff6zryBirGLTeQsrS0lLxvkaNGnj69KlS/bvvvosbN26UuF/pv4vrWFhYqK03NzdXtCmMiYkJPDw88OTJE6xZs0apLiwsDNHR0QCAFy9eKMp79eoFAFi6dCmys7MV5U+fPsWKFStU2gNAs2bNcP78ebi6umLPnj1YunQpNm7cCACKmaBvxuXv74/o6Gikp6cjJSUFBw4cQJMmTbB8+XLMmzevyOsKCgqChYWF4mVnZ1dke8YYqwxMTIDffxfWW5PJgMGDgW3bdB0VYxWDVonaO++8o3S7ztHRERcuXFBqExsbixo1arxddG9h+fLlMDU1xdSpU9GzZ0/Mnj0bAwcOhK+vL1xdXQEAenp6ivZDhw5Ft27dcPr0abRo0QLTpk3DpEmT4OLiopiRUbA9AFy6dAmdOnWCtbU1Ll++jIyMDNy7dw/jxo3DzJkz4evrq9S+Vq1aCAgIgJubG8zMzGBra4uPPvoI4eHhqFmzJpYvX47nz58Xek1z5syBVCpVvApbZoQxxiobQ0Ng61ZgzBhhT9CRI4F//93LWLWmVaLWsWNHnD9/XvG5X79+uHr1KiZNmoRDhw5hzpw5OHLkCLp06VLivvNH0gobNcuf0locNzc3REVFYdCgQbhy5QpWrlyJuLg4rFu3DiNHjgTw3+1OQLj9eOTIEQQEBEAsFmP9+vUICwtDv379sGfPHpX2MpkMgwcPhkgkwr59+xRrrzVs2BDLli3D4MGD8fvvvys9B1eYOnXqoHfv3nj9+jWioqIKbSeRSGBubq70YoyxqkJPT0jOJk8GiIDx44Gff9Z1VIzpllaJ2siRI+Ho6Ij79+8DAGbNmoWWLVti/fr16Nu3L7799ls4ODhg2bJlJe47/3ahuufQnj9/jrS0NLXPr6nj5OSEXbt2ISUlBTk5Obhx4wbGjx+P2NhYAEDr1q2V2kskEvj7+yMuLg45OTlISUnBunXr8OjRI5X2t2/fxr1799CuXTuYqNm0Ln8T+8uXL2sUa/6kg8zMTI3aM8ZYVSQWC8nZzJnC56lTge+/121MjOmSVola165dceTIEcXuBKampjh//jx2796Nb775Btu3b8f169e12r3Aw8MDAFRmUhYsy2+jjZcvX+LgwYOwtraGp6enRsds+/dhiSFDhijKXr9+DQCFzmzNL5dIJBqd4+LFiwCE2bOMMVadiURCcpb/2O6sWcDixcIoG2PVTlkv6lZSMpmMGjVqRBKJhK4WWAGx4IK3cXFxivLU1FS6desWpaamKvWTmZlJMplMqSw7O5t8fX3VLoRLRGoXngsNDSWxWExt2rSh3Nxcpb4sLCxILBbT0aNHlY559OgR1atXjwBQTEyMovzChQv0+vVrlXP88MMPBICaNWtGcrm8kJ+MKl7wljFW1QUGCoviAkRz5hCV4K9Ixiqsknx/a7U8R1nS19fHhg0b4O3tjc6dO2Po0KEwNzdXbCEVGBiIpgX2Glm9ejUWLVoEf39/BAQEKMovX76MgQMHwtPTE3Z2dkhPT8ehQ4fw4MED+Pn5qSyECwDt2rWDnZ0dnJ2dYWRkhIsXLyIyMhKNGjVCaGio0mQCiUSCH374AePHj0evXr3Qp08fODs748mTJ/j999+Rnp6OKVOmoEWLFopjZs+ejdu3b8PDwwN2dnbIysrCX3/9hatXr8LKygpbtmxRu+4bY4xVV/PmCbNCZ84EgoKAzEzgxx+FUTfGqgVNMr8pU6bQo0ePtM4cQ0NDafv27SU65sKFC9SzZ0+ysLAgY2Njat26NW3dulWlnb+/PwEgf39/pfL79++Tr68v2dnZkaGhIVlaWlL37t1pz549hZ7T39+fWrRoQWZmZmRkZETOzs40f/78IjPeEydO0Icffki2trakp6dH5ubm1LlzZ9q0aZNK219//ZV69uxJ9evXJyMjIzIyMqJ3332Xpk+fTg8fPtT8h/MvHlFjjFUXa9b8N7I2cSJRXp6uI2JMeyX5/tZoU/a6devixYsXGDZsGEaOHImuXbsWmwA+efIEO3bswMaNG3Hz5k2sXbsWfn5+b51Ysv/wpuyMseokJAQYNw6Qy4FRo4DffhNmijJW2ZTk+1ujW5937tzBt99+ix9//BEhISGoWbMm2rZti1atWqF27dqwsrJCVlYWnj17hoSEBFy8eBE3btxAXl4e2rdvjzNnzqB9+/alcnGMMcaqpzFjACMjYMQIYPNmIWELCeFkjVVtGo2o5ZNKpdi8eTNCQkIQHR2N/EPzn6vK/2xtbY2+ffti4sSJaNeuXRmEzQAeUWOMVU9hYcLuBbm5wPDhwKZNnKyxyqUk398lStQKevHiBf766y8kJyfj6dOnMDY2hq2tLVq0aKH0AD0rO5yoMcaqq99/BwYNEpK1YcOEZE2/wk2PY0y9cknUmO5xosYYq84KJmtDhgBbtnCyxiqHknx/a70pO2OMMaZLAwYAoaFCcrZzp7A/aG6urqNirHRxosYYY6zS6t8f2LMHMDAQkrURIzhZY1ULJ2qMMcYqtX79/kvWdu0SJhhwssaqCk7UGGOMVXp9+wJ79wrJ2u7dwgQDmUzXUTH29jhRY4wxViV89JGwdIehofDs2tChnKyxyo8TNcYYY1XGhx/+l6zt3cvJGqv8OFFjjDFWpfTpIyzdkZ+s8WxQVplxosYYY6zK6d1bGFnLn2DwySdAXp6uo2Ks5MosUZs1axYcHR3LqnvGGGOsSH36CBML9PWFxXAnThT2B2WsMimzRC0tLQ1JSUll1T1jjDFWrP79ge3bAbEY2LgRmDoV4P14WGXCtz4ZY4xVab6+wObNgEgE/PILMGMGJ2us8tB4V7Tu3buXqONbt26VOBjGGGOsLAwfDrx+LTyrtnKlMNHg22+F5I2xikzjRC0yMhIikQgl2cNdxL8BjDHGKoixY4WlOiZOBJYtAyQSYPFiXUfFWNE0TtRsbGxQt25dHDt2TKP206dPR2hoqNaBMcYYY6VtwgRhZG3aNCAwUBhZW7BA11ExVjiNE7VWrVrh5MmTsLGxgZ6eXrHtjY2N3yowxhhjrCxMnSoka198ASxcKIyszZ6t66gYU0/jyQStWrXC69evcf36dY3al+QWKWOMMVaeZs4EvvlGeP/VV8CKFToNh7FCaTyiNnjwYEgkEkgkEo3az5kzB2PHjtU6MMYYY6wszZkjjKwFBAgzQU1MhFujjFUkIuKhr0orPT0dFhYWkEqlMDc313U4jDFW6RABc+cCS5cKM0C3bRP2B2WsLJXk+5vXUWOMMVZtiUTCLdBPPxWStpEjgQMHdB0VY//hRI0xxli1JhIBq1YJSVpeHjBoEPDnn7qOijEBJ2qMMcaqPbEY+O03YMAAICcH6NcP+OsvXUfFGCdqjDHGGABh8/YdOwAvLyAjA+jdG4iO1nVUrLrjRI0xxhj7l0QChIUBnToBL14ISVtcnK6jYtUZJ2qMMcZYATVqAP/3f0CrVkBqKtCjB5CUpOuoWHXFiRpjjDH2BgsL4OhRoFkzIDlZSNb++UfXUbHqiBM1xhhjTA0bG+D4caBRI+DuXcDTE3j6VNdRsepG450J3vT69Wvs27cPUVFRePHiBfLy8lTaiEQibNy48a0CZIwxxnSlXj3gxAnhmbUbN4CePYWlO3iNcVZuSAtJSUnUpEkTEovFJBKJCn2JxWJtuicioosXL1KvXr3I0tKSTExMqE2bNrRt27YS9fHw4UOaMGEC2dnZkYGBAdWtW5fGjBlDDx48UNs+Ly+PVq1aRe7u7mRsbExmZmbUpUsX2r9/f6HniI+PpzFjxlDjxo3JyMiI6tWrRz169CjymG3btlGbNm3IxMSELC0tqVevXhQVFVWiayMikkqlBICkUmmJj2WMMaa5GzeIbGyIAKJu3YiysnQdEavMSvL9rdUWUgMHDsS+ffswcuRIfPLJJ6hfvz709dUPzjk4OJQ4eYyMjIS3tzcMDQ0xZMgQWFhYICwsDImJiViyZAnmzp1bbB93795Fhw4dkJKSAk9PT7i5uSEhIQEHDhyAra0tzp07B0dHR0V7IoKvry/27t0LR0dH9OrVCzk5Odi/fz9SUlKwatUqTJ06VekcFy5cQLdu3SCTydC3b180adIEKSkpCAsLg1QqRUBAAPz9/ZWO+eabbzBv3jzY29vDx8cHr169ws6dO5GdnY2jR4+ia9euGv+ceAspxhgrP5cvA926AS9fAgMHArt3A3p6uo6KVUYl+v7WJhO0sLCgHj16aHNosWQyGTk6OpJEIqErV64oytPT08nFxYX09fUpPj6+2H769OlDAGjlypVK5bt37yYA5O3trVQeGhpKAKhjx46UmZmpKE9NTSUHBweSSCSUmJiodEyvXr0IgMro2f3798nc3JyMjY0pOztbUR4fH0/6+vrUtGlTevHihaI8NjaWTExMyNHRkWQyWbHXlo9H1BhjrHyFhxMZGgoja+PHE8nluo6IVUYl+f7WajKBXC6Hu7u7NocWKzw8HHfv3sWwYcOUzmFmZoYFCxYgNzcXwcHBRfaRPzpVu3ZtTJs2TanO19cXLVu2xNGjR3Hv3j1F+b59+wAAc+fOhbGxsaLcxsYGM2bMQE5Ojsp57927B5FIhJ49eyqV29vbo3nz5sjKysLLly8V5cHBwcjNzcW8efNgYWGhKHdxccGoUaNw9+5dhIeHF/MTYowxpivdugmL4orFwIYNwLx5uo6IVXVaJWrt27fHrVu3SjsWAMJtTwDw8vJSqcsvO3nyZJF9PH36FLm5uXBwcIBIJFKpb9iwIQAgIiJCUfbkyROlOnXt30yiXFxcQEQ4duyYUvnDhw8RGxuLFi1awMbGRqNr8/b21ujaGGOM6dbAgcDatcL7oCDgxx91Gw+r2rRK1JYuXYqIiAjs2bOntONBQkICAKBJkyYqdVZWVrCxsVG0KYyVlRX09PRw//59kJpH8BITEwEA8fHxijJbW1uluuLaA8DixYtRq1YtDBw4EL6+vpgzZw7Gjx8PNzc3ODg4YPfu3SrXZmpqijp16qicI/96i7q2nJwcpKenK70YY4yVPz8/4JtvhPczZwKbN+s2HlZ1abU8x8GDB9GtWzcMHjwYHh4ecHd3V7qVl08kEmHBggUl6lsqlQKA2v4AwNzcHMnJyUX2YWJiAg8PD4SHh2PNmjWYMmWKoi4sLAzR/27e9uLFC0V5r169sGPHDixduhTdu3eHkZERAGF0bsWKFSrtAaBZs2Y4f/48fH19lZJWKysrjB07ViXZlEqlqFWrVqHXVfD61QkKCsKiRYuKvHbGGGPl43//E3Yu+PFH4JNPAGtr4MMPdR0Vq3K0eQiuqCU53nZ5Dk9PTwJACQkJausbNWpEhoaGxfYTHR1NpqamiokDs2bNogEDBpBYLCZXV1cCQJMnT1a0l8lk1K1bNwJAjRs3pqlTp9LEiROpdu3aivbGxsZK54iKiqJ69eqRp6cnXb58mTIyMujevXv05ZdfEgAaMGCAUnsDAwN655131Mb74MEDAkBeXl6FXlN2djZJpVLF6+HDhzyZgDHGdCgvj2jkSGFygZER0enTuo6IVQYlmUyg1YhawWe7Slv+SFphI0v5U1qL4+bmhqioKPj7+yMiIgIRERFo3Lgx1q1bhxcvXmDWrFmK250AoK+vjyNHjmDp0qXYvn071q9fDwsLCwwYMABffvklmjZtqtReJpNh8ODBEIlE2LdvH0xMTAAIz7MtW7YMDx8+xK5duxAREYFu3boprq2o6yp4/epIJBJIJJJir50xxlj5EIuBjRuBZ8+AQ4eEEbVTpwBXV11HxqoKrRI1Dw+P0o5DoeCzWu+9955S3fPnz5GWloYOHTpo1JeTkxN27dqlUj5mzBgAQOvWrZXKJRIJ/P39VdY+y58EULD97du3ce/ePQwcOFCRpBXUvXt37Nq1C5cvX1Ykak2aNMFff/2Fx48fqzynVtSzeYwxxiouAwNhTTVvb+DMGeG/Z88KW08x9rYq3F6f+UngmzMpC5a9TaL48uVLHDx4ENbW1vD09NTomG3btgEAhgwZoih7/fo1ACA1NVXtMfnlBUfAirq2o0ePKrVhjDFWeZiYAAcPAi1aAI8fA15ewn8Ze2tvc4/17Nmz5OfnR23atKGmTZtS69atyc/Pj06/xU16mUxGjRo1IolEQlevXlWUF1zwNi4uTlGemppKt27dotTUVKV+MjMzVRaPzc7OJl9fX7UL4RKR2nvFoaGhJBaLqU2bNpSbm6vUl4WFBYnFYjp69KjSMY8ePaJ69eoRAIqJiVGUx8XF8YK3jDFWhf39N1HDhsIza61aEaWn6zoiVhGV5Ptb60Ttiy++UNrrU09PT2kSwYwZM7TtmsLDw8nAwIBMTU3Jz8+PvvjiC2rYsCEBoMDAQKW2/v7+BID8/f2Vyk+fPk22trY0bNgw+uqrr2jy5Mlkb29PAMjPz4/kapaTdnJyIk9PT/rss89o9uzZ1LVrVwJAjRo1oqSkJJX2GzZsIAAkFovpo48+otmzZ9Po0aPJ3NycANCUKVNUjgkMDCQAZG9vTzNnzqSJEyeSubk5GRgYUHh4eIl+TpyoMcZYxZOQQGRrKyRrXl5Er1/rOiJW0ZR5orZp0yYSiUTk7OxMO3fupMePHxMR0ZMnT2jXrl3UrFkzEovFtGnTJm26JyKiCxcuUM+ePcnCwoKMjY2pdevWtHXrVpV2hSVq9+/fJ19fX7KzsyNDQ0OytLSk7t270549ewo9p7+/P7Vo0YLMzMzIyMiInJ2daf78+UX+IE+cOEEffvgh2drakp6eHpmbm1Pnzp2LvPatW7dS69atydjYmCwsLKhnz5508eLF4n8ob+BEjTHGKqaLF4lMTIRkbdQo3mqKKSvzTdnbt2+Pv//+G7GxsTAzM1OpT09PR4sWLVC3bl2cP39eq1uyrHi8KTtjjFVcR44AH30E5OUBc+b8t0AuYyX5/tZqMkFsbCw+/vhjtUkaICzeOnDgQNy4cUOb7hljjLFKr1cv4NdfhfdBQcDPP+s2HlY5aT3rs7iBOHV7bDLGGGPVydixwOLFwvtp04Dff9dtPKzy0SpRa968Ofbu3YtXr16prX/58iX27t0LFxeXtwqOMcYYq+zmzQMmTgSIgKFDhbXWGNOUVonapEmTkJycjPbt22Pv3r1IS0sDAKSlpWHPnj3o0KEDkpOTMXny5FINljHGGKtsRCLhtme/fkBODtC3L3Dzpq6jYpWFVpMJAGDGjBlYuXKl4hanWCyGXC4HINwWnTZtGlauXFl6kTIVPJmAMcYqj8xMoEcP4K+/ADs74b/vvKPrqJgulOT7W+tEDQDOnDmD4OBgREdHIz09Hebm5nB3d8fo0aPRuXNnbbtlGtI2UZPJZMjLyyvDyBirngwMDKCnp6frMFgF9vQp0LEjEBcn7Ad66hSgwfbVrIopt0SN6VZJE7X09HSkpaUhJyenHKJjrPoRiUSwsLBAnTp1eEIVK1RSEtC+vbDFVLduwjIeBXYbZNVASb6/tdqUnVU+6enpePToEUxNTWFjYwMDAwP+ImGsFBERMjIykJqaCmNjY1haWuo6JFZBNWggJGddugAREcCYMcC2bYC4wu2+zSoCjRK1Bw8eAADeeecd6OnpKT5rwt7eXrvIWKlKS0uDqakp6tevzwkaY2XE2NgYOTk5SElJgYWFBf+usUK1bAmEhQlrre3cCTRsyAviMvU0StQaNGgAkUiEW7duoWnTporPxRGJRMjNzX3rINnbkclkyMnJgY2NDX9xMFbGzM3NkZ6ejry8POjr800LVrgePYANG4QRtaAgIVnz89N1VKyi0ehvkVGjRimevSj4mVUO+RMHDAwMdBwJY1VffnKWm5vLiRor1ujRQGIisGgRMHkyYG8PeHvrOipWkfBkgkpM04cRs7OzkZiYiIYNG8LIyKgcI2Ss+uHfN1ZSRELCtmULYGYGnD4NuLnpOipWlsp8r0/GGGOMlQ6RSLgF2q0b8PIl0KcP8OiRrqNiFYVWiZqenh4W529eVohvv/2W1xNijDHGNGBoCOzdCzg7C0nahx8KSRtjWiVqRFTspuyMMcYY05yVFXD4MFCrFhAdDQweDPB8PFZmtz7z1xJijDHGmGYaNAAOHgSMjYW11qZNE55hY9WXxlOSNm/erPQ5OjpapQwQZhgmJycjODgYzZs3f/sIGavC5HI53N3d8c477+Dw4cO6DqdM3blzB05OTvjpp5/w6aef6jocxiqstm2B7duBgQOBtWuBRo2AWbN0HRXTGdKQSCQisVhc7EskEpFIJCITExM6cuSIpt0zLUilUgJAUqm0yHZZWVl08+ZNysrKKqfImKY2btxIAOjChQtK5cnJyfTjjz+Sp6cn2dnZkYGBAdWuXZsGDhxI58+fL7Q/Z2dnAkBPnjwp69AVLl68SL169SJLS0syMTGhNm3a0LZt29S2HTVqFNna2hb7Z7Yy4983VlpWrCASxtOIdu/WdTSsNGn6/U1EpPHyHJs2bcpP7PDJJ5+gf//+6Nevn0o7PT09WFtbo3379rCysiq9jJKp4OU5Kre8vDw0atQIDRs2RGRkpFLd//73P3z77bdwdHSEh4cHatWqhYSEBOzbtw9EhB07dmDQoEFKx2RmZsLc3Bx16tRBcnJyuVxDZGQkvL29YWhoiCFDhsDCwgJhYWFITEzEkiVLMHfuXKX2sbGxaNGiBRYvXoz58+eXS4zljX/fWGmaPh346SdhL9DwcKBDB11HxEpDifbq1iYTHDNmDO3fv1+bQ1kp4hG1yu3AgQMEgDZs2KBSt3fvXjp16pRK+alTp8jAwICsra0pOztbqe7s2bMEgD766KMyi7kgmUxGjo6OJJFI6MqVK4ry9PR0cnFxIX19fYqPj1c5zs3Njezt7SkvL69c4ixv/PvGSlNuLlHfvsKoWs2aRAkJuo6IlYaSjKhpNZkgODgYffv21eZQxiqEvXv3wt3dHSYmJpBIJHB3dy/3Z8RCQkIgEonw8ccfq9QNHDgQnTt3Vinv3LkzunXrhmfPnuH69etKdVeuXAEAtGrVSqt45s6dC5FIhD179qit/+233yASiRAUFAQACA8Px927dzFs2DC4u7sr2pmZmWHBggXIzc1FcHCwSj+DBg3CgwcP8Oeff2oVJ2PViZ6e8Lxa69bA06fCsh3Pn+s6Klae3nrWZ15eHp48eYIHDx6ofTFWkeTl5WHs2LHw8fGBtbU1pk+fjoEDByImJgb9+/dHdHR0ucRBRIiMjISTkxMsLS1LdGz+VmBvbk90+fJlANonaq6urgCAGzduqNRlZWXB398f9evXx+effw4Aitu1Xl5eKu3zy06ePKlS1759ewBCoscYK16NGsCBA0D9+kBcHDBoECCT6ToqVl603oju8uXLmDt3Lk6dOoXXr1+rbcObsld8REBmpq6jKJ6JibB699uaO3cuQkJCEBISgtGjRyvK3d3d8dVXX2H16tXYsGHD25+oGLdu3cKzZ8/Qq1evEh334MEDnDhxAnXq1EGLFi2U6t52RC2/P3WJ2sqVK5GcnIyQkBDFsjsJCQkAgCZNmqi0t7Kygo2NjaJNQa1btwYAnDt3Tqs4GauO6tYVlu3o1Ak4cUJYtuOXX0rn70VWsWmVqEVHR6Nz587Q19eHl5cXDh48CDc3N9SpUwdXrlxBamoqunbtCgcHh9KOl5WyzEzA1FTXURTv1SvhX5VvIy4uDj/++CNGjBihlKQBwODBg/HVV1+p3E4sK/kP+9euXVvjY2QyGUaOHImcnBx89913Sjt/ZGdn4+bNm7C1tUX9+vW1iundd9+FRCJRSdSePXuGpUuXwtXVFSNHjlSUS6VSAICFhYXa/szNzdVOajAzM4ORkVG5TXhgrKpo2RLYtg0YMABYt07YxWD6dF1HxcqaVrc+87ePunDhAvbv3w8AGDBgAI4cOYKkpCRMmjQJsbGx8Pf3L71IGXtLW7ZsgUwmw3Q1f7OZmJgAgCL5CQsLg6enJ6ytrSESiZCUlKRyjCZtCvP06VMA0HhmtFwuxyeffIJTp07Bz89PKWECgJiYGOTm5mo9mgYIt1KdnJyQkJAAWYH7KoGBgZBKpVi2bBnE4tJZI9va2hppaWml0hdj1Um/fsB33wnvZ84EDh3SbTys7Gn1t+6ZM2fQt29fODs7K8ro31U+jI2NsXr1atSrV09laj6reExMhNGqiv76N496K4cOHYKtra3i1ltBj/7dAdnR0REAkJGRgc6dO2PJkiWF9qdJm8Lk3z7Mysoqti0Rwc/PD1u3bsWIESOwdu1alTZve9szn6urK2QyGeLj4wEASUlJWLNmDby8vFSeRcsfScsfWXtT/vRzdbKyshTJMWOsZL74Ahg3DpDLgSFDgHK6EcB0RKtbn1KpFI0aNVJ8NjAwwKtXrxSfxWIxunbtih07drx9hKxMiURvf0uxMsjMzERMTAzc3NzU1h/695+lH3zwAQAoRqxu375daJ+atCmMra0tAOG2YlHkcjnGjx+P4OBgDB06FCEhIWpHtUorUct/Tu3mzZtwcXHB/PnzIZPJ8F3+P+ELyH82LSEhAe+9955S3fPnz5GWloYOahZ9ksvlkEqlcHFxeatYGauuRCJgzRrg7l0gMhL46CPgwgWgBE9SsEpEqxG1WrVq4XmB+cF16tRReWg4OzsbmZXhKXVWLURHR0Mul6v9M5mRkYENGzbAwsICPj4+5RKPi4sLxGKx2oft8xVM0gYPHowtW7YoPZdWUGmOqAHChIKrV69i+/btGDlypNoE18PDAwBw7Ngxlbr8svw2BSUkJEAul6tMhmCMac7QENi7F2jSBLh/H+jfH8jO1nVUrCxolag1a9YMcXFxis8dO3bEsWPHcP78eQDCjLbdu3fDycmpdKJk7C3lJzJxcXFKEwZyc3MxadIkJCUlYcmSJTAtp5kVlpaWcHV1xaVLlxSPDRQkl8sxbtw4BAcHw9fXF1u3bi00SZPJZLh+/TosLS2VRrq1UXDm5+zZs2FkZKR4JvVNH3zwARo1aoTt27crLWvy8uVLLF68GPr6+hgzZozKcRcuXACgPoljjGnO2hr4v/8DrKyA8+eBTz7hDdyrIq1uffbp0wczZszAP//8g7p16+Krr77C77//jo4dO8La2hrPnz+HXC7nZ9RYhZGfqPXp0wddu3bFsGHDIJFIcPDgQcTHx+PTTz/FlClTyjWm/v37IyAgAFFRUWjbtq1S3ddff42QkBCYmpqiadOmCAwMVHt8y5YtERsbi9evX8PMzAzjx49Xe67OnTurzHRVp169eqhZsyYOHz6MzMxMzJkzB3Z2dmrb6uvrY8OGDfD29kbnzp0xdOhQmJubK7aQCgwMRNOmTVWOO378OPT09PDhhx8WGw9jrGhNmwJ79gDe3sCOHYCTE7Bwoa6jYqVKm60PXr9+TY8fP6acnBxF2dmzZ6l3797k5ORE3t7e9H//93/adM1KgLeQ0pybmxvVqlWLMjIyyM/Pj2xsbMjIyKjIDcSJiG7dukUAKDEx8a3aqJOcnEx6eno0bdo0lbrRo0cTgCJfwcHBRES0YcOGYtsuW7ZM47i6du1KAMjGxkaj7U0uXLhAPXv2JAsLCzI2NqbWrVvT1q1b1bbNyMggU1NT6t+/v8bxVDb8+8Z04ddf/9vAfccOXUfDilOSLaS0StTKw8WLF6lXr15kaWlJJiYmxX6hqvPw4UOaMGEC2dnZkYGBAdWtW5fGjBlDDx48UNs+Ly+PVq1aRe7u7mRsbExmZmbUpUuXQvc1Le7LEYDSuRITE4tsu6OEv12cqGkmOzubDAwMyNPTs8THlmWiRkQ0dOhQqlmzJr169arEx1ZGGzduJAB08uRJXYdSZqr77xvTnS++EBI1iYTo/HldR8OKUpJETeudCcpSZGQkvL29YWhoiCFDhsDCwgJhYWEYPnw4kpKSNLqlevfuXXTo0AEpKSnw9PTE4MGDkZCQgE2bNuHw4cM4d+6cYikGQFgCYdCgQdi7dy8cHR0xbtw45OTkYP/+/ejXrx9WrVqFqVOnKp2jsHXi7ty5g23btsHZ2VntbSM3Nzf0799fpbx58+bFXhcruevXr0Mmk6Fly5YaH/Ps2TM8ePBAsTbazZs38eLFC9jb28Pa2lrjNsVZsmQJwsLC8PPPP2P27NkluaxKJzc3F9988w369u2LLl266Docxqqcb78F4uOFHQz69QMuXRK2nWKVnCaZ3/3797V+lZRMJiNHR0eSSCR05coVRXl6ejq5uLiQvr4+xcfHF9tPnz59CACtXLlSqXz37t0EgLy9vZXKQ0NDCQB17NiRMjMzFeWpqank4OBAEolE4xGTqVOnEgD64YcflMrzR9RGjx6tUT/F4RE1zaxbt44AFHo7Tp3g4OAibzdq2kYTO3fupNWrV5fomMooMTGR/P396c6dO7oOpUxV9983plsvXxK1aCGMrL33HlFGhq4jYuqU+q1PkUhEYrG4xC89Pb0SB3/06FECQGPHjlWp27lzJwGgOXPmFNlHVlYW6evrU+3atUkul6vUt2zZkgDQ3bt3FWXDhw8nAHTo0CGV9itWrCAAtHDhwmLjz8rKIisrKzI0NKSUlBSlOk7UdGPSpEkEgGJjY3UdCqsGqvvvG9O9xEQiGxshWRsyhEjN1yDTsVK/9Tlq1CiIymnn18jISABQWQW9YNnJkyeL7OPp06fIzc2Fg4OD2rgbNmyI6OhoREREKJYzePLkiaJOXXsACA8Px6JFi4o8d1hYGJ4/fw4fHx/FoqZv+vvvv/HLL7/gxYsXqFevHj744AOt92dkxfvll1/wyy+/6DoMxhgrFw0aCDNBe/QAdu4EWrQAeBGGykujRC0kJKSMw/hP/gKg+aueF2RlZQUbG5siFwnNb6enp4f79++DiFSStcTERABQbJMD/LdSfGJiotLWWIW1L8zGjRsBoNBlEgBheYLjx48rPuvr6+Ozzz4rdi/FnJwc5OTkKD6np6cXGw9jjLHqx8MDWL0amDQJmDcPcHERnltjlU/p7LBcivL3DSxsj0Bzc/NC9xbMZ2JiAg8PDzx58gRr1qxRqgsLC1MszvnixQtFea9evQAAS5cuRXaB5Z2fPn2KFStWqLRXJzExEREREbC3t4enp6fauPz9/REdHY309HSkpKTgwIEDaNKkCZYvX4558+YV2X9QUBAsLCwUr8LWt2KMMcYmTgTyl4ccMQKIjdVtPEw7FS5RKy3Lly+Hqakppk6dip49e2L27NkYOHAgfH19FdvkFFzpfejQoejWrRtOnz6NFi1aYNq0aZg0aRJcXFxgbm6u0l6d3377DUSEsWPHqh0Zq1WrFgICAuDm5gYzMzPY2trio48+Qnh4OGrWrInly5crbc31pjlz5kAqlSpeDx8+1OZHwxhjrJr48UegWzfg1Sugb1/g6VNdR8RKSqvlObp3765RO5FIhD///LNEfeePpBU2apaenl7oaFtBbm5uiIqKgr+/PyIiIhAREYHGjRtj3bp1ePHiBWbNmqX0DJm+vj6OHDmCpUuXYvv27Vi/fj0sLCwwYMAAfPnll2jatGmhz5wBwpY/+Rtmf/LJJyW65jp16qB3797YsmULoqKi1D6fBwASiQQSiaREfTPGGKu+DAyA0FCgTRsgMRHw9QWOHhXKWeWgVaKW/8B/YUQikdpnwzSR/2xaQkIC3nvvPaW658+fIy0tDR06dNCoLycnJ+zatUulPH//wdatWyuVSyQS+Pv7q6yPln+9b7Yv6I8//kBycjK8vb1hb2+vUXwF2djYAABvZM8YY6xU1awJHDgAtG8PREQAn38O/PyzrqNimtLq1qdcLlf7evHiBcLDw9GuXTt8/PHHeP36dYn7zt+o+dixYyp1+WVvs5nzy5cvcfDgQVhbW6t9jkydbdu2AQCGDBlSaBtNJhEU5eLFiwCABg0aaHU8Y4wxVpjmzYFt2wCRCFizBli7VtcRMY2Vxfog6enp5ODgQIsWLSrxsTKZjBo1akQSiYSuXr2q1Gf+grdxcXGK8tTUVLp16xalpqYq9ZOZmUkymUypLDs7m3x9fdUuhEtEatczCQ0NJbFYTG3atKHc3Fy1MaekpJCBgQHZ2Ngo7X/6pgsXLtDr169Vyn/44QcCQM2aNVO77ltheB01xioe/n1jFdmSJcL6avr6RJGRuo6m+tL5FlJmZmbo1asXgoODsXDhwhIdq6+vjw0bNsDb2xudO3fG0KFDYW5ujrCwMCQmJiIwMBBNmzZVtF+9ejUWLVoEf39/BAQEKMovX76MgQMHwtPTE3Z2dkhPT8ehQ4fw4MED+Pn5Ydq0aSrnbteuHezs7ODs7AwjIyNcvHgRkZGRaNSoEUJDQwudTLB582bIZDKMGjUKhoaGhV7b7Nmzcfv2bXh4eMDOzg5ZWVn466+/cPXqVVhZWWHLli3ltl4dY4yx6mfOHOD6dWF9tY8/BqKiADXLh7IKpMz2+hSLxfjnn3+0OrZbt244c+YM/P39sXv3brx+/RouLi5YvHgxhg8frlEf9vb26Nq1K06fPo0nT57AxMQErVq1wvLly/Hxxx+rPWbw4MEICwvD+fPnIZPJ0LBhQ8yfPx+zZs1SzPxUR9PbniNGjMDevXtx7tw5pKWlAQAcHBwwffp0fPnll7zoLWOMsTIlEgEbNwIJCcDly8LaamfPAmZmuo6MFUZERFTand67dw/vv/8+rKysEBcXV9rds3/lz4CVSqVFJpLZ2dlITExEw4YNYWRkVI4RMlb98O8bqwySk4HWrYEnT4ABA4SdDIpYb52VMk2/vwEtR9QKW34iNzcXjx49wpkzZyCTyZRuRTLGGGOsYqhfH/j9d2EHg99/B5Yu5W2mKiqtErXitpRq2rQpZs6ciQkTJmjTPWOMMcbKWPv2wjIdEyYA8+cDLVsCvXvrOir2Jq0Stfy9L98kFothaWkJM77ZzRhjjFV4fn7ApUvA+vXAsGHC+8aNdR0VK0irO9IODg5qX3Z2dpykMVYCcrkcbm5u6M3/jK2Q7ty5A319fZU9gxmrSn76SRhdk0qB/v2Bly91HRErqFQeHczIyMA///yDjIyM0uiOsWojJCQEMTExKs9zPnr0CCtWrICXlxfs7e1haGiIOnXq4OOPP8aFCxcK7a9Zs2YQiURISUnROqaoqCj07t0bVlZWqFGjBtq2bYvt27dr3R8AbN26FRMnTkTr1q0hkUggEomKfYSiImjcuDGGDx+OgIAApKen6zocxsqERALs3QvUrQvcuAGMHQuU/jRDpi2tE7WcnBwsWbIETZs2hbm5OerXrw9zc3M0bdoU33zzDXJyckozTsaqnLy8PCxatAgeHh5o27atUt2qVaswY8YM3Lt3D56envjiiy/QqVMn7N+/Hx06dMDu3btV+svMzER8fDzeeecd1KpVS6uYIiMj0alTJ5w+fRo+Pj6YPHky0tLSMHz4cHzzzTda9QkA8+fPx/r163H//n3UrVtX6350YdasWUhNTcVPP/2k61AYKzN16wozPw0MhKRt6VJdR8QUtFlR9/nz5+Tu7k5isZgMDQ3J2dmZunbtSs7OzmRoaEhisZhatWpFz58/16Z7piHemaByO3DgAAGgDRs2qNTt3buXTp06pVJ+6tQpMjAwIGtra8rOzlaqO3v2LAGgjz76SKt4ZDIZOTo6kkQioStXrijKC+4KEh8fr1Xfx48fp6SkJCIiCgoKIgAUHBysVV+64ObmRvb29pSXl1dsW/59Y5XZunXCzgUiEdHhw7qOpuoqyc4EWo2ozZ07F9HR0RgzZgySkpJw8+ZNRERE4ObNm0hKSsLo0aNx9epVzJs3rxRTSsZKz969e+Hu7g4TExNIJBK4u7vj8OHD5RpDSEgIRCKR2gWYBw4ciM6dO6uUd+7cGd26dcOzZ89w/fp1pborV64AAFq1aqVVPOHh4bh79y6GDRsGd3d3RbmZmRkWLFiA3NxcBAcHa9V3jx494ODgoHH7uXPnQiQSYc+ePWrrf/vtN4hEIgQFBWkVT0kNGjQIDx48wJ9//lku52NMVyZMEF5EwuSCO3d0HRHTKlH7/fff0aFDB2zcuFHlNkbdunXx22+/4f3330dYWFipBMlYacnLy8PYsWPh4+MDa2trTJ8+HQMHDkRMTAz69++P6OjocomDiBAZGQknJydYWlqW6FgDAwMAwnZrBV2+fBmA9olaZGQkAMDLy0ulLr/s5MmTWvVdUq6urgCAGzduqNRlZWXB398f9evXx+eff14u8bRv3x6AkMwyVtXlTy548UKYXPDqla4jqt60Wp4jPT0dHh4eRbbp2rUrrl27plVQrPwQETJlmboOo1gmBialsg/q3LlzERISgpCQEIwePVpR7u7ujq+++gqrV6/Ghg0b3vo8xbl16xaePXuGXr16lei4Bw8e4MSJE6hTpw5atGihVPe2I2oJCQkAgCZNmqjUWVlZwcbGRtGmrOVfm7pEbeXKlUhOTkZISAiMjY3LJZ7WrVsDAM6dO1cu52NMlyQS4Xm19977b3LB7t3C9lOs/GmVqLm4uODhw4dFtnn48CFcXFy0CoqVn0xZJkyDTHUdRrFezXmFGoY13qqPuLg4/PjjjxgxYoRSkgYI+7x+9dVXKrcTy0pycjIAoHbt2hofI5PJMHLkSOTk5OC7776Dnp6eoi47Oxs3b96Era2t1nvGSqVSAICFhYXaenNzc0XcZe3dd9+FRCJRSdSePXuGpUuXwtXVFSNHjiyXWADh9q+RkVG5XT9julavnjCpoGtXIWlbulTY0J2VP61ufc6ZMwehoaGKWyVvCg8PR2hoKD+jxiqULVu2QCaTYfr06Sp1JiYmAKBIfsLCwuDp6Qlra2uIRCIkJSWpHKNJm8I8ffoUgDBSpQm5XI5PPvkEp06dgp+fn0qSEhMTg9zcXK1H0yoafX19ODk5ISEhATKZTFEeGBgIqVSKZcuWQVzOGxNaW1sjLS2tXM/JmC516ACsXi28nzcP+OMP3cZTXWk1ovby5Uv06NEDH3zwAby8vNCpUyfUqlULKSkpOH36NI4fP44+ffpAKpVi8+bNSseOGjWqVAJnpcPEwASv5lT8BxBMDEzeuo9Dhw7B1tZWcRuroEePHgEAHB0dAQhrA3bu3BkDBw7Ep59+qrY/TdoUJv+WXVZWVrFtiQh+fn7YunUrRowYgbVr16q0edvbnsB/I2n5I2tvyt9EuLy4urri2rVriI+Ph4uLC5KSkrBmzRp4eXmpfY6urGVlZSkSesaqiwkThN0Kfv0VGDpUeP/vX5OsvGgzrVQkEpFYLCaRSFTkSywWK175n1np4eU5NJeRkUFisZjc3d3V1gcGBqpdMuLWrVsEgBITEwvtW5M2bzpz5gwBoEmTJhXZLi8vj8aOHUsAaOjQoZSbm6u2nZ+fHwGg0NBQjWN405w5cwgA7dixQ6Xu2bNnBIA6dOigdf/5NF2e47vvviMAtHv3biIiGj58OInFYoqOjlZql//zP3DgALVp04aMjIyoR48elJ6eTjt37iQnJycyNTWlCRMmKB2XmJhIAGj16tXUrFkzMjIyonbt2lFcXJxKLHl5eSQWi6lFixbFXh//vrGqJjubqH17YdkONzeijAxdR1T5lWR5Dq1G1LSdos+YrkRHR0MulyMzU3XiREZGBjZs2AALCwv4+PiUSzwuLi4Qi8VFPpwvl8sxfvx4BAcHY/DgwdiyZYvSc2kFlcaImoeHB4KCgnDs2DEMGTJEqe7YsWOKNuWl4MzPxo0bY/v27Rg1ahTc3NyU2sXExEBPTw+//PILVq9eDZlMhl69eqF///6wt7fHnj17cPPmTQwaNAjjx49HmzZtFMcBwK+//oqNGzfCxMQEY8eOxZQpU3D8+HGlcyQkJEAul6tM4GCsOpBIgNBQoFUr4No1YPJkICSEJxeUm3JIHFkZ4RE1za1atYoAEACKiYlRlMtkMhoxYoRiZOVNZTWiRkTUsmVLsrCwILlcrlKXl5dHY8aMIQDk6+tLMpms0H5ev35NhoaGZGlpWaLzv0kmk1GjRo1IIpHQ1atXFeUFF7xVN9rk4eFBACgiIkKj82g6ovbo0SMCQD4+PtSjRw8yNjamBw8eqLSbO3cuvfPOO5Senq4o69y5M3Xq1EnpZ2tpaUkHDhxQfP7666/JxMSEHj9+rCjbtWsXmZiYqJxj06ZNBIDWrVtX7PXx7xurqiIiiPT0hJG1X37RdTSVW5mPqDFW2eSPOPXp0wddu3bFsGHDIJFIcPDgQcTHx+PTTz/FlClTyjWm/v37IyAgAFFRUSpbSH399dcICQmBqakpmjZtisDAQLXHt2zZErGxsXj9+jXMzMwwfvx4tefq3LmzykzXN+nr62PDhg3w9vZG586dMXToUJibmyMsLAyJiYkIDAxE06ZNVY6Ty+WK4wuzYcMGnDlzBgAUM2s3bNigmJDUv39/9O/fX+mYevXqoWbNmjh8+DAyMzMxZ84c2NnZqfQdExMDHx8fmJmZKcoePXqEOXPmKJZ0SU9Px4sXL9CwYUNFm2vXrmHYsGFKM28NDQ1BajY5PH78OPT09PDhhx8Weo2MVXVduwJBQcDs2cBnnwHu7kC7drqOqhp4m4wwKSmJlixZQr6+vuTl5UU+Pj4UGBhY4pEFph0eUdOcm5sb1apVizIyMsjPz49sbGzIyMiI2rRpQ9u2bSv0uLIcUUtOTiY9PT2aNm2aSt3o0aMVI4CFvfJHpDZs2FBs22XLlmkc14ULF6hnz55kYWFBxsbG1Lp1a9q6davatnK5nGrWrEkNGjQoctSvuOvx9/dXe1zXrl0JANnY2BT659zOzk7p/6FUKiWRSKQ0cnr69GkyNDRUirFx48a0atUqpb4WLFhA77//vlJZRkYGmZqaUv/+/Qu9voL4941VZXI50cCBwqha/fpEKSm6jqhyKsmImtaJ2qpVq0gikaidVGBoaEgrVqzQtmumIU7UNJOdnU0GBgbk6elZ4mPLMlEjIho6dCjVrFmTXr16VeJjK4Lr168TAPr55591cv7nz58TALpx44ai7NSpUySRSJSSstWrVytNJHn58iWJRCKlv6cyMzOpTp069Msb93Q2btxIAOjkyZMaxVTdf99Y1SeVEjVtKiRrH3xAVMgcJ1aEMt/r8/Dhw/jss89gaWmJb775Bn/99RcSExNx/vx5LF26FFZWVpg5cyYOHTqkTfeMlarr169DJpOhZcuWGh/z7NkzREdH4/bt2wCAmzdvIjo6Gs+ePStRm+IsWbIEr169ws8//6zxMRXJ6dOnUbt2bXzyySc6Of+1a9dgZGSEd999V1EWHR2N5s2bK92KvXbtmtL//+vXr8PQ0BAbNmzApUuXEBMTgz59+qBBgwYYN26col1ubi6++eYb9O3bF126dCmXa2KsojM3B8LCABMT4M8/gQULdB1R1aZVovb999+jZs2auHLlCr766iu0a9cODg4OaNu2LWbPno3Lly/D2toay5cvL+14GSux/OfT3pwtWJQDBw7A3d0dAwYMACA82+bu7o4DBw6UqE1xGjZsiE2bNqFGjbfbdUFXJk+ejMePH8PIyEgn54+JiUHz5s2VZsO+mZTllxX8/3/t2jU0b94cn332Gfr06YNOnTqhcePGOH78uGIvVUDYQWLEiBH8dxljb3BxATZuFN4HBQH79+s2nqpMRKTmydliWFpaYvjw4UWOAkyZMgXbtm3Dixcv3iY+VoT8BUilUinMzc0LbZednY3ExEQ0bNhQZ1+oujR58mSsXbsWsbGxvK0ZAyD8mcjOzi6TpYaq++8bq14+/xxYuVIYZbt0CVCzVTBTQ9Pvb0DLEbXXr18XOwJQo0YNvH79WpvuGStVv/zyC4iIkzSmcO3aNV4TjbFSsGwZ0LEjkJ4ODBwIZGToOqKqR6tErWnTpjh48CByc3PV1ufm5uL//u//1E7lZ4wxXSIiXL9+Hc2bN9d1KIxVegYGwO7dQO3aQGwsMHEiUPL7dKwoWiVqo0ePRlxcHLy9vXH58mWlukuXLqFXr16Ii4srdt0mxhgrbyKRCC9fvtTJfqGMVUX16gnJmp4esG0bsGaNriOqWrRa8Pazzz7DmTNn8Pvvv6Nt27YwNjZG7dq18eTJE2RlZYGI0K9fP0yfPr2042WMMcZYBdOlC/Dtt8CXXwIzZgjbTbVvr+uoqgatRtT09PSwd+9ebNq0CV27doVEIsGDBw8gkUjQrVs3bNq0Cb///jvEYq26Z4wxxlglM3Mm4OMDyGTCf1NSdB1R1fBWW0iNHDkSI0eOLK1YGGOMMVZJiUTAb78Jz6rdvg0MHw788YdwS5Rpr0RDXufPn8cHH3wAc3NzmJubo0ePHrh48WJZxcYYY4yxSsTMDNizR1gM98QJQM02xayENE7Url+/ju7duyMiIgKvXr3Cq1evEB4ejm7duuHGjRtlGSNjjDHGKgkXF2DtWuH9okVCwsa0p3GitnTpUmRnZ2PevHl4/Pgxnjx5grlz5yIrKwvffvttWcbIGGOMsUpk5Ehg/HhhqY5hw4BHj3QdUeWlcaJ2+vRpdOrUCYsXL0atWrVga2uLwMBAdOzYESdPniz1wKKiotC7d29YWVmhRo0aaNu2LbZv316iPpKTkzFx4kTY29vD0NAQ9erVw9ixY/Hw4UO17eVyOVavXo1WrVrBxMQE5ubm8PDwKHRLIJFIVOxL3bm2b9+Otm3bokaNGrCyskLv3r1x6dKlEl0bY4wxVpH99BPg5gakpgJDhgCFLL3KiqHxZIInT55gyJAhKuXvv/8+oqKiSjWoyMhIeHt7w9DQEEOGDIGFhQXCwsIwfPhwJCUlYe7cucX2cffuXXTo0AEpKSnw9PTE4MGDkZCQgE2bNuHw4cM4d+4cHB0dFe2JCIMGDcLevXvh6OiIcePGIScnB/v370e/fv2watUqTJ06Vekc/v7+as99584dbNu2Dc7OzrCzs1Oq++abbzBv3jzY29tj0qRJePXqFXbu3ImOHTvi6NGj6Nq1a8l/YIwxxlgFY2wMhIYC770HnDkDzJ8PLF2q66gqIdKQSCSiRYsWqZQHBASQWCzWtJtiyWQycnR0JIlEQleuXFGUp6enk4uLC+nr61N8fHyx/fTp04cA0MqVK5XKd+/eTQDI29tbqTw0NJQAUMeOHSkzM1NRnpqaSg4ODiSRSCgxMVGja5g6dSoBoB9++EGpPD4+nvT19alp06b04sULRXlsbCyZmJiQo6MjyWQyjc5BRCSVSgkASaXSIttlZWXRzZs3KSsrS+O+GWPa4d83xpSFhhIJN0GJDh7UdTQVg6bf30REFW6hs/DwcNy9exfDhg2Du7u7otzMzAwLFixAbm5usRspZ2dn4+jRo6hduzamTZumVOfr64uWLVvi6NGjuHfvnqJ83759AIC5c+fC2NhYUW5jY4MZM2YgJydHow2cs7OzsW3bNhgaGqosXRIcHIzc3FzMmzcPFhYWinIXFxeMGjUKd+/eRXh4eLHnYIwxxioLHx/gs8+E96NGAUlJOg2n0inROmpbt27F+fPnlcru3LkDAOjdu7dKe5FIhEOHDpUooMjISABQu71Lfllxz8Q9ffoUubm5cHBwgEgkUqlv2LAhoqOjERERgUaNGgEQbu3m16lrDwhJ5KJFi4o8d1hYGJ4/fw4fHx/Y2tpqfG3e3t5Yu3YtTp48WejWNjk5OcjJyVF8Tk9PLzIWxhhjrCJYtgw4fx64eBEYNAg4fRqQSHQdVeVQokTtzp07isTsTX/88YdKmbokqTgJCQkAgCZNmqjUWVlZwcbGRtGmMFZWVtDT08P9+/dBRCpxJCYmAgDi4+MVZflJVWJiIpydnYttX5iNGzcCAMaPH69Sl5CQAFNTU9SpU0elLv96i7q2oKCgYhNFxhhjrKIxNBT2A3V3B6KigFmzhMkGrHga3/pMTEws8avgrUVNSaVSAFC6NViQubm5ok1hTExM4OHhgSdPnmDNG7vDhoWFITo6GgDw4sULRXmvXr0A/LcMSb6nT59ixYoVKu3VSUxMREREBOzt7eHp6alSL5VKi7yu/DaFmTNnDqRSqeJV2OxVxhhjrKJxcAC2bBHer1olTDRgxdN4RM3BwaEs4yh1y5cvR6dOnTB16lQcPHgQrq6uuHPnDvbv3w9XV1fExMRAr8C+FkOHDkVwcDAiIiLQokUL9OzZEzKZDPv27UPt2rUBQKm9Or/99huICGPHji2TfU4lEgkkPFZcpcjlcri7u+Odd97B4cOHdR1OhXDnzh04OTnhp59+wqeffqrrcBhjpahPH+B//xNmf44bJyzf0bSprqOq2CrcZIL8EafCRpbS09MLHZUqyM3NDVFRURg0aBCuXLmClStXIi4uDuvWrVM85F/wGTJ9fX0cOXIEAQEBEIvFWL9+PcLCwtCvXz/s2bNHpf2b5HI5QkJCIBaL8cknnxR6bUVdV34bVn2EhIQgJiYGAQEBSuWPHj3CihUr4OXlpVgHsE6dOvj4449x4cKFQvtr1qwZRCIRUirxbsiNGzfG8OHDERAQwM9hMlYFLV4MdOkCvHwJ+PoCWVm6jqhiq3CJWlHPaj1//hxpaWlqn19Tx8nJCbt27UJKSgpycnJw48YNjB8/HrGxsQCA1q1bK7WXSCTw9/dHXFwccnJykJKSgnXr1uHRv0sqv9m+oD/++APJycnw9PSEvb19odf26tUrPH78WKWuqGfzWNWUl5eHRYsWwcPDA23btlWqW7VqFWbMmIF79+7B09MTX3zxBTp16oT9+/ejQ4cO2L17t0p/mZmZiI+PxzvvvINatWqV12WUiVmzZiE1NRU/8UMsjFU5+vrAjh1ArVpATAzwxuIM7A0VLlHz8PAAABw7dkylLr8sv402Xr58iYMHD8La2lrtc2TqbNu2DQDULvibr6hJBPmKurajR48qtWFV3+HDh/HgwQOVZVwAoG3btjh16hTu3LmDjRs3IigoCHv27EFERAT09PQwefJkpRnAABAdHY28vDy0atWqvC6hzDRv3hxubm749ddfIZfLdR0OY6yU1asHbN8OiETAxo3A1q26jqgCK/NV3UpIJpNRo0aNSCKR0NWrVxXlBRe8jYuLU5SnpqbSrVu3KDU1VamfzMxMlcVjs7OzydfXV+1CuESkduG50NBQEovF1KZNG8rNzVUbc0pKChkYGJCNjQ3l5OQUem1xcXG84G0FsWfPHmrZsiUZGxuToaEhtWzZkg4dOlSuMQwcOJBEIhE9f/68RMd5eXkRAIqKilIqX7VqFQEgf39/reKZM2cOAaDQ0FC19Rs3biQA9M0332jVf0ktWbKEANCxY8fK5XylhX/fGNNcQICwEG6NGkQFvtqrvEq94K2+vj42bNgAuVyOzp07Y8KECfjyyy/h5uaGGzduICAgAE0LPHm4evVqODs7Y/Xq1Ur9XL58GfXq1cPw4cPxv//9D59++imaNm2K0NBQ+Pn5qSyECwDt2rWDl5cXpk+fjq+++grdunWDr68vGjRogNDQ0EInE2zevBkymQyjRo2CoaFhodfWtGlTBAQEID4+Hq6urvjiiy8wadIkdOjQATKZDL/++iv09Uu0Ygoroby8PIwdOxY+Pj6wtrbG9OnTMXDgQMTExKB///6KGcFljYgQGRkJJycnWFpaluhYAwMDAFD5s3L58mUA0HpEzdXVFQBw48YNlbqsrCz4+/ujfv36+Pzzz7Xqv6Tat28PALwINGNV2Pz5QNeuQEYGMHgwUGDRBZav7PNG7Vy4cIF69uxJFhYWZGxsTK1bt6atW7eqtPP391c7inD//n3y9fUlOzs7MjQ0JEtLS+revTvt2bOn0HP6+/tTixYtyMzMjIyMjMjZ2Znmz59fbMbr7OxMAOjmzZsaXdvWrVupdevWZGxsTBYWFtSzZ0+6ePGiRscWVDojanIielUJXvKS/GgKNXv2bAJAISEhSuXffvstAaBx48aVynmKc+PGDQJAw4cPL9Fx9+/fJ4lEQnXq1FEZ4XV1dSUA9PDhQ61iio2NJQDk6+urUhcUFKT251aW0tPTCQB16dKl3M5ZGnhEjbGSefSIyNZWGFmbMkXX0ZSPkoyoVdhEjRWvdBK1VyT8Major1cl+dGodfv2bTIwMKARI0ao1CUlJREAatu27VufRxNHjx4lADRz5kyNj3n9+jV16dKFANDmzZuV6rKyskhfX59sbW21jkkmk5FEIqFmzZoplT99+pQsLCzI1dWV8vLytO5fG0ZGRtSoUaNyPefb4kSNsZI7cuS//UCLGE+pMir1rU/GysqWLVsgk8kwffp0lToTExMA/62VFxYWBk9PT1hbW0MkEiFJzeZ0mrQpzNOnTwEIu2hoQi6X45NPPsGpU6fg5+enMgEhJiYGubm5bzWRQF9fH05OTkhISIBMJlOUBwYGQiqVYtmyZWWyPmBRrK2tkZaWVq7nZIyVv549ga++Et6PGwf8uyEQQwWc9cnKmwmAV5XgZfLWV3ro0CHY2tqqXWYlfwkWR0dHAEBGRgY6d+6MJUuWFNqfJm0KY2xsDEB49qs4RAQ/Pz9s3boVI0aMwNq1a1XaXLlyBYD2z6flc3V1hUwmU2yXlpSUhDVr1sDLy6vQPWjLUlZWliKJZoxVbYsXA+3bA1IpMGQI8Pq1riOqGDhRq/ZEAGpUglfJ940tKDMzEzExMahfv77a+kOHDgEAPvjgAwDAyJEjsXDhQnTr1q3QPjVpU5j8xZOfPXtWZDu5XI5x48bht99+w9ChQxWLKr+ptBK1Fi1aAABu3rwJAJg/fz5kMhm+++47lba3b9+GSCTCwYMH0bZtWxgbG8PT0xMvX77Erl274OzsDDMzM0ycOFFxTFJSEkQiEX7++We4uLjA2NgY77//vtp9dOVyOaRSaZELTTPGqg4DA2F9NUtLYfP2efN0HVHFwIkaqxaio6Mhl8uRmZmpUpeRkYENGzbAwsICPj4+5RKPi4sLxGKx2oWd88nlcowfPx7BwcEYPHgwtmzZUujM49IcUQOEmZ9Xr17F9u3bMXLkSLi5uam0zd+G7ZdffsHq1atx4sQJXLhwAf3798cff/yBPXv24LfffsP69esRFRWlOAYAfv31V2zcuBEXLlyATCbDlClTVPpPSEiAXC5XJI+MsarPwQEIDhbef/89wDvrlWCvT8Yqs/xEJi4uDtevX1d8+efm5mLSpElISkrC6tWrYWpqWi7xWFpawtXVFZcuXQIRQSRSHjHMH0kLCQmBr68vtm7dWmiSJpPJcP36dVhaWqJRo0ZvFVf+z+XGjRs4e/YsjIyMsHjxYrVtr127hjp16mDXrl0wMzMDALRs2RKvX7/Gb7/9BpFIBBcXF1haWip247h27RpMTExw9OhRxR66X331FcaOHavSf/5WWbwINGPVS//+wm4Fq1YBo0YB164B77yj66h0hxM1Vi3kJ2p9+vRB165dMWzYMEgkEhw8eBDx8fH49NNP1Y7qlKX+/fsjICAAUVFRKltIff311wgJCYGpqSmaNm2KwMBAtce3bNkSsbGxeP36NczMzArdGaNz584YPXp0sTHVq1cPNWvWxOHDh5GZmYk5c+bAzs5ObduYmBj4+PgokjRAeNZvzpw5isQzPT0dL168QMOGDQEIidqwYcMUSRoAGBoagohU+j9+/Dj09PTw4YcfFhs3Y6xqWbYMOHsWuHIFGDYM+PNPYeup6qiaXjarbq5cuYJatWph9+7d+Pzzz7Fz5068evUKLVq0wLZt2zBs2LByj2n8+PFYvHgxtm7dqpKo5c8gffXqVaGTFRo0aICWLVsqktCnT58qtjJ7k5OTk8ZxtWjRApGRkbCxscH//ve/Qttdu3YNQ4cOVXxOT09HYmIi2rVrpyiLiYmBoaGh4vzXrl1TmXV75coVlVurmZmZ2LdvHz766CPUq1dP49gZY1WDRALs3Am0agWcOiVMNFi0SNdR6QY/o8aqvJycHNy8eRNubm4wMTHB+vXrkZqaiqysLFy8eFEnSRoAvPPOOxg0aBC2b9+OjIwMpbqQkJBiF5cbM2YMAGDcuHHFtv3yyy81jisiIgJEhNTUVJibm6tt8+LFCzx8+BAtW7ZUlF27dg2GhoZwdnZWKnNxcYG+vj5evXqFu3fvIi8vT1GflZWFX3/9VWW0Lz+RnjFjhsZxM8aqliZNgPXrhfeLFwPVdZMSTtRYlXf9+nXIZDKlpKI4z549Q3R0NG7fvg1AmAUZHR2tNEtTkzbFWbJkCV69eoWff/5Z42MqgmvXrsHIyAjvvvuuoiw6OhrNmzdX2trq2rVrip/79evXYWhoiA0bNuDSpUuIiYlBnz590KBBA4wbN05xTG5uLr755hv07dsXXbp0KbdrYoxVPEOHAuPHC0vhDh8OpKToOqLyx4kaq/Lybw2qm7lYmAMHDsDd3R0DBgwAIDzb5u7ujgMHDpSoTXEaNmyITZs2oUaNGhofUxHExMSgefPmShMcCiZlBcvyf+7Xrl1D8+bN8dlnn6FPnz7o1KkTGjdujOPHjyv2LwWA5ORkjBgxAsuXLy+Xa2GMVWwrVwIuLsDjx8DIkYBcruuIypeI1D3FyyqF9PR0WFhYQCqVFnqLCgCys7ORmJiIhg0bwsjIqBwjrBgmT56MtWvXIjY2Fi4uLroOp9qaPHkysrOzEZw/976Kqu6/b4yVhRs3gDZtgKws4LvvgFmzdB3R29H0+xvgETVWDfzyyy8gIk7SdOzatWu8JhpjTCsuLsBPPwnv584F/l2asVrgRI0xVuaICNevX0fz5s11HQpjrJIaNw7w8QFyc4Vn116+1HVE5YMTNcZYmROJRHj58qVO9gtljFUNIpEwC9TeHrh7F5g6VdcRlQ9O1BhjjDFWKVhZAdu2AWIxsHkzsH27riMqe5yoMcYYY6zS6NQJWLBAeD9pEnDvnm7jKWucqDHGGGOsUpk/H+jYUXhObdgwQCbTdURlhxM1xhhjjFUq+vrCLVALC+DCBSAgQNcRlR1O1BhjjDFW6Tg4AL/+KrwPCgIiInQbT1nhRI0xxhhjlZKvr7BsB5Gwa8HTp7qOqPRxosYYY4yxSmvlSuDdd4FHj/5L2qoSTtQYY4wxVmnVqAHs2AEYGgL79wNr1+o6otLFiRpjjDHGKjV3d2DpUuH9zJlAbKxu4ylNnKgxxhhjrNKbPh3o1QvIzgaGDBE2cK8KOFFjjDHGWKUnFgMhIUDt2sCNG8CXX+o6otLBiRpjjDHGqoRatYStpQBgzRrgwAHdxlMaOFFjjDHGWJXh5QV88YXwftw44PFj3cbztjhRY0yH5HI53Nzc0Lt3b12HUmnduXMH+vr6WLNmja5DYYxVEEuWAG5uQFoaMHZs5V6ygxM1xnQoJCQEMTExCHhj/5NHjx5hxYoV8PLygr29PQwNDVGnTh18/PHHuHDhQqH9NWvWDCKRCCkpKSWORdtz6lrjxo0xfPhwBAQEID09XdfhMMYqAIlE2GLKyAj44w/g5591HZH2OFFjTEfy8vKwaNEieHh4oG3btkp1q1atwowZM3Dv3j14enriiy++QKdOnbB//3506NABu3fvVukvMzMT8fHxeOedd1CrVq0Sx6PNOSuKWbNmITU1FT/99JOuQ2GMVRAuLsB33wnvZ80Cbt7UbTzaEhFV5gHB6i09PR0WFhaQSqUwNzcvtF12djYSExPRsGFDGBkZlWOErCgHDx5E3759sWHDBowbN06pLiwsDLa2tujcubNS+enTp/HBBx/AzMwMf//9NyQSiaLu3Llz6NixIz766CMc0OIJWm3OWZG0bNkSz58/R2JiIsRi3f0blH/fGKs4iIDevYVRtZYtgfPnhdE2XdP0+xuowCNqUVFR6N27N6ysrFCjRg20bdsW27dvL1EfycnJmDhxouI2Tr169TB27Fg8fPhQbXu5XI7Vq1ejVatWMDExgbm5OTw8PIr90ktMTISfnx8cHBwgkUhQu3ZtdOvWDaGhoUrtkpKSIBKJCn3t3LmzRNfHtLd37164u7vDxMQEEokE7u7uOHz4cLnGEBISApFIhI8//lilbuDAgSoJEwB07twZ3bp1w7Nnz3D9+nWluitXrgAAWrVqpVU82pxz7ty5EIlE2LNnj9o+f/vtN4hEIgQFBWkVU0kMGjQIDx48wJ9//lnm52KMVQ4iEfDbb4CNDRAdDSxcqOuISk5f1wGoExkZCW9vbxgaGmLIkCGwsLBAWFgYhg8fjqSkJMydO7fYPu7evYsOHTogJSUFnp6eGDx4MBISErBp0yYcPnwY586dg6Ojo6I9EWHQoEHYu3cvHB0dMW7cOOTk5GD//v3o168fVq1ahalTp6qc5/jx4+jfvz8A4KOPPkKjRo3w/PlzxMTE4MSJE/D19VU5xs3NTXFMQc2bN9f8h8S0kpeXh/HjxyMkJATdu3fH9OnTkZSUhN27d6N///64ePEiWrZsWeZxEBEiIyPh5OQES0vLEh1rYGAAANDXV/71vXz5MgDtEzVtzunq6goAuHHjBnx8fJTqsrKy4O/vj/r16+Pzzz8v9Zje1L59ewBAeHg4PD09y/x8jLHKoW5dYMMGoH9/YNkyYVHcrl11HVUJUAUjk8nI0dGRJBIJXblyRVGenp5OLi4upK+vT/Hx8cX206dPHwJAK1euVCrfvXs3ASBvb2+l8tDQUAJAHTt2pMzMTEV5amoqOTg4kEQiocTERKVjHjx4QObm5tSkSRO6f/++2mspKDExkQDQ6NGji41fE1KplACQVCotsl1WVhbdvHmTsrKyVCvlcqJXryr+Sy4vlZ/Z7NmzCQCFhIQolX/77bcEgMaNG1cq5ynOjRs3CAANHz68RMfdv3+fJBIJ1alTh3Jzc5XqXF1dCQA9fPiwNEMt8pyxsbEEgHx9fVWOCwoKUvuzLivp6ekEgLp06VIu5ytMkb9vjDGd8fMjAojq1yd69ky3sWj6/U1EVOEStaNHjxIAGjt2rErdzp07CQDNmTOnyD6ysrJIX1+fateuTXI1X/AtW7YkAHT37l1F2fDhwwkAHTp0SKX9ihUrCAAtXLhQqXzSpEkEgP7880+Nrq1CJmqvXgl/civ669Wrt/553b59mwwMDGjEiBEqdUlJSQSA2rZt+9bn0UT+n/OZM2dqfMzr16+pS5cuBIA2b96sVJf/Z97W1rZU4yzqnETCP0YkEgk1a9ZMqfzp06dkYWFBrq6ulJeXV6oxFcXIyIgaNWpUbudThxM1xiqmly+JGjcWvlIGDy61f/9rpSSJWoV7Ri0yMhIA4OXlpVKXX3by5Mki+3j69Clyc3Ph4OAAkUikUt+wYUMAQEREhKLsyZMnSnXq2oeHhyvKiAi7d+9GzZo10b17d1y+fBnLly/H999/jxMnTkAulxca399//41ffvkFQUFB2LRpE5KTk4u8nnw5OTlIT09XejHNbdmyBTKZDNOnT1epMzExAQDo6ekBEB6s9/T0hLW1NUQiEZKSklSO0aRNYZ4+fQoAsLKy0qi9XC7HJ598glOnTsHPzw8jR45Uqo+JiUFubm6p3vYs7pyAcCvUyckJCQkJkMlkivLAwEBIpVIsW7asXB/st7a2RlpaWrmdjzFWeZiaCkt26OkBu3YJ7yuDCveMWkJCAgCgSZMmKnVWVlawsbFRtCmMlZUV9PT0cP/+fRCRSrKWmJgIAIiPj1eU2draKuqcnZ2LbZ+YmIhnz56hTZs2mDx5MtauXat0jLu7Ow4cOID69eurxHf8+HEcP35c8VlfXx+fffZZsV9qQUFBWLRoUZHXXmImJsCrV6XbZ1n4N5F6G4cOHYKtrS1at26tUvfo0SMAUDy3mJGRgc6dO2PgwIH49NNP1fanSZvCGBsbAxCe4yoOEcHPzw9bt27FiBEjVP6sAW8/kUCbc+ZzdXXFtWvXEB8fDxcXFyQlJWHNmjXw8vJS+w+uspSVlaVIuhlj7E1t2wIBAcCCBcCUKUCnTkCDBrqOqhhlPLpXYp6engSAEhIS1NY3atSIDA0Ni+2ne/fuBIBWr16tVL53714CQABowoQJivLNmzcTAOrcubPSLYu0tDRq0KABAVA6719//UUASE9Pj0xNTSk4OJiePXtGiYmJ5OfnRwCoXbt2Sud+8uQJ+fv7U3R0NKWnp1NKSgodOHCAnJ2dCQD973//K/KasrOzSSqVKl4PHz58+1uf1URGRgaJxWJyd3dXWx8YGEgAKDg4WKn81q1bBEDl+cSStnnTmTNnCABNmjSpyHZ5eXk0duxYAkBDhw5VeUYsX/6fudDQUI1jeNtz5vvuu+8IAO3evZuIhMcIxGIxRUdHK7XL/zkdOHCA2rRpQ0ZGRtSjRw9KT0+nnTt3kpOTE5mamir9XuY/LrB69Wpq1qwZGRkZUbt27f6/vXsPi6ra/wf+HnAYUAYQELyhJIoXQEVETaXMJD1eCktMzSNyRD2aVuTJYx1ttMfMLMtH7bG8hGmpRFqnyzHTr7eyUpObt0QTNdEKCxhEgRE+vz/8MTHNcN8DM/B+Pc88j661Z+3PWsywP+y99l5y7tw5i3E7ODhISEhIncegLvh9I7JtBoPIwIF3L4EOHixSxa84q7DrOWpKJWqpqani6upqvHHgueeek7Fjx4qDg4Nx0vWsWbOM2xsMBnnggQcEgHTu3FnmzJkjM2fOFF9fX+P2Li4uxu2PHDliTPjefPNNs/33799fAMjXX39dZazXr18XLy8vcXJykj9qMMNRkTlqTUTZz6tr165mdTdv3hR/f39xd3eX/Px8kzprJWo5OTni4OAgDz74YIXblE+YHn/88UoTprCwMLN5l7VRk32W+fLLLwWA6HQ6SU5OFpVKZXEeZmJiojg6Osrf/vY3OXr0qHzzzTei1Wpl6NChMnXqVDl16pTxZp9jx46JiMh///tfASC9evWS7777TtLS0qRPnz4ybNgws/Z//PFHASCTJk2q0xjUFb9vRLbv4kURrfZusvbyy/W/f7tO1MaNGycA5IcffrBY7+3tXe0J02fPnpXx48dLq1atxMnJSXr06CEbNmyQ1157zeLNAYWFhbJ48WIJDAwUJycnadWqlcyYMUMyMjIEgHTo0MG4bdndbhUdHMvO0FhK4iz5+9//LgBkz5491dpehIlaTaxZs8b480pPTzeWGwwGmTx5ssWzryLWS9RE7t7U4u7ubvGGl5KSEpk6darxjsq/3kFcXnFxsTg5OYmHh0eN9l+XfZaXlZUlAGTcuHEybNgwcXFxkStXrpht98ILL0i7du1Er9cbyyIiImTw4MEmY+Dh4SGffvqpiIi89NJL0rx5c/nll1+M9YmJidK8eXOz9t977z0BIO+88061+2wN/L4R2Yf33rubqDVrJnL8eP3uuyaJms3NUSubm3b+/HmEhYWZ1OXk5ODGjRsYOHBgtdrq1q0bEhMTzcqnTp0KAGZzlTQaDXQ6HXQ6nUl52Q0O5bfv3LkzHB0dUVJSYvE5WGVl1ZmDBADe3t4A7i4DRMorm8M1atQoDBkyBJMmTYJGo8Fnn32GjIwMzJ49G08++WS9xhQVFYXFixfj+PHjZktIvfTSS9i8eTNcXV0RGBiIpUuXWnx/7969cerUKRQXF0Or1SIuLs7iviIiIhATE1NpPDXZZ3lt27aFl5cX/ve//+HWrVt4/vnn4efnZ/be9PR0jBs3Dlqt1liWlZWF559/3jiPVK/XIzc313gDT1paGiZNmgRfX1/je5ycnCAWFlTZu3cvHB0dMXr06Er7SUQEAH//O/D550BSEvDEE0ByMtCiRUNHZYH188aaKbuMUpfHc1RGr9eLp6eneHp6Vvsv3ri4OJM5OGUiIiIqvLw5e/ZsASDbtm2r1j4GDRokACQlJaVa24vwjFpN9OrVS3x8fKSgoECmT58u3t7e4uzsLOHh4fLBBx9U+D5rnlG7evWqODo6yty5c83qYmJijGcAK3qVzafbuHFjldu+9tprVcZTk33+1ZAhQwSAeHt7V/h59PPzMxnrvLw8UalUJmc4v/76a3FycjKezevcubOsWbPGpJ1FixbJgAEDTMoKCgrE1dVVoqKiquyntfH7RmQ/fv9dpF27u2fWZs6sv/3a9aVPg8EgnTp1Eo1GY5K0lH/gbfmJxNnZ2XL27FnJzs42aefWrVtml24KCwslOjpaAPMH4YqIxQFLSkoSBwcHCQ8PN5uvs23bNgEgDz74oBQWFhrLz549K82bNxetVmsy5+zo0aNSXFxsto+VK1cKAOnRo4fFy2AVYaJWPYWFhaJWqyUyMrLG77VmoiYiMnHiRPHy8pKbCjwnzpbl5OQIADl9+rSx7PDhw6LRaEy+p2vXrjXe8JGfny8qlUpWrVplrL9165a0bt1a1q1bZ9L+pk2bBIAcOnTIyj2pWlP/vhHZm//7vz8f2fn55/WzT7u+9NmsWTNs3LgRw4cPR0REBCZOnAg3Nzfs2rULmZmZWLp0KQIDA43br127FkuWLIFOp8PixYuN5SdOnMCjjz6KyMhI+Pn5Qa/X44svvsCVK1cwffp0zJ0712zf/fv3h5+fH7p37w5nZ2ccO3YMBw8eRKdOnZCUlGR8xlaZCRMmYNeuXfjoo4/Qq1cvDB8+HHl5edi5cycKCwuxZcsWk+dkzZ8/Hz/++CPuv/9++Pn54fbt2/juu++QkpKCli1bYuvWrRaf+0Z1c/LkSRgMhhotDfXHH3/gypUrxmejnTlzBrm5uejQoQM8PT2rvU1VXn75ZezatQtvvfUW5s+fX5Nu2ZW0tDQ4Ozuja9euxrLU1FQEBwebLEuVlpZm/DmdPHkSTk5O2LhxIwYNGgQnJyc888wz8Pf3N1nE/s6dO1i2bBkefvhh3HffffXWJyJqHIYOBeLjgTffBKZNA06durs2qM2oh8SxVo4ePSojRowQd3d3cXFxkb59+8r7779vtp1OpzPecVbe5cuXJTo6Wvz8/IwTrYcOHSofffRRhfvU6XQSEhIiWq1WnJ2dpXv37rJw4cJKM16DwSBvvPGGBAUFiUajETc3N3nooYfk4MGDZttu2LBBRowYIe3btxdnZ2dxdnaWrl27ytNPP12rZX94Rq163nnnHQFg8fNTkYSEhCov/VVnm+rYsWOHxRsZGpPVq1dL3759TcqmTZtmtmRXv379jGfQ1q1bJ2FhYbJ+/Xrx8fERrVYr06dPN7szNzMzU3Q6nVy4cMG6naimpv59I7JHt2+L9Ohx96zao49af9WCmpxRU4lYmJVLdkGv18Pd3R15eXlwc3OrcLvCwkJkZmbinnvugbOzcz1GaBvKHkh86tQpBAUFNXQ4VE2zZs1CYWEhEhISGjqUGmnq3zcie5WSAvTvDxgMwHvvAVOmWG9f1T1+A4DNLSFFpLR169ZBRJik2Zm0tDSEhIQ0dBhE1ESEht5dtQAA5swBLl9u0HCMmKgRkc0REZw8eRLBwcENHQoRNSHz5wP33gvk5wNTpwKVLNtdb5ioEZHNUalUyM/Pr/e1QomoaWvWDNiy5e7z1A4eBFatauiImKgRERERGXXuDLzxxt1/P//83btAGxITNSIiIqJypk8HRo0CiouByZOBoqKGi4WJGhEREVE5KhWwcSPg5XX3lZ/fcLHY3ANviYiIiBpa69bAd98BAQGAQwOe1mKiRkRERGRBly4NHQEvfTYpfLYxkfXxe0ZESmKi1gSUrVFqMBgaOBKixu/OnTsAYLKGKRFRbTFRawLUajU0Gg3y8vL41z6Rlen1ejg6Ohr/QCIiqgv+yddEeHt7IysrC1evXoW7uzvUajVUKlVDh0XUaIgICgoKoNfr0aZNG36/iEgRTNSaiLJFX2/cuIGsrKwGjoaocVKpVPDw8IC7u3tDh0JEjQQTtSbEzc0Nbm5uMBgMKCkpaehwiBodtVrNS55EpCgmak2QWq2GWq1u6DCIiIioCryZgIiIiMhGMVEjIiIislFM1IiIiIhsFBM1IiIiIhvFRI2IiIjIRjFRIyIiIrJRfDyHHStbDkqv1zdwJERERFRdZcft6izryETNjuXn5wMA/Pz8GjgSIiIiqqn8/PwqVzJRCVfptlulpaW4du0atFqt4usK6vV6+Pn54eeffzYuP0XWwbGuXxzv+sOxrj8c6/pV1/EWEeTn56Nt27ZwcKh8FhrPqNkxBwcHtG/f3qr7KFt2iqyPY12/ON71h2NdfzjW9asu413dNYF5MwERERGRjWKiRkRERGSjmKiRRRqNBjqdDhqNpqFDafQ41vWL411/ONb1h2Ndv+pzvHkzAREREZGN4hk1IiIiIhvFRI2IiIjIRjFRIyIiIrJRTNSIiIiIbBQTtSbk+PHjGDlyJFq2bIkWLVqgX79+2LZtW43aKC0txdq1a9GzZ0+4uLigVatWGD9+PM6fP2+lqO1TXcf6m2++wbx58xAWFgYvLy84OzujW7du+Pe//43c3FzrBW6HlPhcl2cwGNC7d2+oVCp069ZNwUgbB6XGOz8/HzqdDsHBwWjevDk8PDzQp08fLFmyxApR2yclxjo3NxcvvvgievbsCa1WC29vb4SHh2Pt2rUoLCy0UuT25f3338fMmTPRt29faDQaqFQqbN68ucbtWO34KNQkHDhwQJycnMTV1VXi4uJk3rx5cs899wgAefnll6vdzvTp0wWA9OjRQ5577jmZMmWKaDQacXd3l9OnT1uxB/ZDibH29fUVR0dHuf/+++WZZ56R+Ph4CQ0NFQASEBAgv/76q5V7YR+U+lyXt2jRImnRooUAkK5duyocsX1TarwvX74sAQEBolKpJDIyUubPny9PP/20jBo1SkJCQqzYA/uhxFjn5ORIp06dBIAMHjxY5s2bJ3PmzJGAgAABIEOHDpWSkhIr98T2dezYUQCIt7e38d8JCQk1bsdax0cmak2AwWCQgIAA0Wg0kpycbCzX6/USFBQkzZo1k4yMjCrb2b9/vwCQiIgIKSwsNJbv27dPVCqV3HfffVaJ354oNdbLly+Xa9eumZSVlpbKrFmzBIDMnj1b8djtjVJjXd6JEyekWbNmsnr1aiZqf6HUeN+5c0fCw8PFxcVF9u/fb3E/TZ1SY/3qq68KAImPjzcpLyoqkvDwcAEghw4dUjx+e7N37165dOmSiIi88sortUrUrHl8ZKLWBOzZs0cASGxsrFndjh07BIA8//zzVbYzceLECr/YI0aMEABy7tw5RWK2V0qNdUWuXbsmACQoKKguYTYKSo91UVGRhISEyODBg6W0tJSJ2l8oNd5l2y5atMgaYTYKSo31zJkzBYDs3bvXrO6FF14QAJKUlKRIzI1FbRM1ax4fOUetCTh48CAA4KGHHjKrKys7dOhQtdpp0aIFBg0aZFY3fPjwarfTmCk11hVRq9UAgGbNmtW6jcZC6bFevHgxzp8/j02bNkGlUikSY2Oi1HgnJiYCAKKjo/Hzzz/j7bffxvLly5GUlISbN28qF7AdU2qsg4KCAABffvmlSbnBYMC+ffvg4uKCe++9t47REmDd4yN/2zcBZRMZu3TpYlbXsmVLeHt7VznZsaCgANevX0dwcDAcHR3N6svabuo3FSgx1pV59913AVj+Bd7UKDnWx48fx4oVK7Bs2TIEBgYqGmdjodR4//DDDwDu3jATHx+PoqIiY12rVq3w4YcfYsiQIcoEbaeUGuu4uDhs3boVK1euxA8//IDw8HAUFRXhyy+/RE5ODrZt24Z27dopHn9TY+3jI8+oNQF5eXkAAHd3d4v1bm5uxm3q0kb57ZoqJca6IqmpqViyZAl8fHwwf/78WsfYWCg11kVFRZg6dSpCQ0Mxb948RWNsTJQa799++w0AMHfuXDzzzDP4+eefkZ2djdWrVyMvLw9RUVG4fv26coHbIaXG2sXFBQcPHsTkyZNx6NAhvP7661izZg1++uknTJo0CYMHD1Y07qbK2sdHJmpEdiAzMxOjR49GSUkJduzYAW9v74YOqdFYtGgRzp8/j3fffdfiX8OkrNLSUgDA6NGjsXz5crRv3x7e3t6YO3cu4uPjkZeXh02bNjVwlI3DjRs3EBkZie+//x5ffPEFcnNz8csvv+Dtt99GQkIC+vfvj5ycnIYOk6rARK0JKMvyK8rm9Xp9hX8J1KSN8ts1VUqM9V9dvnwZDzzwALKzs/HRRx/hgQceqHOcjYESY52cnIw33ngD//nPfxASEqJ4jI2JUp/tsm0efvhhs7oxY8YA+PPyaFOl1Fg/++yz+Pbbb7Fz506MHDkS7u7u8PX1xfTp07FixQpcvHgRq1atUjL0Jsnax0cmak1AZdfHc3JycOPGDYtzIcpr0aIF2rRpg8zMTJSUlJjVVzanoilRYqzLu3TpEoYMGYJr167hww8/xOjRoxWL1d4pMdbp6ekoKSnB4sWLoVKpTF4AcO7cOahUKnh4eCgev71R6rPdtWtXALA4pmVlt2/frn2gjYBSY/3FF1/A09MTPXv2NKsbOnQoAODEiRN1jJasfXxkotYE3H///QCAr776yqyurKxsm6raKSgowJEjR8zq9uzZU+12GjOlxhr4M0nLyspCYmIiHnnkEeUCbQSUGOvAwEBMmzbN4gu4+xfwtGnTMGXKFIWjtz9KfbbLEoQzZ86Y1ZWV+fv71zbMRkGpsS4uLoZer0dxcbFZXXZ2NgBAo9HUJVT6/6x6fKzVQz3IrhgMBunUqZNoNBpJSUkxlpd/eGL557tkZ2fL2bNnJTs726Sd8g/0KyoqMpbzgbd/UmqsMzMzpWPHjtKsWTPZuXNnfYVvV5Qa64qAz1EzodR4X7x4UTQajfj4+MjVq1dN2undu7cAkH379lm9P7ZMqbEePny4AJCFCxealBcWFhrr1qxZY9W+2JuqnqPWEMdHJmpNxP79+0WtVourq6tMnz7dZDmSpUuXmmyr0+kEgOh0OrN24uLiuIRUFZQY67JlTAYMGCA6nc7ii5T7XFvCRM2cUuNdtvKDl5eXxMXFyZNPPin+/v4CQGbMmFFPvbFtSox1SkqKaLVaASD9+vWT+Ph4mTVrlnFZqbCwMLl9+3Y99so2bdiwQWJiYiQmJkb69OkjAGTQoEHGso8//ti4bUMcH5moNSFHjx6VESNGiLu7u7i4uEjfvn3l/fffN9uusg9iSUmJrF69WoKCgkSj0YiXl5eMGzeuya9I8Fd1HWsAVb7oLiU+15YwUbNMqfH+9NNPJSIiQlxdXcXZ2VnCwsJk/fr1Vo7evigx1hkZGRIbGysdOnQQtVotLi4uEhISIkuWLJGCgoJ66IXti4mJqfR3bflxbYjjo0pEpHYXTYmIiIjImngzAREREZGNYqJGREREZKOYqBERERHZKCZqRERERDaKiRoRERGRjWKiRkRERGSjmKgRERER2SgmakREREQ2iokaERERNXqHDx/GmDFj0LZtW6hUKnzyySdW32dWVhYmT54MLy8vNG/eHL1798aJEydq1AYTNSIiImr0CgoK0KtXL6xdu7Ze9peTk4NBgwZBrVZj9+7dOHPmDFauXAkPD48atcMlpIiIiKhJUalU+PjjjxEVFWUsKy4uxsKFC/HBBx8gNzcXwcHBePXVVzFkyJBa7WPBggU4cuQIvv766zrFyjNqRNQkzJ8/HyqVCsePH2/oUBS3efNmqFQq42vChAkNHZKJCxcumMTn7+/f0CERmYmNjcWRI0ewY8cOpKenIzo6GiNGjMD58+dr1d6nn36Kvn37Ijo6Gj4+PggNDcWGDRtq3A4TNSJqNMqSsWPHjpnVJScnQ61Wo2fPng0QWc1U1o/KPPLII9DpdBg3bpyVIqsdT09P6HQ66HQ6uLu7N3Q4RGZ++uknbN++HUlJSYiIiEBAQAD+9a9/YfDgwUhISKhVmxcvXsS6devQpUsX7NmzB//85z/x1FNPYcuWLTVqp1mt9k5EZIOSk5Ph6OiIkJAQs7oNGzagtLQUGo2mASKrmcr6UZmoqChMnTrVOkHVgaenJxYvXgzg7tk/IluTnJwMEUFgYKBJeVFREby8vAAAly5dwj333FNpO08++aRxDlxpaSn69u2LZcuWAQBCQ0Nx+vRprFu3DlOmTKl2bEzUiKjRSE5ORrdu3eDi4mJWV9UvWFtSWT+ISHmlpaVwdHTEiRMn4OjoaFLn6uoKAGjXrh3Onj1baTstW7Y0/rtNmzbo0aOHSX337t2xc+fOGsXGS59EZPfmzp0LlUqFnJwcnD592mQ+1KVLl5CUlASVSoW33nrL5H1l5WvXrsXu3bsxZMgQaLVatG7dGgsWLEBpaSkAYPv27RgwYABcXV3h7++P1atXm8VQUlKCTZs2ISIiAu7u7nB2dkZ4eHiNHgFQVT/qYvfu3RgxYgQ6dOgAjUaDtm3bYtiwYdi+fXud+/HJJ59g1KhR8PHxgUajgb+/PyZPnlzlQY3IVoSGhqKkpAS//fYbOnfubPJq3bo1AECtVqNbt26Vvnx9fY1tDho0COfOnTPZT0ZGBjp27Fij2HhGjYjs3r333otff/0VSUlJGDlyJMLDwwEADg4O6Nixo3ECb+/evU3el5qaCgDYu3cvFi5ciDFjxiA0NBQffPABXn31VXTo0AEnT540JiJhYWHYsmULnn76aQQHB2Po0KEAgMLCQjz88MPYu3cv+vTpg9jYWBQWFiIpKQljx45FYmIixo8fX+d+1Nazzz6LN998E127dsWYMWOg1WqRlZWFAwcOIC0tDRMnTqxVP+7cuYOYmBhs27YNfn5+eOyxx+Dq6opz587hww8/RFxcHLp3717ruImUdPPmTVy4cMH4/8zMTKSmpsLT0xOBgYF44oknMGXKFKxcuRKhoaG4ceMG9u/fj5CQEIwcObLG+4uPj8fAgQOxbNkyjB8/HseOHcP69euxfv36mjUkRESNwLJlywSA7Nmzx6xu5MiRolKpJD8/36wcgPTo0UOuXLliLD98+LAAEK1WK/fdd5/8/vvvxrqtW7cKAFmwYIGxbMKECQJA3nrrLZP2r1y5Ih4eHhIYGKhIPyqSkJAgACQhIcGs7qeffhKVSiWPPfaYlJSUmNSVlJTIH3/8Uet+zJw5UwDIjBkzpKCgwKQuMzNTbt68aRZPx44dpWPHjtXuG5FSDhw4IADMXjExMSIiUlxcLC+++KL4+/uLWq2W1q1by9ixYyU9Pb3W+/zss88kODhYNBqNdOvWTdavX1/jNpioEVGjMH78eAEgv/76q1ldmzZtpEuXLhbLHRwc5NSpUyblubm5AkBcXV3l2rVrJnWpqakCQObMmSMiIvv27RMAMnv27Erj0uv1de5HRSpL1D7//HMBIDqdrtI2atqPsmR25MiRUlpaWu1YmagR1QwvfRJRo5CSkoK2bdvCx8fHpDw7OxvXr19HdHS0xfKIiAgEBQWZ1F2+fBkAMGbMGLRp08ak7urVqwAAPz8/ADDe4XXnzh3jnY3llT2DSar5bPGK+lFbPXv2hIuLC5YuXYqLFy/i8ccfx9ChQ81uVKhpP1atWgUAWLFiBVQqlSKxEpE5JmpEZPfK5p5YmkeSkpIC4O5kYUvlw4YNq/A9lurS0tIAAL169QIA7Nu3DwAqnXei1Wrh5uZWp37Ulp+fHw4dOoQXX3wR27dvx9atW+Hi4oLo6GisWLHCOPm5pv3Yu3cvOnfubJbkEpGyeNcnEdm9tLQ0iIhZMgb8mXT99UaCihI44O7jMQCgT58+FbbXp08f5Obm4ubNm3jkkUcgd6eSWHzp9fo696MuwsPDsXv3buTk5GDXrl0IDQ3Fli1b8I9//AMAatyP3Nxc5Ofnc4UBonrARI2I7F56ejqAP89ylVd2Z2dFd3xWlNxpNBqLZ4tSUlLQrl07tGrVyngZ8MaNG3WI/k+V9UMJrq6uGDt2LA4dOgStVmt8fEZN+1G2/W+//WaVOInoT0zUiMju/f777wD+fDBleampqfD19TWba5aamopWrVqhffv2JuUigtTUVAQHB0OtVpvU6fV6XLx40ZjctWzZEl26dMH333+P/fv3m+27qKgI33//vSL9qI3k5GTjfLvyDh48iPz8fAwYMABAzfvRsmVLBAQE4OTJkzh48KDZ9n99dhQR1R7nqBGR3StLnObOnYtx48ZBo9HgwQcfRFhYGDIyMhAZGWmy/a1bt5CRkWFxDtr58+eRn59v8bJnamoqRMSkbsWKFXjssccQGRmJUaNGoXv37igoKMDVq1dx+PBhPProo8aEqLb9iIiIqPZYlLd69Wps3boVAwcORI8ePeDh4YEzZ85g9+7daN++PZYvX17rfixbtgyPP/44IiMjERUVhYCAAPzyyy/49ttvERoaisTExFrFTESmmKgRkd0bNWoUXnnlFaxfvx6vv/467ty5g6CgIKSnp6O0tNTssmdZeWVz2iqbn1b+fVFRUThw4ABWrFiBI0eOYPfu3fDy8oKfnx9mzJiB2NjYOvejtqKiomAwGHDs2DGkpKTAYDDA398f8fHxWLBggXENw9r0Y/z48XBzc8Nrr72Gr776CoWFhfD19UW/fv3w1FNP1TpmIjKlkureM05ERDZp8+bNiI2NRUJCgk0uyl5e2Q0IdV0Si6ip4Bw1IqJGIjY2FiqVChMmTGjoUExcuHDBuGappTlzRFQxXvokIrJzvXv3hk6nM/4/ODi4AaMx5+npaRKfh4dHwwVDZGd46ZOIiIjIRvHSJxEREZGNYqJGREREZKOYqBERERHZKCZqRERERDaKiRoRERGRjWKiRkRERGSjmKgRERER2SgmakREREQ2iokaERERkY36f3MxeMded/XlAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "font_size = 14\n",
    "tick_font_size = 14\n",
    "\n",
    "\n",
    "### Resonance ###\n",
    "#PLot populations\n",
    "#plt.plot(time_res_v0*unit_Time, pop1_res_v0_1laser[0:len(time_res_v0)], \"-\", c=\"blue\", label=\"$\\\\rho_{11} ~(1L ~v0)$\")\n",
    "#plt.plot(time_res_v0*unit_Time, pop2_res_v0_1laser[0:len(time_res_v0)], \":\",c=\"blue\", label=\"$\\\\rho_{22} ~(1L ~v0)$\")\n",
    "plt.plot(time_res_v0*unit_Time, pop1_res_v0_2lasers[0:len(time_res_v0)], \"-\", c=\"blue\", label=\"$\\\\rho_{11} ~(2L ~v0)$\")\n",
    "plt.plot(time_res_v0*unit_Time, pop2_res_v0_2lasers[0:len(time_res_v0)], \":\",c=\"blue\", label=\"$\\\\rho_{22} ~(2L ~v0)$\")\n",
    "#plt.plot(time_res_0p1vmp*unit_Time, pop1_res_0p1vmp_1laser[0:len(time_res_0p1vmp)], \"-\", c=\"green\", label=\"$\\\\rho_{11} ~(1L ~0,1v_{mp})$\")\n",
    "#plt.plot(time_res_0p1vmp*unit_Time, pop2_res_0p1vmp_1laser[0:len(time_res_0p1vmp)], \":\",c=\"green\", label=\"$\\\\rho_{22} ~(1L ~0,1v_{mp})$\")\n",
    "plt.plot(time_res_0p1vmp*unit_Time, pop1_res_0p1vmp_2lasers[0:len(time_res_0p1vmp)], \"-\", c=\"green\", label=\"$\\\\rho_{11} ~(2L ~0,1v_{mp})$\")\n",
    "plt.plot(time_res_0p1vmp*unit_Time, pop2_res_0p1vmp_2lasers[0:len(time_res_0p1vmp)], \":\",c=\"green\", label=\"$\\\\rho_{22} ~(2L ~0,1v_{mp})$\")\n",
    "#plt.plot(time_res_vmp*unit_Time, pop1_res_vmp_1laser[0:len(time_res_vmp)], \"-\", c=\"yellow\", label=\"$\\\\rho_{11} ~(1L ~v_{mp})$\")\n",
    "#plt.plot(time_res_vmp*unit_Time, pop2_res_vmp_1laser[0:len(time_res_vmp)], \":\",c=\"yellow\", label=\"$\\\\rho_{22} ~(1L ~v_{mp})$\")\n",
    "plt.plot(time_res_vmp*unit_Time, pop1_res_vmp_2lasers[0:len(time_res_vmp)], \"-\", c=\"yellow\", label=\"$\\\\rho_{11} ~(2L ~v_{mp})$\")\n",
    "plt.plot(time_res_vmp*unit_Time, pop2_res_vmp_2lasers[0:len(time_res_vmp)], \":\",c=\"yellow\", label=\"$\\\\rho_{22} ~(2L ~v_{mp})$\")\n",
    "#plt.plot(time_res_2vmp*unit_Time, pop1_res_2vmp_1laser[0:len(time_res_2vmp)], \"-\", c=\"red\", label=\"$\\\\rho_{11} ~(1L ~2v_{mp})$\")\n",
    "#plt.plot(time_res_2vmp*unit_Time, pop2_res_2vmp_1laser[0:len(time_res_2vmp)], \":\",c=\"red\", label=\"$\\\\rho_{22} ~(1L ~2v_{mp})$\")\n",
    "plt.plot(time_res_2vmp*unit_Time, pop1_res_2vmp_2lasers[0:len(time_res_2vmp)], \"-\", c=\"red\", label=\"$\\\\rho_{11} ~(2L ~2v_{mp})$\")\n",
    "plt.plot(time_res_2vmp*unit_Time, pop2_res_2vmp_2lasers[0:len(time_res_2vmp)], \":\",c=\"red\", label=\"$\\\\rho_{22} ~(2L ~2v_{mp})$\")\n",
    "plt.xlabel(\"$time ~t ~[sec]$\", fontsize=font_size), plt.ylabel(\"Populations (at res)\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_PopulationsSingleMoleculeCavity_Resonance_vmp.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "#PLot population 1\n",
    "#plt.plot(time_res_v0*unit_Time, pop1_res_v0_1laser[0:len(time_res_v0)], \"-\", c=\"blue\", label=\"$\\\\rho_{11} ~(1L ~v0)$\")\n",
    "plt.plot(time_res_v0*unit_Time, pop1_res_v0_2lasers[0:len(time_res_v0)], \"-\", c=\"blue\", label=\"$\\\\rho_{11} ~(2L ~v0)$\")\n",
    "#plt.plot(time_res_0p1vmp*unit_Time, pop1_res_0p1vmp_1laser[0:len(time_res_0p1vmp)], \"-\", c=\"green\", label=\"$\\\\rho_{11} ~(1L ~0,1v_{mp})$\")\n",
    "plt.plot(time_res_0p1vmp*unit_Time, pop1_res_0p1vmp_2lasers[0:len(time_res_0p1vmp)], \"-\", c=\"green\", label=\"$\\\\rho_{11} ~(2L ~0,1v_{mp})$\")\n",
    "#plt.plot(time_res_vmp*unit_Time, pop1_res_vmp_1laser[0:len(time_res_vmp)], \"-\", c=\"yellow\", label=\"$\\\\rho_{11} ~(1L ~v_{mp})$\")\n",
    "plt.plot(time_res_vmp*unit_Time, pop1_res_vmp_2lasers[0:len(time_res_vmp)], \"-\", c=\"yellow\", label=\"$\\\\rho_{11} ~(2L ~v_{mp})$\")\n",
    "#plt.plot(time_res_2vmp*unit_Time, pop1_res_2vmp_1laser[0:len(time_res_2vmp)], \"-\", c=\"red\", label=\"$\\\\rho_{11} ~(1L ~2v_{mp})$\")\n",
    "plt.plot(time_res_2vmp*unit_Time, pop1_res_2vmp_2lasers[0:len(time_res_2vmp)], \"-\", c=\"red\", label=\"$\\\\rho_{11} ~(2L ~2v_{mp})$\")\n",
    "plt.xlabel(\"$time ~t ~[sec]$\", fontsize=font_size), plt.ylabel(\"Population 1 (at res)\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_Population1SingleMoleculeCavity_Resonance_vmp.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "#PLot population 2\n",
    "#plt.plot(time_res_v0*unit_Time, pop2_res_v0_1laser[0:len(time_res_v0)], \"-\",c=\"blue\", label=\"$\\\\rho_{22} ~(1L ~v0)$\")\n",
    "plt.plot(time_res_v0*unit_Time, pop2_res_v0_2lasers[0:len(time_res_v0)], \"-\",c=\"blue\", label=\"$\\\\rho_{22} ~(2L ~v0)$\")\n",
    "#plt.plot(time_res_0p1vmp*unit_Time, pop2_res_0p1vmp_1laser[0:len(time_res_0p1vmp)], \"-\",c=\"green\", label=\"$\\\\rho_{22} ~(1L ~0,1v_{mp})$\")\n",
    "plt.plot(time_res_0p1vmp*unit_Time, pop2_res_0p1vmp_2lasers[0:len(time_res_0p1vmp)], \"-\",c=\"green\", label=\"$\\\\rho_{22} ~(2L ~0,1v_{mp})$\")\n",
    "#plt.plot(time_res_vmp*unit_Time, pop2_res_vmp_1laser[0:len(time_res_vmp)], \"-\",c=\"yellow\", label=\"$\\\\rho_{22} ~(1L ~v_{mp})$\")\n",
    "plt.plot(time_res_vmp*unit_Time, pop2_res_vmp_2lasers[0:len(time_res_vmp)], \"-\",c=\"yellow\", label=\"$\\\\rho_{22} ~(2L ~v_{mp})$\")\n",
    "#plt.plot(time_res_2vmp*unit_Time, pop2_res_2vmp_1laser[0:len(time_res_2vmp)], \"-\",c=\"red\", label=\"$\\\\rho_{22} ~(1L ~2v_{mp})$\")\n",
    "plt.plot(time_res_2vmp*unit_Time, pop2_res_2vmp_2lasers[0:len(time_res_2vmp)], \"-\",c=\"red\", label=\"$\\\\rho_{22} ~(2L ~2v_{mp})$\")\n",
    "plt.xlabel(\"$time ~t ~[sec]$\", fontsize=font_size), plt.ylabel(\"Population 2 (at res)\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_Population2SingleMoleculeCavity_Resonance_vmp.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "### 1 kHz ###\n",
    "#PLot populations\n",
    "#plt.plot(time_1kHz_v0*unit_Time, pop1_1kHz_v0_1laser[0:len(time_1kHz_v0)], \"-\", c=\"blue\", label=\"$\\\\rho_{11} ~(1L ~v0)$\")\n",
    "#plt.plot(time_1kHz_v0*unit_Time, pop2_1kHz_v0_1laser[0:len(time_1kHz_v0)], \":\",c=\"blue\", label=\"$\\\\rho_{22} ~(1L ~v0)$\")\n",
    "plt.plot(time_1kHz_v0*unit_Time, pop1_1kHz_v0_2lasers[0:len(time_1kHz_v0)], \"-\", c=\"blue\", label=\"$\\\\rho_{11} ~(2L ~v0)$\")\n",
    "plt.plot(time_1kHz_v0*unit_Time, pop2_1kHz_v0_2lasers[0:len(time_1kHz_v0)], \":\",c=\"blue\", label=\"$\\\\rho_{22} ~(2L ~v0)$\")\n",
    "#plt.plot(time_1kHz_0p1vmp*unit_Time, pop1_1kHz_0p1vmp_1laser[0:len(time_1kHz_0p1vmp)], \"-\", c=\"green\", label=\"$\\\\rho_{11} ~(1L ~0,1v_{mp})$\")\n",
    "#plt.plot(time_1kHz_0p1vmp*unit_Time, pop2_1kHz_0p1vmp_1laser[0:len(time_1kHz_0p1vmp)], \":\",c=\"green\", label=\"$\\\\rho_{22} ~(1L ~0,1v_{mp})$\")\n",
    "plt.plot(time_1kHz_0p1vmp*unit_Time, pop1_1kHz_0p1vmp_2lasers[0:len(time_1kHz_0p1vmp)], \"-\", c=\"green\", label=\"$\\\\rho_{11} ~(2L ~0,1v_{mp})$\")\n",
    "plt.plot(time_1kHz_0p1vmp*unit_Time, pop2_1kHz_0p1vmp_2lasers[0:len(time_1kHz_0p1vmp)], \":\",c=\"green\", label=\"$\\\\rho_{22} ~(2L ~0,1v_{mp})$\")\n",
    "#plt.plot(time_1kHz_vmp*unit_Time, pop1_1kHz_vmp_1laser[0:len(time_1kHz_vmp)], \"-\", c=\"yellow\", label=\"$\\\\rho_{11} ~(1L ~v_{mp})$\")\n",
    "#plt.plot(time_1kHz_vmp*unit_Time, pop2_1kHz_vmp_1laser[0:len(time_1kHz_vmp)], \":\",c=\"yellow\", label=\"$\\\\rho_{22} ~(1L ~v_{mp})$\")\n",
    "plt.plot(time_1kHz_vmp*unit_Time, pop1_1kHz_vmp_2lasers[0:len(time_1kHz_vmp)], \"-\", c=\"yellow\", label=\"$\\\\rho_{11} ~(2L ~v_{mp})$\")\n",
    "plt.plot(time_1kHz_vmp*unit_Time, pop2_1kHz_vmp_2lasers[0:len(time_1kHz_vmp)], \":\",c=\"yellow\", label=\"$\\\\rho_{22} ~(2L ~v_{mp})$\")\n",
    "#plt.plot(time_1kHz_2vmp*unit_Time, pop1_1kHz_2vmp_1laser[0:len(time_1kHz_2vmp)], \"-\", c=\"red\", label=\"$\\\\rho_{11} ~(1L ~2v_{mp})$\")\n",
    "#plt.plot(time_1kHz_2vmp*unit_Time, pop2_1kHz_2vmp_1laser[0:len(time_1kHz_2vmp)], \":\",c=\"red\", label=\"$\\\\rho_{22} ~(1L ~2v_{mp})$\")\n",
    "plt.plot(time_1kHz_2vmp*unit_Time, pop1_1kHz_2vmp_2lasers[0:len(time_1kHz_2vmp)], \"-\", c=\"red\", label=\"$\\\\rho_{11} ~(2L ~2v_{mp})$\")\n",
    "plt.plot(time_1kHz_2vmp*unit_Time, pop2_1kHz_2vmp_2lasers[0:len(time_1kHz_2vmp)], \":\",c=\"red\", label=\"$\\\\rho_{22} ~(2L ~2v_{mp})$\")\n",
    "plt.xlabel(\"$time ~t ~[sec]$\", fontsize=font_size), plt.ylabel(\"Populations (at 1kHz)\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_PopulationsSingleMoleculeCavity_1kHz_vmp.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "#PLot population 1\n",
    "#plt.plot(time_1kHz_v0*unit_Time, pop1_1kHz_v0_1laser[0:len(time_1kHz_v0)], \"-\", c=\"blue\", label=\"$\\\\rho_{11} ~(1L ~v0)$\")\n",
    "plt.plot(time_1kHz_v0*unit_Time, pop1_1kHz_v0_2lasers[0:len(time_1kHz_v0)], \"-\", c=\"blue\", label=\"$\\\\rho_{11} ~(2L ~v0)$\")\n",
    "#plt.plot(time_1kHz_0p1vmp*unit_Time, pop1_1kHz_0p1vmp_1laser[0:len(time_1kHz_0p1vmp)], \"-\", c=\"green\", label=\"$\\\\rho_{11} ~(1L ~0,1v_{mp})$\")\n",
    "plt.plot(time_1kHz_0p1vmp*unit_Time, pop1_1kHz_0p1vmp_2lasers[0:len(time_1kHz_0p1vmp)], \"-\", c=\"green\", label=\"$\\\\rho_{11} ~(2L ~0,1v_{mp})$\")\n",
    "#plt.plot(time_1kHz_vmp*unit_Time, pop1_1kHz_vmp_1laser[0:len(time_1kHz_vmp)], \"-\", c=\"yellow\", label=\"$\\\\rho_{11} ~(1L ~v_{mp})$\")\n",
    "plt.plot(time_1kHz_vmp*unit_Time, pop1_1kHz_vmp_2lasers[0:len(time_1kHz_vmp)], \"-\", c=\"yellow\", label=\"$\\\\rho_{11} ~(2L ~v_{mp})$\")\n",
    "#plt.plot(time_1kHz_2vmp*unit_Time, pop1_1kHz_2vmp_1laser[0:len(time_1kHz_2vmp)], \"-\", c=\"red\", label=\"$\\\\rho_{11} ~(1L ~2v_{mp})$\")\n",
    "plt.plot(time_1kHz_2vmp*unit_Time, pop1_1kHz_2vmp_2lasers[0:len(time_1kHz_2vmp)], \"-\", c=\"red\", label=\"$\\\\rho_{11} ~(2L ~2v_{mp})$\")\n",
    "plt.xlabel(\"$time ~t ~[sec]$\", fontsize=font_size), plt.ylabel(\"Population 1 (at 1kHz)\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_Population1SingleMoleculeCavity_1kHz_vmp.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "#PLot population 2\n",
    "#plt.plot(time_1kHz_v0*unit_Time, pop2_1kHz_v0_1laser[0:len(time_1kHz_v0)], \"-\",c=\"blue\", label=\"$\\\\rho_{22} ~(1L ~v0)$\")\n",
    "plt.plot(time_1kHz_v0*unit_Time, pop2_1kHz_v0_2lasers[0:len(time_1kHz_v0)], \"-\",c=\"blue\", label=\"$\\\\rho_{22} ~(2L ~v0)$\")\n",
    "#plt.plot(time_1kHz_0p1vmp*unit_Time, pop2_1kHz_0p1vmp_1laser[0:len(time_1kHz_0p1vmp)], \"-\",c=\"green\", label=\"$\\\\rho_{22} ~(1L ~0,1v_{mp})$\")\n",
    "plt.plot(time_1kHz_0p1vmp*unit_Time, pop2_1kHz_0p1vmp_2lasers[0:len(time_1kHz_0p1vmp)], \"-\",c=\"green\", label=\"$\\\\rho_{22} ~(2L ~0,1v_{mp})$\")\n",
    "#plt.plot(time_1kHz_vmp*unit_Time, pop2_1kHz_vmp_1laser[0:len(time_1kHz_vmp)], \"-\",c=\"yellow\", label=\"$\\\\rho_{22} ~(1L ~v_{mp})$\")\n",
    "plt.plot(time_1kHz_vmp*unit_Time, pop2_1kHz_vmp_2lasers[0:len(time_1kHz_vmp)], \"-\",c=\"yellow\", label=\"$\\\\rho_{22} ~(2L ~v_{mp})$\")\n",
    "#plt.plot(time_1kHz_2vmp*unit_Time, pop2_1kHz_2vmp_1laser[0:len(time_1kHz_2vmp)], \"-\",c=\"red\", label=\"$\\\\rho_{22} ~(1L ~2v_{mp})$\")\n",
    "plt.plot(time_1kHz_2vmp*unit_Time, pop2_1kHz_2vmp_2lasers[0:len(time_1kHz_2vmp)], \"-\",c=\"red\", label=\"$\\\\rho_{22} ~(2L ~2v_{mp})$\")\n",
    "plt.xlabel(\"$time ~t ~[sec]$\", fontsize=font_size), plt.ylabel(\"Population 2 (at 1kHz)\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_Population2SingleMoleculeCavity_1kHz_vmp.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "### 1 MHz ###\n",
    "#PLot populations\n",
    "#plt.plot(time_1MHz_v0*unit_Time, pop1_1MHz_v0_1laser[0:len(time_1MHz_v0)], \"-\", c=\"blue\", label=\"$\\\\rho_{11} ~(1L ~v0)$\")\n",
    "#plt.plot(time_1MHz_v0*unit_Time, pop2_1MHz_v0_1laser[0:len(time_1MHz_v0)], \":\",c=\"blue\", label=\"$\\\\rho_{22} ~(1L ~v0)$\")\n",
    "plt.plot(time_1MHz_v0*unit_Time, pop1_1MHz_v0_2lasers[0:len(time_1MHz_v0)], \"-\", c=\"blue\", label=\"$\\\\rho_{11} ~(2L ~v0)$\")\n",
    "plt.plot(time_1MHz_v0*unit_Time, pop2_1MHz_v0_2lasers[0:len(time_1MHz_v0)], \":\",c=\"blue\", label=\"$\\\\rho_{22} ~(2L ~v0)$\")\n",
    "#plt.plot(time_1MHz_0p1vmp*unit_Time, pop1_1MHz_0p1vmp_1laser[0:len(time_1MHz_0p1vmp)], \"-\", c=\"green\", label=\"$\\\\rho_{11} ~(1L ~0,1v_{mp})$\")\n",
    "#plt.plot(time_1MHz_0p1vmp*unit_Time, pop2_1MHz_0p1vmp_1laser[0:len(time_1MHz_0p1vmp)], \":\",c=\"green\", label=\"$\\\\rho_{22} ~(1L ~0,1v_{mp})$\")\n",
    "plt.plot(time_1MHz_0p1vmp*unit_Time, pop1_1MHz_0p1vmp_2lasers[0:len(time_1MHz_0p1vmp)], \"-\", c=\"green\", label=\"$\\\\rho_{11} ~(2L ~0,1v_{mp})$\")\n",
    "plt.plot(time_1MHz_0p1vmp*unit_Time, pop2_1MHz_0p1vmp_2lasers[0:len(time_1MHz_0p1vmp)], \":\",c=\"green\", label=\"$\\\\rho_{22} ~(2L ~0,1v_{mp})$\")\n",
    "#plt.plot(time_1MHz_vmp*unit_Time, pop1_1MHz_vmp_1laser[0:len(time_1MHz_vmp)], \"-\", c=\"yellow\", label=\"$\\\\rho_{11} ~(1L ~v_{mp})$\")\n",
    "#plt.plot(time_1MHz_vmp*unit_Time, pop2_1MHz_vmp_1laser[0:len(time_1MHz_vmp)], \":\",c=\"yellow\", label=\"$\\\\rho_{22} ~(1L ~v_{mp})$\")\n",
    "plt.plot(time_1MHz_vmp*unit_Time, pop1_1MHz_vmp_2lasers[0:len(time_1MHz_vmp)], \"-\", c=\"yellow\", label=\"$\\\\rho_{11} ~(2L ~v_{mp})$\")\n",
    "plt.plot(time_1MHz_vmp*unit_Time, pop2_1MHz_vmp_2lasers[0:len(time_1MHz_vmp)], \":\",c=\"yellow\", label=\"$\\\\rho_{22} ~(2L ~v_{mp})$\")\n",
    "#plt.plot(time_1MHz_2vmp*unit_Time, pop1_1MHz_2vmp_1laser[0:len(time_1MHz_2vmp)], \"-\", c=\"red\", label=\"$\\\\rho_{11} ~(1L ~2v_{mp})$\")\n",
    "#plt.plot(time_1MHz_2vmp*unit_Time, pop2_1MHz_2vmp_1laser[0:len(time_1MHz_2vmp)], \":\",c=\"red\", label=\"$\\\\rho_{22} ~(1L ~2v_{mp})$\")\n",
    "plt.plot(time_1MHz_2vmp*unit_Time, pop1_1MHz_2vmp_2lasers[0:len(time_1MHz_2vmp)], \"-\", c=\"red\", label=\"$\\\\rho_{11} ~(2L ~2v_{mp})$\")\n",
    "plt.plot(time_1MHz_2vmp*unit_Time, pop2_1MHz_2vmp_2lasers[0:len(time_1MHz_2vmp)], \":\",c=\"red\", label=\"$\\\\rho_{22} ~(2L ~2v_{mp})$\")\n",
    "plt.xlabel(\"$time ~t ~[sec]$\", fontsize=font_size), plt.ylabel(\"Populations (at 1MHz)\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_PopulationsSingleMoleculeCavity_1MHz_vmp.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "#PLot population 1\n",
    "#plt.plot(time_1MHz_v0*unit_Time, pop1_1MHz_v0_1laser[0:len(time_1MHz_v0)], \"-\", c=\"blue\", label=\"$\\\\rho_{11} ~(1L ~v0)$\")\n",
    "plt.plot(time_1MHz_v0*unit_Time, pop1_1MHz_v0_2lasers[0:len(time_1MHz_v0)], \"-\", c=\"blue\", label=\"$\\\\rho_{11} ~(2L ~v0)$\")\n",
    "#plt.plot(time_1MHz_0p1vmp*unit_Time, pop1_1MHz_0p1vmp_1laser[0:len(time_1MHz_0p1vmp)], \"-\", c=\"green\", label=\"$\\\\rho_{11} ~(1L ~0,1v_{mp})$\")\n",
    "plt.plot(time_1MHz_0p1vmp*unit_Time, pop1_1MHz_0p1vmp_2lasers[0:len(time_1MHz_0p1vmp)], \"-\", c=\"green\", label=\"$\\\\rho_{11} ~(2L ~0,1v_{mp})$\")\n",
    "#plt.plot(time_1MHz_vmp*unit_Time, pop1_1MHz_vmp_1laser[0:len(time_1MHz_vmp)], \"-\", c=\"yellow\", label=\"$\\\\rho_{11} ~(1L ~v_{mp})$\")\n",
    "plt.plot(time_1MHz_vmp*unit_Time, pop1_1MHz_vmp_2lasers[0:len(time_1MHz_vmp)], \"-\", c=\"yellow\", label=\"$\\\\rho_{11} ~(2L ~v_{mp})$\")\n",
    "#plt.plot(time_1MHz_2vmp*unit_Time, pop1_1MHz_2vmp_1laser[0:len(time_1MHz_2vmp)], \"-\", c=\"red\", label=\"$\\\\rho_{11} ~(1L ~2v_{mp})$\")\n",
    "plt.plot(time_1MHz_2vmp*unit_Time, pop1_1MHz_2vmp_2lasers[0:len(time_1MHz_2vmp)], \"-\", c=\"red\", label=\"$\\\\rho_{11} ~(2L ~2v_{mp})$\")\n",
    "plt.xlabel(\"$time ~t ~[sec]$\", fontsize=font_size), plt.ylabel(\"Population 1 (at 1MHz)\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_Population1SingleMoleculeCavity_1MHz_vmp.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "#PLot population 2\n",
    "#plt.plot(time_1MHz_v0*unit_Time, pop2_1MHz_v0_1laser[0:len(time_1MHz_v0)], \"-\",c=\"blue\", label=\"$\\\\rho_{22} ~(1L ~v0)$\")\n",
    "plt.plot(time_1MHz_v0*unit_Time, pop2_1MHz_v0_2lasers[0:len(time_1MHz_v0)], \"-\",c=\"blue\", label=\"$\\\\rho_{22} ~(2L ~v0)$\")\n",
    "#plt.plot(time_1MHz_0p1vmp*unit_Time, pop2_1MHz_0p1vmp_1laser[0:len(time_1MHz_0p1vmp)], \"-\",c=\"green\", label=\"$\\\\rho_{22} ~(1L ~0,1v_{mp})$\")\n",
    "plt.plot(time_1MHz_0p1vmp*unit_Time, pop2_1MHz_0p1vmp_2lasers[0:len(time_1MHz_0p1vmp)], \"-\",c=\"green\", label=\"$\\\\rho_{22} ~(2L ~0,1v_{mp})$\")\n",
    "#plt.plot(time_1MHz_vmp*unit_Time, pop2_1MHz_vmp_1laser[0:len(time_1MHz_vmp)], \"-\",c=\"yellow\", label=\"$\\\\rho_{22} ~(1L ~v_{mp})$\")\n",
    "plt.plot(time_1MHz_vmp*unit_Time, pop2_1MHz_vmp_2lasers[0:len(time_1MHz_vmp)], \"-\",c=\"yellow\", label=\"$\\\\rho_{22} ~(2L ~v_{mp})$\")\n",
    "#plt.plot(time_1MHz_2vmp*unit_Time, pop2_1MHz_2vmp_1laser[0:len(time_1MHz_2vmp)], \"-\",c=\"red\", label=\"$\\\\rho_{22} ~(1L ~2v_{mp})$\")\n",
    "plt.plot(time_1MHz_2vmp*unit_Time, pop2_1MHz_2vmp_2lasers[0:len(time_1MHz_2vmp)], \"-\",c=\"red\", label=\"$\\\\rho_{22} ~(2L ~2v_{mp})$\")\n",
    "plt.xlabel(\"$time ~t ~[sec]$\", fontsize=font_size), plt.ylabel(\"Population 2 (at 1MHz)\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_Population2SingleMoleculeCavity_1MHz_vmp.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c909c409",
   "metadata": {},
   "source": [
    "## v ~ Doppler shift 1MHz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "3291a444",
   "metadata": {},
   "outputs": [],
   "source": [
    "omega_0 = HD.getAngularFrequency()\n",
    "\n",
    "### Velocity = 0 ###\n",
    "#Resonance\n",
    "rho_res_v0_1laser, rho_res_v0_2lasers, time_res_v0 = HD_spectrum.DensityMatrixEvolution_Cavity(omega_0, transit_time, 0)\n",
    "\n",
    "#Detuning 1 kHz\n",
    "delta_1kHz = 1e3 * unit_Time # Conversion from SI units to atomic units\n",
    "omega_1kHz = omega_0 + 2*np.pi*delta_1kHz\n",
    "rho_1kHz_v0_1laser, rho_1kHz_v0_2lasers, time_1kHz_v0 = HD_spectrum.DensityMatrixEvolution_Cavity(omega_1kHz, transit_time, 0)\n",
    "\n",
    "#Detuning 1 MHz\n",
    "delta_1MHz = 1e6 * unit_Time # Conversion from SI units to atomic units\n",
    "omega_1MHz = omega_0 + 2*np.pi*delta_1MHz\n",
    "rho_1MHz_v0_1laser, rho_1MHz_v0_2lasers, time_1MHz_v0 = HD_spectrum.DensityMatrixEvolution_Cavity(omega_1MHz, transit_time, 0)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "### Velocity = v_1MHz / 10 ###\n",
    "#Resonance\n",
    "rho_res_0p1v_1MHz_1laser, rho_res_0p1v_1MHz_2lasers, time_res_0p1v_1MHz = HD_spectrum.DensityMatrixEvolution_Cavity(omega_0, transit_time, v_1MHz/10)\n",
    "\n",
    "#Detuning 1 kHz\n",
    "delta_1kHz = 1e3 * unit_Time # Conversion from SI units to atomic units\n",
    "omega_1kHz = omega_0 + 2*np.pi*delta_1kHz\n",
    "rho_1kHz_0p1v_1MHz_1laser, rho_1kHz_0p1v_1MHz_2lasers, time_1kHz_0p1v_1MHz = HD_spectrum.DensityMatrixEvolution_Cavity(omega_1kHz, transit_time, v_1MHz/10)\n",
    "\n",
    "#Detuning 1 MHz\n",
    "delta_1MHz = 1e6 * unit_Time # Conversion from SI units to atomic units\n",
    "omega_1MHz = omega_0 + 2*np.pi*delta_1MHz\n",
    "rho_1MHz_0p1v_1MHz_1laser, rho_1MHz_0p1v_1MHz_2lasers, time_1MHz_0p1v_1MHz = HD_spectrum.DensityMatrixEvolution_Cavity(omega_1MHz, transit_time, v_1MHz/10)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "### Velocity = v_mp ###\n",
    "#Resonance\n",
    "rho_res_v_1MHz_1laser, rho_res_v_1MHz_2lasers, time_res_v_1MHz = HD_spectrum.DensityMatrixEvolution_Cavity(omega_0, transit_time, v_1MHz)\n",
    "\n",
    "#Detuning 1 kHz\n",
    "delta_1kHz = 1e3 * unit_Time # Conversion from SI units to atomic units\n",
    "omega_1kHz = omega_0 + 2*np.pi*delta_1kHz\n",
    "rho_1kHz_v_1MHz_1laser, rho_1kHz_v_1MHz_2lasers, time_1kHz_v_1MHz = HD_spectrum.DensityMatrixEvolution_Cavity(omega_1kHz, transit_time, v_1MHz)\n",
    "\n",
    "#Detuning 1 MHz\n",
    "delta_1MHz = 1e6 * unit_Time # Conversion from SI units to atomic units\n",
    "omega_1MHz = omega_0 + 2*np.pi*delta_1MHz\n",
    "rho_1MHz_v_1MHz_1laser, rho_1MHz_v_1MHz_2lasers, time_1MHz_v_1MHz = HD_spectrum.DensityMatrixEvolution_Cavity(omega_1MHz, transit_time, v_1MHz)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "### Velocity = 2 * v_mp ###\n",
    "#Resonance\n",
    "rho_res_2v_1MHz_1laser, rho_res_2v_1MHz_2lasers, time_res_2v_1MHz = HD_spectrum.DensityMatrixEvolution_Cavity(omega_0, transit_time, 2*v_1MHz)\n",
    "\n",
    "#Detuning 1 kHz\n",
    "delta_1kHz = 1e3 * unit_Time # Conversion from SI units to atomic units\n",
    "omega_1kHz = omega_0 + 2*np.pi*delta_1kHz\n",
    "rho_1kHz_2v_1MHz_1laser, rho_1kHz_2v_1MHz_2lasers, time_1kHz_2v_1MHz = HD_spectrum.DensityMatrixEvolution_Cavity(omega_1kHz, transit_time, 2*v_1MHz)\n",
    "\n",
    "#Detuning 1 MHz\n",
    "delta_1MHz = 1e6 * unit_Time # Conversion from SI units to atomic units\n",
    "omega_1MHz = omega_0 + 2*np.pi*delta_1MHz\n",
    "rho_1MHz_2v_1MHz_1laser, rho_1MHz_2v_1MHz_2lasers, time_1MHz_2v_1MHz = HD_spectrum.DensityMatrixEvolution_Cavity(omega_1MHz, transit_time, 2*v_1MHz)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "69755e41",
   "metadata": {},
   "outputs": [],
   "source": [
    "### velocity = 0 ###\n",
    "#Resonance\n",
    "L_res_v0_1laser = len(rho_res_v0_1laser.states)\n",
    "pop1_res_v0_1laser = np.zeros(L_res_v0_1laser)\n",
    "pop2_res_v0_1laser = np.zeros(L_res_v0_1laser)\n",
    "rho12_real_res_v0_1laser = np.zeros(L_res_v0_1laser)\n",
    "rho21_real_res_v0_1laser = np.zeros(L_res_v0_1laser)\n",
    "rho12_imag_res_v0_1laser = np.zeros(L_res_v0_1laser)\n",
    "rho21_imag_res_v0_1laser = np.zeros(L_res_v0_1laser)\n",
    "\n",
    "for i in range(0,L_res_v0_1laser):   \n",
    "    pop1_res_v0_1laser[i] = rho_res_v0_1laser.states[i].full()[0][0].real\n",
    "    pop2_res_v0_1laser[i] = rho_res_v0_1laser.states[i].full()[1][1].real\n",
    "    rho12_real_res_v0_1laser[i] = rho_res_v0_1laser.states[i].full()[0][1].real\n",
    "    rho21_real_res_v0_1laser[i] = rho_res_v0_1laser.states[i].full()[1][0].real\n",
    "    rho12_imag_res_v0_1laser[i] = rho_res_v0_1laser.states[i].full()[0][1].imag\n",
    "    rho21_imag_res_v0_1laser[i] = rho_res_v0_1laser.states[i].full()[1][0].imag\n",
    "    \n",
    "L_res_v0_2lasers = len(rho_res_v0_2lasers.states)\n",
    "pop1_res_v0_2lasers = np.zeros(L_res_v0_2lasers)\n",
    "pop2_res_v0_2lasers = np.zeros(L_res_v0_2lasers)\n",
    "rho12_real_res_v0_2lasers = np.zeros(L_res_v0_2lasers)\n",
    "rho21_real_res_v0_2lasers = np.zeros(L_res_v0_2lasers)\n",
    "rho12_imag_res_v0_2lasers = np.zeros(L_res_v0_2lasers)\n",
    "rho21_imag_res_v0_2lasers = np.zeros(L_res_v0_2lasers)\n",
    "\n",
    "for i in range(0,L_res_v0_2lasers):   \n",
    "    pop1_res_v0_2lasers[i] = rho_res_v0_2lasers.states[i].full()[0][0].real\n",
    "    pop2_res_v0_2lasers[i] = rho_res_v0_2lasers.states[i].full()[1][1].real\n",
    "    rho12_real_res_v0_2lasers[i] = rho_res_v0_2lasers.states[i].full()[0][1].real\n",
    "    rho21_real_res_v0_2lasers[i] = rho_res_v0_2lasers.states[i].full()[1][0].real\n",
    "    rho12_imag_res_v0_2lasers[i] = rho_res_v0_2lasers.states[i].full()[0][1].imag\n",
    "    rho21_imag_res_v0_2lasers[i] = rho_res_v0_2lasers.states[i].full()[1][0].imag\n",
    "    \n",
    "#Detuning 1 kHz\n",
    "L_1kHz_v0_1laser = len(rho_1kHz_v0_1laser.states)\n",
    "pop1_1kHz_v0_1laser = np.zeros(L_1kHz_v0_1laser)\n",
    "pop2_1kHz_v0_1laser = np.zeros(L_1kHz_v0_1laser)\n",
    "rho12_real_1kHz_v0_1laser = np.zeros(L_1kHz_v0_1laser)\n",
    "rho21_real_1kHz_v0_1laser = np.zeros(L_1kHz_v0_1laser)\n",
    "rho12_imag_1kHz_v0_1laser = np.zeros(L_1kHz_v0_1laser)\n",
    "rho21_imag_1kHz_v0_1laser = np.zeros(L_1kHz_v0_1laser)\n",
    "\n",
    "for i in range(0,L_1kHz_v0_1laser):   \n",
    "    pop1_1kHz_v0_1laser[i] = rho_1kHz_v0_1laser.states[i].full()[0][0].real\n",
    "    pop2_1kHz_v0_1laser[i] = rho_1kHz_v0_1laser.states[i].full()[1][1].real\n",
    "    rho12_real_1kHz_v0_1laser[i] = rho_1kHz_v0_1laser.states[i].full()[0][1].real\n",
    "    rho21_real_1kHz_v0_1laser[i] = rho_1kHz_v0_1laser.states[i].full()[1][0].real\n",
    "    rho12_imag_1kHz_v0_1laser[i] = rho_1kHz_v0_1laser.states[i].full()[0][1].imag\n",
    "    rho21_imag_1kHz_v0_1laser[i] = rho_1kHz_v0_1laser.states[i].full()[1][0].imag\n",
    "    \n",
    "L_1kHz_v0_2lasers = len(rho_1kHz_v0_2lasers.states)\n",
    "pop1_1kHz_v0_2lasers = np.zeros(L_1kHz_v0_2lasers)\n",
    "pop2_1kHz_v0_2lasers = np.zeros(L_1kHz_v0_2lasers)\n",
    "rho12_real_1kHz_v0_2lasers = np.zeros(L_1kHz_v0_2lasers)\n",
    "rho21_real_1kHz_v0_2lasers = np.zeros(L_1kHz_v0_2lasers)\n",
    "rho12_imag_1kHz_v0_2lasers = np.zeros(L_1kHz_v0_2lasers)\n",
    "rho21_imag_1kHz_v0_2lasers = np.zeros(L_1kHz_v0_2lasers)\n",
    "\n",
    "for i in range(0,L_1kHz_v0_2lasers):   \n",
    "    pop1_1kHz_v0_2lasers[i] = rho_1kHz_v0_2lasers.states[i].full()[0][0].real\n",
    "    pop2_1kHz_v0_2lasers[i] = rho_1kHz_v0_2lasers.states[i].full()[1][1].real\n",
    "    rho12_real_1kHz_v0_2lasers[i] = rho_1kHz_v0_2lasers.states[i].full()[0][1].real\n",
    "    rho21_real_1kHz_v0_2lasers[i] = rho_1kHz_v0_2lasers.states[i].full()[1][0].real\n",
    "    rho12_imag_1kHz_v0_2lasers[i] = rho_1kHz_v0_2lasers.states[i].full()[0][1].imag\n",
    "    rho21_imag_1kHz_v0_2lasers[i] = rho_1kHz_v0_2lasers.states[i].full()[1][0].imag\n",
    "\n",
    "#Detuning 1 MHz\n",
    "L_1MHz_v0_1laser = len(rho_1MHz_v0_1laser.states)\n",
    "pop1_1MHz_v0_1laser = np.zeros(L_1MHz_v0_1laser)\n",
    "pop2_1MHz_v0_1laser = np.zeros(L_1MHz_v0_1laser)\n",
    "rho12_real_1MHz_v0_1laser = np.zeros(L_1MHz_v0_1laser)\n",
    "rho21_real_1MHz_v0_1laser = np.zeros(L_1MHz_v0_1laser)\n",
    "rho12_imag_1MHz_v0_1laser = np.zeros(L_1MHz_v0_1laser)\n",
    "rho21_imag_1MHz_v0_1laser = np.zeros(L_1MHz_v0_1laser)\n",
    "\n",
    "for i in range(0,L_1MHz_v0_1laser):   \n",
    "    pop1_1MHz_v0_1laser[i] = rho_1MHz_v0_1laser.states[i].full()[0][0].real\n",
    "    pop2_1MHz_v0_1laser[i] = rho_1MHz_v0_1laser.states[i].full()[1][1].real\n",
    "    rho12_real_1MHz_v0_1laser[i] = rho_1MHz_v0_1laser.states[i].full()[0][1].real\n",
    "    rho21_real_1MHz_v0_1laser[i] = rho_1MHz_v0_1laser.states[i].full()[1][0].real\n",
    "    rho12_imag_1MHz_v0_1laser[i] = rho_1MHz_v0_1laser.states[i].full()[0][1].imag\n",
    "    rho21_imag_1MHz_v0_1laser[i] = rho_1MHz_v0_1laser.states[i].full()[1][0].imag\n",
    "    \n",
    "L_1MHz_v0_2lasers = len(rho_1MHz_v0_2lasers.states)\n",
    "pop1_1MHz_v0_2lasers = np.zeros(L_1MHz_v0_2lasers)\n",
    "pop2_1MHz_v0_2lasers = np.zeros(L_1MHz_v0_2lasers)\n",
    "rho12_real_1MHz_v0_2lasers = np.zeros(L_1MHz_v0_2lasers)\n",
    "rho21_real_1MHz_v0_2lasers = np.zeros(L_1MHz_v0_2lasers)\n",
    "rho12_imag_1MHz_v0_2lasers = np.zeros(L_1MHz_v0_2lasers)\n",
    "rho21_imag_1MHz_v0_2lasers = np.zeros(L_1MHz_v0_2lasers)\n",
    "\n",
    "for i in range(0,L_1MHz_v0_2lasers):   \n",
    "    pop1_1MHz_v0_2lasers[i] = rho_1MHz_v0_2lasers.states[i].full()[0][0].real\n",
    "    pop2_1MHz_v0_2lasers[i] = rho_1MHz_v0_2lasers.states[i].full()[1][1].real\n",
    "    rho12_real_1MHz_v0_2lasers[i] = rho_1MHz_v0_2lasers.states[i].full()[0][1].real\n",
    "    rho21_real_1MHz_v0_2lasers[i] = rho_1MHz_v0_2lasers.states[i].full()[1][0].real\n",
    "    rho12_imag_1MHz_v0_2lasers[i] = rho_1MHz_v0_2lasers.states[i].full()[0][1].imag\n",
    "    rho21_imag_1MHz_v0_2lasers[i] = rho_1MHz_v0_2lasers.states[i].full()[1][0].imag\n",
    "\n",
    "    \n",
    "    \n",
    "\n",
    "### velocity = v_mp/10 ###\n",
    "#Resonance\n",
    "L_res_0p1v_1MHz_1laser = len(rho_res_0p1v_1MHz_1laser.states)\n",
    "pop1_res_0p1v_1MHz_1laser = np.zeros(L_res_0p1v_1MHz_1laser)\n",
    "pop2_res_0p1v_1MHz_1laser = np.zeros(L_res_0p1v_1MHz_1laser)\n",
    "rho12_real_res_0p1v_1MHz_1laser = np.zeros(L_res_0p1v_1MHz_1laser)\n",
    "rho21_real_res_0p1v_1MHz_1laser = np.zeros(L_res_0p1v_1MHz_1laser)\n",
    "rho12_imag_res_0p1v_1MHz_1laser = np.zeros(L_res_0p1v_1MHz_1laser)\n",
    "rho21_imag_res_0p1v_1MHz_1laser = np.zeros(L_res_0p1v_1MHz_1laser)\n",
    "\n",
    "for i in range(0,L_res_0p1v_1MHz_1laser):   \n",
    "    pop1_res_0p1v_1MHz_1laser[i] = rho_res_0p1v_1MHz_1laser.states[i].full()[0][0].real\n",
    "    pop2_res_0p1v_1MHz_1laser[i] = rho_res_0p1v_1MHz_1laser.states[i].full()[1][1].real\n",
    "    rho12_real_res_0p1v_1MHz_1laser[i] = rho_res_0p1v_1MHz_1laser.states[i].full()[0][1].real\n",
    "    rho21_real_res_0p1v_1MHz_1laser[i] = rho_res_0p1v_1MHz_1laser.states[i].full()[1][0].real\n",
    "    rho12_imag_res_0p1v_1MHz_1laser[i] = rho_res_0p1v_1MHz_1laser.states[i].full()[0][1].imag\n",
    "    rho21_imag_res_0p1v_1MHz_1laser[i] = rho_res_0p1v_1MHz_1laser.states[i].full()[1][0].imag\n",
    "    \n",
    "L_res_0p1v_1MHz_2lasers = len(rho_res_0p1v_1MHz_2lasers.states)\n",
    "pop1_res_0p1v_1MHz_2lasers = np.zeros(L_res_0p1v_1MHz_2lasers)\n",
    "pop2_res_0p1v_1MHz_2lasers = np.zeros(L_res_0p1v_1MHz_2lasers)\n",
    "rho12_real_res_0p1v_1MHz_2lasers = np.zeros(L_res_0p1v_1MHz_2lasers)\n",
    "rho21_real_res_0p1v_1MHz_2lasers = np.zeros(L_res_0p1v_1MHz_2lasers)\n",
    "rho12_imag_res_0p1v_1MHz_2lasers = np.zeros(L_res_0p1v_1MHz_2lasers)\n",
    "rho21_imag_res_0p1v_1MHz_2lasers = np.zeros(L_res_0p1v_1MHz_2lasers)\n",
    "\n",
    "for i in range(0,L_res_0p1v_1MHz_2lasers):   \n",
    "    pop1_res_0p1v_1MHz_2lasers[i] = rho_res_0p1v_1MHz_2lasers.states[i].full()[0][0].real\n",
    "    pop2_res_0p1v_1MHz_2lasers[i] = rho_res_0p1v_1MHz_2lasers.states[i].full()[1][1].real\n",
    "    rho12_real_res_0p1v_1MHz_2lasers[i] = rho_res_0p1v_1MHz_2lasers.states[i].full()[0][1].real\n",
    "    rho21_real_res_0p1v_1MHz_2lasers[i] = rho_res_0p1v_1MHz_2lasers.states[i].full()[1][0].real\n",
    "    rho12_imag_res_0p1v_1MHz_2lasers[i] = rho_res_0p1v_1MHz_2lasers.states[i].full()[0][1].imag\n",
    "    rho21_imag_res_0p1v_1MHz_2lasers[i] = rho_res_0p1v_1MHz_2lasers.states[i].full()[1][0].imag\n",
    "    \n",
    "#Detuning 1 kHz\n",
    "L_1kHz_0p1v_1MHz_1laser = len(rho_1kHz_0p1v_1MHz_1laser.states)\n",
    "pop1_1kHz_0p1v_1MHz_1laser = np.zeros(L_1kHz_0p1v_1MHz_1laser)\n",
    "pop2_1kHz_0p1v_1MHz_1laser = np.zeros(L_1kHz_0p1v_1MHz_1laser)\n",
    "rho12_real_1kHz_0p1v_1MHz_1laser = np.zeros(L_1kHz_0p1v_1MHz_1laser)\n",
    "rho21_real_1kHz_0p1v_1MHz_1laser = np.zeros(L_1kHz_0p1v_1MHz_1laser)\n",
    "rho12_imag_1kHz_0p1v_1MHz_1laser = np.zeros(L_1kHz_0p1v_1MHz_1laser)\n",
    "rho21_imag_1kHz_0p1v_1MHz_1laser = np.zeros(L_1kHz_0p1v_1MHz_1laser)\n",
    "\n",
    "for i in range(0,L_1kHz_0p1v_1MHz_1laser):   \n",
    "    pop1_1kHz_0p1v_1MHz_1laser[i] = rho_1kHz_0p1v_1MHz_1laser.states[i].full()[0][0].real\n",
    "    pop2_1kHz_0p1v_1MHz_1laser[i] = rho_1kHz_0p1v_1MHz_1laser.states[i].full()[1][1].real\n",
    "    rho12_real_1kHz_0p1v_1MHz_1laser[i] = rho_1kHz_0p1v_1MHz_1laser.states[i].full()[0][1].real\n",
    "    rho21_real_1kHz_0p1v_1MHz_1laser[i] = rho_1kHz_0p1v_1MHz_1laser.states[i].full()[1][0].real\n",
    "    rho12_imag_1kHz_0p1v_1MHz_1laser[i] = rho_1kHz_0p1v_1MHz_1laser.states[i].full()[0][1].imag\n",
    "    rho21_imag_1kHz_0p1v_1MHz_1laser[i] = rho_1kHz_0p1v_1MHz_1laser.states[i].full()[1][0].imag\n",
    "    \n",
    "L_1kHz_0p1v_1MHz_2lasers = len(rho_1kHz_0p1v_1MHz_2lasers.states)\n",
    "pop1_1kHz_0p1v_1MHz_2lasers = np.zeros(L_1kHz_0p1v_1MHz_2lasers)\n",
    "pop2_1kHz_0p1v_1MHz_2lasers = np.zeros(L_1kHz_0p1v_1MHz_2lasers)\n",
    "rho12_real_1kHz_0p1v_1MHz_2lasers = np.zeros(L_1kHz_0p1v_1MHz_2lasers)\n",
    "rho21_real_1kHz_0p1v_1MHz_2lasers = np.zeros(L_1kHz_0p1v_1MHz_2lasers)\n",
    "rho12_imag_1kHz_0p1v_1MHz_2lasers = np.zeros(L_1kHz_0p1v_1MHz_2lasers)\n",
    "rho21_imag_1kHz_0p1v_1MHz_2lasers = np.zeros(L_1kHz_0p1v_1MHz_2lasers)\n",
    "\n",
    "for i in range(0,L_1kHz_0p1v_1MHz_2lasers):   \n",
    "    pop1_1kHz_0p1v_1MHz_2lasers[i] = rho_1kHz_0p1v_1MHz_2lasers.states[i].full()[0][0].real\n",
    "    pop2_1kHz_0p1v_1MHz_2lasers[i] = rho_1kHz_0p1v_1MHz_2lasers.states[i].full()[1][1].real\n",
    "    rho12_real_1kHz_0p1v_1MHz_2lasers[i] = rho_1kHz_0p1v_1MHz_2lasers.states[i].full()[0][1].real\n",
    "    rho21_real_1kHz_0p1v_1MHz_2lasers[i] = rho_1kHz_0p1v_1MHz_2lasers.states[i].full()[1][0].real\n",
    "    rho12_imag_1kHz_0p1v_1MHz_2lasers[i] = rho_1kHz_0p1v_1MHz_2lasers.states[i].full()[0][1].imag\n",
    "    rho21_imag_1kHz_0p1v_1MHz_2lasers[i] = rho_1kHz_0p1v_1MHz_2lasers.states[i].full()[1][0].imag\n",
    "    \n",
    "#Detuning 1 MHz\n",
    "L_1MHz_0p1v_1MHz_1laser = len(rho_1MHz_0p1v_1MHz_1laser.states)\n",
    "pop1_1MHz_0p1v_1MHz_1laser = np.zeros(L_1MHz_0p1v_1MHz_1laser)\n",
    "pop2_1MHz_0p1v_1MHz_1laser = np.zeros(L_1MHz_0p1v_1MHz_1laser)\n",
    "rho12_real_1MHz_0p1v_1MHz_1laser = np.zeros(L_1MHz_0p1v_1MHz_1laser)\n",
    "rho21_real_1MHz_0p1v_1MHz_1laser = np.zeros(L_1MHz_0p1v_1MHz_1laser)\n",
    "rho12_imag_1MHz_0p1v_1MHz_1laser = np.zeros(L_1MHz_0p1v_1MHz_1laser)\n",
    "rho21_imag_1MHz_0p1v_1MHz_1laser = np.zeros(L_1MHz_0p1v_1MHz_1laser)\n",
    "\n",
    "for i in range(0,L_1MHz_0p1v_1MHz_1laser):   \n",
    "    pop1_1MHz_0p1v_1MHz_1laser[i] = rho_1MHz_0p1v_1MHz_1laser.states[i].full()[0][0].real\n",
    "    pop2_1MHz_0p1v_1MHz_1laser[i] = rho_1MHz_0p1v_1MHz_1laser.states[i].full()[1][1].real\n",
    "    rho12_real_1MHz_0p1v_1MHz_1laser[i] = rho_1MHz_0p1v_1MHz_1laser.states[i].full()[0][1].real\n",
    "    rho21_real_1MHz_0p1v_1MHz_1laser[i] = rho_1MHz_0p1v_1MHz_1laser.states[i].full()[1][0].real\n",
    "    rho12_imag_1MHz_0p1v_1MHz_1laser[i] = rho_1MHz_0p1v_1MHz_1laser.states[i].full()[0][1].imag\n",
    "    rho21_imag_1MHz_0p1v_1MHz_1laser[i] = rho_1MHz_0p1v_1MHz_1laser.states[i].full()[1][0].imag\n",
    "    \n",
    "L_1MHz_0p1v_1MHz_2lasers = len(rho_1MHz_0p1v_1MHz_2lasers.states)\n",
    "pop1_1MHz_0p1v_1MHz_2lasers = np.zeros(L_1MHz_0p1v_1MHz_2lasers)\n",
    "pop2_1MHz_0p1v_1MHz_2lasers = np.zeros(L_1MHz_0p1v_1MHz_2lasers)\n",
    "rho12_real_1MHz_0p1v_1MHz_2lasers = np.zeros(L_1MHz_0p1v_1MHz_2lasers)\n",
    "rho21_real_1MHz_0p1v_1MHz_2lasers = np.zeros(L_1MHz_0p1v_1MHz_2lasers)\n",
    "rho12_imag_1MHz_0p1v_1MHz_2lasers = np.zeros(L_1MHz_0p1v_1MHz_2lasers)\n",
    "rho21_imag_1MHz_0p1v_1MHz_2lasers = np.zeros(L_1MHz_0p1v_1MHz_2lasers)\n",
    "\n",
    "for i in range(0,L_1MHz_0p1v_1MHz_2lasers):   \n",
    "    pop1_1MHz_0p1v_1MHz_2lasers[i] = rho_1MHz_0p1v_1MHz_2lasers.states[i].full()[0][0].real\n",
    "    pop2_1MHz_0p1v_1MHz_2lasers[i] = rho_1MHz_0p1v_1MHz_2lasers.states[i].full()[1][1].real\n",
    "    rho12_real_1MHz_0p1v_1MHz_2lasers[i] = rho_1MHz_0p1v_1MHz_2lasers.states[i].full()[0][1].real\n",
    "    rho21_real_1MHz_0p1v_1MHz_2lasers[i] = rho_1MHz_0p1v_1MHz_2lasers.states[i].full()[1][0].real\n",
    "    rho12_imag_1MHz_0p1v_1MHz_2lasers[i] = rho_1MHz_0p1v_1MHz_2lasers.states[i].full()[0][1].imag\n",
    "    rho21_imag_1MHz_0p1v_1MHz_2lasers[i] = rho_1MHz_0p1v_1MHz_2lasers.states[i].full()[1][0].imag\n",
    "    \n",
    "\n",
    "    \n",
    "    \n",
    "### velocity = v_mp ###\n",
    "#Resonance\n",
    "L_res_v_1MHz_1laser  = len(rho_res_v_1MHz_1laser.states)\n",
    "pop1_res_v_1MHz_1laser = np.zeros(L_res_v_1MHz_1laser)\n",
    "pop2_res_v_1MHz_1laser = np.zeros(L_res_v_1MHz_1laser)\n",
    "rho12_real_res_v_1MHz_1laser = np.zeros(L_res_v_1MHz_1laser)\n",
    "rho21_real_res_v_1MHz_1laser = np.zeros(L_res_v_1MHz_1laser)\n",
    "rho12_imag_res_v_1MHz_1laser = np.zeros(L_res_v_1MHz_1laser)\n",
    "rho21_imag_res_v_1MHz_1laser = np.zeros(L_res_v_1MHz_1laser)\n",
    "\n",
    "for i in range(0,L_res_v_1MHz_1laser):   \n",
    "    pop1_res_v_1MHz_1laser[i] = rho_res_v_1MHz_1laser.states[i].full()[0][0].real\n",
    "    pop2_res_v_1MHz_1laser[i] = rho_res_v_1MHz_1laser.states[i].full()[1][1].real\n",
    "    rho12_real_res_v_1MHz_1laser[i] = rho_res_v_1MHz_1laser.states[i].full()[0][1].real\n",
    "    rho21_real_res_v_1MHz_1laser[i] = rho_res_v_1MHz_1laser.states[i].full()[1][0].real\n",
    "    rho12_imag_res_v_1MHz_1laser[i] = rho_res_v_1MHz_1laser.states[i].full()[0][1].imag\n",
    "    rho21_imag_res_v_1MHz_1laser[i] = rho_res_v_1MHz_1laser.states[i].full()[1][0].imag\n",
    "    \n",
    "L_res_v_1MHz_2lasers  = len(rho_res_v_1MHz_2lasers.states)\n",
    "pop1_res_v_1MHz_2lasers = np.zeros(L_res_v_1MHz_2lasers)\n",
    "pop2_res_v_1MHz_2lasers = np.zeros(L_res_v_1MHz_2lasers)\n",
    "rho12_real_res_v_1MHz_2lasers = np.zeros(L_res_v_1MHz_2lasers)\n",
    "rho21_real_res_v_1MHz_2lasers = np.zeros(L_res_v_1MHz_2lasers)\n",
    "rho12_imag_res_v_1MHz_2lasers = np.zeros(L_res_v_1MHz_2lasers)\n",
    "rho21_imag_res_v_1MHz_2lasers = np.zeros(L_res_v_1MHz_2lasers)\n",
    "\n",
    "for i in range(0,L_res_v_1MHz_2lasers):   \n",
    "    pop1_res_v_1MHz_2lasers[i] = rho_res_v_1MHz_2lasers.states[i].full()[0][0].real\n",
    "    pop2_res_v_1MHz_2lasers[i] = rho_res_v_1MHz_2lasers.states[i].full()[1][1].real\n",
    "    rho12_real_res_v_1MHz_2lasers[i] = rho_res_v_1MHz_2lasers.states[i].full()[0][1].real\n",
    "    rho21_real_res_v_1MHz_2lasers[i] = rho_res_v_1MHz_2lasers.states[i].full()[1][0].real\n",
    "    rho12_imag_res_v_1MHz_2lasers[i] = rho_res_v_1MHz_2lasers.states[i].full()[0][1].imag\n",
    "    rho21_imag_res_v_1MHz_2lasers[i] = rho_res_v_1MHz_2lasers.states[i].full()[1][0].imag\n",
    "    \n",
    "#Detuning 1 kHz\n",
    "L_1kHz_v_1MHz_1laser = len(rho_1kHz_v_1MHz_1laser.states)\n",
    "pop1_1kHz_v_1MHz_1laser = np.zeros(L_1kHz_v_1MHz_1laser)\n",
    "pop2_1kHz_v_1MHz_1laser = np.zeros(L_1kHz_v_1MHz_1laser)\n",
    "rho12_real_1kHz_v_1MHz_1laser = np.zeros(L_1kHz_v_1MHz_1laser)\n",
    "rho21_real_1kHz_v_1MHz_1laser = np.zeros(L_1kHz_v_1MHz_1laser)\n",
    "rho12_imag_1kHz_v_1MHz_1laser = np.zeros(L_1kHz_v_1MHz_1laser)\n",
    "rho21_imag_1kHz_v_1MHz_1laser = np.zeros(L_1kHz_v_1MHz_1laser)\n",
    "\n",
    "for i in range(0,L_1kHz_v_1MHz_1laser):   \n",
    "    pop1_1kHz_v_1MHz_1laser[i] = rho_1kHz_v_1MHz_1laser.states[i].full()[0][0].real\n",
    "    pop2_1kHz_v_1MHz_1laser[i] = rho_1kHz_v_1MHz_1laser.states[i].full()[1][1].real\n",
    "    rho12_real_1kHz_v_1MHz_1laser[i] = rho_1kHz_v_1MHz_1laser.states[i].full()[0][1].real\n",
    "    rho21_real_1kHz_v_1MHz_1laser[i] = rho_1kHz_v_1MHz_1laser.states[i].full()[1][0].real\n",
    "    rho12_imag_1kHz_v_1MHz_1laser[i] = rho_1kHz_v_1MHz_1laser.states[i].full()[0][1].imag\n",
    "    rho21_imag_1kHz_v_1MHz_1laser[i] = rho_1kHz_v_1MHz_1laser.states[i].full()[1][0].imag\n",
    "    \n",
    "L_1kHz_v_1MHz_2lasers = len(rho_1kHz_v_1MHz_2lasers.states)\n",
    "pop1_1kHz_v_1MHz_2lasers = np.zeros(L_1kHz_v_1MHz_2lasers)\n",
    "pop2_1kHz_v_1MHz_2lasers = np.zeros(L_1kHz_v_1MHz_2lasers)\n",
    "rho12_real_1kHz_v_1MHz_2lasers = np.zeros(L_1kHz_v_1MHz_2lasers)\n",
    "rho21_real_1kHz_v_1MHz_2lasers = np.zeros(L_1kHz_v_1MHz_2lasers)\n",
    "rho12_imag_1kHz_v_1MHz_2lasers = np.zeros(L_1kHz_v_1MHz_2lasers)\n",
    "rho21_imag_1kHz_v_1MHz_2lasers = np.zeros(L_1kHz_v_1MHz_2lasers)\n",
    "\n",
    "for i in range(0,L_1kHz_v_1MHz_2lasers):   \n",
    "    pop1_1kHz_v_1MHz_2lasers[i] = rho_1kHz_v_1MHz_2lasers.states[i].full()[0][0].real\n",
    "    pop2_1kHz_v_1MHz_2lasers[i] = rho_1kHz_v_1MHz_2lasers.states[i].full()[1][1].real\n",
    "    rho12_real_1kHz_v_1MHz_2lasers[i] = rho_1kHz_v_1MHz_2lasers.states[i].full()[0][1].real\n",
    "    rho21_real_1kHz_v_1MHz_2lasers[i] = rho_1kHz_v_1MHz_2lasers.states[i].full()[1][0].real\n",
    "    rho12_imag_1kHz_v_1MHz_2lasers[i] = rho_1kHz_v_1MHz_2lasers.states[i].full()[0][1].imag\n",
    "    rho21_imag_1kHz_v_1MHz_2lasers[i] = rho_1kHz_v_1MHz_2lasers.states[i].full()[1][0].imag\n",
    "    \n",
    "#Detuning 1 MHz\n",
    "L_1MHz_v_1MHz_1laser = len(rho_1MHz_v_1MHz_1laser.states)\n",
    "pop1_1MHz_v_1MHz_1laser = np.zeros(L_1MHz_v_1MHz_1laser)\n",
    "pop2_1MHz_v_1MHz_1laser = np.zeros(L_1MHz_v_1MHz_1laser)\n",
    "rho12_real_1MHz_v_1MHz_1laser = np.zeros(L_1MHz_v_1MHz_1laser)\n",
    "rho21_real_1MHz_v_1MHz_1laser = np.zeros(L_1MHz_v_1MHz_1laser)\n",
    "rho12_imag_1MHz_v_1MHz_1laser = np.zeros(L_1MHz_v_1MHz_1laser)\n",
    "rho21_imag_1MHz_v_1MHz_1laser = np.zeros(L_1MHz_v_1MHz_1laser)\n",
    "\n",
    "for i in range(0,L_1MHz_v_1MHz_1laser):   \n",
    "    pop1_1MHz_v_1MHz_1laser[i] = rho_1MHz_v_1MHz_1laser.states[i].full()[0][0].real\n",
    "    pop2_1MHz_v_1MHz_1laser[i] = rho_1MHz_v_1MHz_1laser.states[i].full()[1][1].real\n",
    "    rho12_real_1MHz_v_1MHz_1laser[i] = rho_1MHz_v_1MHz_1laser.states[i].full()[0][1].real\n",
    "    rho21_real_1MHz_v_1MHz_1laser[i] = rho_1MHz_v_1MHz_1laser.states[i].full()[1][0].real\n",
    "    rho12_imag_1MHz_v_1MHz_1laser[i] = rho_1MHz_v_1MHz_1laser.states[i].full()[0][1].imag\n",
    "    rho21_imag_1MHz_v_1MHz_1laser[i] = rho_1MHz_v_1MHz_1laser.states[i].full()[1][0].imag\n",
    "    \n",
    "L_1MHz_v_1MHz_2lasers = len(rho_1MHz_v_1MHz_2lasers.states)\n",
    "pop1_1MHz_v_1MHz_2lasers = np.zeros(L_1MHz_v_1MHz_2lasers)\n",
    "pop2_1MHz_v_1MHz_2lasers = np.zeros(L_1MHz_v_1MHz_2lasers)\n",
    "rho12_real_1MHz_v_1MHz_2lasers = np.zeros(L_1MHz_v_1MHz_2lasers)\n",
    "rho21_real_1MHz_v_1MHz_2lasers = np.zeros(L_1MHz_v_1MHz_2lasers)\n",
    "rho12_imag_1MHz_v_1MHz_2lasers = np.zeros(L_1MHz_v_1MHz_2lasers)\n",
    "rho21_imag_1MHz_v_1MHz_2lasers = np.zeros(L_1MHz_v_1MHz_2lasers)\n",
    "\n",
    "for i in range(0,L_1MHz_v_1MHz_2lasers):   \n",
    "    pop1_1MHz_v_1MHz_2lasers[i] = rho_1MHz_v_1MHz_2lasers.states[i].full()[0][0].real\n",
    "    pop2_1MHz_v_1MHz_2lasers[i] = rho_1MHz_v_1MHz_2lasers.states[i].full()[1][1].real\n",
    "    rho12_real_1MHz_v_1MHz_2lasers[i] = rho_1MHz_v_1MHz_2lasers.states[i].full()[0][1].real\n",
    "    rho21_real_1MHz_v_1MHz_2lasers[i] = rho_1MHz_v_1MHz_2lasers.states[i].full()[1][0].real\n",
    "    rho12_imag_1MHz_v_1MHz_2lasers[i] = rho_1MHz_v_1MHz_2lasers.states[i].full()[0][1].imag\n",
    "    rho21_imag_1MHz_v_1MHz_2lasers[i] = rho_1MHz_v_1MHz_2lasers.states[i].full()[1][0].imag\n",
    "    \n",
    "    \n",
    "    \n",
    "    \n",
    "### velocity = 2*v_mp ###\n",
    "#Resonance\n",
    "L_res_2v_1MHz_1laser = len(rho_res_2v_1MHz_1laser.states)\n",
    "pop1_res_2v_1MHz_1laser = np.zeros(L_res_2v_1MHz_1laser)\n",
    "pop2_res_2v_1MHz_1laser = np.zeros(L_res_2v_1MHz_1laser)\n",
    "rho12_real_res_2v_1MHz_1laser = np.zeros(L_res_2v_1MHz_1laser)\n",
    "rho21_real_res_2v_1MHz_1laser = np.zeros(L_res_2v_1MHz_1laser)\n",
    "rho12_imag_res_2v_1MHz_1laser = np.zeros(L_res_2v_1MHz_1laser)\n",
    "rho21_imag_res_2v_1MHz_1laser = np.zeros(L_res_2v_1MHz_1laser)\n",
    "\n",
    "for i in range(0,L_res_2v_1MHz_1laser):   \n",
    "    pop1_res_2v_1MHz_1laser[i] = rho_res_2v_1MHz_1laser.states[i].full()[0][0].real\n",
    "    pop2_res_2v_1MHz_1laser[i] = rho_res_2v_1MHz_1laser.states[i].full()[1][1].real\n",
    "    rho12_real_res_2v_1MHz_1laser[i] = rho_res_2v_1MHz_1laser.states[i].full()[0][1].real\n",
    "    rho21_real_res_2v_1MHz_1laser[i] = rho_res_2v_1MHz_1laser.states[i].full()[1][0].real\n",
    "    rho12_imag_res_2v_1MHz_1laser[i] = rho_res_2v_1MHz_1laser.states[i].full()[0][1].imag\n",
    "    rho21_imag_res_2v_1MHz_1laser[i] = rho_res_2v_1MHz_1laser.states[i].full()[1][0].imag\n",
    "    \n",
    "L_res_2v_1MHz_2lasers = len(rho_res_2v_1MHz_2lasers.states)\n",
    "pop1_res_2v_1MHz_2lasers = np.zeros(L_res_2v_1MHz_2lasers)\n",
    "pop2_res_2v_1MHz_2lasers = np.zeros(L_res_2v_1MHz_2lasers)\n",
    "rho12_real_res_2v_1MHz_2lasers = np.zeros(L_res_2v_1MHz_2lasers)\n",
    "rho21_real_res_2v_1MHz_2lasers = np.zeros(L_res_2v_1MHz_2lasers)\n",
    "rho12_imag_res_2v_1MHz_2lasers = np.zeros(L_res_2v_1MHz_2lasers)\n",
    "rho21_imag_res_2v_1MHz_2lasers = np.zeros(L_res_2v_1MHz_2lasers)\n",
    "\n",
    "for i in range(0,L_res_2v_1MHz_2lasers):   \n",
    "    pop1_res_2v_1MHz_2lasers[i] = rho_res_2v_1MHz_2lasers.states[i].full()[0][0].real\n",
    "    pop2_res_2v_1MHz_2lasers[i] = rho_res_2v_1MHz_2lasers.states[i].full()[1][1].real\n",
    "    rho12_real_res_2v_1MHz_2lasers[i] = rho_res_2v_1MHz_2lasers.states[i].full()[0][1].real\n",
    "    rho21_real_res_2v_1MHz_2lasers[i] = rho_res_2v_1MHz_2lasers.states[i].full()[1][0].real\n",
    "    rho12_imag_res_2v_1MHz_2lasers[i] = rho_res_2v_1MHz_2lasers.states[i].full()[0][1].imag\n",
    "    rho21_imag_res_2v_1MHz_2lasers[i] = rho_res_2v_1MHz_2lasers.states[i].full()[1][0].imag\n",
    "    \n",
    "#Detuning 1 kHz\n",
    "L_1kHz_2v_1MHz_1laser = len(rho_1kHz_2v_1MHz_1laser.states)\n",
    "pop1_1kHz_2v_1MHz_1laser = np.zeros(L_1kHz_2v_1MHz_1laser)\n",
    "pop2_1kHz_2v_1MHz_1laser = np.zeros(L_1kHz_2v_1MHz_1laser)\n",
    "rho12_real_1kHz_2v_1MHz_1laser = np.zeros(L_1kHz_2v_1MHz_1laser)\n",
    "rho21_real_1kHz_2v_1MHz_1laser = np.zeros(L_1kHz_2v_1MHz_1laser)\n",
    "rho12_imag_1kHz_2v_1MHz_1laser = np.zeros(L_1kHz_2v_1MHz_1laser)\n",
    "rho21_imag_1kHz_2v_1MHz_1laser = np.zeros(L_1kHz_2v_1MHz_1laser)\n",
    "\n",
    "for i in range(0,L_1kHz_2v_1MHz_1laser):   \n",
    "    pop1_1kHz_2v_1MHz_1laser[i] = rho_1kHz_2v_1MHz_1laser.states[i].full()[0][0].real\n",
    "    pop2_1kHz_2v_1MHz_1laser[i] = rho_1kHz_2v_1MHz_1laser.states[i].full()[1][1].real\n",
    "    rho12_real_1kHz_2v_1MHz_1laser[i] = rho_1kHz_2v_1MHz_1laser.states[i].full()[0][1].real\n",
    "    rho21_real_1kHz_2v_1MHz_1laser[i] = rho_1kHz_2v_1MHz_1laser.states[i].full()[1][0].real\n",
    "    rho12_imag_1kHz_2v_1MHz_1laser[i] = rho_1kHz_2v_1MHz_1laser.states[i].full()[0][1].imag\n",
    "    rho21_imag_1kHz_2v_1MHz_1laser[i] = rho_1kHz_2v_1MHz_1laser.states[i].full()[1][0].imag\n",
    "    \n",
    "L_1kHz_2v_1MHz_2lasers = len(rho_1kHz_2v_1MHz_2lasers.states)\n",
    "pop1_1kHz_2v_1MHz_2lasers = np.zeros(L_1kHz_2v_1MHz_2lasers)\n",
    "pop2_1kHz_2v_1MHz_2lasers = np.zeros(L_1kHz_2v_1MHz_2lasers)\n",
    "rho12_real_1kHz_2v_1MHz_2lasers = np.zeros(L_1kHz_2v_1MHz_2lasers)\n",
    "rho21_real_1kHz_2v_1MHz_2lasers = np.zeros(L_1kHz_2v_1MHz_2lasers)\n",
    "rho12_imag_1kHz_2v_1MHz_2lasers = np.zeros(L_1kHz_2v_1MHz_2lasers)\n",
    "rho21_imag_1kHz_2v_1MHz_2lasers = np.zeros(L_1kHz_2v_1MHz_2lasers)\n",
    "\n",
    "for i in range(0,L_1kHz_2v_1MHz_2lasers):   \n",
    "    pop1_1kHz_2v_1MHz_2lasers[i] = rho_1kHz_2v_1MHz_2lasers.states[i].full()[0][0].real\n",
    "    pop2_1kHz_2v_1MHz_2lasers[i] = rho_1kHz_2v_1MHz_2lasers.states[i].full()[1][1].real\n",
    "    rho12_real_1kHz_2v_1MHz_2lasers[i] = rho_1kHz_2v_1MHz_2lasers.states[i].full()[0][1].real\n",
    "    rho21_real_1kHz_2v_1MHz_2lasers[i] = rho_1kHz_2v_1MHz_2lasers.states[i].full()[1][0].real\n",
    "    rho12_imag_1kHz_2v_1MHz_2lasers[i] = rho_1kHz_2v_1MHz_2lasers.states[i].full()[0][1].imag\n",
    "    rho21_imag_1kHz_2v_1MHz_2lasers[i] = rho_1kHz_2v_1MHz_2lasers.states[i].full()[1][0].imag\n",
    "    \n",
    "#Detuning 1 MHz\n",
    "L_1MHz_2v_1MHz_1laser = len(rho_1MHz_2v_1MHz_1laser.states)\n",
    "pop1_1MHz_2v_1MHz_1laser = np.zeros(L_1MHz_2v_1MHz_1laser)\n",
    "pop2_1MHz_2v_1MHz_1laser = np.zeros(L_1MHz_2v_1MHz_1laser)\n",
    "rho12_real_1MHz_2v_1MHz_1laser = np.zeros(L_1MHz_2v_1MHz_1laser)\n",
    "rho21_real_1MHz_2v_1MHz_1laser = np.zeros(L_1MHz_2v_1MHz_1laser)\n",
    "rho12_imag_1MHz_2v_1MHz_1laser = np.zeros(L_1MHz_2v_1MHz_1laser)\n",
    "rho21_imag_1MHz_2v_1MHz_1laser = np.zeros(L_1MHz_2v_1MHz_1laser)\n",
    "\n",
    "for i in range(0,L_1MHz_2v_1MHz_1laser):   \n",
    "    pop1_1MHz_2v_1MHz_1laser[i] = rho_1MHz_2v_1MHz_1laser.states[i].full()[0][0].real\n",
    "    pop2_1MHz_2v_1MHz_1laser[i] = rho_1MHz_2v_1MHz_1laser.states[i].full()[1][1].real\n",
    "    rho12_real_1MHz_2v_1MHz_1laser[i] = rho_1MHz_2v_1MHz_1laser.states[i].full()[0][1].real\n",
    "    rho21_real_1MHz_2v_1MHz_1laser[i] = rho_1MHz_2v_1MHz_1laser.states[i].full()[1][0].real\n",
    "    rho12_imag_1MHz_2v_1MHz_1laser[i] = rho_1MHz_2v_1MHz_1laser.states[i].full()[0][1].imag\n",
    "    rho21_imag_1MHz_2v_1MHz_1laser[i] = rho_1MHz_2v_1MHz_1laser.states[i].full()[1][0].imag\n",
    "    \n",
    "L_1MHz_2v_1MHz_2lasers = len(rho_1MHz_2v_1MHz_2lasers.states)\n",
    "pop1_1MHz_2v_1MHz_2lasers = np.zeros(L_1MHz_2v_1MHz_2lasers)\n",
    "pop2_1MHz_2v_1MHz_2lasers = np.zeros(L_1MHz_2v_1MHz_2lasers)\n",
    "rho12_real_1MHz_2v_1MHz_2lasers = np.zeros(L_1MHz_2v_1MHz_2lasers)\n",
    "rho21_real_1MHz_2v_1MHz_2lasers = np.zeros(L_1MHz_2v_1MHz_2lasers)\n",
    "rho12_imag_1MHz_2v_1MHz_2lasers = np.zeros(L_1MHz_2v_1MHz_2lasers)\n",
    "rho21_imag_1MHz_2v_1MHz_2lasers = np.zeros(L_1MHz_2v_1MHz_2lasers)\n",
    "\n",
    "for i in range(0,L_1MHz_2v_1MHz_2lasers):   \n",
    "    pop1_1MHz_2v_1MHz_2lasers[i] = rho_1MHz_2v_1MHz_2lasers.states[i].full()[0][0].real\n",
    "    pop2_1MHz_2v_1MHz_2lasers[i] = rho_1MHz_2v_1MHz_2lasers.states[i].full()[1][1].real\n",
    "    rho12_real_1MHz_2v_1MHz_2lasers[i] = rho_1MHz_2v_1MHz_2lasers.states[i].full()[0][1].real\n",
    "    rho21_real_1MHz_2v_1MHz_2lasers[i] = rho_1MHz_2v_1MHz_2lasers.states[i].full()[1][0].real\n",
    "    rho12_imag_1MHz_2v_1MHz_2lasers[i] = rho_1MHz_2v_1MHz_2lasers.states[i].full()[0][1].imag\n",
    "    rho21_imag_1MHz_2v_1MHz_2lasers[i] = rho_1MHz_2v_1MHz_2lasers.states[i].full()[1][0].imag"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "d2c9b044",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "font_size = 14\n",
    "tick_font_size = 14\n",
    "\n",
    "\n",
    "### Resonance ###\n",
    "#PLot populations\n",
    "#plt.plot(time_res_v0*unit_Time, pop1_res_v0_1laser[0:len(time_res_v0)], \"-\", c=\"blue\", label=\"$\\\\rho_{11} ~(1L ~v0)$\")\n",
    "#plt.plot(time_res_v0*unit_Time, pop2_res_v0_1laser[0:len(time_res_v0)], \":\",c=\"blue\", label=\"$\\\\rho_{22} ~(1L ~v0)$\")\n",
    "plt.plot(time_res_v0*unit_Time, pop1_res_v0_2lasers[0:len(time_res_v0)], \"-\", c=\"blue\", label=\"$\\\\rho_{11} ~(v = 0)$\")\n",
    "plt.plot(time_res_v0*unit_Time, pop2_res_v0_2lasers[0:len(time_res_v0)], \":\",c=\"blue\", label=\"$\\\\rho_{22} ~(v = 0)$\")\n",
    "#plt.plot(time_res_0p1v_1MHz*unit_Time, pop1_res_0p1v_1MHz_1laser[0:len(time_res_0p1v_1MHz)], \"-\", c=\"green\", label=\"$\\\\rho_{11} ~(1L ~0,1v_{1MHz})$\")\n",
    "#plt.plot(time_res_0p1v_1MHz*unit_Time, pop2_res_0p1v_1MHz_1laser[0:len(time_res_0p1v_1MHz)], \":\",c=\"green\", label=\"$\\\\rho_{22} ~(1L ~0,1v_{1MHz})$\")\n",
    "plt.plot(time_res_0p1v_1MHz*unit_Time, pop1_res_0p1v_1MHz_2lasers[0:len(time_res_0p1v_1MHz)], \"-\", c=\"green\", label=\"$\\\\rho_{11} ~(0.1v_{1MHz})$\")\n",
    "plt.plot(time_res_0p1v_1MHz*unit_Time, pop2_res_0p1v_1MHz_2lasers[0:len(time_res_0p1v_1MHz)], \":\",c=\"green\", label=\"$\\\\rho_{22} ~(0.1v_{1MHz})$\")\n",
    "#plt.plot(time_res_v_1MHz*unit_Time, pop1_res_v_1MHz_1laser[0:len(time_res_v_1MHz)], \"-\", c=\"yellow\", label=\"$\\\\rho_{11} ~(1L ~v_{1MHz})$\")\n",
    "#plt.plot(time_res_v_1MHz*unit_Time, pop2_res_v_1MHz_1laser[0:len(time_res_v_1MHz)], \":\",c=\"yellow\", label=\"$\\\\rho_{22} ~(1L ~v_{1MHz})$\")\n",
    "plt.plot(time_res_v_1MHz*unit_Time, pop1_res_v_1MHz_2lasers[0:len(time_res_v_1MHz)], \"-\", c=\"y\", label=\"$\\\\rho_{11} ~(v_{1MHz})$\")\n",
    "plt.plot(time_res_v_1MHz*unit_Time, pop2_res_v_1MHz_2lasers[0:len(time_res_v_1MHz)], \":\",c=\"y\", label=\"$\\\\rho_{22} ~(v_{1MHz})$\")\n",
    "#plt.plot(time_res_2v_1MHz*unit_Time, pop1_res_v_1MHz_1laser[0:len(time_res_2v_1MHz)], \"-\", c=\"red\", label=\"$\\\\rho_{11} ~(1L ~2v_{1MHz})$\")\n",
    "#plt.plot(time_res_2v_1MHz*unit_Time, pop2_res_v_1MHz_1laser[0:len(time_res_2v_1MHz)], \":\",c=\"red\", label=\"$\\\\rho_{22} ~(1L ~2v_{1MHz})$\")\n",
    "plt.plot(time_res_2v_1MHz*unit_Time, pop1_res_2v_1MHz_2lasers[0:len(time_res_2v_1MHz)], \"-\", c=\"red\", label=\"$\\\\rho_{11} ~(2v_{1MHz})$\")\n",
    "plt.plot(time_res_2v_1MHz*unit_Time, pop2_res_2v_1MHz_2lasers[0:len(time_res_2v_1MHz)], \":\",c=\"red\", label=\"$\\\\rho_{22} ~(2v_{1MHz})$\")\n",
    "plt.xlabel(\"$time ~t ~[sec]$\", fontsize=font_size), plt.ylabel(\"Populations (at res)\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_PopulationsSingleMoleculeCavity_Resonance_v1MHz.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "#PLot population 1\n",
    "#plt.plot(time_res_v0*unit_Time, pop1_res_v0_1laser[0:len(time_res_v0)], \"-\", c=\"blue\", label=\"$\\\\rho_{11} ~(1L ~v0)$\")\n",
    "plt.plot(time_res_v0*unit_Time, pop1_res_v0_2lasers[0:len(time_res_v0)], \"-\", c=\"blue\", label=\"$\\\\rho_{11} ~(v = 0)$\")\n",
    "#plt.plot(time_res_0p1v_1MHz*unit_Time, pop1_res_0p1v_1MHz_1laser[0:len(time_res_0p1v_1MHz)], \"-\", c=\"green\", label=\"$\\\\rho_{11} ~(1L ~0,1v_{1MHz})$\")\n",
    "plt.plot(time_res_0p1v_1MHz*unit_Time, pop1_res_0p1v_1MHz_2lasers[0:len(time_res_0p1v_1MHz)], \"-\", c=\"green\", label=\"$\\\\rho_{11} ~(0.1v_{1MHz})$\")\n",
    "#plt.plot(time_res_v_1MHz*unit_Time, pop1_res_v_1MHz_1laser[0:len(time_res_v_1MHz)], \"-\", c=\"yellow\", label=\"$\\\\rho_{11} ~(1L ~v_{1MHz})$\")\n",
    "plt.plot(time_res_v_1MHz*unit_Time, pop1_res_v_1MHz_2lasers[0:len(time_res_v_1MHz)], \"-\", c=\"y\", label=\"$\\\\rho_{11} ~(v_{1MHz})$\")\n",
    "#plt.plot(time_res_2v_1MHz*unit_Time, pop1_res_2v_1MHz_1laser[0:len(time_res_2v_1MHz)], \"-\", c=\"red\", label=\"$\\\\rho_{11} ~(1L ~2v_{1MHz})$\")\n",
    "plt.plot(time_res_2v_1MHz*unit_Time, pop1_res_2v_1MHz_2lasers[0:len(time_res_2v_1MHz)], \"-\", c=\"red\", label=\"$\\\\rho_{11} ~(2v_{1MHz})$\")\n",
    "plt.xlabel(\"$time ~t ~[sec]$\", fontsize=font_size), plt.ylabel(\"Population 1 (at res)\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_Population1SingleMoleculeCavity_Resonance_v1MHz.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "#PLot population 2\n",
    "#plt.plot(time_res_v0*unit_Time, pop2_res_v0_1laser[0:len(time_res_v0)], \"-\",c=\"blue\", label=\"$\\\\rho_{22} ~(1L ~v0)$\")\n",
    "plt.plot(time_res_v0*unit_Time, pop2_res_v0_2lasers[0:len(time_res_v0)], \"-\",c=\"blue\", label=\"$\\\\rho_{22} ~(v = 0)$\")\n",
    "#plt.plot(time_res_0p1v_1MHz*unit_Time, pop2_res_0p1v_1MHz_1laser[0:len(time_res_0p1v_1MHz)], \"-\",c=\"green\", label=\"$\\\\rho_{22} ~(1L ~0,1v_{1MHz})$\")\n",
    "plt.plot(time_res_0p1v_1MHz*unit_Time, pop2_res_0p1v_1MHz_2lasers[0:len(time_res_0p1v_1MHz)], \"-\",c=\"green\", label=\"$\\\\rho_{22} ~(0.1v_{1MHz})$\")\n",
    "#plt.plot(time_res_v_1MHz*unit_Time, pop2_res_v_1MHz_1laser[0:len(time_res_v_1MHz)], \"-\",c=\"yellow\", label=\"$\\\\rho_{22} ~(1L ~v_{1MHz})$\")\n",
    "plt.plot(time_res_v_1MHz*unit_Time, pop2_res_v_1MHz_2lasers[0:len(time_res_v_1MHz)], \"-\",c=\"y\", label=\"$\\\\rho_{22} ~(v_{1MHz})$\")\n",
    "#plt.plot(time_res_2v_1MHz*unit_Time, pop2_res_2v_1MHz_1laser[0:len(time_res_2v_1MHz)], \"-\",c=\"red\", label=\"$\\\\rho_{22} ~(1L ~2v_{1MHz})$\")\n",
    "plt.plot(time_res_2v_1MHz*unit_Time, pop2_res_2v_1MHz_2lasers[0:len(time_res_2v_1MHz)], \"-\",c=\"red\", label=\"$\\\\rho_{22} ~(2v_{1MHz})$\")\n",
    "plt.xlabel(\"$time ~t ~[sec]$\", fontsize=font_size), plt.ylabel(\"Population 2 (at res)\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_Population2SingleMoleculeCavity_Resonance_v1MHz.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "### 1 kHz ###\n",
    "#PLot populations\n",
    "#plt.plot(time_1kHz_v0*unit_Time, pop1_1kHz_v0_1laser[0:len(time_1kHz_v0)], \"-\", c=\"blue\", label=\"$\\\\rho_{11} ~(1L ~v0)$\")\n",
    "#plt.plot(time_1kHz_v0*unit_Time, pop2_1kHz_v0_1laser[0:len(time_1kHz_v0)], \":\",c=\"blue\", label=\"$\\\\rho_{22} ~(1L ~v0)$\")\n",
    "plt.plot(time_1kHz_v0*unit_Time, pop1_1kHz_v0_2lasers[0:len(time_1kHz_v0)], \"-\", c=\"blue\", label=\"$\\\\rho_{11} ~(v = 0)$\")\n",
    "plt.plot(time_1kHz_v0*unit_Time, pop2_1kHz_v0_2lasers[0:len(time_1kHz_v0)], \":\",c=\"blue\", label=\"$\\\\rho_{22} ~(v = 0)$\")\n",
    "#plt.plot(time_1kHz_0p1v_1MHz*unit_Time, pop1_1kHz_0p1v_1MHz_1laser[0:len(time_1kHz_0p1v_1MHz)], \"-\", c=\"green\", label=\"$\\\\rho_{11} ~(1L ~0,1v_{1MHz})$\")\n",
    "#plt.plot(time_1kHz_0p1v_1MHz*unit_Time, pop2_1kHz_0p1v_1MHz_1laser[0:len(time_1kHz_0p1v_1MHz)], \":\",c=\"green\", label=\"$\\\\rho_{22} ~(1L ~0,1v_{1MHz})$\")\n",
    "plt.plot(time_1kHz_0p1v_1MHz*unit_Time, pop1_1kHz_0p1v_1MHz_2lasers[0:len(time_1kHz_0p1v_1MHz)], \"-\", c=\"green\", label=\"$\\\\rho_{11} ~(0.1v_{1MHz})$\")\n",
    "plt.plot(time_1kHz_0p1v_1MHz*unit_Time, pop2_1kHz_0p1v_1MHz_2lasers[0:len(time_1kHz_0p1v_1MHz)], \":\",c=\"green\", label=\"$\\\\rho_{22} ~(0.1v_{1MHz})$\")\n",
    "#plt.plot(time_1kHz_v_1MHz*unit_Time, pop1_1kHz_v_1MHz_1laser[0:len(time_1kHz_v_1MHz)], \"-\", c=\"yellow\", label=\"$\\\\rho_{11} ~(1L ~v_{1MHz})$\")\n",
    "#plt.plot(time_1kHz_v_1MHz*unit_Time, pop2_1kHz_v_1MHz_1laser[0:len(time_1kHz_v_1MHz)], \":\",c=\"yellow\", label=\"$\\\\rho_{22} ~(1L ~v_{1MHz})$\")\n",
    "plt.plot(time_1kHz_v_1MHz*unit_Time, pop1_1kHz_v_1MHz_2lasers[0:len(time_1kHz_v_1MHz)], \"-\", c=\"y\", label=\"$\\\\rho_{11} ~(v_{1MHz})$\")\n",
    "plt.plot(time_1kHz_v_1MHz*unit_Time, pop2_1kHz_v_1MHz_2lasers[0:len(time_1kHz_v_1MHz)], \":\",c=\"y\", label=\"$\\\\rho_{22} ~(v_{1MHz})$\")\n",
    "#plt.plot(time_1kHz_2v_1MHz*unit_Time, pop1_1kHz_2v_1MHz_1laser[0:len(time_1kHz_2v_1MHz)], \"-\", c=\"red\", label=\"$\\\\rho_{11} ~(1L ~2v_{1MHz})$\")\n",
    "#plt.plot(time_1kHz_2v_1MHz*unit_Time, pop2_1kHz_2v_1MHz_1laser[0:len(time_1kHz_2v_1MHz)], \":\",c=\"red\", label=\"$\\\\rho_{22} ~(1L ~2v_{1MHz})$\")\n",
    "plt.plot(time_1kHz_2v_1MHz*unit_Time, pop1_1kHz_2v_1MHz_2lasers[0:len(time_1kHz_2v_1MHz)], \"-\", c=\"red\", label=\"$\\\\rho_{11} ~(2v_{1MHz})$\")\n",
    "plt.plot(time_1kHz_2v_1MHz*unit_Time, pop2_1kHz_2v_1MHz_2lasers[0:len(time_1kHz_2v_1MHz)], \":\",c=\"red\", label=\"$\\\\rho_{22} ~(2v_{1MHz})$\")\n",
    "plt.xlabel(\"$time ~t ~[sec]$\", fontsize=font_size), plt.ylabel(\"Populations (at 1kHz)\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_PopulationsSingleMoleculeCavity_1kHz_v1MHz.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "#PLot population 1\n",
    "#plt.plot(time_1kHz_v0*unit_Time, pop1_1kHz_v0_1laser[0:len(time_1kHz_v0)], \"-\", c=\"blue\", label=\"$\\\\rho_{11} ~(1L ~v0)$\")\n",
    "plt.plot(time_1kHz_v0*unit_Time, pop1_1kHz_v0_2lasers[0:len(time_1kHz_v0)], \"-\", c=\"blue\", label=\"$\\\\rho_{11} ~(v = 0)$\")\n",
    "#plt.plot(time_1kHz_0p1v_1MHz*unit_Time, pop1_1kHz_0p1v_1MHz_1laser[0:len(time_1kHz_0p1v_1MHz)], \"-\", c=\"green\", label=\"$\\\\rho_{11} ~(1L ~0,1v_{1MHz})$\")\n",
    "plt.plot(time_1kHz_0p1v_1MHz*unit_Time, pop1_1kHz_0p1v_1MHz_2lasers[0:len(time_1kHz_0p1v_1MHz)], \"-\", c=\"green\", label=\"$\\\\rho_{11} ~(0.1v_{1MHz})$\")\n",
    "#plt.plot(time_1kHz_v_1MHz*unit_Time, pop1_1kHz_v_1MHz_1laser[0:len(time_1kHz_v_1MHz)], \"-\", c=\"yellow\", label=\"$\\\\rho_{11} ~(1L ~v_{1MHz})$\")\n",
    "plt.plot(time_1kHz_v_1MHz*unit_Time, pop1_1kHz_v_1MHz_2lasers[0:len(time_1kHz_v_1MHz)], \"-\", c=\"y\", label=\"$\\\\rho_{11} ~(v_{1MHz})$\")\n",
    "#plt.plot(time_1kHz_2v_1MHz*unit_Time, pop1_1kHz_2v_1MHz_1laser[0:len(time_1kHz_2v_1MHz)], \"-\", c=\"red\", label=\"$\\\\rho_{11} ~(1L ~2v_{1MHz})$\")\n",
    "plt.plot(time_1kHz_2v_1MHz*unit_Time, pop1_1kHz_2v_1MHz_2lasers[0:len(time_1kHz_2v_1MHz)], \"-\", c=\"red\", label=\"$\\\\rho_{11} ~(2v_{1MHz})$\")\n",
    "plt.xlabel(\"$time ~t ~[sec]$\", fontsize=font_size), plt.ylabel(\"Population 1 (at 1kHz)\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_Population1SingleMoleculeCavity_1kHz_v1MHz.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "#PLot population 2\n",
    "#plt.plot(time_1kHz_v0*unit_Time, pop2_1kHz_v0_1laser[0:len(time_1kHz_v0)], \"-\",c=\"blue\", label=\"$\\\\rho_{22} ~(1L ~v0)$\")\n",
    "plt.plot(time_1kHz_v0*unit_Time, pop2_1kHz_v0_2lasers[0:len(time_1kHz_v0)], \"-\",c=\"blue\", label=\"$\\\\rho_{22} ~(v = 0)$\")\n",
    "#plt.plot(time_1kHz_0p1v_1MHz*unit_Time, pop2_1kHz_0p1v_1MHz_1laser[0:len(time_1kHz_0p1v_1MHz)], \"-\",c=\"green\", label=\"$\\\\rho_{22} ~(1L ~0,1v_{1MHz})$\")\n",
    "plt.plot(time_1kHz_0p1v_1MHz*unit_Time, pop2_1kHz_0p1v_1MHz_2lasers[0:len(time_1kHz_0p1v_1MHz)], \"-\",c=\"green\", label=\"$\\\\rho_{22} ~(0.1v_{1MHz})$\")\n",
    "#plt.plot(time_1kHz_v_1MHz*unit_Time, pop2_1kHz_v_1MHz_1laser[0:len(time_1kHz_v_1MHz)], \"-\",c=\"yellow\", label=\"$\\\\rho_{22} ~(1L ~v_{1MHz})$\")\n",
    "plt.plot(time_1kHz_v_1MHz*unit_Time, pop2_1kHz_v_1MHz_2lasers[0:len(time_1kHz_v_1MHz)], \"-\",c=\"y\", label=\"$\\\\rho_{22} ~(v_{1MHz})$\")\n",
    "#plt.plot(time_1kHz_2v_1MHz*unit_Time, pop2_1kHz_2v_1MHz_1laser[0:len(time_1kHz_2v_1MHz)], \"-\",c=\"red\", label=\"$\\\\rho_{22} ~(1L ~2v_{1MHz})$\")\n",
    "plt.plot(time_1kHz_2v_1MHz*unit_Time, pop2_1kHz_2v_1MHz_2lasers[0:len(time_1kHz_2v_1MHz)], \"-\",c=\"red\", label=\"$\\\\rho_{22} ~(2v_{1MHz})$\")\n",
    "plt.xlabel(\"$time ~t ~[sec]$\", fontsize=font_size), plt.ylabel(\"Population 2 (at 1kHz)\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_Population2SingleMoleculeCavity_1kHz_v1MHz.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "### 1 MHz ###\n",
    "#PLot populations\n",
    "#plt.plot(time_1MHz_v0*unit_Time, pop1_1MHz_v0_1laser[0:len(time_1MHz_v0)], \"-\", c=\"blue\", label=\"$\\\\rho_{11} ~(1L ~v0)$\")\n",
    "#plt.plot(time_1MHz_v0*unit_Time, pop2_1MHz_v0_1laser[0:len(time_1MHz_v0)], \":\",c=\"blue\", label=\"$\\\\rho_{22} ~(1L ~v0)$\")\n",
    "plt.plot(time_1MHz_v0*unit_Time, pop1_1MHz_v0_2lasers[0:len(time_1MHz_v0)], \"-\", c=\"blue\", label=\"$\\\\rho_{11} ~(v = 0)$\")\n",
    "plt.plot(time_1MHz_v0*unit_Time, pop2_1MHz_v0_2lasers[0:len(time_1MHz_v0)], \":\",c=\"blue\", label=\"$\\\\rho_{22} ~(v = 0)$\")\n",
    "#plt.plot(time_1MHz_0p1v_1MHz*unit_Time, pop1_1MHz_0p1v_1MHz_1laser[0:len(time_1MHz_0p1v_1MHz)], \"-\", c=\"green\", label=\"$\\\\rho_{11} ~(1L ~0,1v_{1MHz})$\")\n",
    "#plt.plot(time_1MHz_0p1v_1MHz*unit_Time, pop2_1MHz_0p1v_1MHz_1laser[0:len(time_1MHz_0p1v_1MHz)], \":\",c=\"green\", label=\"$\\\\rho_{22} ~(1L ~0,1v_{1MHz})$\")\n",
    "plt.plot(time_1MHz_0p1v_1MHz*unit_Time, pop1_1MHz_0p1v_1MHz_2lasers[0:len(time_1MHz_0p1v_1MHz)], \"-\", c=\"green\", label=\"$\\\\rho_{11} ~(0.1v_{1MHz})$\")\n",
    "plt.plot(time_1MHz_0p1v_1MHz*unit_Time, pop2_1MHz_0p1v_1MHz_2lasers[0:len(time_1MHz_0p1v_1MHz)], \":\",c=\"green\", label=\"$\\\\rho_{22} ~(0.1v_{1MHz})$\")\n",
    "#plt.plot(time_1MHz_v_1MHz*unit_Time, pop1_1MHz_v_1MHz_1laser[0:len(time_1MHz_v_1MHz)], \"-\", c=\"yellow\", label=\"$\\\\rho_{11} ~(1L ~v_{1MHz})$\")\n",
    "#plt.plot(time_1MHz_v_1MHz*unit_Time, pop2_1MHz_v_1MHz_1laser[0:len(time_1MHz_v_1MHz)], \":\",c=\"yellow\", label=\"$\\\\rho_{22} ~(1L ~v_{1MHz})$\")\n",
    "plt.plot(time_1MHz_v_1MHz*unit_Time, pop1_1MHz_v_1MHz_2lasers[0:len(time_1MHz_v_1MHz)], \"-\", c=\"y\", label=\"$\\\\rho_{11} ~(v_{1MHz})$\")\n",
    "plt.plot(time_1MHz_v_1MHz*unit_Time, pop2_1MHz_v_1MHz_2lasers[0:len(time_1MHz_v_1MHz)], \":\",c=\"y\", label=\"$\\\\rho_{22} ~(v_{1MHz})$\")\n",
    "#plt.plot(time_1MHz_2v_1MHz*unit_Time, pop1_1MHz_2v_1MHz_1laser[0:len(time_1MHz_2v_1MHz)], \"-\", c=\"red\", label=\"$\\\\rho_{11} ~(1L ~2v_{1MHz})$\")\n",
    "#plt.plot(time_1MHz_2v_1MHz*unit_Time, pop2_1MHz_2v_1MHz_1laser[0:len(time_1MHz_2v_1MHz)], \":\",c=\"red\", label=\"$\\\\rho_{22} ~(1L ~2v_{1MHz})$\")\n",
    "plt.plot(time_1MHz_2v_1MHz*unit_Time, pop1_1MHz_2v_1MHz_2lasers[0:len(time_1MHz_2v_1MHz)], \"-\", c=\"red\", label=\"$\\\\rho_{11} ~(2v_{1MHz})$\")\n",
    "plt.plot(time_1MHz_2v_1MHz*unit_Time, pop2_1MHz_2v_1MHz_2lasers[0:len(time_1MHz_2v_1MHz)], \":\",c=\"red\", label=\"$\\\\rho_{22} ~(2v_{1MHz})$\")\n",
    "plt.xlabel(\"$time ~t ~[sec]$\", fontsize=font_size), plt.ylabel(\"Populations (at 1MHz)\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_PopulationsSingleMoleculeCavity_1MHz_v1MHz.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "#PLot population 1\n",
    "#plt.plot(time_1MHz_v0*unit_Time, pop1_1MHz_v0_1laser[0:len(time_1MHz_v0)], \"-\", c=\"blue\", label=\"$\\\\rho_{11} ~(1L ~v0)$\")\n",
    "plt.plot(time_1MHz_v0*unit_Time, pop1_1MHz_v0_2lasers[0:len(time_1MHz_v0)], \"-\", c=\"blue\", label=\"$\\\\rho_{11} ~(v = 0)$\")\n",
    "#plt.plot(time_1MHz_0p1v_1MHz*unit_Time, pop1_1MHz_0p1v_1MHz_1laser[0:len(time_1MHz_0p1v_1MHz)], \"-\", c=\"green\", label=\"$\\\\rho_{11} ~(1L ~0,1v_{1MHz})$\")\n",
    "plt.plot(time_1MHz_0p1v_1MHz*unit_Time, pop1_1MHz_0p1v_1MHz_2lasers[0:len(time_1MHz_0p1v_1MHz)], \"-\", c=\"green\", label=\"$\\\\rho_{11} ~(0.1v_{1MHz})$\")\n",
    "#plt.plot(time_1MHz_v_1MHz*unit_Time, pop1_1MHz_v_1MHz_1laser[0:len(time_1MHz_v_1MHz)], \"-\", c=\"yellow\", label=\"$\\\\rho_{11} ~(1L ~v_{1MHz})$\")\n",
    "plt.plot(time_1MHz_v_1MHz*unit_Time, pop1_1MHz_v_1MHz_2lasers[0:len(time_1MHz_v_1MHz)], \"-\", c=\"y\", label=\"$\\\\rho_{11} ~(v_{1MHz})$\")\n",
    "#plt.plot(time_1MHz_2v_1MHz*unit_Time, pop1_1MHz_2v_1MHz_1laser[0:len(time_1MHz_2v_1MHz)], \"-\", c=\"red\", label=\"$\\\\rho_{11} ~(1L ~2v_{1MHz})$\")\n",
    "plt.plot(time_1MHz_2v_1MHz*unit_Time, pop1_1MHz_2v_1MHz_2lasers[0:len(time_1MHz_2v_1MHz)], \"-\", c=\"red\", label=\"$\\\\rho_{11} ~(2v_{1MHz})$\")\n",
    "plt.xlabel(\"$time ~t ~[sec]$\", fontsize=font_size), plt.ylabel(\"Population 1 (at 1MHz)\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_Population1SingleMoleculeCavity_1MHz_v1MHz.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "#PLot population 2\n",
    "#plt.plot(time_1MHz_v0*unit_Time, pop2_1MHz_v0_1laser[0:len(time_1MHz_v0)], \"-\",c=\"blue\", label=\"$\\\\rho_{22} ~(1L ~v0)$\")\n",
    "plt.plot(time_1MHz_v0*unit_Time, pop2_1MHz_v0_2lasers[0:len(time_1MHz_v0)], \"-\",c=\"blue\", label=\"$\\\\rho_{22} ~(v = 0)$\")\n",
    "#plt.plot(time_1MHz_0p1v_1MHz*unit_Time, pop2_1MHz_0p1v_1MHz_1laser[0:len(time_1MHz_0p1v_1MHz)], \"-\",c=\"green\", label=\"$\\\\rho_{22} ~(1L ~0,1v_{1MHz})$\")\n",
    "plt.plot(time_1MHz_0p1v_1MHz*unit_Time, pop2_1MHz_0p1v_1MHz_2lasers[0:len(time_1MHz_0p1v_1MHz)], \"-\",c=\"green\", label=\"$\\\\rho_{22} ~(0.1v_{1MHz})$\")\n",
    "#plt.plot(time_1MHz_v_1MHz*unit_Time, pop2_1MHz_v_1MHz_1laser[0:len(time_1MHz_v_1MHz)], \"-\",c=\"yellow\", label=\"$\\\\rho_{22} ~(1L ~v_{1MHz})$\")\n",
    "plt.plot(time_1MHz_v_1MHz*unit_Time, pop2_1MHz_v_1MHz_2lasers[0:len(time_1MHz_v_1MHz)], \"-\",c=\"y\", label=\"$\\\\rho_{22} ~(v_{1MHz})$\")\n",
    "#plt.plot(time_1MHz_2v_1MHz*unit_Time, pop2_1MHz_2v_1MHz_1laser[0:len(time_1MHz_2v_1MHz)], \"-\",c=\"red\", label=\"$\\\\rho_{22} ~(1L ~2v_{1MHz})$\")\n",
    "plt.plot(time_1MHz_2v_1MHz*unit_Time, pop2_1MHz_2v_1MHz_2lasers[0:len(time_1MHz_2v_1MHz)], \"-\",c=\"red\", label=\"$\\\\rho_{22} ~(2v_{1MHz})$\")\n",
    "plt.xlabel(\"$time ~t ~[sec]$\", fontsize=font_size), plt.ylabel(\"Population 2 (at 1MHz)\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_Population2SingleMoleculeCavity_1MHz_v1MHz.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4a9c6982",
   "metadata": {},
   "source": [
    "# <center><b> Single HD molecule moving in a cavity : Absorption coefficient </b></center>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "f43b183b",
   "metadata": {},
   "outputs": [],
   "source": [
    "width_Hz = 2*1e6 # Hz\n",
    "width = 2*np.pi*(width_Hz*unit_Time)\n",
    "frequency_window_HD_Single = np.linspace(omega_0-width, omega_0+width, 51)\n",
    "np.savetxt('frequency_window_HD_Single.txt', frequency_window_HD_Single)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "fe5b1784",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0 %\n",
      "5.88235294117647 %\n",
      "11.76470588235294 %\n",
      "15.686274509803921 %\n",
      "21.568627450980394 %\n",
      "25.49019607843137 %\n",
      "31.372549019607842 %\n",
      "35.294117647058826 %\n",
      "41.17647058823529 %\n",
      "45.09803921568628 %\n",
      "50.98039215686274 %\n",
      "56.86274509803921 %\n",
      "60.78431372549019 %\n",
      "66.66666666666666 %\n",
      "70.58823529411765 %\n",
      "76.47058823529412 %\n",
      "80.3921568627451 %\n",
      "86.27450980392157 %\n",
      "90.19607843137256 %\n",
      "96.07843137254902 %\n",
      "0.0 %\n",
      "5.88235294117647 %\n",
      "11.76470588235294 %\n",
      "15.686274509803921 %\n",
      "21.568627450980394 %\n",
      "25.49019607843137 %\n",
      "31.372549019607842 %\n",
      "35.294117647058826 %\n",
      "41.17647058823529 %\n",
      "45.09803921568628 %\n",
      "50.98039215686274 %\n",
      "56.86274509803921 %\n",
      "60.78431372549019 %\n",
      "66.66666666666666 %\n",
      "70.58823529411765 %\n",
      "76.47058823529412 %\n",
      "80.3921568627451 %\n",
      "86.27450980392157 %\n",
      "90.19607843137256 %\n",
      "96.07843137254902 %\n",
      "0.0 %\n",
      "5.88235294117647 %\n",
      "11.76470588235294 %\n",
      "15.686274509803921 %\n",
      "21.568627450980394 %\n",
      "25.49019607843137 %\n",
      "31.372549019607842 %\n",
      "35.294117647058826 %\n",
      "41.17647058823529 %\n",
      "45.09803921568628 %\n",
      "50.98039215686274 %\n",
      "56.86274509803921 %\n",
      "60.78431372549019 %\n",
      "66.66666666666666 %\n",
      "70.58823529411765 %\n",
      "76.47058823529412 %\n",
      "80.3921568627451 %\n",
      "86.27450980392157 %\n",
      "90.19607843137256 %\n",
      "96.07843137254902 %\n",
      "0.0 %\n",
      "5.88235294117647 %\n",
      "11.76470588235294 %\n",
      "15.686274509803921 %\n",
      "21.568627450980394 %\n",
      "25.49019607843137 %\n",
      "31.372549019607842 %\n",
      "35.294117647058826 %\n",
      "41.17647058823529 %\n",
      "45.09803921568628 %\n",
      "50.98039215686274 %\n",
      "56.86274509803921 %\n",
      "60.78431372549019 %\n",
      "66.66666666666666 %\n",
      "70.58823529411765 %\n",
      "76.47058823529412 %\n",
      "80.3921568627451 %\n",
      "86.27450980392157 %\n",
      "90.19607843137256 %\n",
      "96.07843137254902 %\n"
     ]
    }
   ],
   "source": [
    "alpha_HD_v0 = HD_spectrum.spectrum_v_Transit(frequency_window_HD_Single, 0, transit_time, N_0p25)\n",
    "np.savetxt('alpha_HD_v0.txt', alpha_HD_v0)\n",
    "alpha_HD_0p1v1MHz = HD_spectrum.spectrum_v_Transit(frequency_window_HD_Single, 0.1*v_1MHz, transit_time, N_0p25)\n",
    "np.savetxt('alpha_HD_0p1v1MHz.txt', alpha_HD_0p1v1MHz)\n",
    "alpha_HD_v1MHz = HD_spectrum.spectrum_v_Transit(frequency_window_HD_Single, v_1MHz, transit_time, N_0p25)\n",
    "np.savetxt('alpha_HD_v1MHz.txt', alpha_HD_v1MHz)\n",
    "alpha_HD_2v1MHz = HD_spectrum.spectrum_v_Transit(frequency_window_HD_Single, 2*v_1MHz, transit_time, N_0p25)\n",
    "np.savetxt('alpha_HD_2v1MHz.txt', alpha_HD_2v1MHz)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "e7a29d27",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "frequency_window_HD_Single = np.loadtxt('frequency_window_HD_Single.txt')\n",
    "frequency_detuning_HD_Single = (frequency_window_HD_Single/(2*np.pi) - f_0)/unit_Time / 1000000 # MHz\n",
    "\n",
    "alpha_HD_v0_SI = np.loadtxt('alpha_HD_v0.txt') / unit_Length / 100 # 1/cm\n",
    "alpha_HD_0p1v1MHz_SI = np.loadtxt('alpha_HD_0p1v1MHz.txt') / unit_Length / 100 # 1/cm\n",
    "alpha_HD_v1MHz_SI = np.loadtxt('alpha_HD_v1MHz.txt') / unit_Length / 100 # 1/cm\n",
    "alpha_HD_2v1MHz_SI = np.loadtxt('alpha_HD_2v1MHz.txt') / unit_Length / 100 # 1/cm\n",
    "\n",
    "\n",
    "\n",
    "font_size = 14\n",
    "tick_font_size = 14\n",
    "##Plot\n",
    "plt.plot(frequency_detuning_HD_Single[0:len(frequency_detuning_HD_Single)], alpha_HD_v0_SI[0:len(alpha_HD_v0_SI)], \"-\", c=\"b\", label=\"$\\\\alpha (v = 0)$\")\n",
    "#plt.scatter(frequency_detuning_HD_Single[0:len(frequency_detuning_HD_Single)], alpha_HD_v0_SI[0:len(alpha_HD_v0_SI)], marker=\"x\",c=\"k\", label=\"$\\\\alpha (v0)$\")\n",
    "plt.plot(frequency_detuning_HD_Single[0:len(frequency_detuning_HD_Single)], alpha_HD_0p1v1MHz_SI[0:len(alpha_HD_0p1v1MHz_SI)], \"-\", c=\"g\", label=\"$\\\\alpha (v = 0.1 ~v_{1MHz})$\")\n",
    "#plt.scatter(frequency_detuning_HD_Single[0:len(frequency_detuning_HD_Single)], alpha_HD_0p1v1MHz_SI[0:len(alpha_HD_0p1v1MHz_SI)], marker=\"x\",c=\"k\", label=\"$\\\\alpha 0,1 ~v_{1MHz}$\")\n",
    "plt.plot(frequency_detuning_HD_Single[0:len(frequency_detuning_HD_Single)], alpha_HD_v1MHz_SI[0:len(alpha_HD_v1MHz_SI)], \"-\", c=\"y\", label=\"$\\\\alpha (v = ~v_{1MHz})$\")\n",
    "#plt.scatter(frequency_detuning_HD_Single[0:len(frequency_detuning_HD_Single)], alpha_HD_v1MHz_SI[0:len(alpha_HD_v1MHz_SI)], marker=\"x\",c=\"k\", label=\"$\\\\alpha ~v_{1MHz}$\")\n",
    "plt.plot(frequency_detuning_HD_Single[0:len(frequency_detuning_HD_Single)], alpha_HD_2v1MHz_SI[0:len(alpha_HD_2v1MHz_SI)], \"-\", c=\"r\", label=\"$\\\\alpha (v = ~2v_{1MHz})$\")\n",
    "#plt.scatter(frequency_detuning_HD_Single[0:len(frequency_detuning_HD_Single)], alpha_HD_2v1MHz_SI[0:len(alpha_HD_2v1MHz_SI)], marker=\"x\",c=\"k\", label=\"$\\\\alpha ~2v_{1MHz}$\")\n",
    "plt.xlabel(\"$f - f_{0} ~[MHz]$\", fontsize=font_size), plt.ylabel(\"$\\\\alpha ~[1/cm]$\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_Cavity_HD_Single.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "94a45356",
   "metadata": {},
   "source": [
    "# <center><b> Gas of HD molecules in a cavity : Absorption coefficient </b></center>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "234944d7",
   "metadata": {},
   "source": [
    "## velocity integration analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea15f968",
   "metadata": {},
   "source": [
    "### detuning = 2 MHz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "ac8a267a",
   "metadata": {},
   "outputs": [],
   "source": [
    "delta = 2*1e6 * unit_Time # Conversion from SI units to atomic units\n",
    "omega = omega_0 + 2*np.pi*delta\n",
    "k = omega/c\n",
    "v_shift = abs(omega_0 - omega)/k\n",
    "f_v, v = HD_gas_pr0p25.distMB_AdaptativeSampling(v_shift, 10*v_1MHz)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "437bf1d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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7Wzk5Qe3a8OOP6e/VJUQOledzcIQQD2E2Q4cO0LGjFtyYTFCoEJQoAcDPDKABBzhGbUoSzmq6Mo/hqQtufvoJVqyQ4Ca9PD3h1Ve1EbBhwx66a0t2cYh6DOBnYnHifT6kFdsJwSdhJycnrRP6tWvav3uHDtr7QIh8TAIcIfKaixcTAhvQklxNJu44e/A8/2MQP3OLwrRiG0epTVce3ikcSJiOGjgwc889vzEaYe5cbdrK3T3F3TyJ5GcG8SODKEwUf9CCehzid9qAXq8FN9ZkZpNJ64r+338S5Ih8TQIcIfIKsxn+/TdhROBBYAPwX/GmNL30C9/zPDrieJ/JbKEdXlx59POuWgXffps/atlkl27dtFVX48Y9dLdB/Mxh6vI4/3CdEjzFb0yJG0tccW1pOSYT+PlpPbP69YNWrSQvR+RbkoMjOTgit0uabwPah5rRCLGxrLrYkMH8QBQelCScnxlIO35/9PO++CKMHSuBTVbbsgV6937o6MtdXHiZmcxDW0nahTX8wGCKGD1h2TIYMACCgyUvR+Q5+aabeFpJgCPyDGu+TdLABlAmEx/qJjJRTQKgBTsJpD/eXNL2dXWFO3eSP6enJyxfLrVsspPZrNW2eUR9m7kM42VmEkNBKhLESo+h1C5i0t4H1rwca4Dq7Q2bNkmQI3I1STIWIr9IId/m9j0n+rIsPrh5jRlspY0W3Dg5afuWLBmfeBxv9Ggt10aCm+zl6QlTp2rTg0lZ//08PBjOPPbwJOU4z1ke48nIDfxqqiV5OUIgAY4QudND8m1CStSj2eXlLKc3ztxjLsOYwWiciNX29fZO2N+6usrLS/sw/eIL+Yafk3TrpgWckydr/0a2ozJFigBQ3+00/1CfNvxONO50YS1fxr2KKlFS2zdpXk6HDtp7RwIdkcfJFJVMUYnc5iHTUntNZejGaq7gRUnC+YWeNGe3tp+3t/YBabM/3t4wb57kZ+QGJpPWlsFaz8g2cOnZk/sXr/AyM5nDSEDrZfUNr+Bs9E6clyNTViIXkykqIfIqs1mbZggPTzYttfZmc1qxnSt4UZsj/E1DLbgpXVrbxxoQGY3ah9vGjdoHXPXq8iGXGxiNsG2b9u/m7Z0Q3AwYABcv4uwE3/ECn/MGOuL4Hy/QifVEmHXQp0/i4MZk0t4PFy9m7+8kRCaSERwZwRG5hXXkJjw84YPtwYfW/6734sVbnxCHgQDWs5S+FNbf0aY1wsISf7AZjdqHZPXq2fv7iLSzBrr9+iWslrJOXd25w9qrTRjAYm5RmOqc4Deewsdb2R/Bk1EckYvICI4QeZE1oTg4WAtuFi9GVfDjfdMwXrj1OXEYeI55rKErhQ13IS5O+0Czyc+JH70pWzZ7fxeRPp6eULmy9t+kq6WuXqVL2YPspjllCeVfavAEf3IqzD1xcCOJxyKPkwBHiJzOXkJxcDD3+z/LcPclfMj7ALzPZOYyXEsmtk5LJQ1srNNS8o099/P0hNWrtTo3tkGLnx/88gt1y17lT56gCqcIwUgzdrOfhlrXd0k8FvmATFHJFJXIyVJIKL6rXOgT8hnr6IKeWGYziuf5XlsRVaiQJBLnJ7aFHpNOX3p7cy26IAGRgfxNI9yIZhXdaef9L6xcKYnHIteRKSoh8oIUEopvma7R+dIc1tGFgtxhFd15XjdX+3CyrrCxHb2ZN08SifMyT0/t33fTJliyJHHQ4uREichgthXpSTs2c4vCdGI9S8OaQ48ekngs8jQJcITIiawjN/36ad/I/fzAZCIyrjAdnbbwu8UfN6LZSEe6sA7KlNG+kT/YD5B8m/zGmpdTqlSypPLCHnrW0Zk+LOU+BejPYn4Ia6tNZdrsB2gjQTJVJfIACXCEyGlsR25sEopvlKtHu9D5/GF5Ak8i2EI7/NmpfUiFhcXvh5+f5NvkV56e2r+5dSm5TaDj4ufD4jFHeJ7/odAzlAXMu9JJEo9FnuWU3ScghLBhLeYWEZEol+Jq35dpF72GI/hSnGtspj2Pc0h7jItLfOIxAwZo0xTWFTYi//H01G7z5kHHjokSig0DBvAdwThzn295meHMw4ITI2PWwJUriROPS5WS3C2Rq0mAI0ROYTZrpfmPHdOW/T4Ykbna92X8LyzkX3wpzWV+py01OZG8MrHRqH0oSXAjQAtMrO8Rm2BZZzTyTeT7OEfcZwajeYH/YbnixEveqxMnKFssWoAkiccil5IAR4icwDotZTZrHyxOThAczPW+L9I2eg3/4kNZQtlGayp7XIEixsSBjfX/582TDyKhsU5X2RYEfDAVpYu4yRdFPsQpwsJnvM3LfIslzJnXunbVRnJsp6ycnLTnkMBZ5DKSgyNEdrOXUGyxEGEoTvsLczh63QcvLrGdVlTmjNZkcdkySSgWj/aQxGOdhzufMIZ3mALA68xg1pUeCR3m7dXKkbwckYtIgCNEdkohoTiyfG06xP7KQepTknC20oZKz7VIGK2RhGKRWg9JPNb5+fHxFD3j+RiAl5jFD9cCEgc31ikrWUIuchkp9CeF/kR2SaG3VHT5mnS4u4o9lx+jGNfZTitqcyz5B46fnyQUC8f8+2+yxGMGDEAFBzOaL/mK19ETy1L60uu7dvDJJ1IIUOQoUuhPiNzATm+pu+Wr0uX8V+y5/BhFuMkW2mnBzYOcnEQjN5JQLBxlTTxOEizrjEa+LP4xw5hLHAb6E8j6F9YmLwQoS8hFLiIjODKCI7KDnRYMlgqV6O20itVnauBOJFtoR+OhNWDnzsQdo2XkRqRH0k7kNgFMbKkyDAr/nCX0x4W7bCCA1qX/TbyEfMAALbiWkRyRDWQER4iczE4LBuVrZNS5t1l9pgYu3GUtXWjMfti6NVHiMU5OWpKxBDcirVJKPPbzw7B2FYtKvU0X1hBDQbqwlr+v+GojP7bTozKSI3IBCXCEyEoptGCYcGM0cxmBnlgC6Y+/+0H7CcW1asGqVRLciPRJmnhsMzrjHH6RpcVfoi1b4ntXnTGXgj59EnK/ZGWVyAUkwBEiq6SwYmqGx/tMufU6AN/xAt1ZDR4eCUvBbSsUb9+e8K1biPR4SJPOgm4GVtKD+hzgKqV4KnoFV0x3tfeerKwSuYQEOEJkBXsjN8HB/NxpMaMjJwPwMeMZwVytt9TFi5JQLLJGClNW7n6lWP/GNvw4yzn8CGADUf1GJO5WDtKcU+RYEuAIkdlSGLnZWqo/Q65/BsBrzOAdpmr72+stJQmdIjNZe1dBoiXkpVd8yyY6UIKrHKQ+vT5pyL3gEFlZJXIFh1o1+Pn5pfuAr7/+Oq+++mq6n0eIXCGFWjf/9nqfnhGrseBMPwL5gjfQTZkCc+cmfDuW3lIiK9nrXWUyUcloZP2NfrSKXstmnmI4c/nh7hh04Xaac0ogLnIQh0Zwzp8/z82bN1FKpel24cIFIiIiMulXESIHslPr5oqxIZ1Cv8N8z5Vm/MEChqJHacGNTeIxIL2lRNaxJh7b5uP4+cGyZTTyOMUKemHAwo88y/vhL8nKKpHjOdxsc/To0bz//vtpOphenzEzYqtWrWLWrFkcPHiQ27dv4+XlRZMmTfjkk0/w9fXNkGMIkW5ms5afAPFTTrf7PUeXuC2cx5vHOMMqulPw1ZHw66+JC/lZa41IbymRlWzzcSDhvRgWRsfSscy58jzDmM9HvEfVGyYG9umTvGeVjOSIHCJXdRNXSvHCCy8wZ84cKlasSL9+/XB3dycsLIydO3dy4cIFCXBEzpC01o3RSJxvOZ49P5n9eFOM62wggBJch9WrtRVT1m/C1rwbmZoS2eEhXcifYwGnqcInjOW5OzMpb2rNk0YSj+RYLNrIpbx3RTZzKMA5c+YMxYoVS/PB0vv4b775hjlz5vDSSy/x1VdfYTAYEt1vsVjS/NxCZJgU8m7eKfQNv9CLAsSwmm5U8rwKnklq3VhHbiS4EdnJdiTHel19MFIzdeAd/vtwFavpTndWsa/LT1Swt7JKRnFENss1rRru3LmDj48PRYoU4fTp0zg5pX3wSVo1iEyTtAz+g6H7BR2W8FzElwD8xEAGslibfvrlF2meKXIue805+/ThlukazfmDQzxOdU7wJ0/gaSyiPca6r7yXRSbIk60atmzZwo0bN+jWrRuxsbGsXLmSadOm8d133xEUFJTdpydEirVu/uo6jRcipgEwkUlacCO1bkRuYK85p8mEm7EEaz2eoQxh/EsN+rEEy11L8nwcqXQsslG6c3B27NjBli1biI6OxtfXlzp16vD4449TvHjxjDi/eAcOHADAycmJOnXqcPr06fj79Ho9o0eP5rPPPrP72JiYGGJiYuJ/joyMzNBzEwJIWDFlM+V0sccr9AibxT1c6MEvvM8H2r72at1IcCNyGnv5OA8CGJ8ePVgb2YUW7GITHRkT/iZflP0icT4OaI+V97bIDiodvv76a6XX65VOp4u/6fV6pdfrla+vr+rSpYuaNGmSWrNmTXoOo5RSauTIkQpQBoNBNWzYUO3fv19FRUWpXbt2qapVqypAzZo1y+5jJ06cqIBkN7PZnO7zEkIppVREhFJNmihlNGo3UHfKV1UNvUMUKFWToyoKN6Xee08pPz+lIGHfJk20xwuRU1nf335+Su3dm/AeLl1aLaenAu3Hn1yHx7//E+0r73GRQcxmc6o/v9OVg1OhQgVu3LjBrFmzqFWrFqGhoRw5coRDhw5x6NAhgoODUUqh0+mIjY1NVyD2/PPP8/333+Pq6kpQUBDe3t7x9504cYLatWtToUIFu9NV9kZwfH19JQdHZIykeTdGI0rB4JAP+ZFnKcZ1/qYhfpzTRm1sV0wZjVrDw+rVs/u3EOLh7LzPATCZeJePmMK7uHKbPTxJPeONxO9zyckRGcSRHJx0TVFdu3aNIUOGMHDgQABq165NQEBA/P1RUVEcOnSIw4cPp+cwAHg++KNo0KBBouAGoEaNGvj5+REUFERERARFihRJdL+LiwsuLi7pPgchkklhxdSMwu/xI89iwMIy+uDneSPlFVNS60bkBg9ZWfXBcwYOTdjARgLozioOPDWHErbBjdTIEdkgXUnGNWvWTDQykpS7uzstWrTIkNYMVapUAUgWvFhZt9+5cyfdxxIiVVLqMVW8D29FTwTgC96gDdugcGH73cHlYi9ykxR6Vhnmf8/PDKQiQVygPP2+b40l+ELi5GTpPi6yWLoCnFdffZX169djzoIs+VatWgFw8uTJZPfdv3+foKAg3NzcKFmyZKafixAprZgK7fEq/W58SxwGhrCAV/hGVkyJvMXeyqrgYIr6FWP1wBW4Ec1W2mrNY4cPl+7jItukK8Dp378/Xbp0oVu3boSHh2fUOdlVsWJF2rdvT1BQEHPnzk1037Rp04iIiKB79+7pqo8jRKpFRSUbubnnW5E+YV9yTZWgLoeYxYvoQLqDi7wlpZ5VixdT84/ZLGQIAJ/xNkvGH0mWr0N4uPb3I0QmS3ehv9mzZzNu3DgAunTpQps2bXj88cepUaNGskrD6XX27FmeeOIJwsPD6dSpE1WrVuXQoUNs27aNcuXKsXfvXry8vB75PFLoT6SL2axdoJUCf//4C/zrJX/iq31N8SSCgzyO35QRibuDg/bNV4IbkRekkH+G0cg74aOZdvd13IjmAA2oWjoCrjzoPr5jB+h04O4ufwfCYQ59fqdnuda4ceOSLRO3LhV3dXVVDRs2VCNHjlRz5sxJz2ESMZlMasiQIcrLy0s5OzsrX19f9dJLL6krV66k+jkcWWYmRCK2y2VNJu3m56eW0jt+qewaOidfJmtdFn7iRHb/BkJknIgIpfbvT3iPP3jPW8oaVSu2xpdIuIWrUmXLJvqbkaXjIi2ybJl4mTJlUEqxYsUKateuzYULFzh06BAHDx6MXz0VFRWVIcvEM5KM4Ig0S1q6fscOTq0+RcNXmxCNO2OZxrSin2jfTm2rulpXTMnojchrUhjJuaz3pm7cP1zBi6HMZ77Xu1pjWVk6LtLBkc/vdAU4Hh4ejBgxgs8//zzFfc6cOcOhQ4fo06dPWg+T4STAEWlivZCHhWk/m0zc8qpI48urOUFN/NnOFtrh5FMGVqyQC7nIP+zVyLFY2B5Wmbb8ThwG5jOUoU4/aUvMJfAXaZRlvajq16/PtWvXHrpPpUqVclRwI0Sa2C4JN5m0bd7evHR5AieoSRnCWEI/nJx0EBoqK6ZE/mJbI8eabxYWRivv/5ismwzAS3zLcUsV8PGRpeMiS6QrwBk7dizr1q0jzPqNVoi8yN6ScJOJny614QeGoCeWJfSjtJcedu+WWjcif7JXI2fvXsYvrMxTbOIOhejFCqLvGKBPH1k6LjJdugKc4OBgWrRowVNPPcWpU6cy6pyEyFnsLAk/U7oZo9S3AExkMi34AwwGbZXUjh0yciPyJ9saOTt2AKB/711+5BnKEsppqvLC9Y+0AEiWjotMlq4cHL1ej06nQymFwWCgWbNmtGnThnr16lGvXr1kLRVyCsnBEalmZ0l4jO9jPBG2goOxdWjJDrbSBkPpkrIMVgiwX0bBaGS3uRb+5tXE4sQinuGZ0lvkb0Y4LMuSjJcvX86RI0c4fPgwhw4d4tKlS9qT6nQAlCxZknr16vH444/z8ccfp/UwGU4CHJEqtqtDHnwbpVkz3jC9xpe8QXGucYQ6lCUs8bdRPz/YuVPLNRAiPwoNhZYtE/ei6tWLD0OH8D4fUpgoDlOXimVj4K+/tMf4+0vCsXikLAtwkrp27Vp8J/HDhw9z+PBh/vvvP5RSskxc5D52loSv/yqIpz/X2oaspTOdS+yFQoUSD7lLMT+R36WwdDxW70yruN/5gxY0Yh+7S/fCeY2sOBSpl6kBzoIFC3j66adT3fPpzp07HD16lMaNGztymEwlAY54JDtLwi+Wfpy6VzZxjZK8xgxmMFobpbFdEm40wsaNUL169p6/ENkthaXjpjADdThCBEUZz8d87DRJlo6LVMvUZeLDhg3D29ub5s2b8/nnn3PmzJmH7u/q6pqjghshUsWaWPxgSXhcmbIMvjKda5SkHgeZzlhwckq+JNzbW0u0FCK/S2HpuNE7lu/1IwGYyjtstzRLvnRcko5FBnA4wPnzzz956623uHHjBm+//TZVq1alWrVqjB8/nr1792bGOQqRtazLVa2roUwmvr7ch620pRC3CKQ/Lt4lZEm4EI+SwtLxXiv6M4y5KPQ8w49cv+2asHTcZgWWLB0X6ZGuHJyzZ8+yatUq1q5dy59//olSilKlStGlSxe6du1KmzZtcHFxycjzzRAyRSVSZCex+ETDIdS/sp4YCjKbF3iB/2nfOP/8U3uMJEcKkTJ7yfr+/twKvszjHOQ/qtCdlfxCT3S2wY38XQk7siXJ+Pr166xdu5Y1a9bw+++/c+fOHQoVKkT79u3p1q0bnTp1olixYhlxqHSTAEfYlTRnwM+Pez8E0rhVIQ5bahLAen7laXQGA8TGyvJWIVIrhaXjByMfo0nERu5TgB94lmdXdocGDRLtIzltwla2raKyunv3Lps3b2bNmjWsX7+e8PBwDAYDTz75JDus0Xk2kgBHJJPCqo93dNOYpsZSnGscpyZeXNHybJycZEm4EI5IYen41NBBjGcqHpg5pq+Lscx9rXWDrEoUdmRZL6qUFCxYkC5dujBv3jwuXbrE7t27GT16NJcvX86MwwmRfnaqFf9RsgfT1dsAfM8IvAzXtARi68oqo1EbQnd3z8YTFyKXcHfX/l5sV0uFhvK24Uua8ieReDI0bi5xF8O0oAakyrFIl0wZwcnpZARHJGM2w+nT0L8/BAcT6VOdOmEbOB9XjqHMZz7DYOVKGT4XIj3sTAOzeDFnurxJ3fDfuI0bX/EqrxpmyTSwsCvLRnCWLl3K+PHjMUumu8jNrNNT/fvHL/d+PfRNzseVozznmMHr2n5vvKH917q6SpaEC+EY26Xj1uDF25tKBS7wKdpo6Vimcyr2MW3a15rS0LKl9jcqnzXCAekKcObOnctPP/2Ep01UHR4eTufOnXnsscd45plnCA0NTfdJCpFprN8obaanNnT6lgU8h444FvEsHkRpOTfnz2ujN6Dl3UhegBCO8/TU/nZ27tR+9veH0FBG6efQjs3cxZVnWYQlVqdNB1tHTMPDtb9VCXJEKqUrwPn3339p1apVom1jxoxh/fr1XL16lZ9//plmzZpx8+bNdJ2kEJnCOnLTr1/8yE1E8HVGfFMLgNeZQXN2a8HNL78k1LyxBjkS3AiRNta/HZvpXp1XaebzHEW4yd80YuqlwdCsWeKk5H79ZCRHpFq6Apzr169T1maI/u7duyxfvpwnn3ySGzdusHnzZi5evMj06dPTfaJCZLikicVffskbui8JoyyV+I+PmKDtZ7HA6NEJ1YolsViI9LMmHdtUOfbxVszUvQrAB7zPEUt1qXIs0ixdAU7p0qWJsnmjbdu2jTt37vDWW29hMBho27YtHTt2ZM2aNek+USEyVNJqxcHBbOj+PQvUUHTEsYChFOIOzJkj1YqFyAwpVDkesKIH3VmJBWeGsoD7dyyJqxwHBsoXDJEq6QpwqlevztatW+N/Xrp0Kc7OzrRr1y7RPufPn0/PYYTIWNapqZYttZ937CDCtxbPx80GtKmpJ3lQpXjatMQjN9LlWIiMU7aslqxvU8FY9+YbzOJFinKDQzzOZ9eHJARAixdriwFkmkqkQroCnFdffZVTp07Rt29fPvjgAxYvXkzbtm0pVKhQ/D4RERE4Ozun+0SFyBBJk4of5NO8WXktF/FJmJoqUUIbOreO3AQGysiNEBnNXsLx+fN4OV3nK14DYBKTOElVGDcu8TSVJByLR1HpNHr0aKXX65VOp1OFChVSBw4cSHR/8+bNVeXKldN7mAxlNpsVoMxmc3afishKERFKNWmilJ+fUnv3av8FtaHYQAVK6YhVf/CkUqCU0ZhoH+Xnp1RISHb/BkLkTSEhif/W1qxRcXqDCuBXBUo14U9lQZ9wv/Vvs0kT7e9a5BuOfH6nu5LxF198QVBQEL/++iunT5+mfv368feZTCb+/PNPGjVqlN7DCJF+dqoVR/pU5/kbUwF4ja9opv9LGzY3meL3kcRiITJZ0irHo0eji4vlf4zEAzN7acrXvKqtaPzyS0k4FqmSqZWMDx06xNdff0337t3p0qVLZh3GYVLJOJ9KUq0Yo5GXw9/n27vD8OMsx6hFoZU/J65W7OenJRZL7o0QmcteleNx4/j++f08z/e4cpuj1OYxpwvaykapcpwvZXuzzZxOApx8yE4zzb+CS/Eke1Do2UJb2rIVypeHXbu0x/j7a98qJfdGiKxh5+9UBQfTlt/ZRhtasoNttEZfvpz8neZTmdaqYcCAAaxcuTLNJ5bexwuRZkmmp+69NZ4RfI9CzxAWaMGNVCsWIntZk44DA+OnoXRGI98XHUshbrETf+YxDL74QtvftsqxTFWJJBwKcJYsWcLx48fTfLD0Pl6INLFT82b6i+c5QU1KEs5nvCXVioXIKaKiEqaR/fxg2TL83K/yIe8BMIZPuNzrZWjaNGEfa88qWVUlbDg5+oDDhw+zaNGizDgXITKe7ZD3jh2weDGnnniOj+K0KsVf8RrFuQEWEqoVDxggScVCZBdrwjEk/D2aTLxadiU/XxzEQR7njbhPWXxxoFbKwbYhp0xVCRsOBzirV69OU2XifJjqI3IC26mpZs2IUzqej1vEPVzoyAb6sQRKlwYXl8TViiWpWIjsYZ2mSpJw7BQYyJxO42l0bT2BDOBZFtHBcgwuXUoY8QHtb17+dgUOBjgLFixI9wHr1q2b7ucQIlVsp6YezNXPNYziD1rgRjSzGYUOtOBm2bKEkRsJboTIXp6e2t+hdSTnwShN/UIneZWvmcFoXmQWx8PrUahnTwgNlTYOIhlZRSWrqPKmpFNTwOWm3al68XfMFOFLXud151na6I3txbFKFQluhMgpzGZtREap+C8p0c5FqX7/MCEYGcs0pvGONlVl+yVFpqnyrExbRZXdypcvj06ns3t74YUXsvv0RE5y8SKEhSUkDF+6xFs33sFMEepzgFf4BkqWTJxY3L+/rMQQIiexBinW1VJGI4XLuDOTlwH4jLc4Si2IiUloyCltHMQDDufgZDdPT09ef/31ZNsbNGiQ9ScjciazGYYN0/7/QT+p7Z0+4+c7y9ARx3e8gIE40OuhTJmEKSxJLBYi57FNOt6xA8LC6PLkk/SI/YWV9OR55rDnypPa37S1EnK/fjKSI3LXFFX58uUB0t2dXKao8rjQUG1FxYNvfPfu66hzaSOnqMZLzGQmr2jLwqUaqhC5g52pqot4U42TROHBbF7gBad52ojs6NEJy8d37gQfn+w+e5GB8uwUlRCPlLTmjcnE55cHcopqlOKK1inc2xt275aaN0LkFkmnqvz8KDtnEh/zLgDjmcJVSxHo2VNq44h4uS7AiYmJ4YcffmDKlCnMnj2bI0eOZPcpiZzCmljcsqX2844dnPdqwodKuwh+zpsUwaxNTXl7JwRBMjUlRM6XtCHntGmMYjZ1OMxNivEOU7VR2fLlE9fG6dBBgpx8KtdNUV24cCHZ9g4dOvDjjz9SokQJu4+LiYkhJiYm/ufIyEh8fX1liiqvsZ2aenAR7NLSzLqY9viznW20RmcwQGysTE0JkRvZaZi7x1yTZub1APxFE5qsHJu8Ya5MVeUZeXaK6rnnnmPHjh1cvXqVyMhI9u7dS8eOHdm0aRNdunRJsZjg1KlT8fT0jL/5+vpm8ZmLTGenHcPaJ6axLqY9TtxnFi9qNW9Kl45PPJapKSFyGTttHJ70PM4QtBptLzKL2F59E7dxkNo4+VauGsGxJy4ujpYtW7J7925+/fVXOnXqlGwfGcHJ4+zUvLndpDXVw7ZwgfKMYypTnScm1LwxGrXHeXvLKgshchM73cYJDibcuSxV7h8jgqJ8y4u8yGypjZNHZckIjslkYvLkybRs2ZIyZcrg6upK4cKFqVChAn369GHlypVZ0p5Br9czdOhQAPbs2WN3HxcXFzw8PBLdRB5i247hQc2baZEvcoHyGLnABD5KXPPGZNIeN2+eXPCEyE2sbRyWLIkPbjAaKVXGEJ9w/C4fE07J5LVxpMZVvpOmOjizZs3irbfe4u7du8nuu3DhAhcuXOCXX36hUaNGLFu2LNOnhKy5N7dv387U44gcyE47hnNdX+eT6G0AfMlo3LgNTiWS17wpWzabTloIkWb22jiEhTHyyRbMjR3OIR5nLNNZcOU57f6kK6rkS02+4fAIzrp163j55ZcpXbo0M2bMYM2aNcyYMYPy5ctTp04dzpw5w/bt23nuuef4+++/adOmDdHR0Zlx7vH27dsHJNTJEfmEnVVTGI28efktYihIG36nu9OvWnKhyZSQc7NzpwxXC5GbWUdydu7Ufh4wAEPsPWbxIgALGcqfNNXqXS1erO0jK6ryH+Wgli1bKi8vL3X9+vVE269du6a8vLzUqFGj4rctX75c6XQ6NXHiREcPk8yJEyfUzZs3k23/448/VMGCBZWLi4u6cOFCqp7LbDYrQJnN5nSfl8hGISFK+fkpBdp/9+1Tm4v1VaCUgfvqONWV8vZWat++xPuFhGT3mQshMoLtNcBoVKp0aTWM7xUoVZ+/VSw6bbvRKH//eYQjn98Oj+AcOnSIrl27UqxYsUTbixcvTrdu3Vi5cmX8tl69euHv78+KFSvSG4exbNkyvL296dy5M6+88gpvvfUWHTp0oEWLFty/f5+ZM2ditCaPivzB3V1bIfFg1dT9Hn157cZEAF5mJjX4V/sGZ52akpo3QuQttrVxli0DFxemMB4PzPxDAxbqnoPLl7URXCn+l+84HOBYLBZcXFzs3ufs7Iw5yRunUaNGnDt3Lm1nZ6NVq1Z07tyZU6dO8cMPP/D1119z4sQJ+vbty59//snw4cPTfQyRi1inp/r314agjUZmXuzGSapRgqtM0n8IBQrI1JQQeZl1qiowUEs6Npko5ePCRP1HALyjPibynou2okqK/+U7Dgc4VatWZePGjYmWXYO2FHvTpk3J8mDu3r2Ls7Nzuk4SoGXLlixdupQzZ84QGRnJvXv3CAkJITAwkEaNGqX7+UUuY7tyqk8frtx2ZxKTAJjKOxSJuwFeXlLzRoi8LmltnF9+4eXSy6nMacIprbVnsVjg0qWE4n+yqipfcDjAGTp0KEFBQbRv357ffvuN06dPs2nTJp566inOnj3LgAEDEu1/8uRJSf4VGctOv6nx10YTiSf1OcBQFmhTU8uWJfSckqkpIfIm22mqHTugTBkKOCu+ZDQAM3idM+GeiftUSfG/fMHhQn9KKXr37s3KlSvR6XSJtrdq1YpNmzbFj9hERUXRuHFj+vXrx/vvv5+xZ54O0k08F0ta1C8sjANPvkbD2L0A7OEJnuAvbV9pxyBE/mCn2zgFChBwbzUb6Uhn1rKWrlL8Lw9w5PM7zZWMV6xYwZo1a7hy5QolS5akY8eO9O/fH4PBkKaTzkoS4ORitv2mjEaUghYhP7Gb5gziR37kWa1isYtLQmKh9KERIu9Lcm0AOG0qSE2OY8GZTTzFU6WPyLUhl8uSACc3kwAnl7LzLW2FU196W5bgym3+ozI+XJRvaULkR3ZGd2nWjDct0/iCN6nGvxyhDs5YZHQ3F8uzzTZFPmanqF+M72OMsUwB4G0+xcc5PKGo34AB2jy7BDdC5A92iv9hsfAeH1KScE5SndmMkuJ/+UiaA5yTJ0+ybt06zp49G78tLi6O//3vf/Tv359nnnmGwMDADDlJIez1m/ra/Czn8KMMYbzNp4n7TQUHaysrZKWEEPmH9cuMNQ/HaKRI6YLaSipgMhO5aSms9ahq1kxWVOV1aakkOHLkSKXX65Ver1cGg0F98MEHSimlevTooXQ6XfxNr9erPn36pOUQmUoqGedCERGJKhKHl6mtPIhQoNQCBidUMjWZtJufn1JNmmiPE0LkHxER2t++n59Se/cqZTSq+xhUDY4pUOpN3edKFSiQUNnYZNKqG8u1Ildw5PPb4QDnl19+UTqdTtWoUUO98cYbqk6dOkqv16vPP/9cubi4qE8//VQdOXJEbdiwQdWtW1fp9Xq1dOnSNP0imUUCnFzGzgXrRWYqUKoe/6hYvZNcsIQQCZJ8IVI+PmqjoZMCpQpwV52lgnwhyqUyNcBp3bq18vLyUtHR0Uoppe7cuaOMRqNycXFR06dPT7Tv9evXlbu7uwoICHD0MJlKApxcJkm/mRPFmysD9xUotZ2WCaM30m9GCKGU3T51yttbtWeTAqX6sET61OVSmdqL6vTp03Tu3Bk3NzcAChYsSEBAAPfv36dfv36J9i1WrBidOnXi4MGD6Z1JE/mVnaJ+b10fRyxOdGMV/uyUon5CiMTsFP/DyYlPeRsdcSyjL39d8Utc/E/6VOU5Dgc4165do1SpUom2WX/29fVNtn+5cuW4ceNGGk9P5GtJV04tXsxmfQc2EoAz9/iEMdp2i0VbMQHSb0oIkXxFlb8/mEzU9rnJc7qFALwZOx0VGip9qvIwhwOcokWLJgtYdDodSqlElY2tbt26RaFChdJ+hiL/sl051awZcb37MiZuKgAv8S2VCNKK+km/KSFEUklXVD3oU/VBqZkU4hZ/8QQr6CV9qvIwhwOcChUqEBQUlGjb6NGjU+wYfuHCBby9vdN2diL/sjM1FRjWkiPUxQMzE9C6BePiok1PydSUECIpO1NV3i7XGcMnAIxjGjHhZulTlUc5HOA0aNCAvXv3EhcXF7/N09OTcuXKJds3MjKS7du306RJk/SdpchfUijqNyF2EqBdlIo7R0lRPyHEw6UwVfWW89eUIYxgKvKt5XmtzYPRqBUA7N9fpqnyCIcDnA8//JBDhw7ZnY5K6ty5cwwfPpxhw4al6eREPmWnqN9s8wDOU4EyhPEaX0lRPyFE6tgp/udWxoMPeQ+Aj3kXMx4QE6MVAJRpqjxDelFJL6qcxU6/KbN3NSqG7eI6JZjDCEYwV/u2tXu39hh/f+k5JYRImZ0+VZYnW1I79iAnqc67fMRHDwIe6VOVs0kvKpE72Zmawmjk07ABXKcEVTnJUKefEqamrEnFsnJKCPEwdvpUOcXGMIXxAHzJaC7hJX2q8hgJcETOYWdq6lJMMb7gDQCm8g5OpYolnpqSlVNCiNSwM1XVtdRemvAXt3HT+lVZLNKnKg9Jc4BjMpmYPHkyLVu2pEyZMri6ulK4cGEqVKhAnz59WLlyJflw9kukh49Pwqqp4GDo2ZPJV0dxh0I05U+6skb7hlWmTMJ+snJKCJFatquqli1DV9CFaYwDYA7PE6SvDJcvayPE1qkqH5/sPWeRZmnKwZk1axZvvfUWd+/eTfmJdToaNWrEsmXL7BYAzE6Sg5ND2ebfNGvGaVNBanCCWJzYVbQrzd0OaqsdZI5cCJFWZjOcPq0tTHgwkhNweT4b77WhH4EEMiAhx8/XV7vmyHUmx8jUHJx169bx8ssvU7p0aWbMmMGaNWuYMWMG5cuXp06dOpw5c4bt27fz3HPP8ffff9OmTRuio6PT/MuIfMI2/+bSJbBYGM8UYnGiM2tp7npAWzlVvrxMTQkh0i4qKiG48fODDRuY4jMLgCX05xB1takqnQ5CQiQXJzdztNFVy5YtlZeXl7p+/Xqi7deuXVNeXl5q1KhR8duWL1+udDqdmjhxoqOHyVTSbDMHsm2O5+Oj/nJqpkApPRZ1nOoJDTWtzfGk868QIi0iIrTrh5+f1kl83z6lnJzUAH5SoNRTbFTKxUWpLVukEWcO5Mjnt8NTVJ6envTv35/vvvsu2X2jRo1i1apVXL58OX5b69atCQ8P5/jx4+mNxTKMTFHlMEmmppTJREt28gcteK7gYubdHajtZx02lqkpIUR62ClHcVZfiapxJ7DgzDZa0cpptzaSY61uXKWKXHNygEydorJYLLi4uNi9z9nZGXOSYbxGjRql2MZBiGRTU8AmOvAHLSjIHSbdHQsFCiRfGi4XGiFEWiVdUVW+PBWruzBS9z2gVUtXFou2qGHGDKlunEs5HOBUrVqVjRs3EhMTk2h7TEwMmzZtonz58om23717F2dn53SdpMjDbJeG9+2LKl6CCc7TAa2hpi+hUKJEwtJwWTUlhMgItiuqli6F27d5T03GjWj205hVdNfue/VVWTKeSzkc4AwdOpSgoCDat2/Pb7/9xunTp9m0aRNPPfUUZ8+eZcCAAYn2P3nyZLKgRwggeUPN8+dZbXqcg/drU5goxqIFOvFLw6WgnxAio9gW/2vUCBYvprTTDUbzJQDjmYLl7AU4fz5h5SbIKE4u4nAOjlKK3r17s3LlykT9qJRStGrVik2bNsWP2ERFRdG4cWP69evH+++/n7Fnng6Sg5MDJC2dDsQ+2YI6Ies4QU0m8CEfOn8IpUsnXhqew0oOCCHygJCQhNYweFCRs1ynBHMZxjCnRVrun7e3tIXJARz5/E5zL6oVK1awZs0arly5QsmSJenYsSP9+/fHYDCk6aSzkgQ4OUBoqJZ3Y12qGRhI4FMLGRAxiyLc5BwVKOLtBqtWJV7SuXOnFN4SQmQc22uR0QgxMXx+ZSBv8TnlOM9/VKaAsYy2r7UAoFyHsk2WBDi5mQQ4OYTNtyZL2XJUv7iFM1TiQyYwgY+loaYQIvPZjiYvXgx9+nDbdJWKnOUyZfhON4qRzvPh3j0ZSc4Bsr3Z5tq1azl69GhmPLXIK8xmbbn3g4aaP1305wyVKM41XisZKA01hRBZw5qLExgIAwaAyUQhY0nGu88E4CM1nrv3dNoXLmtwExoquTi5QKYEON26dePbb7/NjKcWeUGSpeH37uuYzERAW57p7nxXqhYLIbKOnerGI3w2UpZQQvFlLsOlunEu5OToA/bv35+q/cLDwxPt26hRI0cP9VCffPIJY8eOBeCvv/6iSZMmGfr8IhPZLg3v2ZP54V05TwW8uMSLzIKwO9rKqeXLtYuOLA0XQmQm65Jx0EZpLl2i4JljvMvHvMhspjCeYdd+wvXUKRg5Urt2gXYtky9eOZbDOTh6vT7R6qnUio2NdfgxKTl58iT16tXDycmJW7duORzgSA5ONkpStfiOKZzHCCKMsnzjPp6Xo6Zq+0nVYiFEVrJT3TjGUIjKsf9iohxf8jqvO32bUN1YGv5mC0c+vx0ewQFwc3OjW7dudldMKaVYtGgRlSpV4oknnkjL0z9UbGwsgwcPpk6dOlSuXJmffvopw48hMoltMl9gIAD/YyRhlMUXEyOiPteqFpcqlZB/s3OnXDyEEJnP01MLcKzVjf38cJkzh/c6TGOEZTZTeYcRlu9xcyL++kXLlrL4IQdzOMCZNm0aEydO5MyZM8yfP59q1aol22fRokW0bNmSOXPmZMhJ2po+fTpHjhzh4MGDfPrppxn+/CITJalaHF3Ul6mh70IcvMeHuHAPSnhrVYtlakoIkdWSTlXpdAwuuYEpl4I5hx+zeJG3q2wEN7eEQAhkqiqHcjjJeMyYMRw8eJDY2Fgef/xxpkyZkqHTTw9z/PhxJk+ezIQJE6hRo0aWHFNkEDtVi2ee60R4XEn8OMsQFmr3S9ViIUR2sa1u7OsLSuHsDO/zAQDTGUvU1bsQEJCohpd8EcuZ0rSKqlq1auzdu5f33nuPDz74gEaNGnHkyJGMPrdELBYLQ4YMoVq1aowbNy5TjyUymO2qKYAdO4j0qc4nkSMBmMQknJ11iZeGKyXBjRAi63l6atcia50uk4lBzsuoxH9cpwQzw3tr1ymjUaubI404c6w0LxPX6/WMHz+eAwcOoNPpaNSoERMmTOD+/fsZeX7xpkyZwpEjR5g/f77DzTtjYmKIjIxMdBNZyHZqyt8fLl3iW/MgblKMKpxiAIu1ZeHWhprW/UJDs/vMhRD5UWhowhSU0YhTmZJMZDIAn/I2ZjwgJgb69JFGnDlYuuvg1KxZk3379vHuu+/y6aefUrdu3TStsnqYI0eO8NFHH/HWW2/x+OOPO/z4qVOn4unpGX/zlSqUWcvHJ2FqKjiY6O7P8HnUCAAm8BEG4hKmpqz7Sf6NECK72HYa370bli2jn2EFVTnJTYrxFa/BlSsJrRt27JDWDTlQhhT6MxgMvP/+++zfvx9nZ2cyuvvD4MGDqVixIpMmTUrT49955x3MZnP8LSQkJEPPTzxCkqrFs8O6cJ0SPMYZ+pXaLlWLhRA5i20uDsCAARhi7zFJp+XifMEb3KSI9sVs8WKpbpxD5YpeVKkdEVq1ahXdunV75H5SBycLJVkafrtrf8pf/ourlGIBQxjivUXrGH7zJpw/L43shBA5h20jzvLliXN2oc6Z5RynFpOYyEQ+SEg0tq78lC9nmSrT6+BktWHDhtndvmvXLs6cOUOXLl0oWbIk5cuXz9oTE4+WpGrx/6724yqlqEAwA/kZwixStVgIkTPZLhufMQN9jx68x4f0ZRkzeJ3Rhm/wcHWFvn21L2ggS8ZzEIdHcNq1a0eHDh149tlnKVmyZGadV6oMGTKEH374QSoZ51R2qhb7EcxlyvC9+xsMj/pS20+qFgshciqzGU6fju9VFWsoQI3YI5ymKlMZxzinz6W6cRbK1G7iW7duZcyYMfj4+NCrVy82bdqU4Tk3Ig9I0lATYC7DuUwZjFzg2aiZWtXipPk3clEQQuQkSRpxGn7bwLtOnwDwOW9yy1JAG4W2rW4sy8ZzhDQlGVevXh0PDw9WrlxJp06dKFeuHJMmTeLChQsZfX4it0pStfhuMW+m6ccD8A5TKcB9KFEiYWm4TE0JIXIi2xVVO3ZAlSr0L/k7fpzlGiX5HyOhSpXE1Y1l2XiOkKYAp3fv3oSFhREYGEibNm0ICwvjgw8+oGLFijz11FMsX7480+rh2Fq4cCFKKekknhPZLg0/f54F51sRFleGsoQylAXaPlK1WAiR09mpbuzkrOMdtMbAn/I2d69FJ65uLMvGc4Q0LxN3dnamb9++bN68meDgYN5//33Kli3Lli1b6NevH97e3rzxxhucOHEiI89X5AZms7b6wNcXduzgnm9Fpka8AMA4puHiVUzLu5GqxUKI3MBOdeNny27DVx/KZcow70qnhOrG1jwcmaLKdhlSB8doNDJp0iTOnz/Pxo0b6dmzJ1FRUcyYMYPatWtnSldxkUPZ5t6EhIBOxw+R3QnBSBnCGM5cKF4cNmyQqsVCiNzDtrpx+fIUKF2Use6zAK1H1T2ctWTjS5ckDyeHyJAAx0qn0/HUU0+xbNkywsLC+OKLL6hevTr79u3LyMOInCxJW4b7J/5jivklAMbwCQWJ0VYk3LolVYuFELmHbS7O0qVw7RrDzF9QhjBCMLKIZ+HaNejZU/JwcogMDXBsFStWjNdff51jx46xd+/ezDqMyEmSdgwPDuangMWcpzyluMLzzNHybiwWbVUCSP6NECJ3sM3FKVMGgILE8DafAjDVMAHLvVhtpMc6VQUyipONMi3AsdWwYcOsOIzITkk7hgcGEmsowJS4sQC8zacUcomDjRsTT02BBDdCiNzBeq16kIeDjw/POy+kBFcJji1PIP0T9pWpqmzncICzYMECunbtmhnnInKzpB3D3dxYUeYVgqhEMa7zAt9puTdVq8rUlBAi97KdqvrlF9xKFuJNPgfgY94ltoyPdq3r21emqrJZruhFldGkknEmsa4wCA5G+Rqpd2k9Ryw1E3q2WCsWWxvTSbVPIURulKRKe6TpJuU5z02KsdTzefq4b9SucdYl476+2X3GeUamVjIWwq4kHcN/C6nGEUtN3Ijm5ZLLElcsDgnRfpbgRgiRG3l6asHNg6kqD2NRXis8D4CPzC8TF3oxIQ9HOo1nGwlwRPolbctgsTCVdwB4njkUd46EkiWhfHlZFi6EyP1sl4z7+cGGDbzqswp3IjlGbdbTSVtModNpX+gkFydbpDnAOXnyJOvWrePs2bPx2+Li4vjf//5H//79eeaZZwi09uYQeVuSjuF/hj/GLlrizD3e4AsIC4Pr17WllZJ7I4TI7ZK2b7h1i6JBfzOK2YBWF4fr1+HUKWnfkJ1UGowcOVLp9Xql1+uVwWBQH3zwgVJKqR49eiidThd/0+v1qk+fPmk5RKYym80KUGazObtPJe8wmZQyGpUC1Zk1CpQaVuhnpbSBXO0+k0mpkBClIiKy+2yFECJ9IiK065nJpJSfn1Kgwgw+qgB3FSj1B08q5eSkXf/8/LT9RLo58vnt8AjOypUrmTNnDtWqVeP111+nZs2aTJo0iS+++IL169fzySefcPjwYdavX0/t2rVZsWIFy5Yty/jITOQM1rYMOh0Ax6nBOrqgI463b0/Wcm1s2zKA5N4IIXI/2yXjD6aqyuxZwbOFVwEPRnEsloRO45KLk/UcjZ5at26tvLy8VHR0tFJKqTt37iij0ahcXFzU9OnTE+17/fp15e7urgICAhw9TKaSEZwMEhGhVJMm2reT48eVatJEDXJdoUCpXizTvrnUqKHd5+en7SujN0KIvML2GmgyKRURoU4/FqB0xCpQ6hg1tGtgRETCSI9cB9MlU0dwTp8+TefOnXFzcwOgYMGCBAQEcP/+ffr165do32LFitGpUycOHjyYEbGYyGlsc2+6dOH8y58ReEerkTSOado+1rYMUrFYCJHXJO00fvo0lc9vpgcrAa3TOLduSS5ONnE4wLl27RqlSpVKtM36s6+dtf7lypXjxo0baTw9kWPZacvw2TNHiMWJdrot1Odg4rYM0jFcCJEX2XYa798fLBbG6j8DYDEDMJ2PhWbNElZcBQbKIoss4nCAU7Ro0WQBi06nQymF7kEehq1bt25RqFChtJ+hyHnstGW4YvBmnhoKwDg1FVxckrdlkKXhQoi8KEmn8YbVb9FKtx0LznzBGwm5ODNmaEGQLBnPEg4HOBUqVCAoKCjRttGjR3Pu3Dm7+1+4cAFvb++0nZ3Imey0Zfi66ETu4koj9tGK7dKWQQiRfyTtNH77tvZFD/ieEVynmHbfq6/KNFUWcjjAadCgAXv37iUuLi5+m6enJ+XKlUu2b2RkJNu3b6dJkybpO0uRs/j4JJqaiuzQh2+v9wXgHaaiA+3bilLavLTk3wgh8jLbXJxGjWDxYtoZtlOPg9zGjZm8rAU2588n1M7x8cnus87zHA5wPvzwQw4dOmR3Oiqpc+fOMXz4cIYNG5amkxM5VJK2DN+FdsKsPKnGv3QptU/aMggh8h/bXJwBA9DFWhij03JxvuEVblkKaF/8Fi+WJeNZxOEAx9PTk4oVK6YqwKlTpw5ffvklTzzxRJpOTuRASdoyxNzXM4PXARjDJ+id9NKWQQiRPyXJxen12GH8OMt1SjCf57RcnAEDYP9+ad+QBTKlF9XatWs5evRoZjy1yG5J2jIEhrfhEt54c5EBLJa2DEKI/Ms2F+frr3E6d4a30EZxPuMt7hsKgqsr9O0ruThZIFMCnG7duvHtt99mxlOL7GbNvzEaUaGhfB77GgCvuS+gAPcT9itTRnJvhBD5izUXJzAQXn8dLBaGGH6iFFcwUY6lsT212mCSi5MlnBx9wP79+1O1X3h4eKJ9GzVq5OihRE5jNmvfNh5MT26mPcepRWGieD7qM+0PVa9PyL/ZuVOCGyFE/hIVpS0Ff1D3xnXxYl7rsIh3I95mOmMZaPkZXdL2De7ucq3MBA4HOE2aNHlk/o1Op2Pt2rWsXbs2fltsbKzjZydyDmvuTXg4rF0L3t58dvlduAfDmUsRzODpo01NdekiU1NCiPzJOk0F2giNhwejvEYzNeIFjlOLLbSjfZUwqFJFS0j299f2l9HuDOdwgAPg5uZGt27dMBgMye5TSrFo0SIqVaokycV5SZK2DEfGLub3vY0xYOE1vtL2sW3LIN9IhBD5kXWaKipKG9Xev5+iQX8zjHl8xet8zpu0v/WC1r5hwADtmgra/nLNzFA6pZRy5AGffPIJEydOpG7dusyfP59q1aol20ev1zN8+HDmzJmTYSeakSIjI/H09MRsNuPh4ZHdp5N7WL9tBAfzrO5HflSD6KtbyhLVL6Etg3Ve2U7bDiGEyFdsrpnnDI/xWOwp4jBwjJrUdDot18w0cOTz2+Ek4zFjxnDw4EFiY2N5/PHHmTJlikw/5XVmszZP7OsLgYGEGsoRqLTCfm+pT7Ul4bt3S1sGIYSwsl0y7udHhd++o4frJoDE7RsCA7W8RlkunuHStIqqWrVq7N27l/fee48PPviARo0aceTIkYw+N5ET2Na9CQmBKlX4psh7WHCmJTtowD/g5iZtGYQQwpbtkvG1a2HCBN5w+x8APzOQy5TW8nDc3KQmTiZJ8zJxvV7P+PHjOXDgADqdjkaNGjFhwgTu37//6AeL3CNJ36nIf87w3Y3eALzJ59o+p09rN2nLIIQQGtv2DZ6eEBZG02vraMqf3MOFb3lJC2gCAqQmTiZJdx2cmjVrsm/fPt59910+/fRT6tatm6oqxyIXsH6bsOk7Na/dEiKVB1U4RSfWJ+Te9O8vbRmEEMKWtX2DTarrG3wBwGz9S9wOva6V1TAatessyChOBsqQQn8Gg4H333+f/fv34+zsjIN5yyInsp2aAggMxGJwYUbcK4A2eqN3KQAbN0rujRBCpMSai2MygY8P3Z3XU4FgrscVYxHPJux36ZJMVWWwDK1kXKdOHQ4fPkxcXFyOXUElUinJ1BRubqwo8womylGScJ7hRyheXHJvhBDiYWxzcX75BUPJYvGlNb5kNHFlymrXUmnfkOEypVVDZoiIiODVV1+ladOmeHl54eLiQtmyZWndujW//PKLjBplNGtLhgejM6pjAJ9efgaAl5lJQWK06SmlJPdGCCFSYpuLU6YMODnxHPPxJIL/qML6O63g6lVp35AJ0hzgnD17lgkTJtC8eXO8vLxwdXXF1dUVLy8vmjdvznvvvUdQUFCGnei1a9eYP39+fJHBN998k44dO3LixAl69erFyJEjM+xYAm2IVKeL7zu1M6QCBy21KcgdXiy5QvsDtLZkkNwbIYRImaen9mXwwVSVu7EYz7v9DMAXEc9p01jWPBxr+waZpko/lQZTp05VBQoUUDqdTul0OlWyZElVsWJFVbFiRVWyZMn47QUKFFBTp05NyyGSsVgs6v79+8m2R0ZGqurVqytAHT9+PFXPZTabFaDMZnOGnFueExGhVJMmSvn5KbVvn1Le3qozaxQo9QKzlPL2VqpePaXKl1cKtP1CQrL7rIUQImcKCdGuk9br5fHjKqRya+XEPQVK/UM97boaEqKUyaTt06SJdi0WiTjy+e3wCE5gYCDjx4+ncuXKLFmyhBs3bhAeHk5QUBBBQUGEh4dz48YNAgMDqVSpEu+++y5LlixJdyBmMBhwckreWcLd3Z2nnnoKIENHjPI12/ybnj05e9WDX3kagNeZAWFhcP261ndKcm+EEOLhbPNwduyAW7fwCd5FX5YCDwr/Xb+utW+wFgeUXJx0c7hVQ+PGjbl+/TpHjhzBzc3toftGRUVRt25dSpQowb59+9J1oim5e/cuTZo04ejRo5w+fZpKlSo98jHSqiEVQkKgWTMwmXidL/mK1+ngso2NMW20+41GrXqxTid9p4QQ4lHMZi1gsU5VBQdz0NCQ+rH7ceI+56iAj9MVad/wCJnaquHEiRP06NHjkcENaKMrPXr04MSJE44eJkURERFMmjSJ999/nxdeeIHKlStz5MgR3n///RSDm5iYGCIjIxPdRAqsbRke1DKKxJ35PAfAazGfaLk2RmNC/g1IcCOEEI9ivU7atG94/Lep+Lv8hQVnvuEVad+QwRzuJl6gQAHMDrzokZGRFChQwNHDpCgiIoLJkyfH/+zs7Mynn37Km2++meJjpk6dmugxIgXW2jfh4VppcW9vFkY8S1SkB1U5SXs2g2d1bWqqSxeZmhJCCEdYp6pAu8YOH84bblXYEdOUOTzP+3yAW5UKCe0bSpWS1anp4PAITpMmTViyZAlHjx595L5HjhwhMDCQpk2bpunk7ClfvjxKKSwWC+fOneODDz7g3XffpWfPnlgsFruPeeeddzCbzfG3kJCQDDufPMU296ZLF+I++Iivbw8D4FW+Ro/SWjLcuiXLwoUQwlF22jd0urGIigQRQVF+YpC0b8hADufg/P333zRv3hy9Xs/AgQNp164dlSpVwvPBB53ZbObMmTNs3ryZxYsXExcXx+7du2nQoEGm/AIAn376KWPGjGHWrFmMGjXqkftLDs5DhITED6Gu03elS9xqinCTUHxwc7on88NCCJERbPIcv+JVXucrqjud5rilKjpIyHOU62wiDn1+p2WZ1vbt21XFihWVTqdTer3e7k2n06mKFSuq7du3p+UQDjl8+LACVJ8+fVK1vywTtyMiImGp9759Sjk5qTZsUaDUW3yiLQnfuzfxUkdZGi6EEI6zXTZuNKoI72qqMJEKlPqd1vHbVUiIdpPl4vEc+fx2OAcHwN/fn9OnT7Nt2zZ27NjBmTNn4vNyPD09qVSpEi1btqRNmzYYDIa0HMIhYWFhAHaXkYtUsM292bEDqlTheLlObD3bFj2xvMxMcHNPaMvg7y/5N0IIkVZJcnE8+/ZlSNhCZvIKX/MqbbxPgbe3dm225jtKSoDD0hwRGAwG2rVrR7t27TLyfFJ0+PBhKlSoED8VZnXjxg3Gjx8PQMeOHbPkXPKcpH2nFi/m6yt9AejOKsphgtNOWv5No0ba/LEsDRdCiLSx5uJERWl1xU6f5mVmMpNXWEdngvkUvw8nacFNcLD2mKgoueY6yOEcnOzy+uuvM3fuXFq1akW5cuVwc3PjwoULrF+/nujoaHr27MmyZcvQ6x+dNy05OHbY5N5cN5TCJ/Y8d3FlF81p7rRXcm+EECKj2Vx3cXKio2Utm+jIG3zO507j5LprR6bWwckuvXr1onfv3gQFBfHjjz/yxRdfsH37dpo1a8bixYtZvnx5qoIbYYe171RgIDg5MSf2Oe7iSj0O0szXBBs3xjfdxN9fq5MjhBAi7UJDE9XEYfduXi2lVTaexzCiLS4JNXGkP1WapHmK6uzZsyxYsICdO3fazcHx9/dn8ODBPPbYYxlyos2aNaNZs2YZ8lzCRpLaN/cr1+Dbf18C4DW+Qhdrgffe02o2SO0bIYTIGLZ5ODt2gIcHT5X4h0rh/3GGyiziWV6ssguqVEkY6ZFcHIekachj2rRpVK9enSlTprBnzx7i4uIoW7YsZcuWJS4ujj179vDxxx9To0YNpk2bltHnLDKSbf5NQAArLz/BRXwoxRX6sUSbHw4L0/6gpPaNEEJkDNuaOL6+cPo0+v9O8QrfAPANrxAXfVv6U6VDrmm2KTKJj4/27eFB+4WvbgwC4IXCP+PCvYT9lNL2leBGCCEyhqendl0NCYH+/cFiYbDhZ9yJ5BTV+P3CY1qtHOs01o4d2v4iVXJ9s820kCTjB6zN3wCefJK/TaVoxN84cw8TRrx8nEGv1/pO+flp3zTkj0sIITJOaKjWlsEaxCxezGvt/uXrqKF04ld+pbOWi7Nnj7aKNTQ0X69izdPNNkUGsebetGyp/b+3NzNdxwDQl6V4cUX7A9qwQfujk9wbIYTIeNZcHOsITdWqvFx6OQDreZozPKbl4VhzcVq21K7dknD8SA4HONndbFNkkCR9p669PZ2ldzoDaIX9QPpOCSFEZrOTi1Pp/BYCWA/At7ykXYclF8dhua7Zpsgg1tybB8u/5/XeSAwFqc8/NGK/NiRqsWjzwkpJcCOEEJnFTi7Oq/pvAZjPc0Sdvya5OGngcIAzefJkYmJiaNKkCSNGjGDZsmUcOnSI4OBggoODOXToEMuWLWP48OE0bdqUe/fuMXny5Mw4d5FWZrM2j+vrC4GBxBoKMDtuJAAvMRNd+fJakzepfSOEEFkjSV2cdpvepIpTEFF4sJAh2hdOa10cnU6mqFIhTZWMd+zYwfDhwwkODkan09ndRymFn58fc+fOxd/fP73nmaHydZJx0r5THh6sqz2eLqZvKcZ1QvHBtUZFLaEtMlJqLwghRFZIUpOM4cP59mQrXjZPoSon+Zfq6GrUgKVL83V/Kkc+v9PcqiE2NjbHNNt0VL4OcOxk7Hfwv8tvd1vyFp/yKWMkY18IIbJDkpWtkaablOUi0bizjVa08gnK9ytbsyTAyc3ydYADifqfnDFUpXLsSXTEEcRj+DmFSP8TIYTITiEhWs6NycSLfMtsXqRXwV9ZfldbCILRqKUR5MPrc57sRSUySJK+U7NjRwDQkY34GWOl75QQQmQnay6OyQRGI6NKrwJg1d0OhFEmYT+dTvpTPUKaA5yzZ88yYcIEmjdvjpeXF66urri6uuLl5UXz5s157733CAoKyshzFellW/vGzY3bleqwgKEAvMS32siNte+U1L4RQoisZ1sXZ8MGapW4RHN2EYsT3zMCvL21m9ksNXEeIU1TVNOmTWPixIncv38fgBIlSsQPFUVGRnLt2jUAnJ2dmTx5MuPGjcvAU06/fDtFZZt/YzQyN6oPI25+SgWCOUMlDMRpQ5979mj7S+6NEEJkPWsuTlgYPPkkSyw96c8SvLnIed8WOM//H4wcmZBLmY9ycTJ1ikp6UeViNn2nlMnEtzcHADDK42ctuLGSvlNCCJF9PD216/CDmjg9DGspxRXCKMvakLrQsaPUxEkF6UWVn0ZwQBvFefJJ/jSV5Un+pCB3CMWH4sbC2v35ODtfCCFyBDurXSd0OMDHES/Rmq1spW3i1a75iPSiEslZi/u5u4O3N7Nc3wSgH0sozg34/vuE4n6SeyOEENknaX+qxo15/pta6IllG204SdWE/lQgycYpkF5U+YFtcnFkJOHTF7D8ztPAg+Ri0ApHRUZK3ykhhMhuSftTnTiBcXh7OrMOgO94QetPFRkpDTgfQnpR5Qe2jTWbNWNul7Xcw4VGBQ7RwPuStk9MDAQESN8pIYTICWz7UwUEQEwMo5gNwELdUG6dD9dq5Vh7VEkDzmQczsH5+++/ad68OXq9noEDB9KuXTsqVaqE54MPRbPZzJkzZ9i8eTOLFy8mLi6O3bt306BBg0z5BdIiX+bgPCgcZTFdxI9gQjDyQ7HRPHtjhrZyCiT/RgghcpIkK1/jlI7KIb9zlseY4/k2I8yfafvlo8J/mV7JWHpR5SLW5YY+PnDiBGvqTqSbZQXFuUYoPhQsXwZ27dL2lb5TQgiRcyTtHRgZyefNVvFWxATqcoiDPI7OxQX++Ue7ZueD0h7Si+oR8k2Ak/SPw9eXgEZX2fh3Sd7mEz5hLNSooWXie3pK3ykhhMhprF9S3d2hQweun4/C5/Lf3MWVP2lK098mQ7Vq+eYLqvSieoR8E+AkWWp4/rMV+PWog0LPGR7jMc7m26WGQgiRqzwo8YHJxFDms5ChDOJHfjRO0O7PJykG0otKaKyF/R70lprbcyMKPW10WxOCG4tFKyYVEpLdZyuEECIlNmMRLzILgGX04arpdnzfKin6l1imBjixsbGYTCZMJlNmHkbYY6174+sLgYHcNxRkntL6To1U30H58gl1b6SxphBC5FxJGnA29LlMA/7mHi7x/QQBacCZRKYGOEFBQZQvXx4/P7/MPIxIyrbuTUgIVKnCOu+RXKYMpbhCV9aAmxtUrZowwiPF/YQQImdK0oATT8/4JePfM4K4MmWlAacdmRrgODs7YzQa8c0HS9dyFNu6N/7+cOoU/7vaA4DnmE8B7sPp09rN11eK+wkhRE5mW/jv1i04fZq+LMWdSIKoxI7Y5vDhh1rBVqmJE0+SjPNqknFIiBbcBAcTbKhExdj/ADiLH35OIVrujbUMuASgQgiR89lc13Fy4kXLV8zmRfqyhCVOz+SL67okGed3ZrM2FxsYCE5OfB+rzdG25zf8jLGwcaPk3gghRG5izcOxNuDcvZvny/wKwEp6cNVSRFs4EhioBTeSiyMBTp5jm3/j5sa9SjWYz3MAjOR/WoT/3nuwdq3k3gghRG6RtAFn1arULWaiIfu5TwEWMiShAaf0pwIkwMl7bPNvAgJYc6UJ4ZTGi0tao7awMO3m6Sm5N0IIkVskbcD5II/yeeYAMIfnUdG34NSphJGefJ6Lk+YA5+zZs0yYMIHmzZvj5eWFq6srrq6ueHl50bx5c9577z2CgoIy8lxFalhr3xiNYDLxvxu9ABhWeBnOWBL2U0rbV4IbIYTIHWwbcPbvDxYL/QwrEpKNL5RPaL5pHenJx3Vx0hTgTJs2jerVqzNlyhT27NlDXFwcZcuWpWzZssTFxbFnzx4+/vhjatSowbRp0zLkRC9evMiMGTNo3749RqORAgUK4OXlRc+ePdm3b1+GHCPPeNAf7AyPsZW26IhjRPQXWtDzIPCR3BshhMiFkuTiFN7zGwPd1wHaKA4WS+JcnHzM4QAnMDCQ8ePHU7lyZZYsWcKNGzcIDw8nKCiIoKAgwsPDuXHjBoGBgVSqVIl3332XJUuWpPtEv/nmG0aPHk1wcDDt2rXjzTffpFmzZqxZs4YnnniCZcuWpfsYuZ61uJ+7O3h7M8ftDQA6sIlymOD77xOK+0nujRBC5D5Jc3EaN+b5aVqtuZX04ColEnJxIF8nGzu8TLxx48Zcv36dI0eO4Obm9tB9o6KiqFu3LiVKlEj3KMvKlSspWbIkzZs3T7T9jz/+oE2bNri7uxMWFoaLi8sjnytPLhNP0lgz5loUPg1Kcy2uOKvpSlfWQj7rOiuEEHmStQGnjw+cOAH169Mw5g8O0JDPeJM3y6+EXbu0ffNYE85MXSZ+4sQJevTo8cjgBsDd3Z0ePXpw4sQJRw+TTI8ePZIFNwDNmzenVatW3Lhxg2PHjqX7OLmWbXJxs2asbDeba3HFKWu4RKcyh7R9YmIgIEDLv8kDb3QhhMiXbHNxAgIgJiYh2djpRdT581oujjUfJ58mGzsc4BQoUACzA8NdkZGRFChQwNHDOMTZ2RkAJyenTD1OjpY0ufh6TwCGuy3B6VKI5N8IIURekqQ/VT+fPRQmiv8sFdlVvIe2PZ834XQ4wGnSpAlLlizh6NGjj9z3yJEjBAYG0rRp0zSdXGqYTCZ+//13vLy8qFWrVqYdJ0ezbay5YQP/OddgJ/7oiWVY5BcJjTUl/0YIIfIG21yc3btx37ScAYXXAjDnutaaBxcXrXeVTpcv83AczsH5+++/ad68OXq9noEDB9KuXTsqVaqE54MpD7PZzJkzZ9i8eTOLFy8mLi6O3bt306BBgww/+fv379O2bVt27drFokWLeOaZZ+zuFxMTQ0xMTPzPkZGR+Pr65o0cnCS5N/j6MrbPOT5ZXoFO/MqvdIYaNWDPHm1Y05qELFNUQgiRu1lzcdzdoUMHDgZ5UP/abxQghouUpcRvi6FatTyVh+NQDq1Kg+3bt6uKFSsqnU6n9Hq93ZtOp1MVK1ZU27dvT8shHik2NlYNGjRIAWrEiBEP3XfixIkKSHYzm82Zcm5ZKiREKT8/pUApPz91b/c+VdoQrkCplXTTtjs5KbVvX3afqRBCiMwQEqKU0agUqPr8rUCpzxmtbXuwXfn5afvlcmazOdWf32luthkbG8u2bdvYsWMHZ86cic/L8fT0pFKlSrRs2ZI2bdpgMBjS8vQPpZRi+PDhzJ8/n0GDBvHDDz+g16c825anR3AgUQO21foedI/7hVJcIRQfnJ3IFw3YhBAi3woJ0RKKTSbmMIKRzKGKUxAnLZXQgZaHs3t3nrj+OzKCk+u6icfFxTF8+HAWLFhA//79+fHHHx0OovLUMnHrEGVYGDz5JJ0tK/mVzrzNJ3xi/BbmzYORIxMqW+7cmS+TzYQQIk8KDdX6TgUHg9FIlMWVMmEHuEVhdtKCFvyhBTh79mj75/IUhTzbTdw2uOnbt2+agps8JUljzYt+zdlAAADDmCeNNYUQIq+zTTbesAH3ok70JxCAeQwDb2/tZjbnuwacuSbAiYuLY9iwYSxYsIDevXvz008/5e/gBpI11vzh8lPEYaAZf1CF/6SxphBC5HW2TThv3YLTp7UvuMByehOpLwIffghduuS7mji5pnDMBx98wMKFCylcuDCVK1fmo48+SrZPt27dqFu3btafXHax1r5p1ow4Uwjz0WrfDCuyEiJs9lMqT8y9CiGEsMPTEyIj4xtwNjb8Q7XYfzlJdZaEPsnzHTsmzsXMJ2kKuSbAOX/+PADR0dF8/PHHdvcpX758/gpwIL6x5k5acpbHcCeS3hFztDlXSCjsJ7k3QgiRNyVpwKlbvJhhAat560Z15vMcz1u+z5cNOHPNFNXChQtRSj30NmTIkOw+zayTpLHmPNeXAehPIG7clsaaQgiRX9hpwPnM7Cdw4j77aMIJqufLBpwZGuDs2rWL//77LyOfUthjm1wcGcnNz+ez4k4nAIYzV9unSxdtyFJyb4QQIm+zzcPx9YUTJyj1bAc6sw54kGx865b2mRASkm+SjTM0wPH392f69OkZ+ZTCniSNNRc/vZgYClLL+SQNyoRp+0hjTSGEyD/sNOC0Jhv/qB/MvfMX810DzgyfosplZXVypySNNefd7A7A8MJL0F0Kk8aaQgiRHyVpwPmU70nKEMa1uOKsKzo43zXgzDU5OOKBJI01Dzo35hCPU4AYBt6cKY01hRAiv0rSgNNp4zqGeKwEYP7Nbto++agBpwQ4uYlt7k1ICNSowbwOywDowUqKcwPc3MDDQwuAJP9GCCHyD9tcHA8PGD6coQWXALCJDlzEWyv86uGRL/JwJMDJTWxzb/z9ubNzPz+vLwIQP9fK6dPaDbThRwluhBAi/7Dm4jxo4VMpfA8t2EkcBn5gMIwYkW/ycCTAyU2suTd+fhAczC+tv8Uc50F5ztGabVqdA4tFK/YUEpLdZyuEECK72OTDPsd8AOYbRhBnCsk3eTgS4OQ2vr5asSYnJ+bFDQG0N6/er0JC3s2DER5JLhZCiHwoSbJxL599uBPJ2dgK7KJFwn4PCsXmVRLg5BbW5GKAKlUIrtCGHbRCRxxDWAizZ0PjxgkjPJJcLIQQ+VOSZGO3eV/HN+Ccz3MJDTjd3fN00T8JcHKDpMnFkZEsCu8AQDu24EuoVtjvxAlJLhZCiPzONtk4MhK6dImfplpBL8z6ojB3rnZfHk42zjW9qPK1JIX94pSOH8zbARhSZI3WWNNa2G/37nzVa0QIIYQd1gacD4r+NWI/NZxOccJSlSWhTzIyIEDbz2TS/hsVlee+FMsITm6QpLDfrpDynKcCHrpIukUskMJ+QgghEkuSh6MzGnnOMgeAec4v5Iuifxka4BQrVgx3yfvIeGazlgy2YQO4uLCQIQD0U4G4Gktp26WwnxBCCKskeTjs3s0zvjtx5h5/36/HcWokFP3z9c2TuTgZOkV17dq1jHw6AQn5N+HhsGMH0UvXs6JbYwAtudhigeHDE+Zb3d3z3DCjEEIIB1nzcKKitNEZs5mSHjE8za+sogc/MJhP19aBGjW03E5/fy0gykP5mzJFldMlyb9Z/txGblGYypymCXshLEy7Wd/EeeSNKYQQIp2sRf8gvgjsYH4A4CcGYXnhZdi3Twtu8mDhPwlwcrok+TcLb3QGYIj7ShJVMJAmp0IIIewJCdEKwFosdDRsoQRXuUwZtpyrmFDV2M8vz+XiyCqq3OBBMaaz+LGLluiJ5Zmob7WgBxKSi3fuzFNvTkfdv3+f2NjY7D4NIUQOYjAYcHZ2zu7TyD7WZOMHQUyBxYsZ2P5XvoocykKG0NGySauCHxiY51bgSoCTk5nN2nChuzt4e7PoRm+I1mrf+HARvv8NqlVLmDvNp8nFkZGRXLt2jZiYmOw+FSFEDuTi4kKJEiXw8PDI7lPJetZkY9BGaHx9GTw1jq9egjV05SZFKFqlLFSpou0TGppncjl1SuW/uY3IyEg8PT0xm8059w2fJLk4LiISv3oeXIj1JZB+9GOplgH/zz/aGzGPvCEdFRkZycWLFylcuDCenp44Ozujy+Plx4UQqaOU4v79+5jNZqKjoylbtmzOveZnJuuXZR8fOHEC9Xh96tzbzzFq8x0jGVl+M+zape2bw5ONHfn8zrIRHLPZjGcOfLFyrCTJxTvvNuVC7BI8dWa6ev0Nl0hc3C+fvrbXrl2jcOHC+Pj4SGAjhEjG1dUVd3d3QkNDuXbtWv4McDw9tVtICAQEoLsXwxAW8iZf8EOB5xl5fo6WiwN5qvBfliUZly1blr1798b/fPDgwaw6dO6UNLk4vCMA/dzW4XopWIr7oeXcxMTE4OnpKcGNECJFOp0OT09PYmJiuH//fnafTvZIUvhvYNmdGLDw1736nC7VPE8W/suyAKdOnTrMmDGD//77D4C33norqw6d+1gba/r6woYNRBUozgp6ATAkeiaULx9fuCk/F/ezJhTn6wRCIUSqWK8T+XYhQpLCf6V/W0SHgjsBWBT+lLaPtfCfTpcniv5lWYDj4uLC3LlzGTt2LJcuXSIfpv6kTtLGmjVqsOLlHdzGjSqcojH7wM0NPDykseYDMnojhHiUfH+dsG3A6eEBw4cz2HUZAIt4llj0sHatdl8eacCZpQFO4cKFmT17NqNGjSIqDxUTylC2uTf+/rBvHwtn3QK0ysU6iC/YBEhxPyGEEKljLfwXFQVhYXS++QNFuUEovmynFYwYkVAXJw8U/cuUAOfOnTvJtm3cuBEALy8vPvnkE65cuZIZh879rLk3fn4QHMzZJ59l193GWu0bftTqFVgsWtGmkJDsPlshhBC5zYMZlILE0I8lAPzgOirP5eFkSoDj5+fH7NmzsVgsdu+vXLkyIfLhnDJfX63okpMTi2IHAFrtm7J+BRPybqwjPPkwuVgIIUQaJUk2Hlz6NwBW3ulAFIUT9ssDU3qZEuB8+eWXfPXVV1StWpXFixdnxiHyLmuCcZUqxFWuyiKeBdD6h3z+OVStmjDCk0+Ti4UQQqRRkmTjRj+8RFVOchs3bTGLt7d2c3fP9R3GMyXA6devH//++y/jxo3jnXfeoU6dOqxfvz4zDpW32CYYnzrFnhvVOE8F3ImkG6uhd29o1UpLApPkYmHH5cuXGTx4MGXKlMFgMKDT6fjnn38y/DhxcXHUqVOHgICAZPeNGTMGnU7H33//neHHzc3Gjh2LTqdj//79mXaMrHztg4KCcHJyYtasWZl+LJGBbJONIyPRde0S34BzIUO0NIi5cyEyMtcnG2dakrFer2f48OGcOXOGoUOHMmzYMJo1a8bu3bsz65C5X5Lifj9ebgtAr9Y3cXWyaLk3x45pCcaSXCySUErx9NNP8/PPP9O6dWsmTJjAxIkTqVmzZoYfa+HChRw9epRJkyYlu+/gwYM4OztTu3btdB3D+mGdmQFBVjp06BAGg4FatWql+Tke9Zpk1GufGo899hgDBw5k0qRJREZGZvrxRAby9NTycAICICaGQfyEjjh20ZJzJr22PS8kGysHHDx4UN27d8+RhyillIqLi1MHDx5UTZo0UXq93uHHZzSz2awAZTabs/tUktu3TyknJ3UHF+XJTQVKbSszQClQyslJ+6+fn1IhIdl9ptnuzp076t9//1V37tzJ7lPJEbZt26YA9dprr2XqcSwWizIajaply5Z27w8ODlZBQUHpPk6bNm2UwWBQt2/fTvdz5QQlS5ZUNWrUSNdzPOo1yajXPrWOHTumAPXhhx9m2THTSq4XNkJCtM8RUMpoVMpoVO34TYFSk9w/1bZb7zOZsvtsE3Hk89uhEZwGDRowbdq0R+63bNkyJk+eTL9+/ahTpw6FChWiQYMGBAcH4+/vn5Y4LP+oUgVq1+ZXfVfMFMEXEy0vBcbPl0rujUjJtm3bAOjevXumHmfDhg2YTCaeeeYZu/dXqFCBihUrpvs4Bw8epGrVqri6uqb7ubJbaGgoV69epV69eul6nke9Jhn12qdWzZo1qVOnDt9//z1xcXFZdlyRTknycNi9myGlNgDwQ1QPFCQU/cvFHcYdCnB0Ol2iN3GJEiWYO3dusv1GjRrF1q1bKVq0KM8//zwbN27kypUrXLlyha1bt6b/rPMia3Kxpyds28aP9WcAMJCf0aNg9mxo3Fhyb0QyCxYsQKfT8dFHHwHg7++PTqejWLFimXK8hQsXotPp6NmzZ7L7li9fjk6n49tvv020PTAwEJ1Ox9y5c9m+fTsBAQEULVqU4sWL069fP65evRq/7yuvvIJOp+PmzZucOHECnU4Xfzt//nz8frGxscybN4/mzZvj6elJwYIFadiwIatXr37oef3666+0bNmSwoUL4+XlBcC6devQ6XR8+umnzJw5k/r16+Pm5oa7uzs9evTg4sWLyZ7TYrHwzTff0LBhQ9zd3XF3d6d9+/bs27cv2b6HDh0CSBbgfP/99/To0QM/Pz8KFSpE6dKlad++PXv27Em0X2pek5Ree0fO05F/J6s+ffpgMpnk2p6b2Obh+PqCry/dvn8adyI5hx9/8oRW9K9GDW3/XJps7FCzzVKlShEUFBT/840bNwgLC0u23/Xr19N/Zkn89NNP/PHHH/zzzz8cO3aMe/fusWDBAoYMGZLhx8pySTqHX7uhZ8PfWnv7Z/hR26dLF61zuPUNJ8QDfn5+TJw4kc8++ww3NzdGjRoFQJkyZTL8WEopduzYQdWqVSlSpEiy+w8fPgxA3bp17W7fvHkzGzdu5Omnn2bEiBFs2bKFpUuXopRi6dKlADRt2pQrV66wfPlyAgICaNiwIaDl9ZUrVw6Au3fv0qVLF7Zs2cLjjz/O0KFDuXv3LsuXL6d79+4sXbqUPn36JDv+r7/+yq5du+jVqxdPPPEETk5Oie6fN28eJpOJHj164O/vz+bNm1m1ahWXLl3ir7/+in++iIgIOnTowL59+2jRogWjRo0iPDycJUuW0KJFC3bt2kXjxo3j97cX4Fy4cIEXX3yR5s2b065dO4oVK8bZs2dZu3Ytbdu25cCBA9R48PeemtfE3mvv6Hk68u9k1bRpU0AbQWzXrh0il7A24AQ4cYJCfZ6mJ7NZyFB+YhBPjhqlrdiFHN9hPEWOzH09++yzytnZWb3xxhtq165dSqfTqcmTJ6dtIs1B5cqVU4AqUaJE/P8vWLAgTc+V43JwksyHziw6QYFSjzsfVcrbO0fPh2anh82px8UpFR2d829xcRnzWpjNZqXT6VS3bt0y5glTcOLECQWogQMH2r0/ICBA6XQ6FRUVlWh7+/btFaCqVq2qzp07F7/9zp07ytvbWxUtWjTR/lOmTFGA+u233+wep1+/fgpQ3377baLtJpNJFSlSRFWuXDnZeQHKx8fHbo5K9+7d4+//77//4rfHxMSo2rVrK0Dt2bNHKaXlFLZs2VLpdDq1cOHCRM+zZcsWBai2bdsm2t6tWzcFqBs3bsRvu3nzprp+/Xqyc1m7dq0C1IQJExx6TZK+9mk5T0f/nZRSKjIyUgGqRYsWds8rp5AcnBSYTNpnC6jfaa1AqaL6myoG5/j8nJyU++nI57dDAc7ly5dV/fr1lU6nU3q9Xun1euXl5aV69OihPvzwQ7Vu3ToVkkkvwJYtW9T58+eVUkpNnTo1bwU4SiV6kzXmLwVKfVlkUqIksJz0JssJHnbBio5OiAtz8i06OmNei507dyog079w/PbbbwpQb7zxht37y5QpoypVqpRse+nSpZVOp1NHjx5Ndl/Tpk1VoUKFEm3r06ePAtSVK1eS7f/7778rQL344ot2z8H62MjIyETnBaitW7fafUz58uUVoHbu3JnsvunTpytAzZs3Tyml1OLFixWgXnnlFbvPVbZsWeXm5pZoW7ly5VT58uXt7p/UxYsXFaCGDh1q9/ey95oolfy1T8t5OvrvZFWwYEHl5+f30N8ru0mAY0eSL9cW3/LKm1AFSq0uOiRHfrl25PPboSmq0qVLc+DAAXbs2MHWrVv5+OOPiY6OZvXq1axatSq+mVmxYsWoW7cu9erVo27dutStW5fq1aunZYApXtu2bdP1+BzLbNaW4D3oHP5fvb7su98EAxb6R8zSOofv2qXtax0mlARjkYR1CiTp1FBGs04/Fy1aNNl9V69e5dKlS/Tu3TvR9suXL3PlyhWefPJJu0ukz549i5+fX6Jthw4dwtvbm1KlSiXbf+bMmYCWW2JvmfqZM2cA4hv6Ws+rbt26tG7dOtn+ERERnD9/nsaNG9OiRYtk9xcvXhyA+/fvAzB//nwMBgNvvvlmsn1Bu/7duHEj/uebN29y4cKFZMnfV65c4auvvmLjxo2cPXuW6OjoRE2IjUZjov0f9prYe+0dPc+0/DvZPte1a9fs3idyMGuyMcCOHRgiIxnQ9Fc+ixrJTzcD6MrC5B3Gc9EUlUMBjpW/vz/+/v58/PHHvP3224wePZrDhw9z6NCh+P/u2rUrPulMp9Pl3xb1D5Mk94YaNfip9xpYDO3ZTGnCwa2GVtjP01NLCHN3z1VvsOxSqBBER2f3WTxaoUIZ8zwp5b5kNOvqHXv95lJKpLVut/clJSwsjPDwcNq3bx+/LTo6mqCgILtFBAF+//13AObMmZPiebq7u+Ph4ZHo+J07d7a7r/X+p556yu79JpMJAF9fX2JjY9mzZw9+fn7xuS9JXb58OVFwYu912b9/Px06dMBsNtO8eXMGDx5MkSJFMBgM7Ny5kx07diT6t3zUa5L0GOk5z9T+O9m6c+cOhTLqzSyyjjXZOCpK+2zp04dnCrrxWdRI1tGZCDwpsnZZQofxXJaHk6YAx2r+/PlUrFgRd3d3mjdvTvPmzePvu3//PsePH+fgwYPxF9/sEhMTQ0xMTPzPOaYoVZLO4ernxfy0TEsMjU8utnYOb9Qo1zc+y0o6Hbi5ZfdZZJ1Dhw5RrFixRB9YxYoVY9asWfTr1y9+25IlS3j99dc5e/Ysbml4gUqWLAmQ6Ju/7TlAygnGjz/+eLLHHDx4EEj84X/kyBGUUnaXVEdERBAdHU3Xrl3trpayx3pe1sTcpKznl3TExGrTpk0UKFCA5s2bc+PGDe7cuZPividOnODq1at07do12fGtv49SikGDBhEbG8s///yT7PVq06ZNov3h4a+J7TGsz5WW83T038kqLi4Os9kcnxAtchlrsnFoKISFUfuqiVoc5Ri1WUEvho8Yoe33INAnKirXBDjpqmQ8ZMiQREGNLWdnZ+rVq8ewYcP45ptv0nOYdJs6dSqenp7xN9+csq4/SefwPc3Gcs5ipDBRdGWNdA4XqXLv3j3+/fffZB+UNWrU4OTJk/E/x8bGMnHiRCZMmJCm4Mb6nHq9Pn4ayNajVlDZ+3C0fnDaPubo0aMA1KlTJ9n+1ikcR6ZDHnZ8SAgOzHaWwe7cuZP9+/czaNAg3N3dKViwIKBNO9kzffp0AJ599tlkz289flBQEGfOnCEgICDZa3XkyBF27NhB0aJFE428POw1sf0drc+XlvN09N/J6syZM8TFxaWrQrPIAWymRwfxEwA/FXguV3cYz7RWDTnJO++8g9lsjr/lqE7mNp3Df4rVvmn35BcK+ZWRzuEiVY4fP879+/eTfTAlDXAWLFjA/fv3ef7559N8rCJFilC7dm0OHDiQKF8EtA/I0qVLJ1uefvjwYUqUKGH3i4W9D05rnk/hwoWT7V+0aFEqVarE3r174wsb2oqJiWHv3r3Jjl+yZEl8UrgwWwOQwMBALBZL/Pbz588zePBgSpQowQcffABoU1+1atXiyJEjHDt2LNHzfPnll/z444/07t070Re/Q4cOUbJkScqWLQuAi4sLoAU6tq/hmTNn6NWrF3Fxccn+LR/2mlh/R9vXPi3n6ei/k5W1nk7Lli3tnpvIBZJ0GO/vvQsdcey89wQmbN4Pua3DeCYmO2eaPLGKKiIiYTVURIS6W62uKsp1BUr9TmulrEtBTSYty71JE+0xIp6sitDMnTtXAerHH39MtP2bb75RNWvWVEopdffuXeXr66sWLVqU7uNNmjRJAWrfvn3x227duqX0er166qmnEu1r3d6uXTu7z+Xr66vKlSuXaNuvv/6qAPXYY4+pcePGqYkTJ6pdu3bF379q1ar4VZydO3dWY8aMUS+99JLq2rWrKlq0qBo2bFiy47dv397u8e/cuaOcnJzUE088oYoXL65q166t3nzzTTV48GDl7u6u3Nzc1Pbt2xM9ZvXq1Uqn0ykPDw81YsQI9fbbb6uGDRvGL7u2baNw+/ZtZTAYkh2/cePGClDNmjVTY8aMUb169VKurq6qZ8+eClBvvvlmql+TlF57R84zLf9OVoMGDVIGg0FdvHjR7v05hVwvHiIiQvuM8fPTPnN++021YqsCpaYyVitXYv0MCgnJ1s+iTFsmnlPk+gAn6ZvJZFK/lBypQKmyhCgLeqVcXJQ6flzbP5vfUDmVXLA0L730kgLUsWPHEm3ftm2bKlCggLJYLOrLL79UNWvWVLGxsek+XmhoqDIYDImWH//1118KUGPHjk20b0rblVLq2rVrClBdu3ZNdt/UqVNVhQoVlJOTkwLUsmXLEt2/c+dO1alTJ1WsWDHl5OSkSpcurRo0aKDGjh2rTp06larjK6XU/v37FaDGjx+vDhw4oJo3b65cXV1VsWLFVN++fdXJkyftPm79+vWqadOmqmDBgsrDw0M1adJEfffdd8le371799o9fmhoqOrVq5cqWrSo8vDwUO3atVNbt25V3333nd1g9WGvycN+x9SeZ1r/nW7duqUKFy6c6fWXMoJcLx7BGrwcP66Ui4uax1AFSlXnuIrzNWrbc8AXbglwHiHbAxw7jc66sVKBUmMKz8yRtQdyIrlgPVx4eLgC1D///KNKlSql1qxZk+j+p556SrVs2VI1bdpUubq6JipC9yj9+/dXxYsXV9EZVcgnm8yZM0cBaunSpdl9KrnSvHnzUqwflNPI9SIVbOqxReChCnJbgVIHqZtj6rFlWrNNkUGsycVGI5hMXDdFs55OADwTPVvb/uA+yb0RaVWyZElKlizJiy++SMWKFenSpUui+zdt2sS6devw8fFhy5YtdmvbpMRaAytp36PcJqvqB+VFFouFKVOm0KVLF7v1g0QukyQPx9NYhC6sBeAntxdyZbJxupaJZ6W5c+eye/dugPikublz57LjQa+Mbt260a1bt2w6uzR4UNiP+vVZFtOH+xSgLoeo6XcHdmi/pxT2E+lVs2ZNtm/fHv93Yuvy5cu88MILTJ06lWrVqjn0vBUqVOCHH37I9cXdDh06hJubG4899lh2n0quExoayqBBg1LsKi9ymSRF/wAGNfyAZVf6svhWFz7hRQwuzrmrw3gWjChliMGDBysgxdvEiRNT/VzZPkVlm2D822/qSf5QoNRnvKHUqlUJc5uSe/NQMuScdqdPn1ZdunRRoaGh2X0q2SY2NlYVKlRINWnSJLtPRWQBuV6kgu1nk1Iq5tfNqjhXFSi1mbYJi1+UyrbPJ0c+v3VKJVnrmQ9ERkbi6emJ2WyOr3aaZWyrFy9ezIXeb1E+5A90xBGCL2WdwqFWLdi+PdcUU8oud+/e5dy5c1SoUCG+7odIHR8fH0qVKhX//v/ss89o0KBBNp+VEJlHrhcOOnEC6tfnpZjPmcVLPMsP/OD3QbZ3GHfk8zvXTFHlGbbVi5s1Y4nlDQD8a16n7KlwrbDfsWMJ1YuFyAShktclhEhJSAgEBEBMDIP4iVm8xC+6XswKfhG3Zs20fXJBZWNJMs5qPj7xhf2wWFjMQAAGXP5CC25sqxfLh5AQQoislCTZuIlvGBUJ4pZyY02RIbkq2VgCnOxQpQrUrs1xQx2OUhtn7tHz2nda1WJr9WJJLhZCCJHVrMnGDz6PdHt2M6jIegB+jHha28faYTyHJxtLgJOVzGYtOvb0hG3bCOy2FIAANlCUCJg9Gxo31rqG56KOrUIIIfIIa4fxnTu1AMbDg4EfVwdgC+24SglYuxZq1NA+z+z0cMspJMDJKtbk4pYtISQEZY5k8ZpCAAxgsbZPly5aYpePjwQ3Qgghsoenp/Y5ZDZD69ZUei2A+hwgFidW0AtGjYJ9+7TPsw4dcmyQIwFOVkmSXLy30auct/hSWBfN017/aPvExGiJXTmpGagQQoj86fRpOHoULBb667UZh8CCQ+M/xwgO1j7XoqKy+UTtkwAnqySpXrz4SmsAurv+RqHLwVK9WAghRM4RGqotdnmw+KVvXCA64vjjbiNMhgoJi2ICA3NsorEEOFnpQfViS4FCLKUvAANuf5+QXCwJxkIIIXKCJMnGPn4utGAXAEtje2rBTa1a2qKZHEoCnKxgTS4GqFGDrRN3cZVSlCScNmzVkot9fbWbJBgLIYTIbrbJxo0bw+zZ9CcQgED6w/LlCQVpc2iysQQ4mS1JcjEhISyeegGAPizDGUtCcjFIgrEQQoicwZpsfOIEdOlCL1bgxH0O8TinXvkWIiO1z7UcmmwsAU5mS5JcfOeJNqyMbgfAgBJbtH0kuVgIIUROZFPVuDg3eMplJwCBoc20ROMcnGwsAU5mS5Jc/GtoHaJxp7whhKbX1kpysRBCiJwpSVVjjEb6xywAINDwDCqHVzWWACcrPEguxsWFxQwAoH/sj+gkuVgIIUROlSTRmN276Vr+KK7c5kysHwd5PEdXNZYAJ7NZE4xr1ODmzxvYQADwoLjf55+Dh4ckFwshhMh5klY19vWl8P8+pzPrALQv7NaqxpDjko0lwMlMtgnG+/ax8oXN3MOFWhylJiegd29o1UrbT5KLRQa4fPkygwcPpkyZMhgMBnQ6Hf/880+GHycuLo46deoQEBCQ4c+dU40dOxadTsf+/fvjt40ZMwadTsfff/+djWeWtXLC7xwUFISTkxOzZs3KtnPIN6yJxhCfbGytvr+UvsS98GL8ApqclmwsAU5mSpJgvPjag+TiQYaEruHHjmnVIoVIJ6UUTz/9ND///DOtW7dmwoQJTJw4kZo1a2b4sRYuXMjRo0eZNGlShj93TnXo0CEMBgO1atWK33bw4EGcnZ2pXbt2Np5Z1sqI39kaJNkGi4547LHHGDhwIJMmTSIyMjLN5yEcYJNs3IFNFNFFcBEf/jhXNucmG6t8yGw2K0CZzebMP9i+fUo5OamLlFE6YhUodc63uVKglJOT9l8/P6VCQjL/XPKYO3fuqH///VfduXMnu08lR9i2bZsC1GuvvZapx7FYLMpoNKqWLVtm6nFympIlS6oaNWok2hYcHKyCgoKy6YyyR0b8zm3atFEGg0Hdvn07zc9x7NgxBagPP/wwVfvL9SIdQkK0zylQymhUymhUzzFXgVIjCy3StlvvM5ky9VQc+fyWEZzMVqUK1K7NUv0AFHqeYA/lQ/5ISNqS5GKRQbZt2wZA9+7dM/U4GzZswGQy8cwzz2TqcXKS0NBQrl69Sr169RJtr1ChAhUrVsyms8oeGfE7Hzx4kKpVq+Lq6prm56hZsyZ16tTh+++/Jy4uLl3nIx7BTrJxf68dACy/HcA9nHNksrEEOJnFmlzs6QnbtrH0sfEA8ZUgmT1bqw4pycUinRYsWIBOp+Ojjz4CwN/fH51OR7FixTLleAsXLkSn09GzZ0+792/cuJEOHTpgNBpxcXHB29ubtm3bEhgYmGi/77//nh49euDn50ehQoUoXbo07du3Z8+ePcmec/ny5eh0OmbOnMnGjRvx9/fH3d0dLy8vxo0bF/8BFxgYSJMmTShcuDDly5fn66+/TvZc69atQ6fT8emnnzJz5kzq16+Pm5sb7u7u9OjRg4sXLyZ7zKFDhwASBTjWc/r222/jtwUGBqLT6Zg7dy7bt28nICCAokWLUrx4cfr168fVq1ftvmZRUVG8++67VKxYkYIFC1K7dm1WrlzJH3/8gU6nY/LkyXYfl97fC8BisfDNN9/QsGFD3N3dcXd3p3379uzbty/Zvun9nV955RV0Oh03b97kxIkT6HS6+Nv58+fj90vte6hPnz6YTCa2bt36yNdHpIOdZONW85+hNJe5QXG20C5HJhs7ZfcJ5EnW5OLwcNixg/MhBvb9542eWHqxQtunSxf455+EN4TImcxmbT7ZXn2H0FDtm002B6d+fn5MnDiRzz77DDc3N0aNGgVAmTJlMvxYSil27NhB1apVKVKkSLL733jjDb788kuqVKlC586dcXd35+LFi2zfvp0jR47Qv39/AC5cuMCLL75I8+bNadeuHcWKFePs2bOsXbuWtm3bcuDAAWrY/G0cPnwYgC1btjBhwgQ6d+5MvXr1+Pnnn5k+fTpGo5Fjx46xevVqOnXqRP369Vm0aBGvvfYaNWvWpHXr1smea968eZhMJnr06IG/vz+bN29m1apVXLp0ib/++ivR72UvwLE+T926dZNt27x5Mxs3buTpp59mxIgRbNmyhaVLl6KUYunSpYme+/r167Ro0YJ///2X1q1b07t3b06ePEmvXr3o27dvsuOmJC2/V0REBB06dGDfvn20aNGCUaNGER4ezpIlS2jRogW7du2icePGGfY7N23alCtXrrB8+XICAgJo2LAhAHq9nnLlygGpfw9Znw+00ct27do98jUS6eDpmXCtO3ECQ/cu9GU6X/MagfSn06hRWi0c0GrnlCqV/V/eM3WyLIfK9BycJPOV04t8rECpVi57lPL2ztL5yrws0+fUIyKUatJE+7dM+u9kMmnbmzTR9stmZrNZ6XQ61a1bt0w9zokTJxSgBg4cmOy+s2fPKp1Op3r27KliY2MT3RcbG6tu3LgR//PNmzfV9evXkz3H2rVrFaAmTJiQaHtAQIACVPXq1ZXJ5t9i165dClDu7u6qRYsWiZ7zxx9/VIAaN25coufq3r27ApSPj4/677//4rfHxMSo2rVrK0Dt2bMn0WO6deumgES/Q0BAgNLpdCoqKip+W/v27RWgqlatqs6dOxe//c6dO8rb21sVLVo02e/cqVMnpdPp1IIFCxJtnzRpkgIUkOh3Tomjv1dcXJxq2bKl0ul0auHChYmea8uWLQpQbdu2TbQ9I37nKVOmKED99ttvyX4HR95DSikVGRmpANWiRYtHvDqSg5NhTCbts+v/7d15XFTl/gfwzwzLsA6ymSIjaGhcQRKhVCTxqoC3FMm8JW5oWdnunltiSZl1b5Z177Wba3oRratxU3FJGQzD5ReLGymooKi4IptoA3x/f0wzzmEGBJnd7/v14lU858w53+eZ4zlfznme5wCUjT4EEDmLqqkGjur+OYbsW8p9cEyt0ezFqbeGAgBGO/8PuHSJZy+2FJqj4AYOvPcqjQsXlL+b0YiBvLw8EFGL/tJvi9I/jtVHHnlEa1lBQQGICMHBwRCLhacWsVgMd3d39e/t2rXT+QgtLCwMALQep+Tm5kIsFmPz5s2QaTzjV43kISKkpqYKtqka7VRdXa21LQD4z3/+g27duqnL7e3tMXbsWADAb7/9pvUZf39/QR1yc3MREBAAFxcXdVl+fj5EIhE2b94Mf39/dbmDgwP8/Pxw9+5dwXZ3796N7du3Y8qUKZg4caJgWWJiIgDAw8NDUOemtLZeqampyMzMxJtvvqnel8qQIUPQqVMnnXey2lpnXXeBVFpzDAGAq6srHBwc1MclM7BGMxv3kV1GF5xFDTnjR/dEZbkZzWzMCY6h/DF7caFdD+SiN2xQh5E3Vwo6aXEHYzOnSlS7dr2X5Pzyy73kpmtXs/hHDNy7uOm6aOjTjRs3AEDrQgMokw1HR0ckJydjwoQJ2L59O2pra3Vu58qVK5g3bx5CQ0MhlUohFoshEonQqVMnAEDnzp3V6167dg2XL19G//79BY+tAOWjLgAYPny41iM51UVPMzm4desWiouL0adPHwwYMEArLk9PTwCAQqFQl5WXl6OkpESQPKpi0mzvsrIyXLlyBREREYKh5CpnzpxB165dBWUrVqwAoJxjpzFVstaSpPVB6rV69WrY2NhgxowZOrfp4eEh6Lyrrzrn5ubCx8cH7du311q/NceQZpzXr19vdh2mJ406G4sOZCGh3U4AwMbyWOU6ZtTZmBMcfVN1LgaAoCBsGvMDAGAIfoIXbig7F//RSYs7GFsAmUyY5PTvL0xuzOAfMdD8X8X6pBr1ouuiI5PJkJmZiejoaGzcuBHDhg2Dp6cnEhMTceXKFfV6hw8fxp/+9CcsXboUbm5uSExMxPz585GUlISBAwdq1UOVvA0ZMkRrn80ty8/PBwA8/vjjWuvHxsbqrN/58+fVdWn8Gc1Eo7kyXbFcunQJV69e1fp+fvrpJzz22GPq/ieaysrKtPbRlNbWq76+HgcOHEDXrl117lu1f81EUx91rq6uRlFRUZN1aukxpKm2thZOTk46lzE9a9zZWCrFC0mBAICdGIpKuN7rbGwGHY05wdEnzZmL/5jZcVOK8i+gF/BHx8K4OOVskADPXmwpZDJg/Xph2fr1ZpPcAMoLjYeHh+CC5OHhgdTUVMF6qamp6NChA2pqah5oP97e3gCAmzdv6lz+xBNPID09HeXl5diyZQtCQ0Px7bff4sUXXwSgfJQ0btw41NfX49dff4VcLseXX36JxYsXY9GiRerHEvdLJlRycnIAAL1799Zapvqc5jJVIqjZTpp27twJe3t7PPXUU83uX9cdM9W2dcWiilNzG+Xl5aiqqmry8ZP8jw6bLUlaW1uvmzdvora2tsn1T5w4gWvXrulsh7bUOT8//76PUu93DGlqaGhARUWF+rhkRqCa2biiAhg0CD1nxiIQBbgLB6RhBPDaa8ChQ2YxqzEnOPrUaObiE09OwnHFY7DD74jv8MeQy7t3lbNBqvpzMPN34QLQeM6X8ePN5jv8/fffcfLkSa0LYVBQEAoKCtS/19fXIykpCQsWLICzs/MD7SsoKAhisRiFhYXNrufi4oJnn30WmZmZcHV1VcdRVFSEwsJCPP3001rx5ufnQy6Xw93dXXBXQXUR1XVRzM3NhUQi0Xp0pVrWqVMnwcVPdZGu0HHSzczMxOHDhzFu3Di4ajw2bu0IquYSMc31JRIJAGWi01hdXR2++OKLJrfXWGvr5eDg0OS+AWDp0qUAgAkTJqjL9FHno0ePAhDeVWtKU8eQpsLCQjQ0NOh8PMYM7NQp4OhRiOrr8ILoOwDAJqdJ6uufWfRR1HsXZwtg0FFUGj3M38P7BBANd9wtmAGSZy/WD6OMilCNllJ9ZwcOCH83g1Fwv/76KwGgGTNmCMpfffVV+utf/6r+/ZtvvqEuXbrQ3bt327S/Xr16kZubGzU0NAhiKC4u1lpXNRonISGBiIhKSkoIAIWHhws+f/r0aQoICCAANGjQIME2AgMDydvbW2vbDQ0N5OrqSmFhYVrLVKPKhg0bJigPDg5W71+hUKjLz507R35+fuTl5UWlpaWCz/To0UNr/4GBgfTII48Iyrp3705eXl5asRARjRgxggBojRzz9/cnGxsbysvLU5cpFAp66aWXCAA5OjpSXV2dzm22tV49e/YkGxsbOnr0qKD8s88+IwCCY0dfdV68eDEBoPT0dK31W3oMaVq3bh0BoK+//lpnDJp4FJUeaY4UtrWlkwgkgMjOtp5u2njdm6n/0CG977o1129OcAzh+HFqsJdQd/xGANEGjLl3MTSz4cWWzOAnLM1/xJrJTOOkx8SJ6sqVKwkArV+/XlD+5ZdfUnBwMBER3blzh2QyGX377bdt3p9q+PIhjZNXYmIiicViioyMpFdeeYVmz55Nw4YNIxsbG/L19aWSkhL1un369CEAFBkZSbNnz6ZRo0aRo6MjPffcc1qJWk1NDYnFYoqJidGK49SpUwSAXn75Za1lmZmZBIAWLlyoLqutrSVbW1uKiIggT09PCgkJoRkzZlBiYiK5urqSs7MzZWRkCLZz+/ZtsrGxEexfFVNsbKxWWXR0tM42k8lk5Ofnp1X+j3/8gwCQVCqlV155haZPn06BgYEUGhpKzs7O1LdvX53b0/Qg9SIi+uGHH0gkEpFUKqWXX36ZZs2aRU888YR6eLjmaxT0Vedt27YRAAoICKA5c+ZQUlIS7d+/n4hadwypjBs3jmxsbOjixYstaidOcPREcwqNgweJunalnsgngGgVJimTm9BQg1zjOMG5D4MlOLduqS92uf/8hQAiB9ymSrgQbd1678u+cIGTGz3geXCU3njjDQJAx44dE5Tv27eP7O3tqa6ujpYtW0bBwcFac4s8iNLSUrKxsaG33npLXbZ161YaM2YMBQQEkLOzM9nb21P37t1p5syZdP36da3Pjxo1itzd3UkqlVJ0dDTt3buXVqxYoZWoZWdnEwB69913teJITU0lAPSvf/1La9nnn39OAGjr1q3qssOHDxMAmjdvHv3f//0fPfXUU+To6EgeHh70wgsvUEFBgdZ2Dh48qLV/XTE1F+f169cJAI0YMUJrWUNDA3300Ufk6+urbrOFCxeqY509e7bWZxp7kHqpbN++nfr160cODg4klUqpb9++tGLFCq3jRJ91XrJkCXXp0oVsbW0JAG3evJmIWncMESkTLBcXlxbP/cQJjp5pXO9o1y5KxjwCiGKw06DXO05w7sMgCU6jjPZdt38RQDQS39+7XWegjPZhZZQTluY/4sbMPFG9evUqAaBff/2V2rdvT2lpaYLlsbGxFBUVRf369SNHR0etSdSak5CQQJ6enlRdXa3vsA3m3//+NwGgTZs2mTqU+3rzzTfV3939WFK99GnVqlUEgDIzM1u0Pic4BnL8OJFEQqcRQACRDRR01S/cYE8seKI/U9DoYEz9I7GpQjlcc/RMX8DWFqirA44dU3bMYpZDNWJAFzMfBeft7Q1vb2+8/vrrePTRRxEXFydYvnPnTvz444/w9fXFnj17dM5t05QPP/wQ1dXVgncSmTtjzRXUUgqFQj2vkAoR4euvv8ZXX32FESNG6Byd1Ji51csY6urq8NFHHyEuLk7nvD/MSC5cUA6auXsX3VCEULtjqIcttpT0VnY0NnFnY4tKcI4cOaJ+kZuzszOefPJJpKSkmDosJV9fYONGwNYWR+pDUYwucHaowzPfv6hMblRJTkICz1zMjCY4OBiHDh3CkiVLtJaVlZVh/PjxeP/999G/f/9WbbdLly5Yt27dA4/GMoXc3Fw4OzsjICDA1KEAUI4okslkeO655zBr1ixMmTIFvXr1wpQpUxASEoJVq1a1aDvmVi9jKC0txbhx4/DZZ5+ZOpSHV6NZjdG5M15QbAAAbLYfbx6zGuvlnpERZGRkkL29Pbm4uNDkyZNpxowZ1KVLFwJAH374Yau2ZdA+OL1703TRZwQQjUbKvY6of3TEMoc+G9aCbzk/uFOnTlFcXJzWyBprVV9fT05OTi3qtGssJ0+epLi4OOrQoYP63BYWFkZLly4VdPBtjjnWy1zx+ULPGvdRPH+ezsoGEEAkRh2VoT2RRKJ8hKVHrbl+i4iIjJ9WtU5dXR0CAwNRWlqK7Oxs9ZwLVVVV6NevH06dOoWTJ08K3r/SnMrKSri5uaGiogJSqbTtAWq8cbqhvAJ+3exQesMJWxGPeKQBu3YBMTFm8/Zpa3Hnzh2cO3cOXbp0Uc/rwVrG19cX7du3Vx//f/vb3xAeHm7iqBgzHD5fGIDGtQ8AsHs3+sS64TD64Cu8gTd2jVBe+wC9Xf9ac/22iEdU+/btw5kzZzBmzBjBhFKurq547733UFdXhzVr1pgmuEazF/+y7w5KbzhBigoMhfIdHerZi828zwZ7eJSWliInJwdyuRxyuZyTG8ZY62n2UTxxAoiLU8/avwkvKGc1/mNWf1PMbGwRCY5qyvIYVSaoQVWWmZlpzJDuaTR78aaJ6QCAeOc9cPBRvuCOZy9mjDFmtTQ6G/8VylmNsxCJi2fvmLSzsUUkOKpp4XU9gnJ3d4eXl9d9p443GNUbpzt3Rv35UnxfrRw99YLTNuDSJXXnK5w/r+yQxR2MGWOMWYtGnY1lncXojywQxPhOOtmknY0tIsFRvV/FrYnHO1KpVOc7WFTu3r2LyspKwY9eyWTAjh3YbzcEZegId9zEkGsp6lfKIytL+f/t2yufQTLGGGPWwNVVeW3TuN694LkXALCpcqhyHYkE2LHD6C8otjXq3kxkyZIleP/99w27k6AgeH2ZhElTVsMd5bCHQvjG6cxM7mDMGGPMuri5ATt3Cjobj1r9NL4dcQTP4b8gAKL//Q/Q8UJcQ7OIBEd156apuzSqXtVNmTt3LqZPny5YX6bvTPLCBfT8ZDxW4+y9svHjlbfkZDLTzAHAGGOMGZqb270/3i9cQMdpo3FE81r42mv3roVGZBGPqFR9b3T1sykvL8f169ebHSIukUgglUoFP3p14YLyGeTZs8rbdAcOKP979qyynDsXM8YYs3Zmdi20iAQnKioKALB7926tZaoy1TpGp+pgpfpC5XIgIkL5X80vljsXG4wFTOXEGDMxPk8YmBleCy0iwRk8eDC6du2KlJQU5OXlqcurqqqwePFi2NraYuLEiaYJTrODleYtOJns3hfLnYsNwsbGBoDynT6MMdYc1XlCdd5gemaG10KLmMkYADIyMhAbGwuJRIKEhARIpVJs2bIF586dQ3JyMubPn9/ibRlyJmMtPHuxQZ09exZ2dnbw9fWFSCQydTiMMTNERCgtLYVCoUDXrl1NHY71MsK1sDXXb4tJcADg8OHDSEpKQnZ2Nn7//XcEBQVh6tSpGDt2bKu2o/cEh5lMZWUlLl68CBcXF7i5ucHOzo4THcYYAGVio1AoUFFRgerqanTq1InP+RbOahMcfeEEx7pUVlbi+vXruHv3rqlDYYyZIYlEAi8vLz7fW4HWXL8tYpg4Y81RjYxTKBSor683dTiMMTNiY2MDOzs7U4fBTIATHGY17Ozs+ETGGGMMgIWMomKMMcYYaw1OcBhjjDFmdTjBYYwxxpjV4QSHMcYYY1aHExzGGGOMWZ2HchSVauqfyspKE0fCGGOMsZZSXbdbMoXfQ5ngVFVVAQBkRn51O2OMMcbarqqqCm73ee3DQzmTcUNDAy5dugRXV1eLmNa/srISMpkMFy5c4Jk4we3RGLeHELeHELeHELeHkKW1BxGhqqoKPj4+EIub72XzUN7BEYvF8NX1MjAzp5qxlylxewhxewhxewhxewhxewhZUnvc786NCncyZowxxpjV4QSHMcYYY1aHExwLIJFIkJSUBIlEYupQzAK3hxC3hxC3hxC3hxC3h5A1t8dD2cmYMcYYY9aN7+AwxhhjzOpwgsMYY4wxq8MJDmOMMcasDic4jDHGGLM6nOCYsf3792PmzJn485//DDc3N4hEIkycOLHJ9eVyOUQiUZM/Bw8eNF7wBtDa9gCUs1Z/9dVXCAkJgaOjI7y9vfH888+jsLDQOEGbwMSJE5s8BgIDA00dnsEcOXIETz/9NNzd3eHs7Iwnn3wSKSkppg7LZPz9/Zs8DqZMmWLq8Axiw4YNePXVVxEeHg6JRAKRSIS1a9c2uX5lZSWmT58OPz8/SCQS+Pn5Yfr06VbznsLWtMeiRYuaPF4cHByMG7iePJQzGVuK1atXY926dXByckLnzp1b/I8uKioKAwcO1Cq3xNmbNT1Ie0yZMgXffPMNevTogbfeegtXrlzBpk2bsHv3bvzyyy/o0aOHESI3jXfeeQft2rUTlHl5eZkmGAOTy+WIjY2Fvb09Ro8eDTc3N2zZsgVjx45FcXEx5s2bZ+oQTcLNzQ1Tp07VKg8PDzd+MEawYMEClJSUwMvLCx07dkRJSUmT69bU1CAqKgp5eXmIjo5GQkIC8vPzsWzZMmRkZCArKwvOzs5GjF7/WtMeKomJifD39xeU2dpaaKpAzGwdOXKEjh8/TnV1dZSdnU0AKDExscn1MzIyCAAlJSUZLUZjam177Nu3jwDQU089RXfu3FGX//TTTyQSiWjAgAFGiNr4EhMTCQCdO3fO1KEYhUKhoEcffZQkEgnl5OSoyysrKykoKIhsbW3p9OnTJozQNPz8/MjPz8/UYRjVnj17qLi4mIiIlixZQgBozZo1OtdduHAhAaDZs2frLF+4cKGhwzW41rRHUlISAaCMjAzjBWhg/IjKjIWHhyMoKAg2NjamDsUstLY9vvnmGwBAcnKyYBKrwYMHIzY2Fvv378fp06cNEisznn379uHMmTMYM2YMQkND1eWurq547733UFdXhzVr1pgwQmYsQ4YMgZ+f333XIyKsXLkSLi4uWLhwoWDZ3Llz4e7ujlWrVoEsfJq4lraHtbLQ+06sOYWFhVi+fDlu374NPz8/REdHW+2jiebI5XI4Ozujf//+WstiY2Oxc+dOZGZmonv37iaIzvC2b9+OqqoqSCQShISEYODAgVaZLMvlcgBATEyM1jJVWWZmpjFDMht3797FunXrcPHiRbi7uyMiIgKPP/64qcMyucLCQly6dAmxsbFaj6EcHBwwYMAApKWloaioCN26dTNRlKbx888/4/Dhw7CxsUFgYCCGDBlisbMcc4JjhVJSUgSdKx0dHfH+++9j1qxZJozKuGpqanD58mUEBwfrvKirTlrW3Nn4zTffFPzevXt3bNy4Eb179zZRRIah+g51XYjc3d3h5eVl1d9zc8rKyrQ64g8dOhTr169/KP/oUWnumNEsLywsfOgSnMZ3tDp27Ih169YhOjraRBE9OH5EZUW8vb3x6aefoqCgADU1Nbh48SI2bNgADw8PzJ49G19//bWpQzSaiooKAMpOlrpIpVLBetYkKioK//3vf3HhwgXU1taioKAAU6dOxZkzZxATE4NLly6ZOkS9asl3bY3f8/28+OKLkMvluHbtGiorK3Hw4EH85S9/wc6dOxEXF2fxj1/a4mE+PzSlV69eWLduHYqLi1FbW4vCwkIsXrwYt27dQlxcHPLz800dYqtxgmNgXl5ezQ7dbvyjut3+IIKCgjBz5kwEBgbCyckJPj4+GDt2LHbu3Al7e3skJSWhoaFBf5V7AMZsD0vWlnaaNGkSRo4cCV9fXzg4OCAwMBDLli3Du+++ixs3bmDZsmWmqxgzmoULFyIqKgpeXl5wdXVFnz59sG3bNkRGRiI7Oxs7duwwdYjMjMTHx2PChAnw8/ODg4MDAgICsGDBAnzxxRe4c+cOkpOTTR1iq/EjKgNLSEhAVVVVi9fv0KGD3mMIDg5Gnz598PPPP6OoqMikfU6M1R6qv8ya+gtMNcS8qb/gTM0Q7fTSSy/ho48+woEDB9oSmtlpyXdtrt+zsYnFYkyaNAlZWVk4cOAAnnnmGVOHZBKWfn4wpsTERLz++usWed7gBMfAvvzyS1OHAODe/Ce3b982aRzGag9nZ2d07NgR586dQ319vVY/nPs9gzc1Q7STuRwD+qbZXyIsLEywrLy8HNevX0dERIQpQjNL1noctMb9+uCZ+/nBmOzt7eHq6mqRxws/onoI1NXVIScnByKRCJ07dzZ1OEYTFRWFmpoanX957Nq1S73Ow+LQoUMAoDWJl6VTfYe7d+/WWqYqe5i+5/ux1uOgNbp16wYfHx8cOHAANTU1gmV37tzB/v374ePjg4CAABNFaD4KCwtRXl5ukccLJzhWJDs7W6vjYF1dHWbNmoWSkhLExsbCw8PDRNEZ3yuvvAJAOZvn77//ri7fu3cvdu3ahQEDBljdEPGysjKcOXNGq/zixYt4++23ASgff1mTwYMHo2vXrkhJSUFeXp66vKqqCosXL4atre19X+lhbU6ePIlbt25plWdlZeGzzz6DRCLByJEjjR+YmRCJRJg8eTKqq6vxwQcfCJYtWbIE5eXlmDx5MkQikYkiNK6qqiocPXpUq7y8vBwvvfQSAMs8b4joYe5Kb+aysrKwcuVKAMC1a9ewY8cOPProo4iMjAQABAYGYs6cOer1Ve+eiYiIQKdOnXDr1i3s378fp06dQufOnbF//36LnvSpte0BAC+//DJWrlyJHj164JlnnlG/qsHBwcEqX9Ugl8sxaNAgREZGIjAwEB4eHiguLsa2bdtQU1ODxMRErFmzxupO3BkZGYiNjYVEIkFCQgKkUim2bNmCc+fOITk5GfPnzzd1iEa1aNEifPLJJxg8eDD8/f0hkUhw/Phx7N69G2KxGCtWrMDkyZNNHaberVy5EllZWQCAY8eOIScnB/3791ffiYmPj0d8fDwA5VQSkZGR6lc1hIWFIT8/H+np6ejVq5dVvKqhpe1RXFyMLl26IDw8HD179kT79u1x8eJFpKen48aNG4iOjsa2bdtgb29vyuq0nimnUWbNW7NmDQFo8icqKkqw/scff0wDBw4kHx8fsre3JycnJwoJCaH58+fTzZs3TVMJPWptexAR1dfX0/LlyykoKIgkEgl5enrSqFGj6NSpU8avgBGcP3+eJk+eTCEhIeTu7k62trbk6elJ0dHRlJqaaurwDOrQoUM0dOhQcnNzI0dHRwoPD6cNGzaYOiyTkMvl9Pzzz1NAQAC5urqSnZ0d+fr60ujRo+nQoUOmDs9gVK8paeqn8Wtsbt26RdOmTSOZTEZ2dnYkk8lo2rRpdOvWLdNUQM9a2h4VFRX0xhtvUFhYGHl5eZGtrS25ublRZGQkrVixgurq6kxbkQfEd3AYY4wxZnW4Dw5jjDHGrA4nOIwxxhizOpzgMMYYY8zqcILDGGOMMavDCQ5jjDHGrA4nOIwxxhizOpzgMMYYY8zqcILDGGOMMavDCQ5jjDHGrA4nOIwxxhizOpzgMMYswtq1ayESidQ/o0ePNnVITSoqKhLE6u/vb+qQGHvocILDGLMoI0aMQFJSEkaNGmWU/R08eBAikQirVq1q8Wc8PDyQlJSEpKQkuLm5GTA6xlhTbE0dAGOMtUZ8fDwmTpxotP2lpaVBLBZj2LBhLf6Mh4cHFi1aBEB554kxZnx8B4cxxpqRlpaGvn374pFHHjF1KIyxVuAEhzHWZvPmzYNIJML333+vc/nq1ashEomwZMkSg8bx3XffQSQS4auvvkJ6ejoGDhwIV1dXdOjQAXPmzEFDQwMAYOPGjejbty9cXFzg7++P5cuX69xeUVERCgoKMGLECEF5eno6hg4dis6dO0MikcDHxwdDhgzBxo0bDVo/xljLcYLDGGuzkJAQAMCJEye0ltXW1iIpKQm+vr6YOnWqQePIy8sDAOzZswcJCQmQyWSYPHkyGhoasHTpUqxYsQKvvfYapk+fjuDgYCQmJuLGjRt45513sG/fPq3t/fDDDwAgSHCmT5+Op59+GsXFxRg+fDimTZuGwYMH47fffkN+fr5B68cYaznug8MYa7OePXsC0J3gfPHFFygtLcXatWvh6Oho0DhUCU5RURGOHTsGmUwGABg5ciQGDBiAOXPmIDQ0FCdOnICHhwcAoF+/fhg/fjz27NmDQYMGCbaXlpaG7t2747HHHgMAnD17Fp9//jmee+45bN68GWLxvb8RGxoaUFFRYdD6McZaju/gMMba7LHHHoNEItFKcG7evImPP/4YISEhGD9+vMHjyM3NhVgsxubNm9XJDXDvDhMRITU1VZ3cAPeSs+rqasG2rl+/jl9++QXx8fHqsoKCAhARgoODBckNAIjFYri7u+u7SoyxB8QJDmOszWxtbREYGIjCwkIoFAp1eXJyMioqKvDpp59qJQT6du3aNVy+fBn9+/dHUFCQYFlJSQkAYPjw4ejYsaNgWWlpKQAIEiIA+PHHH9HQ0CB4PBUSEgJHR0ckJydjwoQJ2L59O2praw1RHcZYG3GCwxjTi5CQECgUCpw+fRoAUFxcjH/+85+IiYlBTEyMwfefm5sLABgyZEirlqn6zTz++OOC8rS0NLRv3x59+/ZVl8lkMmRmZiI6OhobN27EsGHD4OnpicTERFy5ckVvdWGMtR0nOIwxvVA96jl58iQAYMGCBVAoFPjkk08E6y1cuFAwy6/qZ/v27W3avyqJCQ0N1VqWk5MDAOjdu3eTn9NcVltbiz179mD48OFad56eeOIJpKeno7y8HFu2bEFoaCi+/fZbvPjii22KnzGmX5zgMMb0QnMkVW5uLlJSUjB+/HitOyMzZ87E5cuXcfnyZVy6dAnx8fEICwtDVFRUm/av6mCsK8HJzc2FRCLRenSlWtapUyd4e3ury/bs2YPbt29rDQ/X5OLigmeffRaZmZlwdXVFQUFBm+JnjOkXj6JijOmF5kiqAwcOwMHBAYsXL9ZaTyqVQiqVAgBef/11FBcXY+/evXBxcWnT/vPy8uDt7Q1fX19BOREhLy8PwcHBsLOzEyyrrKzE2bNn8cwzzwjK09LS4OTkJHiklZOTA09PT/j5+QnWlcvlqKqqatVMx4wxw+MEhzGmFz4+PvD09MSOHTtw+/ZtzJ07V6vjrqa3334bWVlZ2Ldvn2BU04O4ffs2Tp8+rbOPTWFhIaqqqnQ+nsrLywMRCZY1NDRg27ZtiImJEQxrX758OdavX4+IiAj06NED7dq1w8mTJ5Geng5fX198/PHHbaoDY0y/OMFhjOlNz549IZfL4eXlhTlz5jS53syZM7F3715kZGTAy8urzfs9evQoGhoamnw8BTTf/0bzc9nZ2bh69arW46n4+HgoFAocPnwYubm5UCgU8Pf3x7Rp0zBnzhx4enq2uR6MMf0RERGZOgjG2MNj7ty52Lp1K+RyOTp06NDiz61duxaTJk3CmjVrDPqyzdmzZ+Pvf/87rly5opfky9/fH4ByVBljzHi4kzFjzGg++OADrF27FikpKQCAsrIylJWVoa6ursXbmDRpEkQiEUaPHm2QGNPS0hAREdGm5KaoqEg9Okw1Bw9jzLj4Dg5jzCiICO3atUNlZaXWsqtXrwpGMemSl5enfjcUAAQHB2PUqFH6DlMvbt68KXiBZ7t27Qz+Hi7GmBAnOIwxxhizOvyIijHGGGNWhxMcxhhjjFkdTnAYY4wxZnU4wWGMMcaY1eEEhzHGGGNWhxMcxhhjjFkdTnAYY4wxZnU4wWGMMcaY1eEEhzHGGGNWhxMcxhhjjFkdTnAYY4wxZnU4wWGMMcaY1fl/6xxpHwcCNuoAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f_v_SI = f_v / unit_Length * unit_Time\n",
    "v_SI = v * unit_Length / unit_Time\n",
    "\n",
    "font_size = 14\n",
    "tick_font_size = 14\n",
    "##Plot\n",
    "plt.plot(v_SI, (f_v_SI - min(f_v_SI)), \"-\", c=\"b\", label=\"$f_{v_{z}} ~(interpolation)$\")\n",
    "plt.scatter(v_SI, (f_v_SI - min(f_v_SI)), marker=\"x\",c=\"r\", label=\"$f_{v_{z}} ~(sampling ~points)$\")\n",
    "plt.xlabel(\"$v_{z} ~[m/s]$\", fontsize=font_size), plt.ylabel(\"$f_{v_{z}} - 0.0004374939 ~[s/m]$\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "#ax = plt.gca()\n",
    "#ax.set_yticklabels(['0.00043749399086876487', '0.0004375020125128215'])\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_VelocityDist.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "4d1452c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0004374297869982472"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "min(f_v_SI)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "ebdb9eac",
   "metadata": {},
   "outputs": [],
   "source": [
    "alpha_v = HD_spectrum.spectrum_Transit(omega, transit_time, N_0p25, 10*v_1MHz, debugging = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "35ef24b1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "alpha_v_SI = alpha_v / unit_Length**2 * unit_Time \n",
    "\n",
    "font_size = 14\n",
    "tick_font_size = 14\n",
    "##Plot\n",
    "plt.plot(v_SI, alpha_v_SI/ 100, \"-\", c=\"b\", label=\"$\\\\alpha_v ~(interpolation)$\")\n",
    "plt.scatter(v_SI, alpha_v_SI/ 100, marker=\"x\",c=\"r\", label=\"$\\\\alpha_v ~(sampling ~points)$\")\n",
    "plt.xlabel(\"$v_{z} ~[m/s]$\", fontsize=font_size), plt.ylabel(\"$\\\\alpha_v [(1/cm)]$\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_Alpha_v.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4817b8d5",
   "metadata": {},
   "source": [
    "### detuning = 8 MHz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "c7e76e58",
   "metadata": {},
   "outputs": [],
   "source": [
    "delta = 8*1e6 * unit_Time # Conversion from SI units to atomic units\n",
    "omega = omega_0 + 2*np.pi*delta\n",
    "k = omega/c\n",
    "v_shift = abs(omega_0 - omega)/k\n",
    "f_v, v = HD_gas_pr0p25.distMB_AdaptativeSampling(v_shift, 10*v_1MHz)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "5e0db6ee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f_v_SI = f_v / unit_Length * unit_Time\n",
    "v_SI = v * unit_Length / unit_Time\n",
    "\n",
    "font_size = 14\n",
    "tick_font_size = 14\n",
    "##Plot\n",
    "plt.plot(v_SI, (f_v_SI - min(f_v_SI)), \"-\", c=\"b\", label=\"$f_{v_{z}} ~(interpolation)$\")\n",
    "plt.scatter(v_SI, (f_v_SI - min(f_v_SI)), marker=\"x\",c=\"r\", label=\"$f_{v_{z}} ~(sampling ~points)$\")\n",
    "plt.xlabel(\"$v_{z} ~[m/s]$\", fontsize=font_size), plt.ylabel(\"$f_{v_{z}} - 0.0004373395 ~[s/m]$\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "#ax = plt.gca()\n",
    "#ax.set_yticklabels(['0.00043749399086876487', '0.0004375020125128215'])\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_VelocityDist.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "2e566255",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0004373395162508172"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "min(f_v_SI)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "0589c2c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "alpha_v = HD_spectrum.spectrum_Transit(omega, transit_time, N_0p25, 10*v_1MHz, debugging = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "7514157f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "alpha_v_SI = alpha_v / unit_Length**2 * unit_Time \n",
    "\n",
    "font_size = 14\n",
    "tick_font_size = 14\n",
    "##Plot\n",
    "plt.plot(v_SI, alpha_v_SI/ 100, \"-\", c=\"b\", label=\"$\\\\alpha_v ~(interpolation)$\")\n",
    "plt.scatter(v_SI, alpha_v_SI/ 100, marker=\"x\",c=\"r\", label=\"$\\\\alpha_v ~(sampling ~points)$\")\n",
    "plt.xlabel(\"$v_{z} ~[m/s]$\", fontsize=font_size), plt.ylabel(\"$\\\\alpha_v [(1/cm)]$\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_Alpha_v.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "4368df3b",
   "metadata": {},
   "outputs": [],
   "source": [
    "alpha = integrate.simpson(f_v*alpha_v, v) / unit_Length**2 * unit_Time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "d888d4fb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2.368711365381486e-44\n"
     ]
    }
   ],
   "source": [
    "print(alpha)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1a430719",
   "metadata": {},
   "source": [
    "## Lamb dip"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "525f53de",
   "metadata": {},
   "source": [
    "### Window : 8 MHz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "38457d8a",
   "metadata": {},
   "outputs": [],
   "source": [
    "width_Hz = 8*1e6 # Hz\n",
    "width = 2*np.pi*(width_Hz*unit_Time)\n",
    "frequency_window_HD_Gas_8MHz = np.linspace(omega_0-width, omega_0+width, 21)\n",
    "np.savetxt('frequency_window_HD_Gas_8MHz.txt', frequency_window_HD_Gas_8MHz)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "19fe1b49",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0 %\n",
      "9.523809523809524 %\n",
      "14.285714285714285 %\n",
      "19.047619047619047 %\n",
      "23.809523809523807 %\n",
      "28.57142857142857 %\n",
      "33.33333333333333 %\n",
      "38.095238095238095 %\n",
      "42.857142857142854 %\n",
      "47.61904761904761 %\n",
      "52.38095238095239 %\n",
      "57.14285714285714 %\n",
      "61.904761904761905 %\n",
      "66.66666666666666 %\n",
      "71.42857142857143 %\n",
      "76.19047619047619 %\n",
      "80.95238095238095 %\n",
      "85.71428571428571 %\n",
      "90.47619047619048 %\n",
      "95.23809523809523 %\n"
     ]
    }
   ],
   "source": [
    "alpha_HD_8MHz = HD_spectrum.spectrum_Transit_broadened_MB(frequency_window_HD_Gas_8MHz, transit_time, N_0p25, 10*v_1MHz)\n",
    "np.savetxt('alpha_HD_8MHz.txt', alpha_HD_8MHz)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "0497cdcb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "frequency_window_HD_Gas_8MHz = np.loadtxt('frequency_window_HD_Gas_8MHz.txt')\n",
    "frequency_detuning_HD_Gas_8MHz = (frequency_window_HD_Gas_8MHz/(2*np.pi) - f_0) / unit_Time / 1000000\n",
    "\n",
    "alpha_HD_8MHz = np.loadtxt('alpha_HD_8MHz.txt')\n",
    "alpha_HD_8MHz_SI = alpha_HD_8MHz / unit_Length / 100 # 1/cm\n",
    "\n",
    "font_size = 14\n",
    "tick_font_size = 14\n",
    "##Plot\n",
    "plt.plot(frequency_detuning_HD_Gas_8MHz, alpha_HD_8MHz_SI, \"-\", c=\"b\", label=\"$\\\\alpha ~(interp)$\")\n",
    "plt.scatter(frequency_detuning_HD_Gas_8MHz, alpha_HD_8MHz_SI, marker=\"x\",c=\"r\", label=\"$\\\\alpha ~(samp. ~pts)$\")\n",
    "plt.xlabel(\"$f - f_{0} ~[MHz]$\", fontsize=font_size), plt.ylabel(\"$\\\\alpha [1/cm]$\", fontsize=font_size)\n",
    "plt.xticks(fontsize=tick_font_size)  # X-axis graduation font size\n",
    "plt.yticks(fontsize=tick_font_size)  # Y-axis graduation font size\n",
    "plt.legend(fontsize=font_size)\n",
    "plt.savefig('CHAPTER_5_LambDip_8MHz.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6713fc32",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
