{ "cells": [ { "cell_type": "markdown", "id": "49567d2a", "metadata": {}, "source": [ "# Other emission models\n", "\n", "This notebook explains how to use and implement emission models that are **NOT** hot regions at the surface of Neutron Stars. Such models can be fixed or fitted alongside the usual hot region and spacetime parameters. Here, we provide a simple model that can be fitted to data.\n", "\n", "Note that such emission models need to be handled with care for various reasons. For instance, using such models can introduce large errors and bias when the background of the data is not well defined. This is because part of the emission model can be mistaken for background during inference, which in turn bias parameter estimation of the emission model components and hence of the hot spot parameters and ultimately of the mass and radius. This phenomenon has been observed to happen in every test run that used background marginalization likelihood alongside poorly defined background. Moreover, the proposed power law model here is not physical, but rather phenomenological. Hence, as it is poorly understood, the chosen spectral and pulse shapes may be wrong, which would result in biased mass and radius. \n", "\n", "To run this tutorial, all data files should be available in in the directory `examples/examples_modeling_tutorial/model_data/`. It is also recommended to have basic knowledge of X-PSI before reading this notebook, by reading the `XPSI_101`, `Modeling`, and/or `Modeling_without_statistics` tutorials. " ] }, { "cell_type": "code", "execution_count": 1, "id": "89e0613a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "/=============================================\\\n", "| X-PSI: X-ray Pulse Simulation and Inference |\n", "|---------------------------------------------|\n", "| Version: 3.3.0 |\n", "|---------------------------------------------|\n", "| https://xpsi-group.github.io/xpsi |\n", "\\=============================================/\n", "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/home/saltuomo/xpsi/xpsi_lmauviard/xpsi/xpsi/EmissionModels.py:132: SyntaxWarning: invalid escape sequence '\\G'\n", " \"\"\" Simple powerlaw emission model, which can be pulsed or not.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Imported emcee version: 3.1.6\n", "Imported PyMultiNest.\n", "Imported UltraNest.\n", "Imported GetDist version: 1.5.3\n", "Imported nestcheck version: 0.2.1\n" ] } ], "source": [ "%matplotlib inline\n", "\n", "import math, os\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "from matplotlib import rcParams\n", "rcParams['text.usetex'] = False\n", "rcParams['font.size'] = 14.0\n", "\n", "import xpsi\n", "\n", "from xpsi.global_imports import gravradius" ] }, { "cell_type": "markdown", "id": "5f76e382", "metadata": {}, "source": [ "# Emission models\n", "\n", "Here is a rundown of the the tools available with the emission models and how to setup one yourself.\n", "\n", "A powerlaw model, that can be pulsed or not, is provided out of the box. Here is how to instansiate it using the usual X-PSI nomenclature for ParametersSubspace, with `values` and `bounds`. Its flux is as follows: $$F(E) = K \\times \\left( \\frac{E}{\\rm 1keV} \\right)^{-\\Gamma}$$\n", "\n", "where E is the energy, K is the normalization of the powerlaw (its flux at 1keV), and $\\Gamma$ is the photon index of the power law (dimensionless). " ] }, { "cell_type": "code", "execution_count": 2, "id": "53f620e5", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Creating parameter:\n", " > Named \"norm\" with fixed value 1.000e-05.\n", " > Normalization of the PowerLaw in photons/cm2/s/keV @ 1keV.\n", "Creating parameter:\n", " > Named \"gamma\" with fixed value 1.500e+00.\n", " > Photon index of the PowerLaw.\n", "Creating parameter:\n", " > Named \"phase_shift\" with fixed value 0.000e+00.\n", " > Phase shift of the PowerLaw.\n" ] } ], "source": [ "bounds = {}\n", "values = {'norm':1e-5, \n", " 'gamma':1.5,\n", " }\n", "PowerLaw = xpsi.PowerLaw(bounds=bounds,\n", " values=values)" ] }, { "cell_type": "markdown", "id": "9bdf6106", "metadata": {}, "source": [ "By default, `PowerLaw` uses 5 phase bins. This a minimum required by X-PSI, as the energy integrator used has been made for 2D arrays and only works with a minimum of 5 phase values. \n", "\n", "After the emission model `integrate` function has been called, the attribute `signal` is set. Let's check what it looks like." ] }, { "cell_type": "code", "execution_count": 3, "id": "b23a8377", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(50, 5)\n" ] } ], "source": [ "# Integrate the model\n", "energies = np.logspace(0.0, np.log10(3.0), 50)\n", "PowerLaw.integrate(energies=energies, threads=1)\n", "print( PowerLaw.signal[0].shape ) # To be X-PSI compliant, the signal is a tuple containing a single 2D array with shape (number of energies, number of phases)" ] }, { "cell_type": "code", "execution_count": 4, "id": "6cbf3648", "metadata": {}, "outputs": [], "source": [ "# Helper function for plotting signal\n", "def plotSignal( energies, model , title=None , log=True):\n", "\n", " im = plt.pcolormesh( energies, model.phases, model.signal[0].T[:-1, :-1], shading='flat')\n", " plt.xlabel('Energy [keV]')\n", " plt.ylabel('Phase') \n", " plt.colorbar(im, label='Flux [photon/cm^2/s/keV]')\n", " if title is not None:\n", " plt.title(title)\n", " plt.show() \n", "\n", " # Now the signal as a function of energy integrated oved phase bins. As it is phase independent, we retrieve the powerlaw\n", " phase_integrated_signal = np.trapz( y=model.signal[0], x = model.phases )\n", " print( model.phases.shape, model.signal[0].shape )\n", " plt.loglog(energies, phase_integrated_signal, label='Bin centers')\n", " plt.step(energies, phase_integrated_signal, where='mid', alpha=0.7, label='Bins')\n", " plt.xlabel('Energy [keV]')\n", " plt.ylabel('Flux [photon/cm^2/s/keV]')\n", " if not log:\n", " plt.xscale('linear')\n", " plt.yscale('linear') \n", " plt.legend()\n", " if title is not None:\n", " plt.title(title)\n", " plt.show()\n", "\n", " # Now the signal as a function of phase integrated oved energy bins\n", " energy_integrated_signal = np.trapz( y=model.signal[0].T, x = energies )\n", " plt.plot(model.phases, energy_integrated_signal, label='Bin centers')\n", " plt.step(model.phases, energy_integrated_signal, where='mid', alpha=0.7, label='Bins')\n", " plt.xlabel('Phase')\n", " plt.ylabel('Flux [photon/cm^2/s]')\n", " plt.legend() \n", " if title is not None:\n", " plt.title(title)\n", " plt.show()" ] }, { "cell_type": "code", "execution_count": 5, "id": "e33c2d27", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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", 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot the signal\n", "plotSignal( energies, PowerLaw, title='Powerlaw' ) # The signal is phase independent so we see no variation with phase" ] }, { "cell_type": "markdown", "id": "4849edad", "metadata": {}, "source": [ "The flux in all the phase bins equals to 1e-5 photons/cm^2/s/keV at 1keV in the first figure. When we integrate over the phases from zero to one, we keep this value since the flux is constant across the phase array. In this phase integrated case, we retrieve a simple power law shape.\n", "\n", "It is also possible to use a sinusoidal pulsed power law model. This model is defined as: $$F(E) = K \\times \\left( \\frac{E}{\\rm 1keV} \\right)^{-\\Gamma} \\left[ 1 + A \\times \\cos( 2\\pi (\\phi - \\phi_0)) \\right]$$\n", "\n", "Where A is the amplitude of the oscialltion and $\\phi_0$ the phase center. This model can be imported as follows:" ] }, { "cell_type": "code", "execution_count": 6, "id": "88947d59", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Creating parameter:\n", " > Named \"norm\" with fixed value 1.000e-05.\n", " > Normalization of the PowerLaw in photons/cm2/s/keV @ 1keV.\n", "Creating parameter:\n", " > Named \"gamma\" with fixed value 1.500e+00.\n", " > Photon index of the PowerLaw.\n", "Creating parameter:\n", " > Named \"oscillation_amplitude\" with fixed value 2.000e-01.\n", " > Amplitude of oscillation of the PowerLaw.\n", "Creating parameter:\n", " > Named \"phase_shift\" with fixed value 2.000e-01.\n", " > Phase shift of the PowerLaw.\n" ] } ], "source": [ "bounds = {}\n", "values = {'norm':1e-5, \n", " 'gamma':1.5, \n", " 'oscillation_amplitude':0.2, \n", " 'phase_shift':0.2}\n", "PulsedPowerLaw = xpsi.PowerLaw(bounds=bounds,\n", " values=values,\n", " pulsed=True, # Requires the model to be pulsed\n", " num_leaves=32, # Number of phase bins to use for model computation\n", " )" ] }, { "cell_type": "code", "execution_count": 7, "id": "d4a465d8", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(50, 32)\n" ] }, { "data": { "image/png": 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", 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xe/duJk2aRIMGDYiKiuKvv/4iJyeH7t278+abb7J8+fJC1z3wwAP89ttv3HLLLWRnZ7Nnzx5q1qxJWFgY77///tV/ICXQrFkz/vrrL5555hkaNWpEREQEkZGRNG3alBdffJE///yTunXrFnmtg4ND3mN0i8WS9/eRy9HRMe98/jmGRbH1syyJoKAgNm3axMiRI/Hz8+PAgQMkJCQwevRotm3bdsX5fQEBAXlzHgMCArjhhhsKnA8MDMwrIVSzZk0aNmxYqvGL2INhmtdoo1ARERERKXc0MigiIiJSiSkZFBEREanElAyKiIiIVGJKBkVEREQqMSWDIiIiIpWYkkERERGRSuzalMSXcsFqtXLixAm8vLwwDMPe4YiIiEgxmKZJcnIyQUFBODiU/jieksFK5MSJE9SuXdveYYiIiIgNjh07Rq1atUq9XyWDlYiXlxdw/ofp4o3lRUREpHxKSkqidu3aed/jpU3JYCWS+2jY29tbyaCIiEgFU1ZTvLSARERERKQSUzIoIiIiUokpGRQRERGpxJQMioiIiFRiSgZFREREKjElgxXIlClTMAyjwKtdu3b2DktEREQqMJWWqWBatmzJzz//nPdnJycnO0YjImJ/WVlZ5OTk2DsMkatisVjKzXe4ksEKxtHRkcDAQHuHISJid0lJScTExJCRkWHvUERs4uLiQkBAgN1r/yoZvII5c+awdu1atm7dys6dO8nMzGTGjBmMGTPmktds2bKFyZMns2HDBjIzM2nWrBmPPPIII0aMKHE8e/fupUaNGnh4eNCtWzdee+01JYciUukkJSURHR2Np6cnAQEBODk5ac91qTBM0yQrK4vExESio6MB7JoQKhm8gueff54jR44QEBBAjRo1OHLkyGXbh4eH06dPH5ydnRk2bBg+Pj4sWLCAkSNHcvjwYZ599lmbY+nYsSMzZ86kcePGHD9+nMmTJ9OzZ0+2bduGi4uLzf2KiFQ0MTExeHp6UqtWLSWBUiG5ubnh5eXF8ePHiYmJsWsyqAUkVxAWFsbhw4c5e/YsDz744GXbZmdnc99992EYBmvWrOHLL7/knXfeYceOHTRr1ozJkydz4MCBvPbPP/98oQUhF7/yu+222xg8eDAtWrTgtttuY9myZRw5coSlS5eWyXsXESmPsrKyyMjIwMfHR4mgVGiGYeDj40NGRgZZWVl2i0PJ4BXccsstBAcHF6vtypUriYyMZMSIEbRu3TrvuJeXFy+88ALZ2dnMmDEj7/jjjz9OVFTUZV+XExAQQN26da/YTkTkepK7WKS8TL4XKYncn2N7LoLSY+JSFB4eDkDv3r0Lncs9tnr16rxjvr6++Pr62ny/xMREDh8+TEhIiM19lArT5NCpWKp7u+LhfNGPlKML6Dd3ESkDGhWU60F5+DlWMliKch8BN2jQoNA5Pz8/AgICCjwmvlpPPPEE/fv3p3bt2hw/fpwXXniB6tWr069fvyLbZ2RkFFhll5SUZPO9Lyfx3DlOfjmU04ZB85o+eLnm+7EKaAi3vqSEUEREpJzSY+JSlJiYCICPj0+R5729vfPa2OLYsWMMHTqUhg0bMnz4cGrWrMmKFStwd3cvsv3rr7+Oj49P3qt27do23/tyTiakYZqQkpnNlsNxHI9PxcQ8fzImArJV9kFERKS80shgBfLtt99eVftnnnmGf//733l/TkpKKpOEsHGtqsQ9spCnfviLNRFn4Rj807sKb/ARjhb9viEiUh7kTik6fPiwXeOQ8kff1KUod0TwUqN/SUlJlxw1LAsuLi54e3sXeJUJw8Dfx5vPx3TmsX43kOPgwpLdsWw+HEdSuv1WR4mIXI8OHz5cZPUJDw8PbrjhBqZOncq5c+fsHabd5H4+l6sHLAVpZLAU5c4VPHDgAG3bti1wLj4+npiYGDp16mSP0K4JBweD+7vVo22wP4/P3URqag5/HI4neuMR7u7SsFxMkhURuV7Uq1ePu+++GzhfxPjs2bP89NNPTJkyhV9++YW1a9disVjy2q9YscJeoUo5p2SwFHXv3p3XX3+dX3/9lWHDhhU49+uvv+a1ud61DfZj4YROHPnUhbPnMnjlf3tYf/gcb951Az5uKgUhIlIa6tevz5QpUwocy8jI4KabbmLDhg2sWbOGHj165J2rV6/eNY5QKgo9Ji5FvXr1om7dusydO5ft27fnHU9OTubll1/G0dGx0gxb+7o5c0NtHxpW98LdksOq3UcZ+OEKdkSdgqz0gi/TtHe4IiLXBRcXl7wE8OzZswXOhYSEFCpFNmXKFAzDIDw8nO+//542bdrg5uZGjRo1mDhxImlpaVd1/7/++ou7776bWrVq4eLiQo0aNejbty9Lliwp1Hbx4sX06tULPz8/XF1dad68Oe+8806henszZ87EMAxmzpzJihUr6NKlCx4eHlSpUoXRo0cTGxtboG1oaCgAs2bNKvAYPbf8G5wfSZ0+fTqdO3fG29sbd3d32rVrx/Tp0wvFmf8zmjVrFm3btsXd3Z2bb74ZAKvVSlhYGB06dMDf3x93d3dCQkIYMGAAa9asuarPz140MngFYWFhrFu3DoCdO3fmHcv9oRowYAADBgwAwNHRkbCwMPr06UPXrl0ZPnw43t7eLFiwgKioKF555RUaNmxoj7dhFwYGdfzdCXeby67oRNJScoidYXC0mie1/d0wuPDYWOVnRERKRWZmJuHh4RiGQatWrYp93bRp0/jpp5+44447uPnmm/n555/56KOPiI2N5euvvy5WHwsXLmT48OFYrVb++c9/0qhRI86cOcOmTZv46quv+Oc//5nX9tlnn+X111+nVq1aDBo0CG9vb9asWcMTTzzBpk2bmDdvXqH+lyxZwtKlS/nnP//JQw89xJo1a5g9ezaRkZF539OtWrVi0qRJfPjhh7Rs2TLv+xn+XkBjmiZ33303c+fOpWHDhowYMQJnZ2eWL1/Ovffey549e3jnnXcK3f/tt99m1apV9O/fn1tvvRVHx/Mp1DPPPMNbb71FvXr1GDFiBF5eXkRHR7N27VpWrlxJt27divvXYD+mXNbo0aNN4JKvyZMnF7pm06ZNZt++fU0fHx/Tzc3NbNeunTlnzpxrH/xFEhMTTcBMTEws+5tZrab5y/Om+fUQ0/x6iJk5+y5zx5u9zeXPdzeXP9/d3P5GbzNz9l15583MtLKPSUSuC2lpaeaePXvMtLSC/25YrVYzJSOr3L+sVmuJ3n9UVJQJmPXq1TMnT55sTp482XzxxRfNhx9+2KxXr57p6upqvv3224WuCw4ONoODgwscmzx5sgmYPj4+5r59+/KOp6ammg0bNjQNwzCjo6OvGNPp06dNT09P08PDw/zzzz8LnT927Fjef//6668mYN52221mSkpK3nGr1Wo++OCDJmDOnz8/7/iMGTNMwHR0dDTXrVuXdzw7O9u8+eabTcDcsGFDoc9n9OjRRcb6xRdfmIB57733mllZWXnHMzIyzH/+858mYP7xxx+FPiMPDw/zr7/+KtSfv7+/WbNmzQLvJff9xMbGFhlDfpf6ec6vrL+/NTJ4BTNnzmTmzJlXdU2HDh346aefyiagisIwzo/2Xagx6AS0wOTrTUd546d9ZMVbqZNjYV71mfhqHqGIlIK0rByavviLvcO4oj0v9cH94t2abBAZGcnUqVMLHe/fvz+33377VfU1adIkGjVqlPdnNzc3hg8fztSpU9m6dStBQUGXvX7WrFmcO3eOF198scB2rLlq1aqV998ff/wxAJ9//nmBOrmGYfDGG2/w+eef88033zBo0KACfYwYMYLOnTvn/dlisTB69GjCw8PZsmULN954Y7He68cff4yHhwcff/xx3ugegLOzM6+++ipLlizhm2++KbQQ9P7776dFixZF9uns7Fygr9z34+/vX6yY7E3JoJQdwwAn17//CNzdpRGtQgP519w/ORqbwNb0eOpV9aCOaWoCq4jIVejTpw8///xz3p/PnDnDihUrmDhxIp06dWLTpk3FnprUpk2bQsdyE7iEhIQrXr9582ag6O1YL7Zx40Y8PDz46quvijzv5ubGvn37Sj1GgNTUVHbu3ElQUBBvvPFGofNZWefLoRV1/w4dOhTZ55AhQ/jss89o3rw5Q4cOpXv37tx00014eHgUK6byQMmgXHPNa/qw5P+68OIPWzH3mRw8c45X52zlzaEd8Pdwtnd4IlJBuTlZ2PNSH3uHcUVuTpYrN7JBtWrVGD58OGlpadx777288cYbRS6IKEpRNXBzR7ouXtBRlNxkrGbNmldsGxcXR3Z2dpGjmrlSUlJKPUY4X+bNNE2io6Ov+v7Vq1cvsu1//vMf6taty8yZM3nllVd45ZVXcHV1ZciQIbz77rsEBAQUKzZ7UjIoduHl6sR7Q1py4gtv9p9OZk3EWfp9uJb/DG9Nh9CKMawuIuWLYRil8vi1ossdwfrzzz+v2T19fX0BiI6OLrRi+WLe3t4YhkFMTEzZB1bEvQHatm3LH3/8cVXXXqpWrpOTE0888QRPPPEEJ06cYPXq1cyYMYPZs2dz6tQpfvml/E9d0JM5sRsDg5p+brQP8adhgDPxSUnc88VqPv1tF9bMNJWfERGxQVxcHHC+5Mm1kpuA5tbUvZyOHTsSGxvLgQMHyiSW3ELbRY0Wenl50aRJE/bu3VvsR8tXIygoiOHDh/Pzzz/ToEEDfvvtt6suz2MPSgbF7rxcHVkYOIsFAZ/zseOHNFj9L3a8dwcZ34yCeaPPv5a/qIRQROQKrFYrH330EQBdu3a9ZvcdPXo0np6evPvuuwXq7OaKjo7O+++JEycCMG7cuAI1AnOdOnWKvXv32hyLn58fhmFw/PjxIs9PnDiR1NRUxo8fX+Tj4KioqGLv35yRkcHKlSsxL/p+SklJITk5GScnpwK7wJRXGk8X+3F0OV9jMCYCRweDpkHe+Lk7s/90MrEpmWyOiqVZkM/5eYQxEedXJudbkCIiUpkdPHiwwA4kZ8+eZdWqVezdu5fatWvz/PPPX7NYqlWrxuzZsxk2bBgdOnSgf//+NGrUiJiYGDZt2kRISAiLFi0CoG/fvrzwwgu8/PLL1K9fn759+xIcHExsbCwHDx5k7dq1vPLKKzRp0sSmWDw9PWnfvj1r1qxh7NixNGjQAAcHB0aMGEGdOnV44IEH2LhxI7NmzWL9+vXccsstBAUFcfr0afbt28emTZuYO3fuFR93A6SlpeVtONGxY0fq1KnDuXPnWLp0KadOneKpp57C2bn8z4VXMij2c1H5GQMIAlLOJDPp2+1Enj2H66FsFgbOJDTAA5WkFhH528WlZVxcXAgJCeHf//43zzzzzDVfuDBw4EA2bdrE66+/zurVq/nxxx8JCAigVatWjB8/vkDbl156iW7duvGf//yHFStWkJCQQJUqVQgNDWXKlCmMHDmyRLH897//5dFHH2XRokUkJiZimiY33ngjderUydvNpF+/fnz55ZcsXbqUc+fOUa1aNRo0aMA777zDLbfcUqz7eHh48Oabb7JixQrWrl3LmTNn8PPzo3Hjxrz55psMHTq0RO/jWjHMi8c25bqVlJSEj48PiYmJeZNoy6u0zBwm/7iLxX8cYprTh/i5O1P7ge+p5u9r79BExM7S09OJiooiNDQUV1c9LZCKrTg/z2X9/a05g1IuuTlbeOuulrw56AYsDgbxqZnc8fF61kScvfLFIiIiUmxKBqVcG9CqJh1C/PF0cSQuNZPRMzbz9i/7yM65dqvkRERErmdKBqXc83BxpH2IPyPaBeJsZhK2ai/3fLGGk7HxKj8jIiJSQlpAIhWCxcFgcuYHPBCSzr6TSWSfMIn4yAGnIG8CPF3ONwpoeH5ByiUKg4qIiEhhGhmU8i23/MwFgd6udAj1x8vVkawcK9uPJXDgTDJW0/y7/IyIiIgUm0YGK4Fp06Yxbdq0Yu/dWK5cVH4GwB1omZ3D2z/vY86mozifymZ66hc0r+mDm/0iFRERqZA0MlgJTJgwgT179rBlyxZ7h2IbwzhfbDrfy9XNgxcGtuWDkTfi7OpKYloWm6PiWLHvjL2jFRERqVCUDEqFdluLGix6uDPerk5k5Vh5+OutvLx0D5nZWm0sIiJSHEoGpcKr7edOuxA/6vi740w2c9btZ8Sn4Rw7E1dwtbFWHIuIiBSiOYNyXXAwDBpW92Kl+9fsOZlE1hkrkZ8YuNTwpppXvoruWnEsIiJSgEYGpeLLt+K4qpcLHUL98XFzIjvH5K/jiew/lUxO7oigVhyLiIgUoJFBqfguWnHsBrSyWnn/twi+WhsFZ6ClxY2ZPl/i7qwfeRERkfw0MijXh4tWHDu5uPPk7a34bExn3N092HEyjc1RcZxOSrd3pCIiIuWKkkG5rvVoXI1lk7rSLtifbKvJzuhEXvxxF+lZFbDmoohICYSEhBASEmLvMKQcUjIo170aPm7MGtee0AAPDOC7LccYMG09kWfP2Ts0ERGbHD58GMMwCr08PDy44YYbmDp1KufO6d84KR5NoJJKwdHBgXpVPfF1dyLwlEHUqVgGfbSSqf2bcUfLmkVc4KIVxyJS7tWrV4+7774bANM0OXv2LD/99BNTpkzhl19+Ye3atVgsFgBWrFhhz1ClHFMyKJVKFQ8Xfg2ew67oJOJTM2Ex7FntRqPqXlgc8iV/KkEjIhVA/fr1mTJlSoFjGRkZ3HTTTWzYsIE1a9bQo0cP4HziKFIUPSaWyiFf+RkXRwtt6vhS98Jj4xMJaWw5HMe5jOy/26sEjYhUUC4uLnkJ4NmzZ/OOFzVncMqUKRiGQXh4ON9//z1t2rTBzc2NGjVqMHHiRNLS0gr1/8MPP9C9e3eqVauGq6srtWvXpm/fvixatKgs35aUIY0MSuVwUfkZA6gLnI6K5fHvdxBzLgOXQw5M7deAAVFTMNCIoIhUTJmZmYSHh2MYBq1atSrWNdOmTeOnn37ijjvu4Oabb+bnn3/mo48+IjY2lq+//jqv3aeffsrDDz9MjRo1GDhwIFWqVOHkyZNs3ryZRYsWMWDAgLJ5U1KmlAxK5ZFbfiafmxrWZPEjATz63XbWHojh6cX7aRiQRKNAb/2fQ6SiMc2KMaJfinOSDx48mPeY2DRNYmJi+OWXX4iOjuatt96iYcOGxepn+fLlbN26lUaNGgHw6quv0qpVK7755hvefvttgoKCAAgLC8PZ2ZkdO3ZQtWrVAn3ExsaWynuSa0/fd1LpBXi6MGtsBz5dHclHv+7kZGI6SWnZ+J1KonFt1yt3ICLlQ3YGzBtt7yiubPCsQr+Y2ioyMpKpU6cWOt6/f39uv/32YvczadKkvEQQwM3NjeHDhzN16lS2bt2alwwCODk54eTkVKiPKlWqXGX0Ul5ozqAI4OBgMKFHff577424OlpIycxm8OcbmLvpKGbuVnYiIuVMnz59ME0z73X69Gnmzp3L77//TqdOnYiIiChWP23atCl0rFatWgAkJCTkHRsyZAgpKSk0b96cxx9/nKVLlxY4LxWTRgZF8mkf7EdmXX/2nEiC+EymLtzKloMneOmOZni5XPSbsMrPiJQvji7nR93KO0eXMuu6WrVqDB8+nLS0NO69917eeOMNpk+ffsXrfHx8Ch1zdDyfIuTk/F2k/8knn6RKlSp89tlnvPfee7z77rs4OjrSr18/PvjgA0JDQ0vvzcg1o2RQ5CLOFgda1vJhqfssIs+mYN1nsvOQheY1ffB2zZcQqvyMSPlSxLzgyqpDhw4A/Pnnn6Xar2EY3Hfffdx3333Exsaydu1avvnmG77//nsOHDjAzp078+oaSsWhx8Qi+V0oQWMYBsFVPGgT7Ierk4XUzBz+OBzPsfhUTC48Nlb5GREpp+Li4gCwWq1ldo8qVaowYMAAvvvuO3r27MnevXs5ePBgmd1Pyo5GBkXyu6gEjS/QPC2Tp3/Yxar9p+EY3O7lz5vGxzhZ9LuUiJQ/VquVjz76CICuXbuWat+//PILvXr1ynuEDJCVlZWXfLq5uZXq/eTaUDIocrGLHjX5Orny6ZibmL7+MG/8tJf/7YljkHsczWv6UHiWjYjItZO/tAycLzK9atUq9u7dS+3atXn++edL9X5Dhw7F3d2dLl26EBwcTFZWFsuXL2fPnj0MHTqUOnXqlOr95NooVjJYGs//J0+ezIsvvljifkTswTAM7u0SSrtgP/49dyNp53LYeiSeo78fZnS3RhiaNygidnBxaRkXFxdCQkL497//zTPPPENAQECp3u/111/n559/ZvPmzSxZsgQPDw/q16/P559/zrhx40r1XnLtGGYx6mY4ODgQHBxcaBub4jBNkzVr1jBlyhQlg3aWlJSEj48PiYmJeHt72zucCisxOZkjn97FmeQMJmRNolvT2rx91w34ujvbOzSRSiE9PZ2oqChCQ0NxddWCEanYivPzXNbf38V+TDx27FibkzkHB82tsqdp06Yxbdq0AuUBxHY+rk60qOXD8fg0PE5YWbPnGAM/jOG9oS1pXduvYGOVnxERkXJOcwYrgQkTJjBhwoS83yyk5AwMavu5E+72NbuiE0lNzSF+psGRqh7U8Xf/+7Gxys+IiEg5V6xkMCsrq0SjeyW9XqRcuVB+hpgIvF2d6BDiz95TyZxOSufAmXPEp2bRNMgbZ4vD3+VnVPtMRETKqWuygEQFKOW6clH5GUegOSa7txznlWV7yIq3Uivbwg/VZ2geoYiIlHvFHq5r1aoVH3/8MfHx8WUZj0jFkFt+5sLLcHJjWKcGzJvQg5pV/TienMPWowlExaRg1d7GIiJSjhU7Gfzrr7+YNGkSQUFBjBgxghUrVpRlXCIVUpMa3iz5Vxf6twzCNE0iz57jvtl/EHNOO5WIiEj5VOxkcOfOnUycOBFvb2++/fZbevfuTWhoKC+//DJHjx4tyxhFKhQPF0feuusGmtbwxuJgsP5gDP0+XMuGyFh7hyZyXSlGZTSRcq88/BwXOxls1qwZ77//PtHR0cybN4/bbruN48ePM3nyZOrWrUvfvn2ZN28eWVlZZRmvSIVgYBDk60b7EH8aV3UhMTmZsWFr+PjXXeRkpkFW+t+vcvAPgUhFkjsPXd83cj3I/Tm25/qKYhWdvpRTp04xc+ZMZs6cSUREBIZh4Ofnx6hRoxg7diw33HBDacYqJaSi09dQVjrMGw1AjtVk/+lkTiSkAeDv4UyzIG9cHC/8H1/lZ0Su2qFDh3BycqJWrVraAUgqLNM0OX78OFlZWdStW/eS7cr6+7tEyWB+69atY8aMGcybN4+UlBQA2rZty+bNm0ujeykFSgavIdOE5S+eLy1zwcnENPadSibHauLs6EDzIB/8PS6sNh48S+VnRK5CUlIS0dHReHp64uPjg5OTk5JCqTBM0yQrK4vExETOnTtHzZo1L/u9XGGSwVwnTpxg6NChrF+/HsMwtOtFOaJk8BozzbzyM7kiz57jke+2E3E6GRcjm4WBMwkN8MBhyGwlgyJXKSkpiZiYGDIytEBLKiYXFxcCAgKu+J1cbraju5JVq1Yxffp0Fi5cSGpqKgDdunUrre5FKp7c8jP51AtyZd6/evDS0j38sOkgUTEpJKRmUTMpncAqSgZFroa3tzfe3t5kZWVp4EEqHIvFgpOTk73DAEqYDB49epQZM2Ywa9Ysjhw5gmma1KhRg4kTJzJu3Djq169fWnGKXDdcnSy8NrAFnYI9cVxsEJ+ayYRp63l9aHt6NKpm7/BEKhwnJ6dy86UqUhFddTKYkZHBDz/8wPTp0wkPD8dqteLo6Ej//v2599576devn7aeEymGf7SoQepf/uyMTiQ+OZOxM7bwQPe6PN67EU4W/X9IRESujWIng5s3b2bGjBl8++23JCUlYZomjRo1Yty4cYwePZpq1TSiIXK13J0daRfsz2j3GszafJKZq/ex/dAp3hvaipo+bn83dHTRamMRESkTxV5Akjva5+HhwZAhQ7j33nvp1KlTmQYnpUsLSMqZfOVnAM4kpbPnVBLZOSZOFgea1vCmqpfL+ZMqPyMiUmmVmwUkHTt25L777mPo0KF4enqWeiAilY6jy/kk70L5mWrerni5OrEzOpGk9Cx2HE+gjr879at54hATcX5lslYci4hIKSt2Mrhhw4ayjEOk8jGM86N9+crPuAGtcqy8/ct+Zm84jPPpbL5K+4IWQT64XbonERERm5VolvrChQsZMmQIN9xwQ4GVw/v27eOtt94iOjq6xAGKXNdyy8/kezm7uvPcHa35aNRNuLi6kpSWxabDsfy655S9oxURkeuQTaVlrFYrw4cPZ/78+QC4ubmRlpaWd97Pz4/nnnuOnJwcnnnmmdKJVKSS6d0skKbVOnPyy/+QmJbF/32zjWGHz/Hs7U3+3spORESkhGwaGXz//feZN28eDzzwAPHx8Tz++OMFzlevXp2uXbvyv//9r1SCFKmsavm60zbYj+Aq7gDM2nCEQZ/+zuGYFDtHJiIi1wubksGZM2fSrl07PvnkE7y9vYvcD7J+/fpERUWVOECRys7BMGhQzYsvRrSgupvJgegY7vxoJcu2RZ1fkZz/Vbq7S4qISCVg02PigwcPMmHChMu2qVKlCrGxsTYFJSKFdd/1HKtDcth1IpGE1CxYAPtWudGgmhcWhwu/kKkEjYiIXCWbRgbd3NxISkq6bJsjR47g6+trS/cikiu3/MwFrk4W2tTxIyTAAwM4Hp/GlsNxpGRmn2+QW4JGRESkmGwaGWzdujW//PILGRkZuLi4FDofFxfHzz//TLdu3UocoEilVkT5GQegPnDyYAxPzttB3LlMfA6Z/FhjFoE+qkMoIiJXx6aRwYkTJ3Ls2DHuuuuuQuVjIiMjGThwIImJiUycOLFUghSp1IooP4OTK12b1GLRI71oXTeQxEyDXScS2XMyibSsHHtHLCIiFYhNI4N33HEHTz/9NG+88QZ16tTBw8MDgGrVqhEbG4tpmrzwwgv07NmzVIMVkYKqe7vy9X03Mm35Lox1cCIhjSc++50PRt5Ig+pe9g5PREQqAJuLTr/22mv88ssv/OMf/8Dd3R2LxYLVaqVv37789NNPTJ06tTTjlBKYNm0aTZs2pX379vYORcqAxcFgYs8GtK7jh4ujA0fPJHDXx6v4YdPBwquNteJYREQuYpjm1X8zpKWl4eZ25c2xIiIiaNiw4RXbybVR1htdix1lpcO80WRkW9l9IpG4lEwAavi40ijQG0eHfKuLteJYRKRCKevvb5tGBgcNGkROzuXnJUVEROgxsci1cmHVsYujA61r+1KvqicGcDIxnS1RcZzLyP67rVYci4hIPjbNGfz5558ZO3Yss2fPLvL8wYMH6dGjB4mJiSUKTkSKKd+qYwMIBWKOxPPYd9s5nZyOc6QDk2+rz6AjUzHQiKCIiPzNppHBN998kzlz5vDYY48VOhcZGcnNN99MQkICS5YsKXGAIlJMF606bl+/Bgsn9eSmRjVJznbkuSUR7IpOIjvHau9IRUSkHLFpZPCJJ57g9OnTvP/++1SrVo2nnnoKgEOHDtG9e3fi4+NZunQpPXr0KNVgReTqVPF0Yfro9nyx9hAf/rKT00npJKdn4XMikWbBqkkoIiI2JoMA77zzDmfOnOHZZ5+levXqdOvWje7duxMXF8eSJUuUCIqUEw4OBg92r0eHWu6kfm0hNTOH+7/YyFP/aMndNwYXube4iIhUHjYngwAzZswgNjaW+++/nypVqpCYmMjixYvp1atXacUnIqWkTR0/skL92XMiCSM+k1cWb2PLwZO8MrA53i5OBRs7umi1sYhIJWFTaZn80tLS6NWrF9u3b2fx4sXceuutpRWblDKVlqnkLpSfMTE5FpfGwTPnsJombk4WWtT0wdstX0Ko8jMiIuVGWX9/F2tksG7dupc9n5aWhoODAw888ECB44ZhEBkZaXt0IlJ6LpSfMWIiqOPvjo+bE7uiE0nLyuGPI/HUr+ZJbX+386uNc8vPOGleoYjI9a5YyaDVar3svCJXV1dcXV25eJCxhIOOIlKa8pWfAfABmqdn8dyCXSzfewqOQ19PP96xTMPJYvPmRCIiUsEUKxk8fPhwGYchItdEbvmZC3ycXPnonhuZveEIr/5vLz/vi2ewexwtavrgY8cwRUTk2in2r/+rVq264q4jIlLxGIbB6E4h/PBQJ+r4u5OelcPWI/F8te4QVqtG90VErnfFTgZ79epFtWrVGDVqFD/88APnzp0ry7hE5BprUcuHBQ93orq3K1bT5K1f9nPf7D+Iv7DPsYiIXJ+KnQzOnTuX3r17s3TpUgYPHkzVqlXp168fX3zxBSdOnCjLGEXkGvFycaJ5TW8aB3rh4Whl/b7jDPhwBX8cPHl+NXL+l+YEi4hcF666tEx2djarVq1i8eLFLFmyhGPHjmEYBu3atWPAgAH079+fZs2alVW8UgIqLSNXdKH8DEByeja7ohNJyczGMAzqBngQUsX978VkKj8jInJNlPX3d4nrDG7bto1Fixbx448/smPHDgzDIDQ0NC8x7NKlCw4OWplYHigZlCsyTVj+4vnSMkC21WTfySROJaUDUMXDhWZB3jg7Xvj/9OBZKj8jIlLGyn0ymN/Ro0fzEsM1a9aQk5ODv78/t99+OzNnziyt24iNlAxKsZhmXvkZABOTH7ZG89L/dpORZSXI04EFgTPxc3dWMigicg1UqGQwv8TERJYuXcrixYv59ddfSUhIKIvbyFVQMiglEXE6mYe//pNjZ+L4xOlDQgM8CX5oHhZnN3uHJiJyXauwyWB+WVlZODk5XbmhlCklg1JSqZnZvLzwT3rtehKAOXVe4q1hHajmpdFBEZGyUtbf3zZN5tu9ezezZ88mKSkp71haWhoPPfQQNWvWpH79+nz55Zd555QIilwf3J0def3OG2gW5I3FwWBDZCz9PlzH+oMx9g5NRERsZFMy+Oqrr/L000/j5eWVd+zZZ5/l888/Jzk5mWPHjvHggw+yYsWKUgtURMqPGj5udAjxp1l1V5LPJTPuq7V8+PNfZGekqvyMiEgFY9Nj4vr169OxY0e+/vpr4Pxj4ICAAJo0aUJ4eDhxcXG0adOGdu3asXTp0lIPWs4v1nn88cdZvnw5mZmZNG3alEWLFlGzZs1LXqPHxFIq8pWfybGaRJxOJjohDQA/d2eaBXnj6mQ531blZ0RESqxcPiY+ffo0derUyfvzpk2bSE5O5sEHH8TV1ZWgoCDuuOMOduzYUWqByt9iY2Pp0qULvr6+/Pbbb/z111+88MILuLi42Ds0qQwcXc4neYDFwaBJDW+a1/TB0cEgPjWTzVFxxJy7sBo5JqLAymQRESl/HG25yGKxkJHx9z/wa9euxTAMevTokXesSpUqxMRoHlFZePPNNwkNDeWLL77IO1avXj07RiSVimGcH+3Ll+QFAumxKTzy3Xb2nkzC+VA2CwNnUreqh22/cYqIyDVj07/TISEhrFq1Ku/P8+fPJzQ0lODg4Lxj0dHRVKlSpcQBLly4kFtvvZUqVarg5uZGaGgow4cP59ixYyXu+2rMmTOHBx54gHbt2uHi4oJhGFesnbhlyxb69euHn58fHh4edOjQgblz55Y4liVLltCmTRsGDRpEtWrVaN++PQsWLChxvyLFZhjn6wvme4UEVuHbh29m6E0NyMSRw7Ep/HkknhOJafaOVkRELsOmZHDUqFHs2LGDG2+8kW7durF9+3aGDx9eoM2ff/5JgwYNbA7MNE0eeOAB7rzzTqKiohg2bBiTJk2ia9eu/P777xw5csTmvm3x/PPP88UXX3DkyBFq1Khxxfbh4eF06dKFtWvXctddd/HQQw8RExPDyJEjee2110oUS1RUFJ988gnNmjXjl19+YejQoQwePJg1a9aUqF+RknJ1svDSHc35cFhrHB0MEtKyGDBtPb/tOW3v0ERE5FJMG6Snp5tDhgwxHRwcTMMwzNtuu81MTU3NO79582bTMAzzpZdesqV70zRN88MPPzQBc8KECWZ2dnah81lZWVfsY/bs2ebhw4cveT4zM9N85513itXX8uXL8/p6/fXXTcCcMWNGkW2zsrLMevXqmS4uLuaff/6ZdzwpKcls1qyZ6ejoaEZERBS45rnnnjOBy75yOTk5mZ07dy5wff/+/c2RI0de9j0kJiaagJmYmHjF9ytSIplpZuqMQeamV24xGz61wAx+aqn58pLdZkZWjr0jExGpcMr6+9umOYMuLi589913JCUlYRhGgRIzAKGhoWzbto2QkBCbEtS0tDSmTp1K3bp1+eCDD7BYLIXaODpePvTjx48zfvx4goKCWL16NbVr1y5wPjs7m2HDhrFgwQJ8fX259957L9vfLbfcUuz4V65cSWRkJGPHjqV169Z5x728vHjhhRcYNmwYM2bMKDBC+Pjjj3PfffcVq//AwEAaN25c4FiTJk34/fffix2jSFlzc7bQNsSPcR41mb4xmv+u28/2w6d5f0hLavu5F2zs6KIVxyIidlLsZHD06NEMGDCA3r174+HhAXDJ5c0BAQEEBATYHNTy5cuJi4tjzJgx5OTk8OOPPxIREYGvry+33HIL9evXv2IftWrVYu7cuQwdOpQePXoQHh5OrVq1gPOJ4PDhw1mwYAHjx49n3LhxNsdalPDwcAB69+5d6FzusdWrVxc47uvri6+vb7H679SpEwcOHChwLCIiosCcTZHywGIYPJX6LuNCM9hzMpGs0yaRnxi41PChmle+1e8qQSMiYjfFTgYXLVrEnDlzcHFxoWfPngwYMIB//OMfBAYGlnpQf/zxx/ngHB1p2bIl+/fvzzvn4ODAo48+yjvvvHPFfu68807mzp3L8OHD8xLC6tWrM2LECObPn8/YsWP5/PPPMUr5Cyg3UStqzqSfnx8BAQGFkrmr8eijj9K5c2fefvttBg4cyG+//caSJUvyklARu8stPxMTAUBVLxc6uFZhV3QiiWlZ/HU8gdp+7tSv7onFMP4uQeOkbe1ERK61YieDMTExrFy5ksWLF7N06VKWLVuGg4MD7du3Z8CAAfTv358mTZqUSlBnzpwB4N1336VNmzZs3ryZJk2asG3bNu6//37effdd6tWrx0MPPXTFvgYPHkx2djajRo2iZ8+eNG/enAULFjB69GjCwsJKPREESExMBMDHx6fI897e3hw/ftzm/jt27Mi8efN47rnnePHFF2nYsCHz5s2jc+fORbafNm0a06ZNIycnx+Z7ilyVIsrPuAGtrFbeWx7B9HVRcAZaWdyZ4fMF7s42zVgREZFSUOzVxE5OTvTp04dPPvmEo0ePsmXLFp555hlSU1N55plnaN68OQ0bNuTJJ59k3bp1mCXYhspqtQLg7OzMokWLaN++PZ6ennTt2pX58+fj4ODAu+++W+z+hg8fTlhYGBERESxYsIAhQ4Ywffp0HBwqbgW0gQMHsmfPHtLS0tixYwcDBgy4ZNsJEyawZ88etmzZcu0CFCmi/IyTiztP/aMVn47phLu7B9tPprI5Ko7TSen2jlZEpNKyORtq27YtL7/8Mjt27ODQoUO8++671KpViw8++IDu3btTvXp17r33Xn788UfS0q6uzljuiFq7du0ICgoqcK5Zs2bUrVuXyMhIEhISitWf1Wot8Ah1586dnD179qpiuhq58eeOEF4sd1sZkcqqZ+PqLJvUlTZ1/Mi2muyMTmTyj7tIz9LotYjItVYqQ2MhISE88sgjrFy5ktOnTzNz5ky6devGvHnzGDBgAFWrVr2q/ho1agRwyQUVuceLk2Sapsn48eOZNWsWo0aN4quvvmL//v307Nkz73F0acudK1jUvMD4+HhiYmJKVINR5HpQw8eN/97bgZAq5xekfbvlGAM/+Z1DZ8/ZOTIRkcql1J+T+vn5MWrUKObPn09MTAxLly7l7rvvvqo+cre127t3b6FzWVlZHDx4EA8PjysmmaZpcv/99zN9+nRGjBjBzJkzGTduHGFhYezdu7fMEsLu3bsD8OuvvxY6l3sst41IZebo4ED9ap60ru1LoLvBoZMx3PnRSn784xBkpRd8lWDqiYiIXFqZztp2dnamX79+9OvX76quq1evHr179+bXX38lLCysQP29N954g4SEBO6+++7L1ho0TZOHHnqIsLAwhg0bxuzZs/PmCI4dOxbTNLnvvvvo1asXK1euvOrRy8vp1asXdevWZe7cuUycOJFWrVoBkJyczMsvv4yjoyNjxowptfuJVHRVPF34NWQOu6KTiE/NhMWwZ7Ubjap7YXG4sMhL5WdERMqEYdqw0iMuLg5HR8dL1hkEOHr0KIcPH6Zbt242BRYZGUmnTp04c+YMt99+O40bN2bbtm2sXLmS4OBgNm7ceNmyNtHR0bRp04abb76ZuXPnFlm4OiwsjAcffJBvv/2Wu+6667LxhIWFsW7dOuD8nMM///yTzp0759U8HDBgQIFFHKtWraJPnz64uLgwfPhwvL29WbBgAVFRUbzyyis899xzNnwqJZM7VzExMfGyf3ci14xpwvIX80rQmKbJoZgUDsekYAKeLo60qOmDh8uFX/wGz1L5GRGpdMr8+/tqtitZt26d2bx5c9PBwcF0cHAwb7zxRnPNmjVFtp0yZYrp4OBQou1Rjh49ao4ZM8YMDAw0nZyczNq1a5sTJkwwT58+XazrIyMjr7jV3P79+4vV1+jRoy+7VdzkyZMLXbNp0yazb9++po+Pj+nm5ma2a9fOnDNnTrHuVxa0HZ2US1araWamFXj9vu+4edNL/zMbPrXAbPf8D2b0J/80za+HnD8vIlLJlPX3d7FHBvfv30+bNm1IS0ujYcOGODk5sXv3biwWC6+88gpPPfVUgfZTp07lpZdeUm27ckQjg1KRnE3O4NHvtrPl4AmmOX1IDR9XQh+ej7u7p71DExG5psr6+7vYC0hee+010tLS+Pbbb9m3bx87d+5k48aN1K9fn2effZYXXnih1IMTkcqrqpcLs8Z1YFKvBhjAycR07vzkd/adSrJ3aCIi15ViJ4OrVq2iX79+DBkyJO9Yhw4d2LRpEzfffDOvvfYazz77bJkEKSKVk8XB4OGb69Mm2A8XRweiYlK44+P1fLv5aIkK24uIyN+KnQyePn2aFi1aFDru7e3NsmXL6N27N2+++SZPP/10qQYoIuLn7kzH0Cr0qO8L2elMXrCVx7/ZxLmUcyo/IyJSQsUuLRMQEEBSUtGPZ1xcXFi8eDH9+/fn7bffxmq14uHhUWpBiog4OzrwqeVTjtRMJfJsCuZek78iHWlR0xsvV6fzjVR+RkTkqhU7Gaxfv35eaZWiODs7s3jxYu644w7efffdy5Z9EREpNkeX80leTASGYRBSxQNfdyd2RSeRmpnNlsPxNKzuSU0/N4yYCMjOUPkZEZGrUOxksE+fPrzwwgvs3LmzyMfFUHCEcPny5Rj67VxESsowzo/2ZWfkHfIFmqVm8vQPOwmPOIPzsWzmpn5F40AvnOwWqIhIxVTsOYNDhgxhyJAhbNu27bLtXFxc+PHHH7nnnntsLjgtIlKAYZwf7cv38vPx5rOxnXji9pbkODhxOimdzVFx7IxOsHe0IiIVik07kEjFpDqDcr3afugk5+bcTXpWDpOsj/B4v5aM6RSipxMicl0oN3UGRUTKq1a1/egY6k81LxcccrJ4Y8l2/jV7A4lJyQVXG2vFsYhIIcWeMygiUp45WRxoUcuHZe6zOXDmHNaDJjs/sNCipg8+bvlmEmrFsYhIATaPDE6fPr004xARsd2FFccGBrX93WkX7Ie7s4X0rBy2HonnSGwqJhdGBHNXHIuICGDjyOB7773HE088wbhx40o7HhGRq3fRimNvoEVGFs8v2s3Pu05CNNzq4ct7Tp/gbNHsGBGR/K76X8UXX3yRJ554ggkTJpRFPCIitrloxbGXpxcfjOzIiwPbYDq6sjwigc1RcSSkZto7UhGRcuWqksFJkybx6quvMnLkSP7zn/+UVUwiIqXCMAxGdgxm0cOdCanicf6x8dEEPl8TidWqhSQiIlDMZNBqtTJmzBg++ugj+vfvz8yZM8s4LBGR0tM0yJsfHu5EoLcrpmny3vIIxs7cQuw5zR0UESlWMvjBBx8we/ZsevTowXfffYeDg+bciEjF4unsSLOa3jSt4Y2Xk5WNEdEM+HAFmw+cUPkZEanUirWAJDk5GcMwGDFiBM7OzmUdk4hImTAwCPJ1I9xtLjujE0lJzyZ5NkRV9SSkivvfRapVfkZEKpFiDfH1798fPz8/Hn74YX766aeyjklEpPRdKD8D4OniSIcQf4J83DCByLPn2HYsgYzsnPNtVX5GRCqRYm9Ht3v3bnr37k1CQgK//PILXbp0KevYpJRpOzqp9EyzUJK3cFs0U5bsJj0rh0APBxYGzsTfwxkGzzq/MllExM7KzXZ0zZo1Y+3atVSvXp1//OMfbNu2rdSDEREpUxeVn8HJlYEd6vHD//UkpHoVTqVY2XY0nsiz58jRvEERqSSuaiVI3bp1Wb9+PbVq1aJv375lFZOIyDVVv5oni//VmSHtamECUTEpjJ6+mdNJ6fYOTUSkzF31suAaNWqwevVqQkJCyiAcERH7cHWy8PIdLWge5IOjg8GWw3Hc9uFaVkectXdoIiJlyqYaMVWqVGHFihWlHYuIiN0F+rjSPtSfFoFupKSc4/7p63hn2Q6yM1JVgkZErks27U0M4OnpWZpxiIiUGx7OjnwXMJ0D1nMcj0+FDbB9uxPNa/rg6mT5u6FK0IjIdUDVo0VEcuUrP2NxMGgc6EWLmucfGyekZbEpKo6Y/LuWqASNiFwHbB4ZFBG57hjG+ZG+fAledSA9LoVHv9vB7hOJcAjG31STf597BweNCIrIdcDmkcHff/+dgQMHUrduXVxcXLBYLIVejo7KNUWkgimi/Exw9Sp883B3RnRuSAbOfLkhmq1H4knLzLF3tCIiJWZTtjZnzhxGjx6NaZrUrVuXDh06KPETkeuai6OFyf9sxo11q/DcvC0kpmWx+XAsmXtPc+sNwfYOT0TEZsXegSS/Ro0aERsby08//UT79u3LIi4pRdOmTWPatGnk5OQQERGhHUhESujYmThOhQ0lMS2LCVmTGNG5IU/f1hgXR8uVLxYRuUplvQOJTcmgm5sb9957Lx9//HGpByRlR9vRiZSSrHSs399D5Jlz3Hl6LJk40izIhw+GtqKOv3vBto4uWm0sIiVS1t/fNj3bDQkJITMzs7RjERGpMBwMgwbVvVjp8TV7TiSRddbKoU8MXGp4U907357GKj8jIuWcTQtIHnzwQZYuXUpcXFxpxyMiUv7lK0FT1dOFjqH++Lo5kW012RmdyL5TyeRYLzx0UfkZESnnbBoZnDRpEgcPHqRz5848//zztGzZ8pLDlnXq1ClRgCIi5c5FJWhcgVZWKx+uOMAXaw7BGWjh4MZs3y9xd9biOhEp32z+V6pVq1bMmTOHe+6555JtDMMgOzvb1luIiJRfuSVoLnAEHuvXknb1g/j3d9vZeeocm+PjaBzoTaD9ohQRuSKbksGPPvqIRx55BCcnJ3r06EGNGjVUWkZEBOjesCrLJnXlsbmbyI422XUikWmLd/LcHW0KbmUnIlJO2LSauG7dumRnZ/P7779Tq1atsohLyoBWE4tcO9kZqRz5bDCHY1J4OGsSIdWrMG1kG+pX077uInJ1yvr726YFJKdOnWLQoEFKBEVELsHRwYF6VT1pXcePQA8HDp+OZdBHK1m4ORKy0gu+rv53chGRUmPTs9369euTkJBQyqGIiFx//D2c+TX4v+w+kURcSiYsgT1r3GgU6IXF4UK5GZWfERE7smlk8NFHH2Xx4sUcOXKktOMREbk+5Cs/4+JooXVtX+pV9cQATiSmsflwHOcyLiywU/kZEbEjm0YG69WrR/fu3WnXrh2TJk2iVatWl3yG3a1btxIFKCJSIV1UfsYAQoEzh+N4/PvtnEnOwOuQlcU1ZhHk64rGBEXEXmxaQOLg4IBhGORealzm0UZOTo7t0Ump0gISkfIh9lwGj36/g00R0Uxz+pBAb1dCHp6Pp4cWl4hIYeVyO7oXX3zxsgmgiIhcWhVPF2aOac+XqzwwVhucSkrnsU9+5/2RN9I0SL+oici1ZdPIoFRMGhkUKWey0kmYNZxdJ5K4N/VfmI6uvPiPpozsWEe/cItInnJZWkZEREqHr7szHUL9ubWhL0Z2Oi8v+pNHvt5E0rlklZ8RkWvCpsfE69ev54cffuDJJ58kMLDwRkunTp3irbfeYsiQIdx4440lDlJE5HrmbHHgI8unHKuVxsEz57DuN9n1voXmQT54uzmdb6TyMyJSRmwaGXzvvfdYsmRJkYkgQGBgIEuXLuX9998vUXAiIte1fOVnDAzq+LvTNtgPVycLqZk5/HEknmNxqZiYKj8jImXGppHBLVu20KtXr8u26datG8uXL7cpKBGRSuGi8jMAPkCLtCyeWbCTFftO43w8m69Tw2hSwxsn+0UqItcxm0YGz5w5Q82aNS/bJjAwkDNnztgUlIhIpWEY4ORa4OXj7cW00Tfx9D9bYbU4cSY5g81RcWw/Fm/vaEXkOmRTMujr68vRo0cv2+bIkSN4eqpmloiILQzDYGznUL4dfyNuThbSsnIYEbaJL9ccQkUgRKQ02ZQM3nTTTSxcuJBjx44Vef7o0aMsWrSITp06lSg4EZHKrkVNXzqE+lPd25Ucq8mry/Zy36w/iE/JtHdoInKdsCkZ/Pe//01qaiqdO3dm9uzZnDx5EoCTJ08ya9YsOnfuTFpaGo899lipBisiUhk5WRxoXtObqbc3wNMxm3X7jjPgwxVsPXhS5WdEpMRsLjo9bdo0HnnkEaxW6/mO8m1P5+DgwAcffMCECRNKL1IpMRWdFqmAstJh3ui8PyanZ7EzOonUzGwMw6BeVQ+C/d3PF6lW+RmR61K53I4OYMKECXTv3p1PP/2ULVu2kJCQgK+vLx06dODBBx+kefPmpRmniEjllFt+JiYCAC9XJzqE+rPvZBKnktI5eOYc8SlZNAvyxjm3/IyTq52DFpGKRNvRVSIaGRSpoEyzUI1BE5P5W4/z0tI9kJ3JJ26f0rymD36jv1EyKHKdKTfb0QUHBzNp0iRWrlxJTk5OqQciIiKXUET5GcPJjcE3NmD+v3pSM8CHjGwrfx6JZ1r4QXKs+h1fRIqv2MlgkyZN+Pzzz7n11lsJCAjg7rvvZt68eSQnJ5dlfCIichmNAr1Y8HAnavi4YQL/WXGAe6Zv4kxyur1DE5EKotjJ4M8//0xMTAzffPMN/fr1Y9myZQwdOpSqVavSt29fPvvsM6Kjo8syVhERKYK7kyPNgrxpGuSNt5PJHwdPMuCDlfy+P7rgamOtOhaRItg8ZzAnJ4fw8HAWL17MkiVLOHLkCIZh0KZNGwYMGED//v1p0aJFaccrJaA5gyLXqXwrjs9lZLMrOpFzGdkYQEiAB3UDPM6vNs6lVcciFUpZf3+X2gKSHTt2sGjRIn788Ue2bduGYRgEBwfnJYY333xzadxGSkDJoMh1yjRh+Yt5K45zrCYRp5OJTkgDwM/dmeY1vXFxtPx9zeBZWmgiUkFUmGQwv+PHj+clhqtXryY7O1uLTsoBJYMi17EiVhz/uOMEk3/cRWpmDv7uzrx9ZxO6/PXM+ZNKBkUqjAqZDOaXlJTEsmXLGDZsWFneRopByaBI5XPo7DkmzN3G3pNJuJDJ/wLDqFvVA4chs5UMilQQ5aa0jK28vb2VCIqI2Endqp4sfLgTIzvWAeBwbAp/HonnRGKanSMTkfLC5h1I9uzZw8cff5y3+0hRj4ENwyAyMrJEAYqISMm4Oll4dWALOod44rjIICEti4enreeNoe3p2bi6vcMTETuzKRlcvXo1ffv2JSMjA0dHR6pXr46jY+GutLmJiEj50a95DVJ3+LMrOpG05DQemvk747qE8u9bG+LkcNGDIkcXrTYWqSRsSgaffvppsrOzCQsLY/To0VgslitfJCIidufu7EjbEH/mn57BsfhU2ATb/3KieU0f3Jzy/Vuu8jMilYZNcwZ37NjBsGHDGDdunBJBOzl69ChDhgzBz88PDw8P2rdvr6LfInJ5ji4Q0BCLYdAo0IsbavngaDFITMtic1QsZ5LzrUaOiSi0OllErk82jQx6eXlRrVq10o5Fiik2NpYuXbrQt29ffvvtN3x9fdm9ezcuLi72Dk1EyjPDOD/adyHJqwZkxKfy6Pc72Hk8AaJg7I1BPJnyLg4aERSpNGxKBm+//XbWrl1b2rFIMb355puEhobyxRdf5B2rV6+eHSMSkQrDMAqUlKldzZW5D3bnrZ/3EbYuihkbT9DTK54WNX1ws2OYInLt2PSY+K233iIxMZGJEyeSmppa2jFd8p6GYWAYBhs3brwm98xvzpw5PPDAA7Rr1w4XFxcMw2DmzJmXvWbLli3069cv71Fuhw4dmDt3boljWbJkCW3atGHQoEFUq1aN9u3bs2DBghL3KyKVk7OjA8//oylh97TD29WJpPQsNkXF8vPuU/YOTUSuAZuKTvfs2ZOEhAR27NiBh4cHDRo0wMfHp3DnhsGKFStKHOTevXtp3bo1jo6OpKSksGHDBm688cYS93s1QkJCOHLkCAEBAXh4eHDkyBFmzJjBmDFjimwfHh5Onz59cHZ2ZtiwYfj4+LBgwQKioqJ49dVXefbZZ22OxdXVFdM0eeqppxg4cCArVqzgqaeeYtWqVXTr1u2S16notIhcSXRMPCe/GEJCWhYTsiYx5MYGPHd7E1ydND9cxF7K5Q4kDheXILhU54ZR4m3ocnJyuOmmmzAMg4YNGzJnzpxiJ4P//e9/6datG8HBwUWez8rK4j//+Q+TJk0qsjROfr/99hsNGjQgODiYN954g2eeeeaSyWB2djaNGzfm+PHjbNiwgdatWwOQnJzMTTfdxP79+9mzZw8NGjTIu+b555/n1VdfvWwMuX9Vzs7OdOjQgXXr1uWdu+OOO/Dy8mLOnDmXvF7JoIhcUVY61u/v4dDZFAaeGkMmjjQO9ObDYa0IqeJRsK3Kz4hcE2X9/W3TnEGr1VracVzSm2++yY4dO/jzzz95++23i33d8ePHGT9+PEFBQaxevZratWsXOJ+dnc2wYcNYsGABvr6+3HvvvZft75Zbbin2vVeuXElkZCRjx47NSwTh/MKbF154gWHDhjFjxgxee+21vHOPP/449913X7H6DwwMpHHjxgWONWnShN9//73YMYqIXIqDYVC/mier3L9mz4kkMmOtHP7UwDXQm0CffFvYqfyMyHXB5h1IroVdu3YxdepUnn/+eZo1a3ZV19aqVYu5c+cydOhQevToQXh4OLVq1QLOJ4LDhw9nwYIFjB8/nnHjxpVq3OHh4QD07t270LncY6tXry5w3NfXF19f32L136lTJw4cOFDgWERExCVHQEVEiu1C+RliIgjwdKFDqD+7TyQRn5rJrhOJxKdm0rC6FxYH4+/yM9rjWKRCK5VkMCUlhaSkJLy9vfHw8LjyBcWQnZ3NmDFjaNKkCU8//bRNfdx5553MnTuX4cOH5yWE1atXZ8SIEcyfP5+xY8fy+eefY5Tyb7W5iVr+x8C5/Pz8CAgIKJTMXY1HH32Uzp078/bbbzNw4EB+++03lixZkpeEiojY7KLyM65AS6uVj1cd5NPVkXAWmjm48l/fMDxcyvV4gogUk02rieH8fLvXXnuNhg0b4u3tTa1atfD29qZBgwa89tprZGZmliiw1157jR07djB9+nScnJxs7mfw4MH897//JSoqip49ezJ06FDmzZvH6NGjCQsLK/VEECAxMRGgyEU1AN7e3nltbNGxY0fmzZvHjBkzaNGiBZ9++inz5s2jc+fORbafNm0aTZs2pX379jbfU0QqkdzyMxdeji7uPNL3Br4a1xUvTy92n05n8+E4Tiam2TtSESkFNv1al5aWxq233sqGDRuwWCw0bNiQwMBATp8+TWRkJC+88AJLly5lxYoVuLldfaWqHTt28Morr/D444/Tpk0bW0IsYPjw4WRkZDB27FgiIiIYMmQI06dPL/ZCmPJo4MCBDBw4sFhtJ0yYwIQJE/ImoIqI2KJLgwCWTerCE99sJueYye4TSXy44C9eHNgGd2eNEopUVDbXGfz9998ZPnw4hw4dYu/evaxatYo9e/YQFRXFyJEj2bhxI2+99ZZNQY0ePZp69eoxZcoUm66/mNVqLfAIdefOnZw9e7ZU+i5KbsJ1qdE/JWUiUlFV83Jl+pj21A3wxAAWbovmjo/XE3E62d6hiYiNbEoGv/32W9q1a8ecOXPyFmXkCgoKYvbs2bRr145vv/3WpqB27NjBvn37cHV1zSs0bRgGs2bNAsgrNbNo0aIr9mWaJuPHj2fWrFmMGjWKr776iv3799OzZ0/OnDljU3xXkjtXsKh5gfHx8cTExBQ5n1BEpCKwGAZ1q3rQuo4fQZ4OHD0Tx10fr2TexgOYWWmQlf736+qrl4nINWbTuP7hw4d59NFHL9umV69efPDBB7Z0f8kyL2vWrOHAgQP079+fqlWrEhISctl+TNPk/vvvZ/r06YwYMYKZM2fi4OCAYRjce++99OzZk5UrV5b6Psvdu3fn9ddf59dff2XYsGEFzv366695bUREKjJ/D2d+qTOH3ScSiU3JhP/B7rWuNK7hjaPDhfnYKj8jUu7ZlAy6u7tf8THr2bNncXd3tymosLCwIo+PGTOGAwcO8Mwzz1yx6LRpmjz00EOEhYUxbNgwZs+enTdHcOzYsZimyX333UevXr1YuXIlVatWtSnWovTq1Yu6desyd+5cJk6cSKtWrYDzRadffvllHB0dL7lziYhIuZev/IyzowOtavtyODaVQzEpnEpKJzk9m+Y1ffBydVT5GZEKwKZk8MYbb+Tbb7/lkUceKbL+3549e/juu+/sOvp14sQJFi5cyJAhQ5gzZw4WS8GtlMaNG4fVauXBBx9k9erV3HXXXZftLywsLG/Hj507d+Ydy52LOGDAAAYMGACAo6MjYWFh9OnTh65duzJ8+HC8vb3ztqN75ZVXaNiwYem+YRGRa+Wi8jMGEArEHonn399t53RyOh6HrPxYYyY1/dzQmKBI+WZTMvjcc8+xfPly2rdvz7333kv37t2pXr06p0+fJjw8nBkzZpCVlcUzzzxT2vEWW82aNdmwYQN16tQplAjmuu++++jWrVuxErN169blzVnMtX79etavXw+c37s4NxkE6NGjB+vWrWPy5Ml8//33ZGZm0qxZM15++WVGjhxp+xsTESkPcsvP5NOufg0WPVKFx77fzu/7o9l3Kpn41CxCMrLw0sigSLll097EAD/88AP33XcfiYmJBWr1maaJj48PX3755RVH2+Ta0t7EInItWK0mM1bvJXTVBKymyZtez/D+yBtpXlNVFERsUdbf3zYngwDnzp1j0aJFbNu2LW8HktatW3PHHXfg5eVVmnFKKVAyKCLXTFY6ibNHsDM6kXtT/4VpceXZfo0Z3SmkTIr9i1zPynUyKBWLkkERuWay0mHeaLJyrDyWM4Ff9sUDcGuTQF69szk+rvl2lnJ00Wpjkcso6+9vm+YM9uzZkzFjxnDPPfdcss0333zDl19+ycqVK20OTkREKjYniwMfWj7hWK00Dp45h/Wgya73LTSv6YOP24WEUOVnROzKpqLT4eHhHD58+LJtjh49yurVq23pXkREKrrc8jOAgUEdf3faBvvh5mQhLSuHrUfiORqXion5d/kZEbGLMttMMiUlBScnpys3FBGR689F5WcAfIAWGVk8v3AXv+w+hfPxbOakhNE0yBt9W4jYT7GTwaNHjxb4c0JCQqFjADk5ORw/fpx58+ZdcYcQERG5jhVRfsbbyZUP776ROZuO8ubS7Zw9l8GmqDjcj8bTpl4NOwUqUrkVewFJ7jZuxWWaJm+//TaPPfaYzcFJ6dICEhEpT/YcPU3CrJGkZmbzfzmPMKlPC+7vWhcHB80dFMmv3CwgueeeezAMA9M0mT17Ni1btszbZi0/i8WCv78/PXv2pG/fvqUZq4iIXEea1vAhO9SffSeTsMaavPHTPjYeiuXdwS2p4uli7/BEKg2bSsuEhoby6KOPMnHixLKIScqIRgZFpFy5UH7GxGRB8GSm/HSQzGwr1bxceHdIKzqE+BdsrxI0UkmVm5HB/KKioko7DhERqaQMDAYdeYk+9bLZeTyRlPRskmdDVFVPQqq4/z1FSSVoRMpEiVcT//7772zfvj0vW23VqhWdO3cujdhEROR6llt+JiYCAE8XRzqE+rPvVBInE9OJPHuOhNRMmgb54OLo8HcJGu1zLFKqbE4GN23axOjRozlw4ABwfsFI7m9vDRo0YMaMGdx0002lE6WIiFx/iig/YwGaAfu3RTN1yW7SE3Koke3Aguoz8fdwtluoItczm5LBvXv3csstt5CSkkKfPn24+eabCQwM5PTp04SHh/Pzzz/Tp08fNm7cSNOmTUs7ZhERuV4UUX4G4M4O9WgRXI0Jc//kyOk4tmXEExrgQbBpYrFDmCLXM5sWkAwbNoyFCxeydOlSbr311kLnf/vtN26//XYGDhzIt99+WyqBSslpAYmIVDRpmTm8uvhPbv7rCQBm1ZrKu8M7Us1bj4ql8ijr72+btqNbtWoVd911V5GJIMAtt9zCoEGDWLVqVYmCExGRys3N2cIrA1rQPMgHRweDzVFx3PbhWtZEnLV3aCLXDZuSwcTExCvuLhIaGkpiYqIt3YuIiBQQ6ONK+1B/mge6cS7lHONnrOO9n3aQnZF6vkRN7uvqH3aJVHo2zRkMCgpi48aNl22zadMmgoKCbApKRETkYh7OjnwfMJ0D1mSOx6fB77B9uxPNg3xwdbowk1DlZ0Sumk0jg3fccQfh4eG88MILpKenFziXnp7O5MmTWbVqFXfccUepBCkiIpVYbgkawOJg0DjQmxY1zz82TkjNYlNUHDHnLqxIzi0/IyLFZtMCkri4ODp27MihQ4eoUqUKHTp0oHr16pw+fZotW7Zw9uxZ6taty+bNm/H3979yh3JNaAGJiFRYplkoyTsSm8Ij329nz4kknMlmQeAM6lX1xGHIbNUilOtKuVxA4u/vz6ZNmxgzZgwpKSksW7aMGTNmsGzZMpKTkxk7diwbN25UIigiIqUjtwRNvldwYBW+ffhmhndqSCaOHIlNZeuReI4npNo7WpEKxaaRwfyysrLYt28fSUlJeHt707hxY5ycnEorPilFGhkUkevVrzsO47xwLNk5Js9YHufVwe3o3SzQ3mGJlIpyuTdxfk5OTrRo0aI0YhEREbFJ76aBpG2rws4TiaQnpfF//93APTeF8ESfRjhbLnoI5uiiBSYi+ZQ4GRQRESkP3JwttAv244czMzgalwp/wPZdTrSo6YObc759S7TiWKQAm+YMwvldRvr160fVqlVxcnLCYrEUejk6KtcUEZFr4MKKYwfDoGF1L1rW8sXJ4kBSehabDsdyJilf5QutOBYpwKZs7YcffmDo0KFYrVaCg4Np3LixEj8REbEfwzg/2nchyasK1E9M47Hvd7DtaDwchns61ODp1PewOGhEUCQ/mzK4l156CTc3NxYvXkzPnj1LOyYREZGrl7vi+IKaAa7894FuvPtrBJ+tjmT25pPc4hVHi5o+uNsxTJHyxqbHxPv372fYsGFKBEVEpFxzsjjw9G2NmTG2PX7uziSnZ7M5Ko6lO0/aOzSRcsOmZDAgIAB3d/1eJSIiFUOPRtVYNKEzfu7OZFtNHvt+O88s2El6Vo69QxOxO5uSwSFDhvDbb7+RnZ1d2vGIiIiUiUBvV1rX8SU0wAMXI5sFmw8y+ONVRJ6Igaz0gq+SleAVqVBsKjqdmppK7969qV69Ou+//z516tQpi9iklKnotIhUalnpMG80ALEpGew+kURmtvXCfsde1PBx+7utys9IOVIuik7XrVu30LGsrCw2bNjAokWL8PX1xcfHp1AbwzCIjIwseZQiIiIldaH8DDERVPFwoWOoP7uik4hPzWT3iSTiU7JoFOh1frVxbvkZ7XEslUCxkkGr1Ypx0W9Hjo6OBUYEixpgLOFOdyIiIqXnovIzLkAr0+ST8IN8vOogxEBjw4Wv/b/C00Xl0qTyKNZP++HDh8s4DBERkWvgovIzFuD/eregbb0aTPp2O/vOJrMlKY5G1b2ogYkeEktlYPMOJCIiIteLTvUC+GlSVzrXDyDHarLnZBJPzNtBSoYWSsr1r8TJYHZ2Nnv27GHDhg3s2bNHK4xFRKRCCvB0IeyedtSr6okBLPnrJP/8aB17TiTZOzSRMmVzMnj27FnGjx+Pr68vLVq0oEuXLrRo0QJfX1/uv/9+zp49W5pxioiIlDkHwyA0wIM2wX7U8rIQHRPPkE9W8c3vEZhZaSo/I9clm0rLREdH07lzZ44ePUrVqlVp27Yt1atX5/Tp02zdupWzZ88SHBzMunXrqFmzZlnELTZQaRkRkSvIV34mM8fKnhNJxJw7v+CkurcrTQK9cLRcGEdR+Rm5Rsr6+9umkcEnn3ySo0ePMnXqVI4cOcKyZcuYMWMGy5Yt48iRI0yZMoUjR47w1FNPlXa8IiIiZSe3/AzgbHGgZS0fGlTzxMEwOJ2UzubDcSSlZ51vm1t+RqSCs2lksEqVKnTs2JFly5Zdsk3fvn3ZsmULsbGxJQpQSo9GBkVEisE0CyV5247F8+/vdnAiMQ0Pi5XFNWZSy98NY/Bs1SKUMlcuRwYzMzNp06bNZdu0bduWzMxMm4ISERGxm9zyM/lerevWYOGknnRtUpuUHAf2n05m5/FEEnNHCUUqMJuSwbZt27Jv377Lttm3bx9t27a1KSgREZHyxtfdmS/vacuztzXBwTA4k5zBnZ+sZ8exBHuHJlIiNiWDL7/8MkuXLmXmzJlFnp8+fTrLli3jlVdeKUlschlHjx5lyJAh+Pn54eHhQfv27YmOjrZ3WCIi1zXDMBjdKYS2wX64OVk4Hp/GXZ/9zlfrorTrllRYNu23s2rVKnr06MG9997LW2+9RefOnalWrRpnzpxh/fr17N+/n969e7Ny5UpWrlyZd51hGLzwwgulFnxlFRsbS5cuXejbty+//fYbvr6+7N69GxcXF3uHJiJSKfi4OdEh1J9+Vn+W7Y3jraXb2XLgJG8Mao6vm3PBxo4uWnEs5ZpNC0gcHGwrT2gYBjk5OTZdK3978skn2bRpE6tXr76q67SARESkFOQrP2Nicjw+jQOnz2E1TVydLDSv6YOvm9Pf7VWCRkqorL+/bR4ZLEsJCQm8+OKLbNmyhaioKOLj4wkICKBRo0ZMmDCBO++8E+Ma/59qzpw5rF27lq1bt7Jz504yMzOZMWMGY8aMueQ1W7ZsYfLkyWzYsIHMzEyaNWvGI488wogRI0oUy5IlS+jbty+DBg1i7dq1BAcH88wzz3DnnXeWqF8RESmG3PIzMREYGNT2c8fHzYld0YmkZubw55F46lX1oI6/+/nvqtwSNFp1LOWUTSODZe3gwYO0atWKG2+8kfr16+Pv78+ZM2dYsmQJZ86cYfz48XzxxRfXNKaQkBCOHDlCQEAAHh4eHDly5LLJYHh4OH369MHZ2Zlhw4bh4+PDggULiIqK4tVXX+XZZ5+1ORZXV1dM0+Spp55i4MCBrFixgqeeeopVq1bRrVu3S16nkUERkVJSRPmZ5IwsXly8m2U7TwLQq4EvHzh/grPFAQbPUjIoNivz72+zHMrOzjazsrIKHU9KSjKbNm1qAuauXbuu2M/s2bPNw4cPX/J8Zmam+c477xR5r4stX748r6/XX3/dBMwZM2YU2TYrK8usV6+e6eLiYv75558F4m/WrJnp6OhoRkREFLjmueeeM4HLvnI5OTmZnTt3LnB9//79zZEjR172PSQmJpqAmZiYeMX3KyIiV89qtZpfbzxiNnxumdnwqQXm2ik9zbgvB5hmZpq9Q5MKrKy/v4s1+S8iIoK4uDibE86rvd5iseDoWPgJtpeXF3369AHOjx5ezvHjxxk/fjw9evTg2LFjhc5nZ2czbNgwHn/8cWbNmnXFmG655RaCg4OLFf/KlSuJjIxkxIgRtG7dukD8L7zwAtnZ2cyYMaPANY8//jhRUVGXfeUKDAykcePGBa5v0qQJR48eLVZ8IiJSNgzDYETHOiya0JmQAA/Ss88/Nv509UGs1nL3IE4EKGZpmSZNmvDxxx/bfJMmTZowbdo0m6/PlZ6ezsqVKzEMg6ZNm162ba1atZg7dy7Hjh2jR48eHD9+PO9cdnY2w4cPZ8GCBYwfP55x48aVOLb8wsPDAejdu3ehc7nHLl784evrS0hIyGVfuTp16sSBAwcKXB8REVHsZFVERMpWkxreLHioEzV8XDGBD347wOgZmzmbrO3rpPwp1gISs4TTCk3TtKmPhIQEPvjgA6xWK2fOnGHZsmUcO3aMyZMn06BBgytef+eddzJ37lyGDx9Ojx49CA8Pp3r16owYMYL58+czduxYPv/881JfjJKbqBUVo5+fHwEBAYWSuavx6KOP0rlzZ95++20GDhzIb7/9xpIlS/KSUBERsT8PZ0eaBnnj5+6M10krmw+cYMCHsbwzuCU31a1SsLHKz4gdFXs18QcffHDJItNXYmuylZCQwNSpU/P+7OTkxNtvv81jjz1W7D4GDx5MdnY2o0aNomfPnjRv3pwFCxYwevRowsLCymRVcmJiIgA+Pj5Fnvf29i4wUnm1OnbsyLx583juued48cUXadiwIfPmzaNz585Ftp82bRrTpk1TWR8RkWvMwCDI141wt7nsjE4kJSOb1DlwKMCD0ACPv7+DVH5G7KhYyWCdOnUwDMPmEcI6derg6+t71deFhIRgmiY5OTkcO3aMb7/9lueee47ff/+d77//vsh5hUUZPnw4GRkZjB07loiICIYMGcL06dNtrpdYHgwcOJCBAwcWq+2ECROYMGFC3mokERG5BvKVoPF0caRDiD/7TydzIiGNQzEpxKdm0bymNy6OFpWfEbsqVjZ1+PDhMg7j8iwWCyEhITz99NNYLBaefPJJvvzySx566KFiXW+1Wgs8Qt25cydnz56levXqZRJvbsKVO0J4MSVlIiKVgGGcH+27UILGAjQFIrZHM2XJbtIScwjMNlgQOJMqHtpBSuynwg2N5S7AKO78ONM0GT9+PLNmzWLUqFF89dVX7N+/n549e3LmzJkyiTF3rmBR8wLj4+OJiYkp1pxHERGp4Azj/GhfvteA9vWY/6+ehAZW4VSKyfajCUSePUe21WrvaKWSqnDJ4IkTJwCK9YjYNE3uv/9+pk+fzogRI5g5cybjxo0jLCyMvXv3lllC2L17dwB+/fXXQudyj+W2ERGRyqd+NU8WTejM0Pa1MYGomBRGT9/CycQ0e4cmlVC5TAa3b99e5CPWuLi4vJ07brvttsv2YZomDz30EGFhYQwbNozZs2fnzREcO3YsYWFh7Nmzh169enH27NlSjb9Xr17UrVuXuXPnsn379rzjycnJvPzyyzg6Ol52GzsREbn+uTpZeKl/c5rX9MHRweCPI3H0+3Atq/aVzVMrkUuxaW/isjZz5kzCwsLo0aMHwcHBedu//e9//+PcuXMMGjToivv7njhxgoULFzJkyBDmzJmDxWIpcH7cuHFYrVYefPBBVq9ezV133XXZ/sLCwli3bh1wfs5h7rHcx9UDBgxgwIABwPlRy7CwMPr06UPXrl0ZPnw43t7eedvRvfLKKzRs2NCGT0ZERK43gd6ueLs60jLRjR0nU3hw5nru7RLKo7c2xCn/QkeVn5EyUi73Jl63bh1fffUVGzdu5MSJE6SmpuLv70+bNm245557GDZsWLFKwhw6dIg6depc9pFyREREsRKzMWPGXHanksmTJzNlypQCxzZv3szkyZPZsGEDmZmZNGvWjEceeYSRI0de8X5lQXsTi4iUM1npMG80ADmmycHT5zgWnwqAj5sTzWv64OZ0YTBD5WcqrbL+/i6XyaCUDSWDIiLljGnC8hfPl5a54ExyOntOJpGdY+JkcaBpDW+qel1YbTx4lsrPVEJl/f1dLh8Ti4iIVAoXlZ8BqAZkxKfy6Hfb2RmdiHNUNj9Un0H9ap7lc6K/VHg2/Vxt3bq1WO2mT59uS/ciIiKVRxHlZ2pX82fuQzdzd5dGZOLI0bhU/jgcn/cIWaQ02ZQM5u6LeymJiYkMGTKE8ePH2xyYiIhIZebs6MAL/2jKJyPb4mRxICk9iwGfrOfnXSftHZpcZ2xKBuvWrcvTTz/Nrbfemlf3L9fatWtp2bIl8+fPZ9CgQaUSpIiISGXVq3E1OoT64+PmxLn0bB6c8yeTF+8iPUv7zUvpsCkZ/PPPPxk/fjwrVqygZcuWLF68GKvVyvPPP0/Pnj2JjY3lq6++4vvvvy/teEVERCodNycLbYP9eKBzLVzI5NsNBxj2STiHT8WeX5Gc+9KaULFBiVYTL168mPvuu4+4uDiCg4M5cuQIbdu2Ze7cudSvX78045RSoNXEIiIVUL7yMwAx5zLYfSKJrBwrjg4GjWt4E+h9YYWxys9cl8r6+7tEC5PuuOMOnnzySUzT5PDhw1SpUoVFixYpERQRESktji7nk7wLAjxd6Bjqj5+7M9lWk13Riew9lUSO1TxfoibfymSR4rC5tMy5c+d46KGHmDt3LjVq1KBr1658//33tGvXjpkzZ9K7d+/SjFNERKRyKqL8jCvQ0mrlo5UH+WxNJM5nsvky9XNa1PLBw36RSgVl08jg5s2badWqFV9//TX/+Mc/+Ouvv/j222/57rvvSEtL47bbbuPf//43mZmZpR2viIhI5VNE+RlHF3ceve0GwsZ1wcvDnXMZ2WyOimPxjmh7RysVjE1zBp2dnXF0dOSdd97h4YcfLnDu6NGj3H333axbt44bbriB7du3l1asUkKaMygicn06E5fAsc+HEJ+ayYSsSdzRri5T+zfHzdli79CkFJTLOYONGzfmjz/+KJQIAtSpU4fVq1czdepU9uzZU+IARURE5PKqebnSpo4vdQM8cDGyWfzHIe76eCUHo88WXG2sFcdSBJtGBjMyMnBxcbliu02bNtGxY0ebApPSp5FBEZHrVL4Vx3Epmew+kUhGthWLg0Gj6l4E+br93VYrjiuccjkyWJxEEFAiKCIici3kW3Hs7+FMx9AqVPFwJsdqsudkErtPJJJtvTD2oxXHchGbVhMfPXq02G3r1Kljyy1ERESkuC5acewMtDRNvlh7iA9+i8CMgUY4M7fKdDxdbC4kItcpm34iQkJCMIoxvGwYBtnZ2bbcQkRERK5G7orjCxyAB3s1o03dGkz8Zhv7Y5LYnBRHo0AvgjDRQ2LJZVMyeM899xSZDCYmJrJjxw6ioqLo3r07ISEhJY1PRERESqBDqD/LJnXlqe82Y40y2XsyiXe+38FLg9ri5epk7/CkHCjRdnRFMU2Td999l7feeouNGzdSt27d0uxeSkALSEREKi9rZhrHPh/MwbMpPJw5kRpVfPl4RBua1/Sxd2hyBeVyAcnlGIbB448/TrNmzXjiiSdKu3sRERGxgYNhEFzFg7bBftTxtnAyNoFhn4Tz9br9mFlpKkFTiZXZLNJ27doRFhZWVt2LiIiIDXzdnFhW+7/sOZHE2XMZ8Avs/N2FJjW8cbLkGyNSCZpKo9RHBnNFRkZq8YiIiEh5ka/8jJPFgRtq+9CwuhcOhsGZ5Aw2R8WRmJb1d3uVoKk0SnVk0Gq1Eh0dzcyZM1m8eDG9evUqze5FRETEVheVnzGAOkD88QQe/W470QlpOB4yeOrWuow68QqG1htXGjYlgw4ODpctLWOaJr6+vrz99ts2ByYiIiKl7KLyMwAtQwNZOKkXT83/i593n+LVnyNp6ZdI0yBvtNa4crApGezWrVuRyaCDgwN+fn60a9eOsWPHUr169RIHKCIiImXLx82JT+9uw+wNR3j7fzs4ey6DTVFxuB+Np029GvYOT8qYTclgeHh4KYchIiIi9mQYBqM7hdCuphuJsy2kZuZw/1ebmNSnBeO71sXBQY+Nr1dltoBEREREKp5mQT50CPGnurcrFmsW7/30Fw/MXE9cYpLKz1yntEGhiIiIFOBocaB5TW9+dv8v+08nY40y2fOBhWY1vfFzd/67ocrPXBeKlQz27NnTps4Nw2DFihU2XSsiIiJ2cKEEjRETQU0/N7zdnNgVnUhKZjZ/Hk2gboAHIVXcz68dyC0/c9GiFKlYipUM2jpH8HIrjkVERKQcuqgEjRdwQ2Y2U37czY87TsAJ6O7mw8cun+LsqNlm14Ni/S1arVabXjk5OWUdv4iIiJS23BI0F14eHp68NawDLw9qh+HkyurIRDZFxRKXkmnvSKUUKKUXERGRKzIMgyHta/Pjv7pQr6onGdlWth2N56NVB8ixaiFJRaZkUERERIqtYXUv5j90E0E+bpjAxysPMuqrTZxJSrd3aGKjYieDFouFl19+ucCxTZs28Z///KfUgxIREZHyy93JkaZB3jQL8sbH2WRr5EkGfLiCdfuOq/xMBVTs0jKmaWJe9Bf6888/89JLLzFx4sRSD0xERETKtxo+bqxy/Zqd0Ymcy8gm42uIDPAgNMADh9xFpCo/U+7pMbGIiIhcnQvlZwA8XBxpH+JPTd/zj42jYlLYdjSB9KwLi0hzy89IuaWi0yIiInJ1Lio/YwGaAJE7T/LCop2kJuZQPctgQeBMAjxd7BqqXJlGBkVEROTqXVR+BidX/tEmlAUTe1GvRgCnU022H0vgwJlksqxWe0crl6FkUEREREpNaIAHCx7uxMiOdQA4EpvKqK82E52QZufI5FKu6jHxnDlz2LhxY96fDx48CEC/fv2KbG8YBv/73/9KEJ6IiIhUNK5OFl78RzNOn/Zh78kkth2Np9+Ha3l3cEtuaVrd3uHJRQzz4iXCl+DgcPWDiIZhaBeSciQpKQkfHx8SExPx9va2dzgiInI9y0qHeaNJy8xhbNJ4tp1IBWBMpxAe690IZ0u+vMLRRauNL6Osv7+LPTIYFRVV6jcXERGR65ubs4W5Vb7iYM45jsalwhbYvsuJFkE+uDlbzjdS+Rm7KnYyGBwcXJZxiIiIyPUkt/xMTAQOhkHD6l74uTuz52QSSWlZbDocS9Ma3lTzcv27/IyTq72jrpRUWkZERERK30XlZwCqAvUSUvn39zvYcSwB56hs5lebQf3qnljsF2mlp9XEIiIiUjaKKD9Tq6o/Xz/YnTHdG5OJI8fiU9l6OI4jsSn2jrbSUjIoIiIi15STxYFnbmvCF6Pa4WRxICk9m4Gf/s7Sv07YO7RKScmgiIiI2EX3hlXpGOqPr7sTKRnZ/GvuNp5buPPvrezkmlAyKCIiInbj6mShTR0/JnStg4uRyfxNBxn88SoOnYw5X54m/6t41fDkKmkBiYiIiNiVg2EwMfEtRtbNYPeJJDLjrBz5zMA90JtAn3wrjFWCpkxoZFBERETsI7f8zAVVPFzoGOqPn7szOVaTXScS2XMyiRzrhRHB3BI0Uqo0MigiIiL2UUT5GReglWkybdVBpoUfhLPQxHBhjt9XeLoobSkLGhkUERER+ymi/IzF2Y2JfVow496ueHt5sfdMBlsOx3EiIc3e0V6XlAyKiIhIudSpfgDLJnalc/0Acqwme04m8eQPO0jJyLZ3aNcVJYMiIiJSblX1ciHsnnbUq+qJASzefoL+H69j36kke4d23VAyKCIiIuWag2EQGuBBm2A/ano5cPxsPIM/XsV3Gw5gZqWp/EwJaSamiIiIVAh+7s78XHsOu08kEZuSActg1zpXmgR64Wi5ML6l8jNXTSODIiIiUr7lK0Hj7OhAq9o+1K/miWEYnE5KZ/PhOJLSs863VfmZq6aRQRERESnfLipBYwAhQNzReP793XZOJqXjEWnlx6CZ1PRzQ2OCV0cjgyIiIlL+FVGCpk29Giyc1IuuTWqRkuPAvlPJ7IpOJCkjy97RVihKBkVERKTC8vNw5st72vF038Y4GAankzIYOG09fx1PsHdoFYaSQREREanQDMNgbOdQ2gb74eZk4Ux8MsM/DWfW6n2FVxtrxXEhmjMoIiIi1wUfNyc6hPrz9ckwziRnwG/w1yYXmtbwxsmSb/xLK44L0MigiIiIVHwXVhw7WRxoUcuHRtW9cDAMziZnsCkqjsS0fPMIteK4AI0MioiISMWXb8WxAdQGkk4k8sh32zkal4ol0uCJW0IYc/I1DI0IFqCRQREREbk+XLTiuFlwdRZM7MmtNwSTanXijV+j2HE8kcwcq70jLVeUDIqIiMh1y8vViY+Gt+bVgc1xcnQg5lwGm6Pi+ONIvL1DKzeUDFZQR48eZciQIfj5+eHh4UH79u2Jjo62d1giIiLljmEYjOwYzLz7b8LD2ZH0rBxGTd/EtFUHsVq1slhzBiug2NhYunTpQt++ffntt9/w9fVl9+7duLi42Ds0ERGRcqtJDW+yQ/3ZdzIJx9gs/vPLTrZGnuStu24gwOOi71BHl0qz2ljJYAX05ptvEhoayhdffJF3rF69enaMSEREpGJwdDBoVtObXzz+y/7TyeQcMdn7oQPNgnzw93D+u2ElKj9TLh8TR0dH88EHH9C7d2/q1KmDs7MzgYGBDBo0iE2bNtklpjlz5vDAAw/Qrl07XFxcMAyDmTNnXvaaLVu20K9fv7xHuR06dGDu3LkljmXJkiW0adOGQYMGUa1aNdq3b8+CBQtK3K+IiMh17UL5GQODIF832of44+HiSEa2lW1H4zl0NgUztyB1JSo/Uy5HBj/66CPefPNN6tWrx6233kq1atU4cOAAixYtYtGiRXzzzTcMGTLkmsb0/PPPc+TIEQICAqhRowZHjhy5bPvw8HD69OmDs7Mzw4YNw8fHhwULFjBy5EgOHz7Ms88+a3MsUVFRfPLJJzz11FM8//zzrFixgsGDB7Nq1Sq6detmc78iIiLXtXzlZwA8gZZZ2by0ZA8Lt0XDSeji6s0nbp/i4mixb6zXklkO/fDDD+aaNWsKHV+zZo3p5ORk+vv7m+np6VfsZ/bs2ebhw4cveT4zM9N85513zKysrCv2tXz58ry+Xn/9dRMwZ8yYUWTbrKwss169eqaLi4v5559/5h1PSkoymzVrZjo6OpoREREFrnnuuedM4LKvXE5OTmbnzp0LXN+/f39z5MiRl30PiYmJJmAmJiZe8f2KiIhUJvP/OGY2fv4ns+FTC8zVU3qYsV8MMM3MNHuHZZpm2X9/l8vHxHfeeSddu3YtdLxr16706NGDuLg4du7cedk+jh8/zvjx4+nRowfHjh0rdD47O5thw4bx+OOPM2vWrCvGdMsttxAcHFys+FeuXElkZCQjRoygdevWece9vLx44YUXyM7OZsaMGQWuefzxx4mKirrsK1dgYCCNGzcucH2TJk04evRoseITERGRgga1rcWS/+tCw+peZF54bPzBigiyK0FNwnL5mPhynJycAHB0vHzotWrVYu7cuQwdOpQePXoQHh5OrVq1gPOJ4PDhw1mwYAHjx49n3LhxpRpjeHg4AL179y50LvfY6tWrCxz39fXF19e3WP136tSJAwcOFDgWERFR7GRVRERECqtfzZN5D95E1CduRCek8Wl4JL8fSeE/w1oT6ONq7/DKTLkcGbyUo0eP8ttvvxEYGEiLFi2u2P7OO+9k7ty5HD58mB49ehAdHU12djYjRoxg/vz5jB07ls8//7zUt6XJTdQaNGhQ6Jyfnx8BAQGFkrmr8eijj7J+/XrefvttDh48yGeffcaSJUt48MEHbe5TREREwNXRQpMa3jQP8sHX2WRH1CkGfLiCNXuOQVZ6wZd5fdQorDAjg1lZWYwaNYqMjAzeeustLJbiTewcPHgw2dnZjBo1ip49e9K8eXMWLFjA6NGjCQsLK5P9CRMTEwHw8fEp8ry3tzfHjx+3uf+OHTsyb948nnvuOV588UUaNmzIvHnz6Ny5c5Htp02bxrRp08jJybH5niIiIpVJoI8rq9y+Zmd0Isnp2WR+AwereFC3qgcOubnDdVJ+pkIkg1arlXHjxrFmzRrGjx/PqFGjrur64cOHk5GRwdixY4mIiGDIkCFMnz4dB4cKNTBawMCBAxk4cGCx2k6YMIEJEyaQlJR0yQRVREREyCs/Q0wE7s6OtAv25+CZcxyLT+VwbAoJqZk0r+mDq5Pl7/IzThX7EXK5TwZN02T8+PHMmTOHu+++m88+++yq+7BarXnz+AB27tzJ2bNnqV69eilG+rfchCt3hPBiSspERETKqYvKz1iARkDU7lM8t3An55KyqZoFCwNnUdXr+tj5q1wPjVmtVu69916mT5/O8OHDmTlz5lWP5uUmk7NmzWLUqFF89dVX7N+/n549e3LmzJkyiTt3rmBR8wLj4+OJiYkpcj6hiIiIlAOGcX60L9+rb6sQFk7sRaNaVTmbBjuOJxBxOpnM62C1cblNBq1WK/fddx8zZsxg6NCh/Pe//y32PMFcpmly//33M336dEaMGMHMmTMZN24cYWFh7N27t8wSwu7duwPw66+/FjqXeyy3jYiIiFQMdaq4M+/Bm7jnphAAjsalMiJsE8fiUu0bWAmVy2Qwd0RwxowZDB48mDlz5tiUCD700EOEhYUxbNgwZs+enTeqOHbsWMLCwtizZw+9evXi7NmzpRp/r169qFu3LnPnzmX79u15x5OTk3n55ZdxdHRkzJgxpXpPERERKXsujhae69eElrV8cbIY7DyeQL//rOXnXafsHZrNyuWcwZdeeomZM2fi6elJw4YNeeWVVwq1GTBgAK1atbpkHydOnGDhwoUMGTKkyGRy3LhxWK1WHnzwQVavXs1dd9112ZjCwsJYt24dQF7B67CwsLy5iAMGDGDAgAHA+RqIYWFh9OnTh65duzJ8+HC8vb1ZsGABUVFRvPLKKzRs2LCYn4aIiIiUN1W9XOjgWoV2yR78cTyFSXM2MOrGYJ7o2wgXF/cKtcLYMM3yVyRnzJgxV9wVZMaMGVccXTt06BB16tS5bIHqiIiIYiVmV4pp8uTJTJkypcCxzZs3M3nyZDZs2EBmZibNmjXjkUceYeTIkVe8X1nIXbiSmJiIt7e3XWIQERGp8LLSYd5oAKymSeTZcxyJPf+o2NvVkeCH5lPd37fUblfW39/lMhmUsqFkUEREpBSYJix/8XxpmQtizmWw+0QSrk4OtPz3YlzdPErtdmX9/V0uHxOLiIiIlFsXlZ8BCAAaJKaRnWPi6upuv9hsoGRQRERE5Grllp/JJyigYhafLperiUVERETk2lAyKCIiIlKJKRkUERERqcSUDIqIiIhUYkoGRURERCoxJYMiIiIilZiSQREREZFKTMmgiIiISCWmZFBERESkElMyKCIiIlKJKRkUERERqcSUDIqIiIhUYkoGRURERCoxR3sHINeOaZoAJCUl2TkSERERKa7c7+3c7/HSpmSwEklOTgagdu3ado5ERERErlZycjI+Pj6l3q9hllWaKeWO1WrlxIkTeHl5YRhGqfadlJRE7dq1OXbsGN7e3qXat4jIxdq3b8+WLVvsHYZIIWXxs2maJsnJyQQFBeHgUPoz/DQyWIk4ODhQq1atMr2Ht7e3kkERKXMWi0X/1ki5VFY/m2UxIphLC0hERKTCmTBhgr1DEClSRfzZ1GNiKRVJSUn4+PiQmJio39ZFREQqEI0MSqlwcXFh8uTJuLi42DsUERERuQoaGRQRERGpxDQyKCIiIlKJKRkUEREphvfff5/atWvj5uZGz549iYiIsHdIIqXyc6lkUERE5Armzp3Ls88+y5tvvsmWLVvw8/Ojb9++ZGRk2Ds0qcRK6+dScwblmnv//fd57733iImJ4aabbuKzzz6jYcOG9g5LROSS2rdvT7du3Xj33XeB8ztBVKtWjVmzZjFkyBA7RyeVVWn9XGpkUK4p/XYtUvFFR0fzwQcf0Lt3b+rUqYOzszOBgYEMGjSITZs22SWmOXPm8MADD9CuXTtcXFwwDIOZM2de9potW7bQr18//Pz88PDwoEOHDsydO7dQu8zMTLZt20bPnj3zjnl5edGxY0c2btxY2m9FbJSQkMDEiRO56aabCAwMxMXFhZo1a9KzZ09++OGHMtvX93Iqys+ldiCRa+r999/n4YcfZsSIEQDMnDmTatWqsXjxYv12LVJBfPTRR7z55pvUq1ePW2+9lWrVqnHgwAEW/X97dx4c8/3/Afz5yW5EkEOEJNqSEscIIyKuKhHXijoyKSGXXNbVDlKGTh0bX4ZRhpkeWqzsCnEUcZYWIyREw1BBFaEScTWJKyiRzb5/f/SXrbUrhxzIPh8z+4fX+/15f16f7aeb1/tz7tiBHTt2YOPGjTX+//Ps2bORnZ0NZ2dnuLm5ITs7u9T+hw8fhkKhQJ06dTB69Gg4ODggKSkJoaGhyMrKwldffWXom5+fj+LiYjRp0sRojCZNmuDvv/+ulu2hisvPz0d8fDy6d++OgIAAODk5ITc3F7t378aIESOgVCqxatWqGs3pndkvBdFL1q1bJ8aNGyc6d+4s6tSpIwAIjUZT6jInTpwQ/v7+wtHRUdSrV0906dJFJCYmGvUpLCwUMplM7Nmzxyju6+srYmNjq3oziKiabNu2TaSkpJjEU1JShLW1tXBychLPnj0rc5yEhASRlZX1yvbnz5+LpUuXiqKiojLHOnDggGGsRYsWlfq7VVRUJFq2bClsbGzE6dOnDfGCggLh6ekp5HK5uHz5siF+8+ZNAUCcOHHCaJyRI0eKkJCQMnOjmqHT6czuKwUFBaJdu3YCgDh//nyZ41jifsnTxGRi9uzZWLVqFbKzs+Hm5lZm/8OHD+Pjjz9GamoqRowYgYkTJyI/Px+hoaFYuHChoR9n10S1Q2BgIHr16mUS79WrF/z8/HDv3j2cO3eu1DFu3LgBpVIJPz8/5OTkmLTrdDqMHj0a06dPx9q1a8vMqX///mjevHm58j906BCuXr2KkJAQdOrUyRC3s7PDnDlzoNPpoNFoDHFnZ2fIZDLk5uYajZObmwsXF5dyrZOqn0wmg1xuesLTzs4OCoUCAHDlypVSx7DU/ZLFIJlQq9XIyspCXl4eJkyYUGpfnU6HsWPHQpIkpKSkYPXq1Vi6dCkyMjLg6ekJlUqFzMzMGsqciN40a2trADD7R/lF77//PjZs2ICcnBz4+fnhxo0bhjadTofg4GAkJSVBqVQiOjq6SnM8fPgwAGDgwIEmbSWxI0eOGGJ16tRBp06dkJycbIg9fvwY6enp6N69e5XmRlXv2bNnOHToECRJQrt27Urta6n7JYtBMlFdMxnOrolqt+vXr+PgwYNwdXVFhw4dyuwfGBiIDRs2ICsrC35+frh58yZ0Oh1CQkKwdetWREVFYeXKlZAkqUrzLJmgtmrVyqStYcOGcHZ2NpnETp06FStWrMCmTZtw/vx5REVFwc3NDcOGDavS3KjyHjx4gLi4OMydOxcTJkxA69atkZGRgblz55r9b/4yS9wveQMJVUpFZjIvzmI++eQTAP/NYiZNmlQzCRNRtSgqKkJ4eDgKCwvx9ddfQyaTlWu5kSNHQqfTITw8HH379kX79u2RlJSEiIgIqNXqKv+DCwAPHz4EADg4OJhtt7e3NzoiBAChoaHIzc3F9OnTDY/F2rdvH+rWrVvl+VHlPHjwAPPmzTP829raGkuWLMG0adPKPYal7ZcsBqlSKjqTmTp1KpRKJXx8fNC+fXvMmzePs2uid5xer0d0dDRSUlKgVCoRHh5eoeWDg4NRWFiIqKgoXL58GUFBQYiPj4eV1dt18io2NhaxsbFvOg0qg7u7O4QQKC4uRk5ODjZt2oRZs2YhLS0NP/30U5mXMJSwpP2SxSBVSkVnMpxdE9UuQggolUqsX78eYWFh+PHHHys8hl6vN5xlAIBz584hLy+v2i4fKfm9Kvn9ellBQcErf9Po3SGTyeDu7o4vv/wSMpkMM2bMwOrVqzFx4sRyLW9J++XbVd6SRYiNjcWNGzfw7NkzJCcno02bNm86JSJ6DXq9HjExMYiPj0dwcDC0Wm2Fj5qUFJNr165FeHg41qxZg0uXLqFv374m1xdXlZIzGeZubrt//z7y8/PLdW0ZvTtKLlt6sbgrjaXtlywGqVI4wyayTHq9HmPHjoVGo8GoUaOwbt26cl8nWEIIgXHjxiE+Ph4hISHQarWIjo6GWq3Gn3/+WW1/eH19fQEA+/fvN2kriZX0odrh1q1bAMq+yx2wzP2SxSBVCmfYRJan5IigRqPByJEjsX79+tcqBCdOnAi1Wo3Ro0cjISHBcFQxKioKarUaFy5cQL9+/ZCXl1el+ffr1w8tWrTAhg0bcObMGUP80aNHmD9/PuRyOSIjI6t0nVT9zpw5Y/bAxL179wxv7vD39y91DEvdL3nNIFWKr68vFi1ahP3792P06NFGbZxhE9VO//vf/6DVatGgQQO0bt0aCxYsMOkTEBAALy+vV45x69YtbN++HUFBQWaLyejoaOj1ekyYMAFHjhzBiBEjSs1JrVbj6NGjAGB44LVarTacFgwICEBAQACAf48OqdVqKBQK9OrVC8HBwbC3t0dSUhKuXbuGBQsWoHXr1uX8NuhtodVqoVar4efnh+bNm6N+/frIzs7Gzz//jMePH+PTTz81vAr1VSx2v6zQ+0rI4pTn9TktWrQQNjY24vfffzfEX3x9zqVLl2omWSKqEREREQJAqZ+yXmEphBBXr14t85Ve5f39KCsnlUplskx6eroYNGiQcHBwELa2tsLHx0esX7++XOujt09qaqqIjIwUbdu2Ffb29kIul4smTZqIQYMGiQ0bNgi9Xl+ucSxxv5SEEKJ6ykx6V708kzl9+jR69uwJDw8PAMYzGQBITk6GQqGAjY2N2ZnMrFmz3sRmEBERUTmwGCQTkZGRpb5zUaVSIS4uzih24sQJqFQqHD9+HM+fP4enpyemTp2K0NDQas6WiIiIKoPFIBEREZEF493ERERERBaMxSARERGRBWMxSERERGTBWAwSERERWTAWg0REREQWjMUgERERkQVjMUhERERkwVgMEhEREVkwFoNEREREFozFIBGRBcvKyoIkSYaPq6urUXtcXBwkScLhw4ffTIIvCQsLM8pXq9W+6ZSI3nksBomoVnq5yDH38fLyetNpvjU6duwIlUqF6dOnV/u6Vq5cCUmSMGHChDL7du7cGZIk4fTp0wCAwMBAqFQqDB8+vLrTJLIY8jedABFRdWrZsiXCwsLMtr18FMySeXl5IS4urkbWFRwcjC+++AKbNm3C8uXLYWtra7bf2bNncfr0aXh5ecHb2xvAv8VgYGAgtFotdu7cWSP5EtV2LAaJqFbz8PCosSKHysfe3h4jRoxAQkICkpKSEBoaarbfmjVrAAAxMTE1mR6RxeFpYiKi/ydJEvr06YO8vDxER0ejSZMmsLW1Rffu3V95zdyjR4+gUqng6ekJW1tbODo6YtCgQTh69KhJ3z59+kCSJBQWFmLu3Lnw8PCAtbW1UbGalJQEHx8f2NrawsXFBUqlEvfv34e7uzvc3d0N/SIiIiBJEk6ePGk2rxkzZkCSJGzfvr0yX8krnT17Fk2bNoWzszPS09MN8WvXrmHs2LFo1qwZbGxs4ObmhsjISGRnZxstX1LgaTQas+M/f/4ciYmJsLGxeWWxSERVg0cGiYhe8ODBA/Ts2RP29vYIDQ1Fbm4uNm/eDIVCgVOnTqF9+/aGvvfu3UPv3r3xxx9/oFevXlAoFHj48CF27twJPz8/bNmyBQEBASbrCAwMREZGBhQKBZycnNCiRQsAQHx8PGJiYuDo6IgxY8bAwcEBe/fuxYABA1BUVARra2vDGOPHj0dCQgJWr16NLl26GI1fVFSEhIQEuLq6YujQoVX+HaWmpmLo0KGwt7fHoUOH0LZtWwBAeno6FAoFnjx5gqFDh8LDwwNZWVlITEzEvn37cPz4ccO29u7dG61atcKhQ4eQlZVlVOgCwK5du3D37l0EBwejYcOGVb4NRPQCQURUC127dk0AEC1bthQqlcrsZ9++fUbLABAAxKRJk0RxcbEhrlarBQAxfvx4o/4hISECgIiPjzeK37lzR3zwwQeicePG4unTp4a4r6+vACC8vLzE3bt3jZa5f/++aNCggbCzsxNXr141xIuKikT//v0FANG8eXOjZdq3by/s7OzE48ePjeJJSUkCgJg5c2a5v6eIiAiz7SqVSgAQycnJQgghduzYIerWrSvatWsncnJyDP2eP38u3N3dhZ2dnThz5ozRGKmpqUImk4khQ4YYxRctWiQAiLi4OJP1+vv7CwDi4MGDZvPSaDQCgNBoNGVuIxGVjsUgEdVKJUVOaZ8pU6YYLQNA1K9fXzx69MgoXlRUJORyufD29jbE8vLyhEwmE/369TO7/m+++UYAELt37zbESorBnTt3mvTXarUCgIiNjTVpO378uNlisGQda9asMYoPHjxYSJIkMjMzzeb2oooUg2q1WshkMtGjRw+TYrakAJ0/f77ZcQIDA4WVlZV4+PChIXbr1i0hk8mEu7u70Ov1hvjNmzfNxl/EYpCo6vA0MRHVagqFAr/88ku5+7dq1QoNGjQwisnlcri4uODBgweG2MmTJ1FcXIxnz56ZvUElMzMTAHDx4kUMGTLEqK1r164m/TMyMgAAH330kUlb165dIZeb/lyHh4dj5syZUKvViI6OBgDcvHkTv/76K3x9feHh4VH6xlbA8uXLsWvXLgwePBhbtmxBvXr1jNp/++03AP9ur7nv486dO9Dr9bh8+TJ8fHwAAG5ubvD398eePXuQnJyMvn37AgC0Wi2Ki4sRFRUFSZKqbBuIyDwWg0REL3BwcDAbl8vlKC4uNvz73r17AIBjx47h2LFjrxzvyZMnJjEXFxeTWEFBAQCgcePGJm1WVlZwdnY2iTs6OiIoKAhr167FhQsX0K5dO2g0GhQXF0OpVL4yp9eRmpoKABg0aJBJIQj8930kJiaWOs7L30dMTAz27NkDjUZjVAxaWVkhMjKyCjInorLwbmIiotdgb28PAJg2bRrEv5fcmP2oVCqTZc0d7SoZLy8vz6RNr9cjPz/fbB7jx48HAKjVagghoNFo4OTkhMDAwNfeNnPWrFkDb29vTJkyBStWrDBpL8l/9+7dpX4fvr6+RssNGTIELi4u2LZtGwoKCpCamorMzEwMGDAAzZo1q9JtICLzWAwSEb2GLl26QJIkHD9+vErG69ixIwAgLS3NpO3EiRPQ6XRml+vRowc6dOiAdevWYd++ffjrr78QFhaGunXrVkleJRo2bIiDBw/C29sbn332Gb7//nuj9m7dugFAhb8PuVyOMWPG4OnTp9i0aRPi4+MB8NmCRDWJxSAR0WtwdXVFUFAQ0tLSsGTJEgghTPqkp6fjn3/+Kdd4w4cPR4MGDaBWq3Ht2jVDXKfTYc6cOaUuO27cOOTn5xtODY8dO7YCW1J+JQWhj48PPv/8c3z77bdG+Tdr1gzLli1DSkqKybJFRUVmn70I/Ff4rVixAlu2bEGjRo34ujmiGsRrBomoVrty5UqpbyCpzNtJVqxYgUuXLmHGjBlYt24devToAQcHB+Tk5ODUqVPIzMzE7du3zV5j9zJHR0csW7YM48aNg7e3N0aNGmV4zqCNjQ2aNm0KKyvz8/eSG0lu3bqFbt26oUOHDq+9TeXJ88CBAxg4cCAmT54MIQQmT54MGxsbbN26Ff7+/vD19UW/fv0Mz2S8fv06UlNT0ahRI1y8eNFkzDZt2qBnz56Gay+VSiXq1KlTbdtARMZYDBJRrXb16lXMmzfvle2VKQadnJyQlpaG7777Dps3b0ZiYiL0ej1cXV3RsWNHzJkzx+yNH6+iVCrRsGFDLFy4EFqtFg4ODhg2bBgWL16M5s2bo2XLlmaXc3BwwPDhw7Fx48Yqv3HEnBcLwilTpkAIgSlTpqBLly7IyMjAkiVLsHfvXhw9ehQ2NjZ47733EBAQgODg4FeOGRMTYygGS+6MJqKaIQlz5zaIiOitceXKFbRq1QpBQUHYvHmz2T6enp64fv06bt++bfJonNJkZWXhww8/REREBLRabRVlXP20Wi2ioqKg0Wh41zFRJfGaQSKit8T9+/dRWFhoFHv69CliY2MBwOyr7QBg7969uHDhAsLDwytUCL5o7dq1kCQJrq6ur7V8TQkLC4MkSYiKinrTqRDVGjxNTET0ljhy5AhiYmIwcOBANGvWDPn5+YZ39/bt2xejRo0y6v/DDz8gJycHq1evhq2tLWbMmFHhdTo6Oho9/uZ1i8maEhgYaPQwbS8vrzeXDFEtwdPERERviczMTMyZMwdpaWmG5w16eHhg1KhRmD59usnjYtzd3XHjxg20adMGixcvNnnTCRFRebAYJCIiIrJgvGaQiIiIyIKxGCQiIiKyYCwGiYiIiCwYi0EiIiIiC8ZikIiIiMiCsRgkIiIismAsBomIiIgsGItBIiIiIgvGYpCIiIjIgv0flctFOuYiyOsAAAAASUVORK5CYII=", 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Integrate the model\n", "energies = np.logspace(0.0, np.log10(3.0), 50)\n", "PulsedPowerLaw.integrate(energies=energies, threads=1)\n", "print( PulsedPowerLaw.signal[0].shape ) # To be X-PSI compliant, the signal is a tuple containing a single 2D array with shape (number of energies, number of phases)\n", "\n", "# Plot the signal\n", "plotSignal( energies, PulsedPowerLaw, title='Pulsed Powerlaw' ) # The signal depends on phase now, so we see a pulse" ] }, { "cell_type": "markdown", "id": "485e2808", "metadata": {}, "source": [ "This time, we retrieve the same power law spectrum because the pulsed component is sinusoidal it averages to 0 over [0;1]. However, we can see clear modulation with a defined pulse when integrating over the energies.\n", "\n", "Note that the powerlaw is shifted by 0.2 phases as required. This is different from hot spots, for which the phase shift is not applied during integration, but rather when the signals from all components are added up in the call of the likelihood. Emission models have been implemented this way for simplicity of writting and testing custom emission models.\n", "\n", "If you wish to write your own, any other emission model can be built from the base `EmissionModel` class. It requires a `phase_shift` parameter and the definition of an `integrate` method, which computes the flux from the model in [photon/cm^2/s]. If needed, a `embed` method can be created to embed the emission model into the ambiant spacetime, which is relevant to precompute cells at the surface of an oblate neutron star for instance. The base `EmissionModel` class comes with helper function to properly build a signal that can be used by X-PSI. \n", "\n", "Here is an example of a Gaussian." ] }, { "cell_type": "code", "execution_count": 8, "id": "d6d90bb5", "metadata": {}, "outputs": [], "source": [ "from xpsi import Parameter, EmissionModel \n", "class GaussianModel( EmissionModel ):\n", "\n", " \"\"\" Simple Gaussian line emission model.\"\"\"\n", "\n", " required_names = ['norm',\n", " 'E0',\n", " 'sigma',\n", " 'phase_shift']\n", " \n", " def __init__(self, \n", " bounds,\n", " values,\n", " **kwargs):\n", "\n", " # Initiate the necessary parameters\n", " norm = Parameter('norm',\n", " strict_bounds = (0.0, np.infty),\n", " bounds = bounds.get('norm', None),\n", " doc = \"Flux of the Gaussian @E0 keV in [photon/cm^2/s/keV]\",\n", " symbol = 'norm',\n", " value = values.get('norm', None))\n", " \n", " E0 = Parameter('E0',\n", " strict_bounds = (0.0, np.infty),\n", " bounds = bounds.get('E0', None),\n", " doc = \"Energy center of the Gaussian in [keV]\",\n", " symbol = r'$E_0$',\n", " value = values.get('E0', None))\n", " \n", " sigma = Parameter('sigma',\n", " strict_bounds = (1e-10, np.infty),\n", " bounds = bounds.get('sigma', None),\n", " doc = \"Energy width of the Gaussian in [keV]\",\n", " symbol = r'$\\sigma$',\n", " value = values.get('sigma', None))\n", " \n", " # Define a fixed phase shift\n", " phase_shift = Parameter('phase_shift',\n", " strict_bounds = (0. , 1.),\n", " bounds = None,\n", " doc = \"Phase shift of the Gaussian\",\n", " symbol = r'$\\phi_0$',\n", " value = 0.)\n", " \n", " # Set the value of num_leaves\n", " self._num_leaves = 5 # Default to 5 so that energy integrator works\n", " self._phases = np.linspace(0.0, 1.0, int(self._num_leaves))\n", "\n", " # Initiate the parent class\n", " super(GaussianModel, self).__init__( norm, E0, sigma, phase_shift, **kwargs ) # prefix in kwargs\n", "\n", " # The integrate method is needed by X-PSI to compute the signal\n", " # Also, the helper function from the base class is present here to build the signal properly\n", " def integrate(self, energies, threads, *args, **kwargs):\n", " \n", " # Compute the Gaussian\n", " gaussian = self['norm'] * np.exp( -0.5 * np.power( (energies - self['E0']) / self['sigma'], 2.0 ) )\n", " self.signal = self.buildPhaseIndependentSignal( gaussian ) # Helper function to build the signal in a phase independent way" ] }, { "cell_type": "markdown", "id": "87cff3d5", "metadata": {}, "source": [ "Now the Gaussian model can be instanciated easily, as it was the case for the PowerLaw." ] }, { "cell_type": "code", "execution_count": 9, "id": "dc828d6d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Creating parameter:\n", " > Named \"norm\" with fixed value 1.000e-05.\n", " > Flux of the Gaussian @E0 keV in [photon/cm^2/s/keV].\n", "Creating parameter:\n", " > Named \"E0\" with fixed value 2.000e+00.\n", " > Energy center of the Gaussian in [keV].\n", "Creating parameter:\n", " > Named \"sigma\" with fixed value 1.500e-01.\n", " > Energy width of the Gaussian in [keV].\n", "Creating parameter:\n", " > Named \"phase_shift\" with fixed value 0.000e+00.\n", " > Phase shift of the Gaussian.\n" ] } ], "source": [ "bounds = {}\n", "values = {'norm':1e-5, \n", " 'E0':2.0,\n", " 'sigma':0.15,\n", " }\n", "Gaussian = GaussianModel(bounds=bounds,\n", " values=values)" ] }, { "cell_type": "code", "execution_count": 10, "id": "3d3d2084", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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", 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Ro1i1ahV+//135ObmwsHBAZMnT9b6vlRERESVAZMoIiIiIhG4JoqIiIhIBCZRRERERCJwn6hylJ+fjydPnsDCwkL58lMiIiLSbYIgID09HXXr1i30PZ0FmESVoydPnqBBgwYVHQYRERGJkJCQgPr16xd5nElUObKwsADw+j9CUbshExERkW5JS0tDgwYNlPfxojCJKkcFU3iWlpZMooiIiPRMSUtxuLCciIiISAQmUUREREQiMIkiIiIiEoFJFBEREZEITKKIiIiIRGASRURERCSCzm1xkJqaigULFiAiIgJxcXF48eIFbG1t0bx5c3z22Wf48MMPNd79+9GjR1i0aBF+/fVXPH36FLa2tvDy8sLChQsL3QRTJpMhPj6+0LYmT56MDRs2lGlsRET6LicnB3l5eRUdBlGpGBoawtjYWOvtSgRBELTeahnExMSgffv2cHZ2hr29PWxsbJCYmIijR48iMTERvr6+2LRpU4ntxMbG4r333kNiYiJ69uyJdu3a4d69ezhy5Ahq1KiBy5cvo0mTJirnyGQypKamYvr06WrtderUCf379y/VWNLS0mBlZQW5XM59oohIr6WlpSE5ORkKhaKiQyESRSqVwtbWVqP7sab3b51LovLy8iAIAoyMVB+Spaenw9nZGdHR0YiKioKDg0Ox7fTv3x8hISFYu3Ytpk2bpiz/+eefMXToUHh5eeHEiRMq58hkMgDAgwcPtDIWJlFEVBmkpaXh8ePHqFq1KqysrGBsbMz3gZLeEAQBOTk5kMvlyMjIQL169Uq8J2t6/9a56TxDQ8NCyy0sLODl5YXo6GjExMQUm0RlZWXh5MmTqFWrFqZOnapybMiQIWjfvj1OnjyJ+/fvo3HjxlqNn4iosklOTkbVqlVRv359Jk+kl8zMzGBhYYFHjx4hOTlZaw82dC6JKkpWVhZCQ0MhkUjQqlWrYus+f/4cubm5sLOzK/QvfKNGjRAZGYlz586pJVEKhQI7duzA48ePYW1tjffeew/t2rXT6liIiPRFTk4OFAoFbG1tmUCRXpNIJLCyssLjx4+Rk5OjlTVSOptEpaamYs2aNcjPz0diYiKOHz+OhIQE+Pv7o2nTpsWea21tDUNDQ8THx0MQBLW/+HFxcQCAu3fvqp379OlTjBs3TqWsd+/e2LVrF2xtbYvtV6FQqKwXSEtLK7Y+EZGuK1hEXh6LconetoLf47y8PK38TuvsFgepqakIDAzEokWLsHHjRjx9+hSrVq2Cv79/iedWqVIFrq6uePbsGX788UeVY7/88gsiIyOVfbxpwoQJCAsLQ1JSEtLS0nD16lX06dMHJ06cwMCBA1HS8rFly5bByspK+SnsG4BERPqIT6GoMtD277HOLSz/t7y8PCQkJGDv3r3w9/dHv379EBwcrLbw/N9u3boFFxcXZGRkwMvLC23btkVMTAwOHz6M1q1b448//sCUKVPUkqx/y8/Ph6urK8LDw3Hs2DH069evyLqFPYlq0KABF5YTkd7KyspCXFwcGjVqBFNT04oOh6hMNP191nRhuc4+iSpgaGgImUyGr7/+GosXL8bBgwexefPmEs9r164dIiIiMHToUNy8eRNr167F33//jY0bN+Kjjz4CANSoUaPEdgwMDDB+/HgAwKVLl4qtK5VKYWlpqfIhIiKiyknnk6g39erVCwAQFhamUf0WLVpg3759SExMhEKhwF9//YVJkyYhKioKwOu9nzRRsBbq1atXpQ+aiIjeOTKZTLltDlVeepVEPXnyBABKnMorTnp6Oo4ePQobGxv07NlTo3OuXbsGAPwLQUT0jnnw4AEkEonax9zcHG3btkVgYCAyMjIqOswKU3B9/v2FrHeFzn07LzIyEo0aNYKVlZVKeUpKCubOnQsA6NOnj7I8OTkZycnJsLW1Vfn2XGZmJoyNjVUSLoVCgYkTJyIlJQVr165VmQ+Njo5G3bp1Ua1aNZV+w8PDsXr1akilUnz44YfaHCoREemJJk2aYPTo0QBeb96YlJSEX3/9FQEBATh58iQuXryoss/h2bNnKypUeot0LokKCgrCli1b4O7uDjs7O5ibmyM+Ph4hISHIyMiAt7c3Ro4cqay/fv16BAYGwt/fHwEBAcryGzdu4MMPP0TPnj3RoEEDpKWlISQkBA8fPoSvr6/aJpzBwcFYuXIlPD09IZPJIJVKERUVhVOnTsHAwAAbNmxAw4YN39ZlICIiHWJvb69yjwFe/8O8a9euuHLlCi5cuAB3d3flsX+/VowqJ52bzvPx8cGQIUMQExODXbt2YfXq1Th37hxcXFywe/du/PzzzzAwKDnshg0bws3NDRcvXsR//vMf7NmzB/b29ti/fz82bdqk9jVHd3d3DBgwAHfu3MGOHTvw/fff46+//sKwYcNw+fJlTJo0qbyGTEREekgqlSoTp6SkJJVjha2JCggIgEQiQVhYGIKDg9GxY0eYmZmhTp06mDZtGjIzM0vV/x9//IHRo0ejfv36kEqlqFOnDnr37o2jR4+q1T18+DA8PT1hbW0NU1NTtG7dGt9++63ay6SDgoIgkUgQFBSEs2fPwsXFBebm5qhevTrGjh2L58+fq9Rt1KgRAGDHjh0q051vrl0WBAHbtm1Dt27dYGlpiSpVqqBTp07Ytm2bWpxvXqMdO3bA0dERVapUgZubG4DX35jfsmULnJycYGNjgypVqkAmk2Hw4MG4cOFCqa6fNujckygXFxe4uLhoXD8gIEDtXwfA6yQqODhY43ZcXV3h6uqqcX0iInq3ZWdnIywsDBKJBO3bt9f4vB9++AG//vorBg0aBDc3N5w4cQLr1q3D8+fP8X//938atXHw4EGMGDEC+fn5GDBgAJo3b47ExERcu3YNW7duxYABA5R1586di2XLlqF+/frw9vaGpaUlLly4gNmzZ+PatWv4+eef1do/evQojh07hgEDBmDKlCm4cOECdu7cidjYWISHhwMA2rdvjy+++AJr165Fu3btMHjwYOX5BQmkIAgYPXo0du/ejWbNmmHkyJEwMTHB6dOnMXHiRERHR+Pbb79V63/VqlU4d+4cBg4ciJ49eyqX5syZMwcrV65EkyZNMHLkSFhYWODx48e4ePEiQkND8f7772v6n0E7BCo3crlcACDI5fKKDoWISJTMzEwhOjpayMzMVDuWn58vvFTk6PwnPz9f9Pjj4uIEAEKTJk0Ef39/wd/fX1iwYIHw6aefCk2aNBFMTU2FVatWqZ1nZ2cn2NnZqZT5+/sLAAQrKyvhzp07yvJXr14JzZo1EyQSifD48eMSY3r27JlQtWpVwdzcXLh586ba8YSEBOWfT506JQAQ+vTpI7x8+VJZnp+fL3zyyScCAGH//v3K8u3btwsABCMjIyE8PFxZnpubK7i5uQkAhCtXrqhdn7FjxxYa66ZNmwQAwsSJE4WcnBxluUKhEAYMGCAAEK5fv652jczNzYU//vhDrT0bGxuhXr16KmMpGM/z588LjeFNxf0+v0nT+7fOPYkiIiL9kJmTh1YLTlZ0GCWKXuiFKiZlu93FxsYiMDBQrXzgwIHFbsJcmC+++ALNmzdX/mxmZoYRI0YgMDAQN27cQN26dYs9f8eOHcjIyMCCBQvQoUMHteP169dX/nn9+vUAgI0bN6JKlSrKcolEguXLl2Pjxo3Ys2cPvL29VdoYOXIkunXrpvzZ0NAQY8eORVhYGCIiIuDs7KzRWNevXw9zc3OsX79e5YteJiYmWLJkCY4ePYo9e/bA0dFR5byPP/4Ybdq0KbRNExMTtW/pSyQS2NjYaBSTNjGJIiIiKoGXlxdOnDih/DkxMRFnz57FtGnT8N577+HatWto1qyZRm117NhRrawg8fn368gK89tvvwH4396Jxbl69SrMzc2xdevWQo+bmZnhzp07Wo8ReL234p9//om6deti+fLlasdzcnIAoND+nZycCm1z6NCh2LBhA1q3bo1hw4bB1dUVXbt2hbm5uUYxaRuTKCIiEsXM2BDRC70qOowSmRkbllyplGrWrIkRI0YgMzMTEydOxPLlywtdKF2Yf2/hA/xv/8N/L/QuTEESU69evRLrpqSkIDc3t9CnaAVevnyp9RgB4MWLFxAEAY8fPy51/7Vq1Sq07vfff4/GjRsjKCgIixcvxuLFi2FqaoqhQ4fiu+++U9nq6G1gEkVERKJIJJIyT5Ppu4InJjdv3nxrfRbsZ/j48eMSN4G2tLSERCJBcnJy+QdWSN8A4OjoiOvXr5fq3KJeFGxsbIzZs2dj9uzZePLkCc6fP4/t27dj586dePr0KU6efLvTyzq3xQEREZG+SElJAfD6q/dvS0HidurUqRLrdunSBc+fP8e9e/fKJZaCDUYLezplYWGBli1b4vbt2xpPAZZG3bp1MWLECJw4cQJNmzbFmTNnSr1NRFkxiSIiIhIhPz8f69atAwB07979rfU7duxYVK1aFd999x0iIyPVjj9+/Fj552nTpgEAJkyYoLLHU4GnT5/i9u3bomOxtraGRCLBo0ePCj0+bdo0vHr1Cr6+voVO28XFxeHBgwca9aVQKBAaGgpBEFTKX758ifT0dBgbG6vsGv82vNvPYYmIiDQQExOjsidhUlISzp07h9u3b6NBgwb45ptv3losNWvWxM6dOzF8+HA4OTlh4MCBaN68OZKTk3Ht2jXIZDIcOnQIANC7d2/Mnz8fixYtgr29PXr37g07Ozs8f/4cMTExuHjxIhYvXoyWLVuKiqVq1aro3LkzLly4gPHjx6Np06YwMDDAyJEj0bBhQ0yePBlXr17Fjh07cOnSJfTo0QN169bFs2fPcOfOHVy7dg27d+/W6N20mZmZ8PT0ROPGjdGlSxc0bNgQGRkZOHbsGJ4+fYqvvvoKJiYmosYhFpMoIiKiEvx7iwOpVAqZTIYZM2Zgzpw5b31B8wcffIBr165h2bJlOH/+PI4cOQJbW1u0b98evr6+KnUXLlyI999/H99//z3Onj2L1NRUVK9eHY0aNUJAQABGjRpVplh27doFPz8/HDp0CHK5HIIgwNnZGQ0bNlTuft63b19s3rwZx44dQ0ZGBmrWrImmTZvi22+/RY8ePTTqx9zcHCtWrMDZs2dx8eJFJCYmwtraGi1atMCKFSswbNiwMo1DDInw7+dipDVpaWmwsrKCXC5XLrAjItInWVlZiIuLQ6NGjVRe2k6kjzT9fdb0/s01UUREREQiMIkiIiIiEoFJFBEREZEITKKIiIiIRGASRURERCQCkygiIiIiEZhEEREREYnAJIqIiIhIBCZRRERERCIwiSIiIiISgUkUERERkQhMooiIiIhEYBJFREREJAKTKCIiIi2TyWSQyWQVHQaVMyZRRERExXjw4AEkEonax9zcHG3btkVgYCAyMjIqOkyqAEYVHQAREZE+aNKkCUaPHg0AEAQBSUlJ+PXXXxEQEICTJ0/i4sWLMDQ0BACcPXu2IkOlt4RJFBERkQbs7e0REBCgUqZQKNC1a1dcuXIFFy5cgLu7O4DXCRdVfpzOIyIiEkkqlSoTp6SkJGV5YWuiAgICIJFIEBYWhuDgYHTs2BFmZmaoU6cOpk2bhszMTLX2Dxw4AFdXV9SsWROmpqZo0KABevfujUOHDpXnsEhDTKKIiIhEys7ORlhYGCQSCdq3b6/ROT/88AMmTJiAli1bYsqUKbC2tsa6deswadIklXr//e9/4ePjg3v37uGDDz7AjBkz0KNHDyQkJDCJ0hGcziMiInEEAchVVHQUJTOSAhJJmZuJiYlRTucJgoDk5GScPHkSjx8/xsqVK9GsWTON2jl9+jRu3LiB5s2bAwCWLFmC9u3bY8+ePVi1ahXq1q0LANiyZQtMTExw69Yt1KhRQ6WN58+fl3k8VHY6l0SlpqZiwYIFiIiIQFxcHF68eAFbW1s0b94cn332GT788ENINPzL8OjRIyxatAi//vornj59CltbW3h5eWHhwoVo0KBBoedERETA398fV65cQXZ2NhwcHDB9+nSMHDlSm8MkItJ/uQrg57EVHUXJhuwAjE3L3ExsbCwCAwPVygcOHIh+/fpp3M4XX3yhTKAAwMzMDCNGjEBgYCBu3LihTKIAwNjYGMbGxmptVK9evZTRU3nQuem85ORkbNu2Debm5hg8eDBmzpyJPn364K+//oKPjw8mT56sUTuxsbFwdHTEpk2b0KJFC3zxxRdwcnLCjh070KlTJ8TGxqqdExYWBhcXF1y8eBE+Pj6YMmUKkpOTMWrUKCxdulTbQyUiIj3i5eUFQRCUn2fPnmH37t24fPky3nvvPdy9e1ejdjp27KhWVr9+fQCvHyQUGDp0KF6+fInWrVtj1qxZOHbsmMpx0gGCjsnNzRVycnLUytPS0oRWrVoJAISoqKgS2+nXr58AQFi7dq1KeXBwsABA8PLyUinPyckRmjRpIkilUuHmzZsq/To4OAhGRkbC3bt3SzUWuVwuABDkcnmpziMi0hWZmZlCdHS0kJmZqX4wP18QsjN1/5OfX6ZrEBcXV+h9o8DWrVsFAML48eOVZXZ2doKdnZ1KPX9/fwGAcO7cObU2tm/fLgAQtm/f/sblzRc2b94sODo6ChKJRAAgGBkZCQMHDhTu379fpjG9q4r9fX6DpvdvnXsSZWhoCCMj9VlGCwsLeHl5AXg9L12crKwsnDx5ErVq1cLUqVNVjg0ZMgTt27fHyZMncf/+fWV5aGgoYmNjMXLkSHTo0EGl3/nz5yM3Nxfbt28vy9CIiCoXieT1NJmuf7SwHqo4Tk5OAICbN29qtV2JRIJJkybh+vXrSEpKwsGDB/Hhhx/iyJEj6NevH/Ly8rTaH5WeziVRRcnKykJoaCgkEglatWpVbN3nz58jNzcXdnZ2ha6fatSoEQDg3LlzyrKwsDAAQK9evdTqF5SdP39ebPhERFRJpaSkAADy8/PLrY/q1atj8ODB2LdvHzw8PHD79u0SHyhQ+dO5heUFUlNTsWbNGuTn5yMxMRHHjx9HQkIC/P390bRp02LPtba2hqGhIeLj4yEIgloiFRcXBwAq89f37t0DgELbtra2hq2trbJOURQKBRSK/31TJS0trfhBEhGRXsvPz8e6desAAN27d9dq2ydPnoSnp6fK7ExOTo4yaTMzM9Nqf1R6Op1EvfktCGNjY6xatQozZ84s8dwqVarA1dUVoaGh+PHHH/HZZ58pj/3yyy+IjIxU9lFALpcDAKysrApt09LSEo8ePSq232XLlhX6zQ0iItJ/b25xALzeXPPcuXO4ffs2GjRogG+++Uar/Q0bNgxVqlSBi4sL7OzskJOTg9OnTyM6OhrDhg1Dw4YNtdoflZ7OJlEymQyCICAvLw8JCQnYu3cv5s2bh8uXLyM4OLjQdVNvWr16NVxcXPD555/j6NGjaNu2LWJiYnD48GG0bdsWf/zxh/IdR9oyZ84czJgxQ/lzWlpakVspEBGRfvn3FgdSqRQymQwzZszAnDlzYGtrq9X+li1bhhMnTuC3337D0aNHYW5uDnt7e2zcuBETJkzQal8kjkQQBKGig9DUqlWr8OWXX+LHH3/ElClTSqx/584d+Pv749y5c5DL5bC3t4efnx9SU1Mxe/ZsLFiwQPkXYsiQIdi/fz+uX78OR0dHtbZq1KgBiUSCxMREjeNNS0uDlZUV5HI5LC0tNR8oEZGOyMrKQlxcHBo1agRT07LvtURUkTT9fdb0/q03C8uB/y3wLlgEXpIWLVpg3759SExMhEKhwF9//YVJkyYhKioKANCpUydl3YK1UIWte3rx4gWSk5NLXItFRERE7w69SqKePHkCACVO5RUnPT0dR48ehY2NDXr27Kksd3V1BQCcOnVK7ZyCsoI6RERERDqXREVGRioXeb8pJSUFc+fOBQD06dNHWZ6cnIw7d+4gOTlZpX5mZiZyc3NVyhQKBSZOnIiUlBT4+/urPMrz9PRE48aNsXv3buXCc+B10rVo0SIYGRlh3LhxWhghERERVQY6t7A8KCgIW7Zsgbu7O+zs7GBubo74+HiEhIQgIyMD3t7eKu+xW79+PQIDA+Hv76/yrYkbN27gww8/RM+ePdGgQQOkpaUhJCQEDx8+hK+vr9omnEZGRtiyZQu8vLzQvXt3jBgxApaWlvjll18QFxeHxYsXa/xySSIiIqr8dC6J8vHxgVwux9WrV3HhwgW8evUKNjY2cHFxwZgxYzB8+HCNXkDcsGFDuLm54eLFi3j27BmqVKmCjh07YvXq1fD29i70HHd3d4SHh8Pf3x/BwcHKFxAvWrQIo0aN0vZQiYiISI/p1bfz9A2/nUdE+o7fzqPK5J3+dh4REVUM/nubKgNt/x4ziSIioiIVbEqck5NTwZEQlV3B77G2NttmEkVEREUyNjaGVCqFXC7n0yjSa4IgQC6XQyqVwtjYWCtt6tzCciIi0i22trZ4/PgxHj16BCsrKxgbG2v0BR8iXSAIAnJyciCXy5GRkYF69epprW0mUUREVKyChbXJycl4/PhxBUdDJI5UKkW9evW0+kUvJlFERFQiS0tLWFpaIicnB3l5eRUdDlGpGBoaam0K701MooiISGPGxsblcjMi0kdcWE5EREQkApMoIiIiIhGYRBERERGJwCSKiIiISAQmUUREREQiMIkiIiIiEkGjLQ48PDzK3NG4ceMwZsyYMrdDREREpAs0SqLCwsLK1IlEIoGbm1uZ2iAiIiLSJRpP5wUEBCA/P1/Uhy+tJCIiosqGa6KIiIiIRNBoOu/06dNo3Lix6E7Kej4RERGRrpEInGsrN2lpabCysoJcLtfqW6OJiIio/Gh6/+Z0HhEREZEIopKov/76Czt37kRaWpqyLDMzE1OmTEG9evXQtGlTbN68WWtBEhEREekaUdN5I0eORFhYGB4/fgyJRAIA8PPzw9q1a1G1alUoFArk5ubi1KlT8PT01HrQ+oLTeURERPqnXKfzfvvtN7i7uysTqJycHGzbtg1OTk5ITExEXFwcatSogf/85z/ioiciIiLScaKSqGfPnqFhw4bKn69du4b09HR88sknMDU1Rd26dTFo0CDcunVLa4ESERER6RJRSZShoSEUCoXy54sXL0IikcDd3V1ZVr16dSQnJ5c9QiIiIiIdJCqJkslkOHfunPLn/fv3o1GjRrCzs1OWPX78GNWrVy97hEREREQ6SFQS9dFHH+HWrVtwdnbG+++/j8jISIwYMUKlzs2bN9G0aVOtBElERESka0QlUZ9//jmGDBmCiIgIhIeHw8vLC3PnzlUej4iIwF9//QUPDw+tBUpERESkSzR67cu/SaVS7Nu3D2lpaZBIJLCwsFA53qhRI/z++++QyWTaiJGIiIhI52j8JGrs2LE4ePAgXr58qSyztLRUS6AAwNbWFu3atYOVlVWpA0pNTcW0adPQtWtX1K5dG1KpFPXq1YOHhwcOHDiA0mxrlZqaigULFqBt27awsLCAra0tOnfujPXr1yMrK0utvkwmg0QiKfTzySeflHosREREVHlpvNmmlZUVMjIyIJVK4eHhgcGDB6N///6oXbu2VgOKiYlB+/bt4ezsDHt7e9jY2CAxMRFHjx5FYmIifH19sWnTphLbSU1NhaOjI+7fvw8XFxd06dIFCoUCv/76K2JjY+Hh4YHTp0/DwOB/eaRMJkNqaiqmT5+u1l6nTp3Qv3//Uo2Fm20SERHpH03v3xonUTk5OQgNDcXhw4dx7NgxPHr0CAYGBujcuTMGDx6MgQMHomXLlmUOPC8vD4IgwMhIdaYxPT0dzs7OiI6ORlRUFBwcHIptZ+XKlfjqq6/g5+eH1atXK8uzs7Ph4uKCiIgInD9/Hu+//77yWMH044MHD8o8DoBJFBERkT7S+o7lxsbG8PLywo8//oiHDx8iIiICc+bMwatXrzBnzhy0bt0azZo1w5dffonw8PBSTbu9ydDQUC2BAgALCwt4eXkBeP20qiT3798HAPTt21el3MTEBD179gQAJCYmioqRiIiISNS38wDA0dERixYtwq1bt3D//n189913qF+/PtasWQNXV1fUqlULEydOxJEjR5CZmVnmQLOyshAaGgqJRIJWrVqVWL/gSdWJEydUynNycnDmzBmYmZmha9euaucpFArs2LEDS5cuxX//+1/uuk5ERESFEvUC4uK8ePECx44dw+HDh3Hq1ClkZGSgSpUqyMjIKFU7qampWLNmDfLz85GYmIjjx48jISEB/v7+CAgIKPH8zMxMuLq6IiIiAq6urujcuTMUCgVOnDiBFy9eYPPmzRg8eLDKOTKZDPHx8Wpt9e7dG7t27YKtrW2pxsDpPCIiIv2j9TVRYmRnZ+PMmTM4cuQINmzYUKpzHzx4gEaNGil/NjY2xtKlSzFz5kzli49L8urVK0yePBk//fSTsszAwACff/455s+fr5YULVy4EK6urnBwcIBUKkV0dDQCAwPx66+/omvXrrh06VKxfSsUCpXX4aSlpaFBgwZMooiIiPSITiRR2pCXl4eEhATs3bsX/v7+6NevH4KDgwtdN/Wm5ORkDBo0CImJiVi7di26deuGrKwsHDlyBDNnzkSNGjVw/fp1WFtbF9tOfn4+XF1dER4ejmPHjqFfv35F1g0ICEBgYKBaOZMoIiIi/aH1heVvSklJQVpaWrF1Hj58iAsXLohpXoWhoSFkMhm+/vprLF68GAcPHsTmzZtLPG/GjBm4fPkyDhw4gL59+8LKygq1atWCr68vVq5cifv372PNmjUltmNgYIDx48cDAC5dulRs3Tlz5kAulys/CQkJGo2RiIiI9E+pkqhLly6hTZs2qFGjBqytrdG1a1dcvHix0Lrbt2+Hu7u7VoIs0KtXLwBAWFhYiXVDQkJgY2ODtm3bqh0reB3NjRs3NOq3YNrv1atXxdaTSqWwtLRU+RAREVHlpHES9ffff6NXr17466+/0LRpU7Rq1QrXrl2Dh4cHVqxYUZ4xKj158gQASpzKA16vx0pLS0N2drbasaSkJACvkx5NXLt2DQD4GhsiIiJS0jiJWrp0KTIzM7F3717cuXMHf/75J65evQp7e3vMnTsX8+fP10pAkZGRkMvlauUpKSnKlxz36dNHWZ6cnIw7d+4gOTlZpX63bt2Qm5uLRYsWqZQrFApl2ZtPyqKjo5GamqrWb3h4OFavXg2pVIoPP/xQ9LiIiIioctH4BcTnzp1D3759MXToUGWZk5MTrl27hg8++ABLly5FXl4eli5dWqaAgoKCsGXLFri7u8POzg7m5uaIj49HSEgIMjIy4O3tjZEjRyrrr1+/HoGBgWpbHyxfvhyXL1/G4sWLcerUKeXC8pMnT+L+/ftwdHTEpEmTlPWDg4OxcuVKeHp6QiaTQSqVIioqCqdOnYKBgQE2bNiAhg0blmlsREREVHlonEQ9e/YMbdq0USu3tLTE8ePHMXjwYKxYsQL5+flYvny56IB8fHwgl8tx9epVXLhwAa9evYKNjQ1cXFwwZswYDB8+XKMtDtq3b48bN25g2bJlOHv2LNavXw8jIyPY29sjMDAQs2bNgqmpqbK+u7s7bt++jZs3b+L8+fPIyspCrVq1MGzYMPj5+cHJyUn0mIiIiKjy0XiLg3r16mHw4MH44YcfCj2enZ2NgQMH4vTp05g5cybMzc2xcOFC5OXlaTVgfcLNNomIiPSPpvdvjZ9E2dvbIzw8vMjjJiYmOHz4MAYNGoTvvvsOtWvXLl3ERERERHpE44XlXl5eiIqKwp9//llkHalUisOHD6NHjx74559/tBIgERERkS7S+EnU0KFD8eeff+L3338vdG1UAalUiiNHjmDy5MmFvoeOiIiIqDLQ+de+6DOuiSIiItI/5fraFyIiIqJ3HZMoIiIiIhFEJ1Hbtm3TZhxEREREekVUErV69Wr4+vpqOxYiIiIivVHqJGrBggWYPXs2Pvvss/KIh4iIiEgvaLzFAQB88cUXWL9+PUaNGoXvv/++vGIiIiIi0nkaJVH5+fmYMGECdu7ciUGDBiEoKKicwyIiIiLSbRpN561ZswY7d+6Eu7s79u3bBwMDfqmPiIiI3m0aZUPp6emQSCQYOXIkTExMyjsmIiIiIp2nURI1cOBAWFtb49NPP8Wvv/5a3jERERER6TyNkqgOHTrg/PnzsLW1hY+PD8LDw8s7LiIiIiKdpvHiJgcHB1y8eBG1atVC//798fvvv5dnXEREREQ6rVQrxBs3boxLly6hfv366N27d3nFRERERKTzSv01uzp16uD8+fOQyWTlEA4RERGRfhC1V0H16tVx9uxZbcdCREREpDdEb/hUtWpVbcZBREREpFe4ayYRERGRCEyiiIiIiEQQnURdvnwZH3zwARo3bgypVApDQ0O1j5FRqd5vTERERKQ3RGU5P/30E8aOHQtBENC4cWM4OTkxYSIiIqJ3iqjMZ9GiRbC2tsavv/6Kzp07azsmIiIiIp0najrv4cOHGD58OBMoIiIiemeJSqJkMhmys7O1HQsRERGR3hCVRH3yySc4duwYUlJStB0PERERkV4QtSbqiy++QExMDLp164ZvvvkG7dq1g6WlZaF1GzZsWKYAiYiIiHSR6K/UtW/fHj/99BPGjBlTZB2JRILc3FyxXRARERHpLFFJ1Lp16zB9+nQYGxvD3d0dderU0doWB6mpqViwYAEiIiIQFxeHFy9ewNbWFs2bN8dnn32GDz/8EBKJROO2Vq9ejUOHDiEuLg5SqRSNGjXC2LFjMWnSJJiamqqdExERAX9/f1y5cgXZ2dlwcHDA9OnTMXLkSK2Mj4iIiCoHiSAIQmlPaty4MXJzc3H58mXUr19fqwHFxMSgffv2cHZ2hr29PWxsbJCYmIijR48iMTERvr6+2LRpU4ntpKamwtHREffv34eLiwu6dOkChUKBX3/9FbGxsfDw8MDp06dhYPC/ZWFhYWHw8vKCiYkJhg8fDisrK/zyyy+Ii4vDkiVLMHfu3FKNJS0tDVZWVpDL5UVOdxIREZFu0fj+LYhgZmYmTJ8+XcypJcrNzRVycnLUytPS0oRWrVoJAISoqKgS21mxYoUAQPDz81MpVygUQufOnQUAwvnz55XlOTk5QpMmTQSpVCrcvHlTpV8HBwfByMhIuHv3bqnGIpfLBQCCXC4v1XlERERUcTS9f4v6dp69vT1SU1PFnFqiol4XY2FhAS8vLwCvn1aV5P79+wCAvn37qpSbmJigZ8+eAIDExERleWhoKGJjYzFy5Eh06NBBpd/58+cjNzcX27dvL/2AiIiIqFISlUT5+fnh8OHDiI+P13Y8RcrKykJoaCgkEglatWpVYn0HBwcAwIkTJ1TKc3JycObMGZiZmaFr167K8rCwMABAr1691NoqKDt//rzY8ImIiKiSEbUavEmTJnB1dUWnTp3wxRdfoH379kXOGb7//vuiAktNTcWaNWuQn5+PxMREHD9+HAkJCfD390fTpk1LPH/SpEnYtWsXvvvuO1y/fh2dO3eGQqHAiRMn8OLFC+zevRv16tVT1r937x4AFNq2tbU1bG1tlXWKolAooFAolD+npaVpOlwiIiLSM6KSKDc3N0gkEgiCgAULFhT7bbm8vDxRgaWmpiIwMFD5s7GxMVatWoWZM2dqdL6ZmRnCwsIwefJk/PTTT8qnSAYGBvj888/h4uKiUl8ulwMArKysCm3P0tISjx49KrbPZcuWqcRMRERElZeoJKqkxEkbZDIZBEFAXl4eEhISsHfvXsybNw+XL19GcHBwiVsqJCcnY9CgQUhMTERISAi6deuGrKwsHDlyBDNnzsSxY8dw/fp1WFtbay3mOXPmYMaMGcqf09LS0KBBA621T0RERLpDVBIVEBCg5TCKZmhoCJlMhq+//hqGhob48ssvsXnzZkyZMqXY82bMmIHLly/j1q1baNu2LYDXT5l8fX2Rl5eHKVOmYM2aNconRwVPoAqeSP1bwdcdiyOVSiGVSks7RCIiItJDohaWV5SCBd4Fi8CLExISAhsbG2UC9SYPDw8AwI0bN5RlBWuhClv39OLFCyQnJ2u0FouIiIjeDaKSqEuXLmHGjBl4+vRpocefPn2KGTNm4OrVq2UK7t+ePHkCABrtjp6dnY20tDRkZ2erHUtKSgIAladGrq6uAIBTp06p1S8oK6hDREREJCqJWr16NY4ePYratWsXerx27do4duwY/vOf/5S67cjIyEKn1FJSUpQ7hvfp00dZnpycjDt37iA5OVmlfrdu3ZCbm4tFixaplCsUCmWZu7u7stzT0xONGzfG7t27ERkZqSxPT0/HokWLYGRkhHHjxpV6PERERFQ5iVoTFRERAU9Pz2LrvP/++zh9+nSp2w4KCsKWLVvg7u4OOzs7mJubIz4+HiEhIcjIyIC3t7fKe+zWr1+PwMBA+Pv7q6zVWr58OS5fvozFixfj1KlTyoXlJ0+exP379+Ho6IhJkyYp6xsZGWHLli3w8vJC9+7dMWLECFhaWipf+7J48WI0a9as1OMhIiKiyklUEpWYmKiyx1JhateurbIjuKZ8fHwgl8tx9epVXLhwAa9evYKNjQ1cXFwwZswYDB8+XKNvBrZv3x43btzAsmXLcPbsWaxfvx5GRkawt7dHYGAgZs2apfYCYnd3d4SHh8Pf3x/BwcHKFxAvWrQIo0aNKvVYiIiIqPIS9QLi2rVro1evXti5c2eRdT766COcOHFCuf7oXcQXEBMREekfTe/fotZEde3aFQcPHkRCQkKhxx8+fIhDhw7hvffeE9M8ERERkc4TlUTNmDEDr169Qrdu3bBz5078888/AIB//vkHO3bsQLdu3ZCZmanx7uJERERE+kbUmqju3bvj+++/x/Tp0zF+/HgAUL4GBnj9apW1a9eKfm8eERERka4TtSaqQFRUFP773/8iIiICqampqFatGpycnPDJJ5+gdevW2oxTL3FNFBERkf7R9P5dpiSKisckioiISP9ofWG5nZ0dvvjiC4SGhiIvL08rQRIRERHpK42TqJYtW2Ljxo3o2bMnbG1tMXr0aPz8889IT08vz/iIiIiIdFKppvMyMjJw/PhxHD58GL/++itSU1NhYmICNzc3DB48GAMGDChxE853CafziIiI9E+5r4nKy8tDWFgYDh8+jKNHjyI+Ph4SiQQdO3bE4MGDMXDgQLRp00b0ACoDJlFERET6560vLL916xYOHTqEI0eO4Pfff4dEIoGdnZ0yoXJzc9NGN3qFSRQREZH+qdBv5z169EiZUJ0/fx65ubnv5GJ0JlFERET6R2e2OEhLS8Px48cxfPjw8uxGJzGJIiIi0j/l+u680rC0tHwnEygiIiKq3ES99gUAoqOjsX79euVu5YVN10kkEsTGxpYpQCIiIiJdJCqJOn/+PHr37g2FQgEjIyPUqlULRkbqTXEzdCIiIqqsRCVRX3/9NXJzc7FlyxaMHTsWhoaG2o6LiIiISKeJSqJu3bqF4cOHY8KECdqOh4iIiEgviFpYbmFhgZo1a2o7FiIiIiK9ISqJ6tevHy5evKjtWIiIiIj0hqgkauXKlZDL5Zg2bRpevXql7ZiIiIiIdJ6ozTY9PDyQmpqKW7duwdzcHE2bNoWVlZV64xIJzp49q5VA9RE32yQiItI/5bpjuYGBZg+wJBLJO/m6lwJMooiIiPSPpvdvUd/Oy8/PFx0YERERUWVQ7q99ISIiIqqMtJJEvXz5Ev/88w9evnypjeaIiIiIdJ7od+fl5ORg1apVCAoKUnk/XuPGjTF+/HjMmjULJiYmWgmS/kfIz0dmFr8RSUREBABmplUg0XCttraJWliemZmJnj174sqVKzA0NESTJk1Qu3ZtPHv2DLGxscjNzUWXLl1w9uxZmJmZlUfceqE8Fpa/epWBy8v6a6UtIiIifffenGOoUqWqVtvU9P4tep+oy5cvY8SIEbh//z5u376Nc+fOITo6GnFxcRg1ahSuXr2KlStXih4AERERkS4T9SSqZcuWsLCwwG+//VZkHScnJ6Snp+P27dtlClCflceTKE7nERER/U95TOeV6xYHDx48gJ+fX7F1PD09sWbNGjHNUzEkBgZaf2xJREREpScqdatSpQqSkpKKrZOUlIQqVaqUuu3U1FRMmzYNXbt2Re3atSGVSlGvXj14eHjgwIED0PTBmZubGyQSSbGfXbt2qZwjk8mKrPvJJ5+UeixERERUeYl6EuXs7Iy9e/di+vTpcHBwUDseHR2Nffv2wdXVtdRtJycnY9u2bXB2dsbgwYNhY2ODxMREHD16FD4+PvD19cWmTZtKbGfcuHFwc3NTK8/JycGyZctgYGAAT09PteNWVlaYPn26WnmnTp1KPRYiIiKqvEStibp8+TLc3NxgZGSEiRMnwtXVFbVq1cKzZ88QFhaG7du3IycnB+fOnUO3bt1K1XZeXh4EQYCRkWp+l56eDmdnZ0RHRyMqKqrQ5E0TBw4cgI+PDwYMGIAjR46oHJPJZABeT1dqA1/7QkREpH/KdU3Ue++9hz179mDSpEn44Ycf8OOPPyqPCYIAKysr7Nixo9QJFAAYGhoWWm5hYQEvLy9ER0cjJiZGdBK1ZcsWAMDEiRNFnU9EREQElGGzTW9vb3h5eeHQoUP4/fffkZaWBktLS3To0AGDBg2ChYWFNuNEVlYWQkNDIZFI0KpVK1FtPHr0CKdOnULt2rXRr1+/QusoFArs2LEDjx8/hrW1Nd577z20a9euLKETERFRJSQ6iQKAqlWrYvTo0Rg9erS24lFKTU3FmjVrkJ+fj8TERBw/fhwJCQnw9/dH06ZNRbW5fft25OfnY9y4cWrThQWePn2KcePGqZT17t0bu3btgq2tbbHtKxQKKBQK5c9paWmi4iQiIiLdJ+rbeR4eHti5c2exdfbs2QMPDw9RQQGvk6jAwEAsWrQIGzduxNOnT7Fq1Sr4+/uLak8QBGzfvh1A0VN5EyZMQFhYGJKSkpCWloarV6+iT58+OHHiBAYOHFjiNwOXLVsGKysr5adBgwaiYiUiIiLdJyqJCgsLK3Hx9cOHD3H+/HkxzQN4vchbEATk5uYiLi4OCxcuxLx58+Dt7Y3c3NxStxcaGoq4uDi4urrC3t6+0DoLFiyAq6srbG1tYWFhgS5duuDYsWNwcXHBlStXcPz48WL7mDNnDuRyufKTkJBQ6jiJiIhIP5TbG/tevnwJY2PjMrdjaGgImUyGr7/+GosXL8bBgwexefPmUrdTsKB80qRJpTrPwMAA48ePBwBcunSp2LpSqRSWlpYqHyIiIqqcNF4T9fDhQ5WfU1NT1cqA11sUPHr0CD///LNyywBt6dWrF7788kuEhYVhypQpGp/34sULHDx4ENWqVYO3t3ep+y1YC/XqFV+3QkRERK9pnEQV7OYNABKJBGvXrsXatWuLrC8IAlatWlX2CN/w5MkTAChyUXhRfvrpJygUCkyaNAlmZmal7vfatWsAoPWkkIiIiPSXxtnImDFjIJFIIAgCdu7ciXbt2qF9+/Zq9QwNDWFjYwMPDw/07t271AFFRkaiUaNGsLKyUilPSUnB3LlzAQB9+vRRlicnJyM5ORm2trZFfntu69atAIrfGyo6Ohp169ZFtWrVVMrDw8OxevVqSKVSfPjhh6UeDxEREVVOGidRQUFByj+fP38e48ePx7Rp07QeUFBQELZs2QJ3d3fY2dnB3Nwc8fHxCAkJQUZGBry9vTFy5Ehl/fXr1yMwMBD+/v4ICAhQa+/GjRu4desWOnbsiA4dOhTZb3BwMFauXAlPT0/IZDJIpVJERUXh1KlTMDAwwIYNG9CwYUOtj5eIiIj0k6h9ouLi4rQdh5KPjw/kcjmuXr2KCxcu4NWrV7CxsYGLiwvGjBmD4cOHK6cVNVHwFKqkBeXu7u64ffs2bt68ifPnzyMrKwu1atXCsGHD4OfnBycnpzKNi4iIiCoXUe/Oe9Ply5cRGRmpfL9M+/btRb3upTLiu/OIiIj0T7m+Ow94vdh67NixuHfvHoDXC8kLnhA1bdoU27dvR9euXcU2T0RERKTTRCVRt2/fRo8ePfDy5Ut4eXnBzc0NtWvXxrNnzxAWFoYTJ07Ay8sLV69eFf2eOyIiIiJdJmo6b/jw4Th48CCOHTuGnj17qh0/c+YM+vXrhw8++AB79+7VSqD6iNN5RERE+kfT+7eoHcvPnTsHHx+fQhMoAOjRowe8vb1x7tw5Mc0TERER6TxRSZRcLi9x48lGjRpBLpeLaZ6IiIhI54lKourWrYurV68WW+fatWuoW7euqKCIiIiIdJ2oJGrQoEEICwvD/PnzkZWVpXIsKysL/v7+OHfuHAYNGqSVIImIiIh0jaiF5SkpKejSpQvu37+P6tWrw8nJCbVq1cKzZ88QERGBpKQkNG7cGL/99htsbGzKI269wIXlRERE+kfT+7fozTZTUlIwe/Zs7N27F5mZmcpyU1NTjBgxAitWrCjyXXbvCiZRRERE+qfck6gCOTk5uHPnDtLS0mBpaYkWLVrA2Ni4LE1WGkyiiIiI9E+571hewNjYGG3atClrM0RERER6RdTCciIiIqJ3negk6syZM+jbty9q1KgBY2NjGBoaqn2MjMr8oIuIiIhIJ4nKcg4cOIBhw4YhPz8fdnZ2aNGiBRMmIiIieqeIynwWLlwIMzMzHD58GB4eHtqOiYiIiEjniZrO+/vvvzF8+HAmUERERPTOEpVE2draokqVKtqOhYiIiEhviEqihg4dijNnziA3N1fb8RARERHpBVFJ1OLFi2FtbY1hw4bh4cOH2o6JiIiISOdptLC8cePGamU5OTm4cuUKDh06hGrVqsHKykqtjkQiQWxsbNmjJCIiItIxGiVR+fn5kEgkqicaGaFhw4bKnwt7e0wZ3yhDREREpLM0SqIePHhQzmEQERER6Re+9oWIiIhIhDJvM56bm4u7d+9CLpfDysoKzZo14+7lREREVOmJfhKVlJQEX19fVKtWDW3atIGLiwvatGmDatWq4eOPP0ZSUpI24yQiIiLSKRJBxOrvx48fo1u3bnj48CFq1KgBR0dH1KpVC8+ePcONGzeQlJQEOzs7hIeHo169euURt15IS0uDlZUV5HI5LC0tKzocIiIi0oCm929RT6K+/PJLPHz4EIGBgYiPj8fx48exfft2HD9+HPHx8QgICEB8fDy++uor0QMgIiIi0mWinkRVr14dXbp0wfHjx4us07t3b0REROD58+dlClCf8UkUERGR/inXJ1HZ2dno2LFjsXUcHR2RnZ0tpnkiIiIinScqiXJ0dMSdO3eKrXPnzh04OjqWuu3U1FRMmzYNXbt2Re3atSGVSlGvXj14eHjgwIEDGm/g6ebmBolEUuxn165daudFRESgb9++sLa2hrm5OZycnLB79+5Sj4OIiIgqN1F7ESxatAg9e/ZEUFAQxo0bp3Z827ZtOH78OE6fPl3qtpOTk7Ft2zY4Oztj8ODBsLGxQWJiIo4ePQofHx/4+vpi06ZNJbYzbtw4uLm5qZXn5ORg2bJlMDAwgKenp8qxsLAweHl5wcTEBMOHD4eVlRV++eUXjBo1Cg8ePMDcuXNLPR4iIiKqnEStiVq4cCGuXLmCU6dOoXnz5ujWrRtq1qyJxMREXLp0CX///Td69eqFrl27qnYmkWD+/PnFtp2XlwdBENT2mkpPT4ezszOio6MRFRUFBweH0oYNADhw4AB8fHwwYMAAHDlyRFmem5uLFi1a4NGjR7hy5Qo6dOig7Ldr1674+++/ER0djaZNm2rcF9dEERER6R+N79+CCBKJRNTHwMBATHdKfn5+AgDh0KFDotvo3bt3oW2cPHlSACCMHz9e7Zy9e/cKAIQ5c+aUqi+5XC4AEORyueh4iYiI6O3S9P4tajrv3LlzYk4rk6ysLISGhkIikaBVq1ai2nj06BFOnTqF2rVro1+/firHwsLCAAC9evVSO6+g7Pz586L6JSIiospHVBLl6uqq7TjUpKamYs2aNcjPz0diYiKOHz+OhIQE+Pv7l2pK7U3bt29Hfn4+xo0bpzZdeO/ePQAotG1ra2vY2toq6xARERHp7EvuUlNTERgYqPzZ2NgYq1atwsyZM0W1JwgCtm/fDgCYOHGi2nG5XA4AsLKyKvR8S0tLPHr0qNg+FAoFFAqF8ue0tDRRsRIREZHu02iLg7t37yIlJUV0J2LOl8lkEAQBubm5iIuLw8KFCzFv3jx4e3sjNze31DGEhoYiLi4Orq6usLe3L/X5mli2bBmsrKyUnwYNGpRLP0RERFTxNEqiWrZsifXr14vupGXLlvjhhx9EnWtoaAiZTIavv/4aixcvxsGDB7F58+ZSt7NlyxYAwKRJkwo9XvAEquCJ1L8VrNQvzpw5cyCXy5WfhISEUsdJRERE+kGjJEoo/S4IaueXtQ3gfwu8CxaBa+rFixc4ePAgqlWrBm9v70LrFKyFKmzd04sXL5CcnFziWiypVApLS0uVDxEREVVOGq+JWrNmDYKCgkR1IpFIRJ33b0+ePAEAtUXhJfnpp5+gUCgwadIkmJmZFVrH1dUVy5Ytw6lTpzB8+HCVY6dOnVLWISIiIgI0fBLVsGFDWFlZKZ8olfbTsGFDVKtWTaOAIiMjC51SS0lJUe4Y3qdPH2V5cnIy7ty5g+Tk5CLb3Lp1K4DCF5QX8PT0ROPGjbF7925ERkYqy9PT07Fo0SIYGRkVujs7ERERvZs0eqTz4MGDcg7jf4KCgrBlyxa4u7vDzs4O5ubmiI+PR0hICDIyMuDt7Y2RI0cq669fvx6BgYHw9/dHQECAWns3btzArVu30LFjR+Uu5IUxMjLCli1b4OXlhe7du2PEiBGwtLTEL7/8gri4OCxevBjNmjUrjyETERGRHtK5LQ58fHwgl8tx9epVXLhwAa9evYKNjQ1cXFwwZswYDB8+vFTTgwVPoYpaUP4md3d3hIeHw9/fH8HBwcjOzoaDgwMWLVqEUaNGiR4TERERVT6i3p1HmuG784iIiPSPpvdvjdZEEREREZEqJlFEREREIjCJIiIiIhKBSRQRERGRCEyiiIiIiEQQlUTduHFDo3rbtm0T0zwRERGRzhOVRHXr1g2rVq0q8rhcLsfQoUPh6+srOjAiIiIiXSYqiWrcuDG+/vpr9OzZU/k+uwIXL15Eu3btsH///iJf9ktERESk70QlUTdv3oSvry/Onj2Ldu3a4fDhw8jPz8c333wDDw8PPH/+HFu3bkVwcLC24yUiIiLSCWXasfzw4cOYNGkSUlJSYGdnh/j4eDg6OmL37t2wt7fXZpx6iTuWExER6Z+3smP5oEGD8OWXX0IQBDx48ADVq1fHoUOHmEARERFRpSc6icrIyMBHH32Er7/+GnXq1MHQoUORnJyMTp064dSpU9qMkYiIiEjniEqifvvtN7Rv3x7/93//h/79++OPP/7A3r17sW/fPmRmZqJPnz6YMWMGsrOztR0vERERkU4QtSbKxMQERkZG+Pbbb/Hpp5+qHHv48CFGjx6N8PBwtG3bFpGRkdqKVe9wTRQREZH+Kdc1US1atMD169fVEigAaNiwIc6fP4/AwEBER0eLaZ6IiIhI54l6EqVQKCCVSkusd+3aNXTp0kVUYJUBn0QRERHpn3J9EqVJAgXgnU6giIiIqHIzEnPSw4cPNa7bsGFDMV0QERER6TRRSZRMJoNEIimxnkQiQW5urpguiIiIiHSaqCRqzJgxhSZRcrkct27dQlxcHFxdXSGTycoaHxEREZFOEpVEBQUFFXlMEAR89913WLlyJbZu3So2LiIiIiKdVqbXvhRGIpFg1qxZcHBwwOzZs7XdPBEREZFO0HoSVaBTp04IDQ0tr+aJiIiIKlS5JVGxsbFcVE5ERESVlqg1UUXJz8/H48ePERQUhMOHD8PT01ObzRMRERHpDFFJlIGBQbFbHAiCgGrVqmHVqlWiAyMiIiLSZaKSqPfff7/QJMrAwADW1tbo1KkTxo8fj1q1apU5QCIiIiJdJCqJCgsL03IYRERERPql3BaWExEREVVmTKKIiIiIRNBoOs/Dw0NU4xKJBGfPni3VOampqViwYAEiIiIQFxeHFy9ewNbWFs2bN8dnn32GDz/8UKP39hVIT0/Ht99+iwMHDuD+/fswMTFB48aNMWjQIPj7+6vUlclkiI+PL7SdyZMnY8OGDaUaCxEREVVeEkEQhJIqGRiIe2AlkUiQl5dXqnNiYmLQvn17ODs7w97eHjY2NkhMTMTRo0eRmJgIX19fbNq0SaO2Hj58CA8PD9y/fx89evRAhw4doFAoEBMTg4cPH+KPP/5QqS+TyZCamorp06ertdWpUyf079+/VGNJS0uDlZUV5HI5LC0tS3UuERERVQxN798aJVFvU15eHgRBgJGR6kOy9PR0ODs7Izo6GlFRUXBwcCixna5duyIqKgohISFwd3dXOZ6bm6vWR8ELkx88eFDmcQBMooiIiPSRpvdvnVsTZWhoqJbcAICFhQW8vLwAvH5aVZL9+/cjIiICs2bNUkugABTaBxEREZGm9CaTyMrKQmhoKCQSCVq1alVi/X379gEAhgwZgoSEBISEhCA1NRVNmjRBnz59ULVq1ULPUygU2LFjBx4/fgxra2u89957aNeunVbHQkRERPpP4yTK0NAQAQEBmD9/vrLs2rVruHbtGqZNm6b1wFJTU7FmzRrk5+cjMTERx48fR0JCAvz9/dG0adMSz79+/ToAIDw8HH5+flAoFMpjNWrUQHBwMNzc3NTOe/r0KcaNG6dS1rt3b+zatQu2trbF9qlQKFT6SUtLKzFOIiIi0k8aT+cJgoB/L586ceIE/Pz8tB4U8DqJCgwMxKJFi7Bx40Y8ffoUq1atUvtGXVESExMBAFOnTsX06dORkJCApKQkfP/995DL5Rg8eDD++ecflXMmTJiAsLAwJCUlIS0tDVevXkWfPn1w4sQJDBw4UG38/7Zs2TJYWVkpPw0aNBA3eCIiItJ5OrcmqoBMJoMgCMjNzUVcXBwWLlyIefPmwdvbG7m5uSWen5+fDwDo378/li9fjvr168PW1hZTp06Fn58f5HI5tm7dqnLOggUL4OrqCltbW1hYWKBLly44duwYXFxccOXKFRw/frzYPufMmQO5XK78JCQkiL8AREREpNN0NokqYGhoCJlMhq+//hqLFy/GwYMHsXnz5hLPs7KyAgAMHDhQ7diAAQMA/G/KrzgGBgYYP348AODSpUvF1pVKpbC0tFT5EBERUeWk80nUm3r16gVAs3f3NW/eHABQrVo1tWMFZZmZmRr1W7AW6tWrVxrVJyIiospPr5KoJ0+eANBse4KCXdajo6PVjhWUFewLVZJr166Vqj4RERFVfhpvtmlgYAB7e3vY29sry2JiYhAbG6vcv0mtcYkEISEhpQooMjISjRo1Uk7HFUhJSYGnpyciIyOxa9cujB49GgCQnJyM5ORk2Nraqnx7Li4uDi1btoSVlRVu3ryJevXqAXi9aef777+PyMhInDlzBp6engBeJ1Z169ZVe3IVHh6Onj17QhAE3L17Fw0bNtR4LNxsk4iISP9oev8u1T5RMTExhW50eeLEiULrl+YddwWCgoKwZcsWuLu7w87ODubm5oiPj0dISAgyMjLg7e2NkSNHKuuvX78egYGB8Pf3R0BAgLK8UaNGWLVqFaZNm4Z27drhgw8+gFQqRUhICB48eICPP/5YmUABQHBwMFauXAlPT0/IZDJIpVJERUXh1KlTMDAwwIYNG0qVQBEREVHlpnESFRcXV55xKPn4+EAul+Pq1au4cOECXr16BRsbG7i4uGDMmDEYPny4xsnZ1KlTIZPJsGrVKuzduxe5ublwcHDA3Llz4evrq1LX3d0dt2/fxs2bN3H+/HlkZWWhVq1aGDZsGPz8/ODk5FQewyUiIiI9pXPvzqtMOJ1HRESkf/T23XlERERE+oBJFBEREZEITKKIiIiIRGASRURERCQCkygiIiIiEZhEEREREYnAJIqIiIhIBCZRRERERCIwiSIiIiISgUkUERERkQhMooiIiIhEYBJFREREJAKTKCIiIiIRmEQRERERicAkioiIiEgEJlFEREREIjCJIiIiIhKBSRQRERGRCEyiiIiIiERgEkVEREQkApMoIiIiIhGYRBERERGJwCSKiIiISAQmUUREREQiMIkiIiIiEoFJFBEREZEITKKIiIiIRGASRURERCQCkygiIiIiEZhEEREREYmgc0lUamoqpk2bhq5du6J27dqQSqWoV68ePDw8cODAAQiCUKr20tPT4e/vj9atW6NKlSqoVq0aOnbsiMDAwELrR0REoG/fvrC2toa5uTmcnJywe/dubQyNiIiIKhGJUNqspJzFxMSgffv2cHZ2hr29PWxsbJCYmIijR48iMTERvr6+2LRpk0ZtPXz4EB4eHrh//z569OiBDh06QKFQICYmBg8fPsQff/yhUj8sLAxeXl4wMTHB8OHDYWVlhV9++QVxcXFYsmQJ5s6dW6qxpKWlwcrKCnK5HJaWlqU6l4iIiCqGpvdvnUui8vLyIAgCjIyMVMrT09Ph7OyM6OhoREVFwcHBocR2unbtiqioKISEhMDd3V3leG5urkofubm5aNGiBR49eoQrV66gQ4cOyn67du2Kv//+G9HR0WjatKnGY2ESRUREpH80vX/r3HSeoaGhWgIFABYWFvDy8gLw+mlVSfbv34+IiAjMmjVLLYECoNZHaGgoYmNjMXLkSGUCVdDv/PnzkZubi+3bt5d2OERERFRJqWcrOiorKwuhoaGQSCRo1apVifX37dsHABgyZAgSEhIQEhKC1NRUNGnSBH369EHVqlVV6oeFhQEAevXqpdZWQdn58+fLOAoiIiKqLHQ2iUpNTcWaNWuQn5+PxMREHD9+HAkJCfD399doSu369esAgPDwcPj5+UGhUCiP1ahRA8HBwXBzc1OW3bt3DwAKbdva2hq2trbKOkVRKBQq/aSlpZUYJxEREeknnU6i3vwGnbGxMVatWoWZM2dqdH5iYiIAYOrUqZg1axY+//xzmJqaYs+ePZg1axYGDx6M27dvo06dOgAAuVwOALCysiq0PUtLSzx69KjYPpctW1bkt/6IiIioctG5NVEFZDIZBEFAbm4u4uLisHDhQsybNw/e3t7Izc0t8fz8/HwAQP/+/bF8+XLUr18ftra2mDp1Kvz8/CCXy7F161atxjxnzhzI5XLlJyEhQavtExERke7Q2SSqgKGhIWQyGb7++mssXrwYBw8exObNm0s8r+CJ0sCBA9WODRgwAMD/pvzerF/wROrfClbqF0cqlcLS0lLlQ0RERJWTzidRbypY4F2wCLw4zZs3BwBUq1ZN7VhBWWZmprKsYC1UYeueXrx4geTk5FJtb0BERESVm14lUU+ePAGgvj1BYTw8PAAA0dHRascKymQymbLM1dUVAHDq1Cm1+gVlBXWIiIiIdC6JioyMLHRKLSUlRbljeJ8+fZTlycnJuHPnDpKTk1Xqjx8/HlKpFOvWrcPjx4+V5enp6Vi6dCkAYOjQocpyT09PNG7cGLt370ZkZKRK/UWLFsHIyAjjxo3TxhCJiIioEtC5JCooKAj16tXDgAED8Pnnn+Orr77C8OHDYWdnh8jISHh7e2PkyJHK+uvXr0fLli2xfv16lXYaNWqEVatWITExEe3atYOvry8+//xztG3bFpGRkfj444/h6emprG9kZIQtW7YgPz8f3bt3x8cff4xZs2ahXbt2+OuvvxAQEIBmzZq9tetAREREuk3ntjjw8fGBXC7H1atXceHCBbx69Qo2NjZwcXHBmDFjMHz4cEgkEo3amjp1KmQyGVatWoW9e/ciNzcXDg4OmDt3Lnx9fdXqu7u7Izw8HP7+/ggODkZ2djYcHBywaNEijBo1SttDJSIiIj2mc+/Oq0z47jwiIiL9o7fvziMiIiLSB0yiiIiIiERgEkVEREQkApMoIiIiIhGYRBERERGJwCSKiIiISAQmUUREREQiMIkiIiIiEoFJFBEREZEITKKIiIiIRGASRURERCQCkygiIiIiEZhEEREREYnAJIqIiIhIBCZRRERERCIwiSIiIiISgUkUERERkQhMooiIiIhEYBJFREREJAKTKCIiIiIRmEQRERERicAkioiIiEgEJlFEREREIjCJIiIiIhKBSRQRERGRCEyiiIiIiERgEkVEREQkApMoIiIiIhGYRBERERGJwCSKiIiISAQmUUREREQiMIkiIiIiEsGoogOozARBAACkpaVVcCRERESkqYL7dsF9vChMospReno6AKBBgwYVHAkRERGVVnp6OqysrIo8LhFKSrNItPz8fDx58gQWFhaQSCRaazctLQ0NGjRAQkICLC0ttdYuqeJ1fnt4rd8OXue3g9f57SjP6ywIAtLT01G3bl0YGBS98olPosqRgYEB6tevX27tW1pa8i/oW8Dr/PbwWr8dvM5vB6/z21Fe17m4J1AFuLCciIiISAQmUUREREQiMInSQ1KpFP7+/pBKpRUdSqXG6/z28Fq/HbzObwev89uhC9eZC8uJiIiIROCTKCIiIiIRmEQRERERicAkioiIiEgEJlFEREREIjCJ0hERERHo27cvrK2tYW5uDicnJ+zevbtUbeTn52P9+vVo27YtzMzMUKNGDQwdOhT37t0rp6j1T1mvc3h4OGbOnAlHR0dUr14dpqamaNGiBb766iukpqaWX+B6Rhu/z2/KyclB+/btIZFI0KJFCy1Gqt+0dZ3T09Ph7++P1q1bo0qVKqhWrRo6duyIwMDAcohaP2njWqempmLBggVo27YtLCwsYGtri86dO2P9+vXIysoqp8j1x08//YTJkyejU6dOkEqlkEgkCAoKKnU7b/VeKFCFO3funGBiYiJUrVpVmDRpkjBz5kyhUaNGAgBhyZIlGrfj6+srABBatWolzJ49WxgzZowglUoFKysr4a+//irHEegHbVznWrVqCYaGhoKrq6swffp0wc/PT+jQoYMAQGjSpInw7Nmzch6F7tPW7/Ob5s+fL5ibmwsAhObNm2s5Yv2krescHx8vNGnSRJBIJELPnj2FL7/8Uvjiiy+Efv36CW3atCnHEegPbVzrFy9eCI0bNxYACC4uLsLMmTOFzz//XGjSpIkAQPDw8BDy8vLKeSS6zc7OTgAg2NraKv+8ffv2UrfzNu+FTKIqWE5OjtCkSRNBKpUKN2/eVJanpaUJDg4OgpGRkXD37t0S2wkNDRUACN27dxeysrKU5WfOnBEkEonw/vvvl0v8+kJb13n58uXCkydPVMry8/OFKVOmCACETz/9VOux6xNtXec33bhxQzAyMhK+//57JlH/n7auc25urtC5c2fBzMxMCA0NLbSfd522rvWKFSsEAIKfn59KuUKhEDp37iwAEM6fP6/1+PXJ6dOnhQcPHgiCIAjLli0TlUS97Xshk6gKdvLkSQGAMH78eLVje/fuFQAIc+bMKbGdESNGFPmXsHfv3gIA4e+//9ZKzPpIW9e5KE+ePBEACA4ODmUJU+9p+zorFAqhTZs2gouLi5Cfn88k6v/T1nUuqDt//vzyCLNS0Na1njx5sgBAOH36tNqxuXPnCgCEn3/+WSsxVwZik6i3fS/kmqgKFhYWBgDo1auX2rGCsvPnz2vUjrm5Obp166Z2zMvLS+N2KittXeeiGBsbAwCMjN7td3pr+zoHBATg3r172Lp1KyQSiVZirAy0dZ337dsHABgyZAgSEhKwYcMGLF++HD///DMyMjK0F7Ae09a1dnBwAACcOHFCpTwnJwdnzpyBmZkZunbtWsZo6W3fC9/t/+PrgIKFbk2bNlU7Zm1tDVtb2xIXw718+RL//PMPWrduDUNDQ7XjBW2/ywvMtXGdi7Nt2zYAhf+P9l2izescERGBlStXYunSpWjWrJlW49R32rrO169fB/D6CxN+fn5QKBTKYzVq1EBwcDDc3Ny0E7Se0ta1njRpEnbt2oXvvvsO169fR+fOnaFQKHDixAm8ePECu3fvRr169bQe/7ukIu6FfBJVweRyOQDAysqq0OOWlpbKOmVp48167yJtXOeiREZGIjAwEDVr1sSXX34pOsbKQFvXWaFQYNy4cejQoQNmzpyp1RgrA21d58TERADA1KlTMX36dCQkJCApKQnff/895HI5Bg8ejH/++Ud7geshbV1rMzMzhIWFYfTo0Th//jy+/fZbrFu3DrGxsRg5ciRcXFy0Gve7qCLuhUyiiMogLi4O/fv3R15eHvbu3QtbW9uKDqlSmD9/Pu7du4dt27YV+i9K0o78/HwAQP/+/bF8+XLUr18ftra2mDp1Kvz8/CCXy7F169YKjrJySE5ORs+ePXH16lWEhIQgNTUVT58+xYYNG7B9+3Z06dIFL168qOgwqZSYRFWwgoy5qMw4LS2tyKy6NG28We9dpI3r/G/x8fFwd3dHUlIS9u/fD3d39zLHqe+0cZ1v3ryJ1atXY968eWjTpo3WY6wMtPX7XFBn4MCBascGDBgA4H9Tfu8qbV3rGTNm4PLlyzhw4AD69u0LKysr1KpVC76+vli5ciXu37+PNWvWaDP0d05F3AuZRFWw4uZoX7x4geTk5ELn4t9kbm6OOnXqIC4uDnl5eWrHi5vTf1do4zq/6cGDB3Bzc8OTJ08QHByM/v37ay1WfaaN6/zHH38gLy8PAQEBkEgkKh8A+PvvvyGRSFCtWjWtx68vtPX73Lx5cwAo9FoWlGVmZooPtBLQ1rUOCQmBjY0N2rZtq3bMw8MDAHDjxo0yRvtuq4h7IZOoCubq6goAOHXqlNqxgrKCOiW18/LlS1y6dEnt2MmTJzVup7LS1nUG/pdAPX78GPv27cOgQYO0F6ie08Z1btasGSZOnFjoB3j9r8iJEydizJgxWo5ef2jr97ng5h0dHa12rKBMJpOJDbNS0Na1zs7ORlpaGrKzs9WOJSUlAQCkUmlZQiVUwL1Qa5slkCg5OTlC48aNBalUKvz+++/K8jc3cntzT4ukpCTh9u3bQlJSkko7b24wplAolOXcbPM1bV3nuLg4wc7OTjAyMhIOHDjwtsLXG9q6zkUB94kSBEF71/n+/fuCVCoVatasKTx69Eilnfbt2wsAhDNnzpT7eHSZtq61l5eXAED45ptvVMqzsrKUx9atW1euY9EnJe0TpSv3QiZROiA0NFQwNjYWqlatKvj6+qq8UmDx4sUqdf39/QUAgr+/v1o7kyZN4mtfiqGN61zwKgJnZ2fB39+/0M+7Tlu/z4VhEvU/2rrOBTvBV69eXZg0aZLw2WefCTKZTAAgfPzxx29pNLpNG9f6999/FywsLAQAgpOTk+Dn5ydMmTJF+SoYR0dHITMz8y2OSvds3rxZGDt2rDB27FihY8eOAgChW7duyrKDBw8q6+rKvZBJlI64du2a0Lt3b8HKykowMzMTOnXqJPz0009q9Yr7xcnLyxO+//57wcHBQZBKpUL16tUFHx+fd3qn8n8r63UGUOKHtPP7XBgmUaq0dZ2PHDkidO/eXahatapgamoqODo6Cps2bSrn6PWLNq713bt3hfHjxwsNGzYUjI2NBTMzM6FNmzZCYGCg8PLly7cwCt02duzYYv/f+uY11ZV7oUQQBEF7k4NERERE7wYuLCciIiISgUkUERERkQhMooiIiIhEYBJFREREJAKTKCIiIiIRmEQRERERicAkioiIiEgEJlFEREREIjCJIqJ31rhx4yCRSPDgwYOKDoWI9BCTKCKqVB48eACJRKLyMTExQYMGDTBy5Ej88ccfFR0iEVUSRhUdABFReWjSpAlGjx4NAMjIyMDVq1exZ88e/PLLLwgNDcV7771XwRESkb5jEkVElZK9vT0CAgJUyr755hssWbIE8+bNw7lz5yomMCKqNDidR0TvjKlTpwIAIiIi1I79+OOPaNmyJUxNTWFnZ4fAwEDk5+er1JHL5VixYgVcXV1Rt25dmJiYoG7duhgzZgxiY2PV2szKysJ3332Hdu3awcrKClWrVkWTJk0wYsQI/Pnnn2r1Dx8+DE9PT1hbW8PU1BStW7fGt99+i7y8PC1dASLSJiZRRPTOkEgkhZbPnj0b/v7+cHZ2xuTJkwEAAQEBmD9/vkq927dvY8GCBTAzM8MHH3yA6dOno1OnTti9ezecnJwQHx+vUn/s2LGYNWsWAGD8+PH47LPP4OTkhHPnzuHGjRsqdefOnYvBgwfj7t278Pb2xqeffgpTU1PMnj0bw4cP19YlICJtEoiIKpG4uDgBgODl5aV2bN68eQIAwc3NTRAEQRg7dqwAQGjUqJHw5MkTZb2kpCShWrVqgoWFhaBQKJTlqampwvPnz9XaDQ0NFQwMDIRJkyap1JVIJEKnTp2E3Nxclfq5ubnCixcvlD+fOnVKACD06dNHePnypbI8Pz9f+OSTTwQAwv79+0t/MYioXHFNFBFVSjExMco1UQULyy9dugRTU1MsXbpUpe78+fNRp04d5c+2trYYNGgQduzYgb///htt2rQBAFhZWRXal7u7OxwcHHDmzBllmUQigSAIkEqlMDQ0VKlvaGiIatWqKX9ev349AGDjxo2oUqWKShvLly/Hxo0bsWfPHnh7e5f+QhBRuWESRUSVUmxsLAIDAwEAxsbGqFWrFkaOHImvv/5amRQV6Nixo9r59evXBwCkpqaqlIeFhWHNmjW4du0akpOTkZubqzxmYmKi/LOlpSV69+6NEydOoGPHjvDx8UH37t3RpUsXlXoAcPXqVZibm2Pr1q2FjsXMzAx37tzRfPBE9FYwiSKiSsnLywsnTpzQqG5hT5iMjF7/7/HNRd0///wzhg0bhqpVq8LLywsymQxVqlSBRCJBUFCQ2pqo/fv3Y+nSpdizZw/mzZsHALCwsMCECROwdOlS5VOnlJQU5ObmKpO+wrx8+VKjsRDR28MkiohIQwEBATA1NcWNGzfQtGlTlWN79+5Vq29ubo4lS5ZgyZIliIuLw7lz57BhwwasXbsWmZmZ2LhxI4DXT60kEgmSk5PfyjiISDv47TwiIg3FxsaiZcuWagnUkydPCt3i4E2NGjXChAkTcP78eVStWhVHjhxRHuvSpQueP3+Oe/fulUvcRFQ+mEQREWnIzs4OMTExePbsmbIsKysLU6ZMUVkbBQBJSUn47bff1Np48eIFFAoFzMzMlGXTpk0DAEyYMAHPnz9XO+fp06e4ffu2toZBRFrC6TwiIg1NnToVU6dORYcOHeDj44Pc3FycPn0agiCgXbt2uHXrlrLu48eP0aVLFzg4OKBjx46oV68enj9/jsOHDyMnJwdffvmlsm7v3r0xf/58LFq0CPb29ujduzfs7Ozw/PlzxMTE4OLFi1i8eDFatmxZEcMmoiIwiSIi0tBnn30GY2NjrFu3Dps3b0a1atXQr18/LF26FEOHDlWpK5PJEBAQgNDQUJw5cwbPnz+Hra0tOnbsCD8/P/Tq1Uul/sKFC/H+++/j+++/x9mzZ5Gamorq1aujUaNGCAgIwKhRo97mUIlIAxJBEISKDoKIiIhI33BNFBEREZEITKKIiIiIRGASRURERCQCkygiIiIiEZhEEREREYnAJIqIiIhIBCZRRERERCIwiSIiIiISgUkUERERkQhMooiIiIhEYBJFREREJAKTKCIiIiIRmEQRERERifD/AFjp5toSjN+qAAAAAElFTkSuQmCC", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Integrate the model\n", "energies = np.logspace(0.0, np.log10(3.0), 50)\n", "Gaussian.integrate(energies=energies, threads=1)\n", "\n", "# Plot the signal\n", "plotSignal( energies, Gaussian, title='Gaussian' , log=False)" ] }, { "cell_type": "markdown", "id": "7b88e50a", "metadata": {}, "source": [ "This model is not very complicated and is phase independent. We can build a more general Gaussian model that can be pulsed using the helper functions from the base `EmissionModel` class. Here is an implementation of such a model" ] }, { "cell_type": "code", "execution_count": 11, "id": "b6499984", "metadata": {}, "outputs": [], "source": [ "from xpsi import Parameter, EmissionModel \n", "class PulsedGaussianModel( EmissionModel ):\n", "\n", " \"\"\" Simple Gaussian line emission model.\"\"\"\n", "\n", " required_names = ['norm',\n", " 'E0',\n", " 'sigma',\n", " 'phase_shift']\n", " \n", " optional_names = ['oscillation_amplitude']\n", " \n", " def __init__(self, \n", " bounds,\n", " values,\n", " pulsed = False,\n", " num_leaves = 32,\n", " **kwargs):\n", "\n", " # Initiate the necessary parameters\n", " norm = Parameter('norm',\n", " strict_bounds = (0.0, np.infty),\n", " bounds = bounds.get('norm', None),\n", " doc = \"Flux of the Gaussian @E0 keV in [photon/cm^2/s]\",\n", " symbol = 'norm',\n", " value = values.get('norm', None))\n", " \n", " E0 = Parameter('E0',\n", " strict_bounds = (0.0, np.infty),\n", " bounds = bounds.get('E0', None),\n", " doc = \"Energy center of the Gaussian in [keV]\",\n", " symbol = r'$E_0$',\n", " value = values.get('E0', None))\n", " \n", " sigma = Parameter('sigma',\n", " strict_bounds = (1e-10, np.infty),\n", " bounds = bounds.get('sigma', None),\n", " doc = \"Energy width of the Gaussian in [keV]\",\n", " symbol = r'$\\sigma$',\n", " value = values.get('sigma', None))\n", " \n", " # Add more if pulsed\n", " self.is_pulsed = pulsed\n", " if self.is_pulsed:\n", "\n", " # Define oscillation amplitude parameter\n", " oscillation_amplitude = Parameter('oscillation_amplitude',\n", " strict_bounds = (0. , 1.0),\n", " bounds = bounds.get('oscillation_amplitude', None),\n", " doc = \"Amplitude of oscillation of the Gaussian\",\n", " symbol = 'A',\n", " value = values.get('oscillation_amplitude', None))\n", " \n", " # Define phase shift parameter values\n", " phase_shift_bounds = bounds.get('phase_shift', None)\n", " phase_shift_value = values.get('phase_shift', None)\n", "\n", " # Define the integration method\n", " self.integrate = self.integrate_pulsed\n", "\n", " else:\n", "\n", " # Define oscillation amplitude and phase shift parameters values\n", " oscillation_amplitude = None\n", " phase_shift_bounds = None\n", " phase_shift_value = 0.\n", "\n", " # Define the integration method\n", " self.integrate = self.integrate_phase_independent\n", "\n", " # Define phase shift\n", " phase_shift = Parameter('phase_shift',\n", " strict_bounds = (0. , 1.),\n", " bounds = phase_shift_bounds,\n", " doc = \"Phase shift of the Gaussian\",\n", " symbol = r'$\\Delta $\\phi_0$',\n", " value = phase_shift_value)\n", " \n", " # Set the value of num_leaves\n", " self._num_leaves = kwargs.pop('num_leaves', 32) if pulsed else 5 # Default to 5 so that energy integrator works\n", " self._phases = np.linspace(0.0, 1.0, int(self._num_leaves))\n", "\n", " # Initiate the parent class\n", " super(PulsedGaussianModel, self).__init__( norm, E0, sigma, oscillation_amplitude, phase_shift, **kwargs ) # prefix in kwargs\n", "\n", " def integrate_phase_independent(self, energies, threads, *args, **kwargs):\n", " gaussian = self.gaussian(energies)\n", " self.signal = self.buildPhaseIndependentSignal(gaussian) # Helper function to build the signal in a phase independent way\n", "\n", " def integrate_pulsed(self, energies, threads, *args, **kwargs):\n", " gaussian = self.gaussian(energies)\n", " self.signal = self.buildSinusoidalSignal(gaussian) # Helper function to build the signal with a sinusoidal dependence if needed\n", "\n", " def gaussian(self, energies):\n", " return self['norm'] * np.exp( -0.5 * np.power( (energies - self['E0']) / self['sigma'], 2.0 ) )" ] }, { "cell_type": "markdown", "id": "5c8d58c2", "metadata": {}, "source": [ "Now the pulsed Gaussian model can be instanciated again and then computed for a given set of parameters." ] }, { "cell_type": "code", "execution_count": 12, "id": "c8f2a757", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Creating parameter:\n", " > Named \"norm\" with fixed value 1.000e-05.\n", " > Flux of the Gaussian @E0 keV in [photon/cm^2/s].\n", "Creating parameter:\n", " > Named \"E0\" with fixed value 2.000e+00.\n", " > Energy center of the Gaussian in [keV].\n", "Creating parameter:\n", " > Named \"sigma\" with fixed value 1.500e-01.\n", " > Energy width of the Gaussian in [keV].\n", "Creating parameter:\n", " > Named \"oscillation_amplitude\" with fixed value 3.000e-01.\n", " > Amplitude of oscillation of the Gaussian.\n", "Creating parameter:\n", " > Named \"phase_shift\" with fixed value 2.000e-01.\n", " > Phase shift of the Gaussian.\n" ] } ], "source": [ "bounds = {}\n", "values = {'norm':1e-5, \n", " 'E0':2.0,\n", " 'sigma':0.15,\n", " 'phase_shift':0.2,\n", " 'oscillation_amplitude':0.3,\n", " }\n", "Gaussian = PulsedGaussianModel(bounds=bounds,\n", " values=values,\n", " num_leaves=64,\n", " pulsed=True)" ] }, { "cell_type": "code", "execution_count": 13, "id": "382e28e3", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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", 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Integrate the model\n", "energies = np.logspace(0.0, np.log10(3.0), 50)\n", "Gaussian.integrate(energies=energies, threads=1)\n", "\n", "# Plot the signal\n", "plotSignal( energies, Gaussian, title='Gaussian' , log=False)" ] }, { "cell_type": "markdown", "id": "b0b0989d", "metadata": {}, "source": [ "If we want to use this for inference, we need to convolute the integrated signal with the instrument response, and some data to fit. This is done under the hood by X-PSI, and you only need to specify your Emission model in the Likelihood. Let's load this. \n", "\n", "## Prepare X-PSI model\n", "\n", "To learn more on emission models, we need to prepare basic X-PSI structures. As these are not the primay focus of this tutorial, we skip precisions. If needed, see `XPSI_101` or `'Modeling` tutorials for more details on this part.\n", "\n", "### Load data, instrument files and signal\n", "\n", "First, load the dataset we want to model alongside the instrument files. Those are then linked together into a Signal. " ] }, { "cell_type": "code", "execution_count": 14, "id": "70b1df60", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Setting channels for event data...\n", "Channels set.\n", "Loading instrument response matrix from OGIP compliant files...\n", "Triming the response matrix because it contains rows with only 0 values.\n", " Now min_energy=0.15000000596046448 and max_energy=20.0\n", "Setting channels for loaded instrument response (sub)matrix...\n", "Channels set.\n", "An empty subspace was created. This is normal behavior - no parameters were supplied.\n", "Response matrix loaded.\n" ] } ], "source": [ "# Load data and instrument. We use txt here because it is lightweight but one should use FITS files if possible\n", "data = xpsi.Data(counts = np.loadtxt('../../examples/example_emission_model/synthetic_PL_pulsed_Gaussian_realisation.dat', dtype=np.double),\n", " channels=np.arange(30,301),\n", " phases=np.linspace(0.0, 1.0, 33),\n", " first=0, last=270,\n", " exposure_time=2e6,)\n", "\n", "NICER = xpsi.Instrument.from_ogip_fits(RMF_path='nicer_20170601v003.rmf',\n", " ARF_path='nicer_20170601v005.arf',\n", " datafolder='../../examples/examples_modeling_tutorial/model_data/',\n", " min_channel=30, max_channel=300)" ] }, { "cell_type": "code", "execution_count": 15, "id": "d88b429c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Creating parameter:\n", " > Named \"phase_shift\" with fixed value 0.000e+00.\n", " > The phase shift for the signal, a periodic parameter [cycles].\n" ] } ], "source": [ "# Make signal\n", "from xpsi.likelihoods.default_background_marginalisation import precomputation\n", "from xpsi.likelihoods._poisson_likelihood_given_background import poisson_likelihood_given_background\n", "\n", "class CustomSignal(xpsi.Signal):\n", "\n", " def __init__(self, **kwargs):\n", "\n", " super(CustomSignal, self).__init__(**kwargs)\n", "\n", " try:\n", " self._precomp = precomputation(self._data.counts.astype(np.int32))\n", " except AttributeError:\n", " print('Warning: No data... can synthesise data but cannot evaluate a '\n", " 'likelihood function.')\n", " \n", " self._null_poisson_background = np.ascontiguousarray( tuple( np.zeros((271,32)) ) )\n", "\n", " def __call__(self, *args, **kwargs):\n", " self.loglikelihood, self.expected_counts = \\\n", " poisson_likelihood_given_background(self._data.exposure_time,\n", " self._data.phases,\n", " self._data.counts,\n", " self._signals,\n", " self._phases,\n", " self._shifts,\n", " self._null_poisson_background,\n", " self._precomp,\n", " allow_negative=(False))\n", "\n", "signal = CustomSignal(data = data,\n", " instrument = NICER,\n", " background = None,\n", " interstellar = None,\n", " workspace_intervals = 1000,\n", " cache = True,\n", " epsrel = 1.0e-8,\n", " epsilon = 1.0e-3,\n", " sigmas = 10.0,\n", " support = None,\n", " tolerance = 1e-6,)" ] }, { "cell_type": "markdown", "id": "558509bf", "metadata": {}, "source": [ "Here, we setup the Poisson likelihood because we consider one case with only NICER data without background constraint. In this case it is important to use this likelihood as the likelihood with background maginalization will result in wrong parameter inference based on our preliminary test runs. To use the likelihood with background maginalization, it is preferrable to have some background constraints, as samples with the true input parameters could result in lower likelihood (by ~100 log units) than using fully different parameter vectors.\n", "\n", "### Spacetime and hotspot\n", "\n", "Here, we set up the spacetime and an ST hotspot model." ] }, { "cell_type": "code", "execution_count": 16, "id": "e63c8b18", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Creating parameter:\n", " > Named \"frequency\" with fixed value 2.000e+02.\n", " > Spin frequency [Hz].\n", "Creating parameter:\n", " > Named \"mass\" with bounds [1.000e+00, 2.000e+00].\n", " > Gravitational mass [solar masses].\n", "Creating parameter:\n", " > Named \"radius\" with bounds [4.430e+00, 1.600e+01].\n", " > Coordinate equatorial radius [km].\n", "Creating parameter:\n", " > Named \"distance\" with bounds [1.000e-01, 1.000e+01].\n", " > Earth distance [kpc].\n", "Creating parameter:\n", " > Named \"cos_inclination\" with bounds [0.000e+00, 1.000e+00].\n", " > Cosine of Earth inclination to rotation axis.\n" ] } ], "source": [ "# Spacetime\n", "bounds = dict(distance = (0.1,10.0), # distance in kpc\n", " mass = (1.0, 2.0), # mass with default bounds\n", " radius = (3.0 * gravradius(1.0), 16.0), # equatorial radius\n", " cos_inclination = (0.0, 1.0)) # (Earth) inclination to rotation axis\n", "values = dict(frequency=200.0) # Fixed spin frequency\n", "spacetime = xpsi.Spacetime(bounds=bounds, values=values)" ] }, { "cell_type": "code", "execution_count": 17, "id": "9c248d99", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Creating parameter:\n", " > Named \"super_colatitude\" with bounds [0.000e+00, 3.142e+00].\n", " > The colatitude of the centre of the superseding region [radians].\n", "Creating parameter:\n", " > Named \"super_radius\" with bounds [0.000e+00, 1.571e+00].\n", " > The angular radius of the (circular) superseding region [radians].\n", "Creating parameter:\n", " > Named \"phase_shift\" with bounds [-2.500e-01, 7.500e-01].\n", " > The phase of the hot region, a periodic parameter [cycles].\n", "Creating parameter:\n", " > Named \"super_temperature\" with bounds [3.000e+00, 7.600e+00].\n", " > log10(superseding region effective temperature [K]).\n" ] } ], "source": [ "# Hotspots\n", "bounds = dict(super_colatitude = (None, None), # latitude of the hot spot in radians, from north pole (default: 0) to south pole (default: pi)\n", " super_radius = (None, None), # radius of the hot spot, in radians (default: between 0 and pi/2 (half of the NS))\n", " phase_shift = (-0.25, 0.75), # longitude of the hot spot\n", " super_temperature = (None, None)) # temperature of the hot spot, default: 3.0 to 7.6, from very cold to very hot\n", "values = {} \n", "\n", "# a simple circular, simply-connected spot\n", "primary = xpsi.HotRegion(bounds=bounds,\n", " values=values, # no initial values and no derived/fixed values\n", " symmetry=True,\n", " omit=False,\n", " cede=False,\n", " concentric=False,\n", " sqrt_num_cells=32,\n", " min_sqrt_num_cells=10,\n", " max_sqrt_num_cells=64,\n", " num_leaves=64,\n", " num_rays=200,\n", " atm_ext=\"BB\", # default blackbody, other options: \"Num4D\" or \"user\"\n", " prefix='p') # unique prefix to identify the region, needed if >1 instances" ] }, { "cell_type": "code", "execution_count": 18, "id": "0ed2023c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Creating parameter:\n", " > Named \"mode_frequency\" with fixed value 2.000e+02.\n", " > Coordinate frequency of the mode of radiative asymmetry in the\n", "photosphere that is assumed to generate the pulsed signal [Hz].\n" ] } ], "source": [ "# Photosphere and star\n", "photosphere = xpsi.Photosphere(hot = primary, elsewhere = None,\n", " values=dict(mode_frequency = spacetime['frequency']))\n", "\n", "star = xpsi.Star(spacetime = spacetime, photospheres = photosphere)" ] }, { "cell_type": "markdown", "id": "afd4d9b7", "metadata": {}, "source": [ "## New emission models\n", "\n", "Now, we instantiate emission models. Let's use a pulsed power law and a gaussian. They can be instantiated like before.\n", "\n", "### Powerlaw" ] }, { "cell_type": "code", "execution_count": 19, "id": "42f3fb08", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Creating parameter:\n", " > Named \"norm\" with bounds [0.000e+00, 1.000e+00].\n", " > Normalization of the PowerLaw in photons/cm2/s/keV @ 1keV.\n", "Creating parameter:\n", " > Named \"gamma\" with bounds [1.000e+00, 2.000e+00].\n", " > Photon index of the PowerLaw.\n", "Creating parameter:\n", " > Named \"oscillation_amplitude\" with bounds [0.000e+00, 1.000e+00].\n", " > Amplitude of oscillation of the PowerLaw.\n", "Creating parameter:\n", " > Named \"phase_shift\" with bounds [0.000e+00, 1.000e+00].\n", " > Phase shift of the PowerLaw.\n" ] } ], "source": [ "bounds = {'norm':(0.0,1e0), \n", " 'gamma':(1.0,2.0), \n", " 'oscillation_amplitude':(0.0,1.0), \n", " 'phase_shift':(0.0,1.0)\n", " }\n", "values = {}\n", "PowerLaw = xpsi.PowerLaw(bounds=bounds,\n", " values=values,\n", " pulsed=True, # Requires the model to be pulsed\n", " num_leaves=128, # Number of phase bins to use for model computation\n", " prefix='pl'\n", " )" ] }, { "cell_type": "code", "execution_count": 20, "id": "093f6c73", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Creating parameter:\n", " > Named \"norm\" with bounds [0.000e+00, 1.000e+00].\n", " > Flux of the Gaussian @E0 keV in [photon/cm^2/s/keV].\n", "Creating parameter:\n", " > Named \"E0\" with bounds [1.000e+00, 3.000e+00].\n", " > Energy center of the Gaussian in [keV].\n", "Creating parameter:\n", " > Named \"sigma\" with bounds [1.000e-05, 1.000e+00].\n", " > Energy width of the Gaussian in [keV].\n", "Creating parameter:\n", " > Named \"phase_shift\" with fixed value 0.000e+00.\n", " > Phase shift of the Gaussian.\n" ] } ], "source": [ "bounds = {'norm':(0.0,1.0), \n", " 'E0':(1.0,3.0),\n", " 'sigma':(1e-5,1.0),\n", " }\n", "values = {}\n", "Gaussian = GaussianModel(bounds=bounds,\n", " values=values,\n", " prefix='gauss')" ] }, { "cell_type": "markdown", "id": "5303a8b5", "metadata": {}, "source": [ "### Prior and likelihood\n", "\n", "Now we make the prior and the likelihood. The `PowerLaw` model needs to be given in input to the likelihood." ] }, { "cell_type": "code", "execution_count": 21, "id": "e3956837", "metadata": {}, "outputs": [], "source": [ "# Prior\n", "class CustomPrior(xpsi.Prior):\n", " \"\"\" A custom (joint) prior distribution. \"\"\"\n", "\n", " __derived_names__ = ['compactness', ]\n", " __draws_from_support__ = 3\n", "\n", " def __init__(self):\n", " super(CustomPrior, self).__init__() # not strictly required if no hyperparameters\n", "\n", " def __call__(self, p = None):\n", " \"\"\" Evaluate distribution at ``p``\"\"\"\n", "\n", " temp = super(CustomPrior, self).__call__(p)\n", " if not np.isfinite(temp):\n", " return temp\n", "\n", " # based on contemporary EOS theory\n", " if not self.parameters['radius'] <= 16.0:\n", " return -np.inf\n", "\n", " ref = self.parameters.star.spacetime # shortcut\n", "\n", " # limit polar radius to try to exclude deflections >= \\pi radians\n", " R_p = 1.0 + ref.epsilon * (-0.788 + 1.030 * ref.zeta)\n", " if R_p < 1.76 / ref.R_r_s:\n", " return -np.inf\n", " \n", " # 2-surface cross-section have a single maximum in |z|\n", " # i.e., an elliptical surface; minor effect on support, if any,\n", " # for high spin frequenies\n", " mu = math.sqrt(-1.0 / (3.0 * ref.epsilon * (-0.788 + 1.030 * ref.zeta)))\n", " if mu < 1.0:\n", " return -np.inf\n", "\n", " ref = self.parameters # redefine shortcut\n", "\n", " return 0.0\n", "\n", " def inverse_sample(self, hypercube=None):\n", " \"\"\" Draw sample uniformly from the distribution via inverse sampling. \"\"\"\n", "\n", " to_cache = self.parameters.vector\n", "\n", " if hypercube is None:\n", " hypercube = np.random.rand(len(self))\n", "\n", " # the base method -a uniform sampling within the bounds- is useful, so to avoid writing that code again:\n", " _ = super(CustomPrior, self).inverse_sample(hypercube)\n", "\n", " ref = self.parameters # shortcut\n", "\n", " # flat priors in cosine of hot region centre colatitudes (isotropy)\n", " # support modified by no-overlap rejection condition\n", " idx = ref.index('p__super_colatitude')\n", " a, b = ref.get_param('p__super_colatitude').bounds\n", " a = math.cos(a); b = math.cos(b)\n", " ref['p__super_colatitude'] = math.acos(b + (a - b) * hypercube[idx])\n", "\n", " # restore proper cache\n", " for parameter, cache in zip(ref, to_cache):\n", " parameter.cached = cache\n", " \n", " return self.parameters.vector\n", " \n", " def transform(self, p, **kwargs):\n", " \"\"\" A transformation for post-processing. \"\"\"\n", "\n", " p = list(p) # copy\n", "\n", " return p" ] }, { "cell_type": "code", "execution_count": 22, "id": "100757ba", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "An empty subspace was created. This is normal behavior - no parameters were supplied.\n" ] }, { "data": { "text/plain": [ "Free parameters\n", "---------------\n", "mass: Gravitational mass [solar masses].\n", "radius: Coordinate equatorial radius [km].\n", "distance: Earth distance [kpc].\n", "cos_inclination: Cosine of Earth inclination to rotation axis.\n", "p__phase_shift: The phase of the hot region, a periodic parameter [cycles].\n", "p__super_colatitude: The colatitude of the centre of the superseding region [radians].\n", "p__super_radius: The angular radius of the (circular) superseding region [radians].\n", "p__super_temperature: log10(superseding region effective temperature [K]).\n", "pl__norm: Normalization of the PowerLaw in photons/cm2/s/keV @ 1keV.\n", "pl__gamma: Photon index of the PowerLaw.\n", "pl__oscillation_amplitude: Amplitude of oscillation of the PowerLaw.\n", "pl__phase_shift: Phase shift of the PowerLaw." ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Build prior and likelihood\n", "prior = CustomPrior()\n", "likelihood = xpsi.Likelihood(star = star, signals = signal,\n", " emission_models = PowerLaw, # Put here the emission model, or a list of emission models\n", " prior = prior,\n", " num_energies=64,\n", " threads=1,\n", " externally_updated=True)\n", "\n", "likelihood" ] }, { "cell_type": "markdown", "id": "110471ae", "metadata": {}, "source": [ "Alternatively, we can also use multiple emission models at once. You need to put them in a list. For instance:" ] }, { "cell_type": "code", "execution_count": 23, "id": "b2db92e4", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "An empty subspace was created. This is normal behavior - no parameters were supplied.\n" ] }, { "data": { "text/plain": [ "Free parameters\n", "---------------\n", "mass: Gravitational mass [solar masses].\n", "radius: Coordinate equatorial radius [km].\n", "distance: Earth distance [kpc].\n", "cos_inclination: Cosine of Earth inclination to rotation axis.\n", "p__phase_shift: The phase of the hot region, a periodic parameter [cycles].\n", "p__super_colatitude: The colatitude of the centre of the superseding region [radians].\n", "p__super_radius: The angular radius of the (circular) superseding region [radians].\n", "p__super_temperature: log10(superseding region effective temperature [K]).\n", "pl__norm: Normalization of the PowerLaw in photons/cm2/s/keV @ 1keV.\n", "pl__gamma: Photon index of the PowerLaw.\n", "pl__oscillation_amplitude: Amplitude of oscillation of the PowerLaw.\n", "pl__phase_shift: Phase shift of the PowerLaw.\n", "gauss__norm: Flux of the Gaussian @E0 keV in [photon/cm^2/s/keV].\n", "gauss__E0: Energy center of the Gaussian in [keV].\n", "gauss__sigma: Energy width of the Gaussian in [keV]." ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Build prior and likelihood\n", "prior = CustomPrior()\n", "likelihood = xpsi.Likelihood(star = star, signals = signal,\n", " emission_models = [PowerLaw, Gaussian], # Put here the emission model, or a list of emission models\n", " prior = prior,\n", " num_energies=64,\n", " threads=1,\n", " externally_updated=False)\n", "likelihood" ] }, { "cell_type": "code", "execution_count": 24, "id": "77d331b9", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Checking likelihood and prior evaluation before commencing sampling...\n", "Not using ``allclose`` function from NumPy.\n", "Using fallback implementation instead.\n", "Checking closeness of likelihood arrays:\n", "-4.0055272571e+04 | -4.0055272571e+04 .....\n", "Closeness evaluated.\n", "Log-likelihood value checks passed on root process.\n", "Checks passed.\n" ] }, { "data": { "text/plain": [ "'Log-likelihood value checks passed on root process.'" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Likelihood check\n", "p = [1.4, # mass\n", " 12.0, # radius \n", " 1.0, # distance\n", " 0.4, # cos_inclination\n", " 0.1, # p__phase_shift\n", " 0.9, # p__super_colatitude\n", " 0.2, # p__super_radius\n", " 6.15, # p__super_temperature\n", " 1e-3, # pl__norm\n", " 1.5, # pl__gamma\n", " 0.4, # pl__oscillation_amplitude\n", " 0.1, # pl__phase\n", " 5e-4, # gauss__norm\n", " 2.0, # gauss__E0\n", " 0.3, # gauss__sigma\n", " ]\n", "\n", "## Or check that you get the expected likelihood value\n", "likelihood( p=p, reinitialise=True )\n", "likelihood.check(None, [-40055.27257076219], 1.0e-6,\n", " physical_points=[p])" ] }, { "cell_type": "code", "execution_count": 25, "id": "7784a2f3", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0, 0.5, 'Counts')" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.plot( likelihood.signal.instrument.channel_edges[:-1], likelihood.signal.expected_counts.sum(axis=1))\n", "plt.xlabel('Channel energy [keV]')\n", "plt.ylabel('Counts')" ] }, { "cell_type": "markdown", "id": "a2c8fda0", "metadata": {}, "source": [ "You can access the signal from the emission models like you do for hot spots. The emission models signals are appended to the hot spot signals. These are in photons/cm2/s, and can be accessed like so:" ] }, { "cell_type": "code", "execution_count": 26, "id": "b3bf2be7", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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", 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "for i in range(3):\n", " plt.imshow( likelihood.signal.signals[i] )\n", " plt.colorbar()\n", " plt.show()" ] }, { "cell_type": "markdown", "id": "a81380de", "metadata": {}, "source": [ "These signals plotted here represent, in order, hot region, power law and gaussian. If you were to have a second hot region, it would show up as an extra plot here.\n", "\n", "Once the emission model is linked to the likelihood, it is possible to access the spacetime parameters values from the emission models, the same way as it is done in the prior, with `self.parameters`.\n", "\n", "Contrary to hot spot models, the flux is not divided by the square of the distance to the source in our case. If the user wishes to have such division occur, it can be done with something like this in the integrate method:\n", "\n", "```\n", "d_sq = self.parameters._star.spacetime.d_sq\n", "integrated_signal = integrated_signal / d_sq\n", "```\n", "\n", "Here is a short example on how to access it" ] }, { "cell_type": "code", "execution_count": 27, "id": "28bb20cb", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "9.521406127714657e+38\n", "9.521406127714657e+38\n" ] } ], "source": [ "for m in likelihood.emission_models:\n", " print( m.parameters._star.spacetime.d_sq )" ] }, { "cell_type": "markdown", "id": "d1e0f98d", "metadata": {}, "source": [ "## Sampling and Post-Processing\n", "\n", "Sampling and Post-Processing are the exact sames as without emission models. Do not forget to add your phase shift (and other necessary parameters) as wrapped parameters while sampling." ] }, { "cell_type": "code", "execution_count": 28, "id": "d15c0bb2", "metadata": {}, "outputs": [], "source": [ "wrapped_params = [0]*len(likelihood)\n", "wrapped_params[likelihood.index('p__phase_shift')] = 1\n", "wrapped_params[likelihood.index('pl__phase_shift')] = 1" ] }, { "cell_type": "markdown", "id": "799ed3ca", "metadata": {}, "source": [ "The following code block is commented as it will be long to run before you obtain satisfactory results." ] }, { "cell_type": "code", "execution_count": 29, "id": "e6e53bcb", "metadata": {}, "outputs": [], "source": [ "# likelihood.externally_updated = True\n", "# runtime_params = {'resume': False,\n", "# 'importance_nested_sampling': False,\n", "# 'multimodal': False,\n", "# 'n_clustering_params': None,\n", "# 'outputfiles_basename': './output/run_PL_Gauss/', # make ./Output directory manually\n", "# 'n_iter_before_update': 5,\n", "# 'n_live_points': 500,\n", "# 'sampling_efficiency': 0.8,\n", "# 'const_efficiency_mode': False,\n", "# 'wrapped_params': wrapped_params,\n", "# 'evidence_tolerance': 0.5,\n", "# 'verbose': True}\n", "# xpsi.Sample.run_multinest(likelihood, prior, **runtime_params)" ] }, { "cell_type": "markdown", "id": "4178bffe", "metadata": {}, "source": [ "## Synthesize data\n", "\n", "It can be interesting to synthesize data with your emission model to inspect what it looks like as seen through your instrument. It is also useful to test parameter recovery. Once again, this is done similarly as without the emission model." ] }, { "cell_type": "code", "execution_count": 30, "id": "9b99787a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Setting channels for event data...\n", "Channels set.\n", "Loading instrument response matrix from OGIP compliant files...\n", "Triming the response matrix because it contains columns with only 0 values.\n", " Now min_channel=9 and max_channel=1500\n", "Setting channels for loaded instrument response (sub)matrix...\n", "Channels set.\n", "An empty subspace was created. This is normal behavior - no parameters were supplied.\n", "Response matrix loaded.\n" ] } ], "source": [ "# Load data and instrument\n", "data = xpsi.Data(counts = np.ones((271, 32), dtype=np.double),\n", " channels=np.arange(30,301),\n", " phases=np.linspace(0.0, 1.0, 33),\n", " first=0, last=270,\n", " exposure_time=1.0,)\n", "\n", "NICER = xpsi.Instrument.from_ogip_fits(RMF_path='nicer_20170601v003.rmf',\n", " ARF_path='nicer_20170601v005.arf',\n", " datafolder='../../examples/examples_modeling_tutorial/model_data/')" ] }, { "cell_type": "code", "execution_count": 31, "id": "aea1b981", "metadata": {}, "outputs": [], "source": [ "# Make signal\n", "from xpsi.likelihoods._poisson_likelihood_given_background import poisson_likelihood_given_background\n", "from xpsi.likelihoods.default_background_marginalisation import precomputation\n", "from xpsi.tools.synthesise import synthesise_exposure as _synthesise_expo\n", "from astropy.io import fits\n", "\n", "class CustomSignal(xpsi.Signal):\n", "\n", " def __init__(self, **kwargs):\n", "\n", " super(CustomSignal, self).__init__(**kwargs)\n", "\n", " try:\n", " self._precomp = precomputation(self._data.counts.astype(np.int32))\n", " except AttributeError:\n", " print('Warning: No data... can synthesise data but cannot evaluate a '\n", " 'likelihood function.')\n", " \n", " self._null_poisson_background = np.ascontiguousarray( tuple( np.zeros((271,32)) ) )\n", "\n", " def __call__(self, *args, **kwargs):\n", " self.loglikelihood, self.expected_counts = \\\n", " poisson_likelihood_given_background(self._data.exposure_time,\n", " self._data.phases,\n", " self._data.counts,\n", " self._signals,\n", " self._phases,\n", " self._shifts,\n", " self._null_poisson_background,\n", " self._precomp,\n", " allow_negative=(False))\n", "\n", " def synthesise(self,\n", " exposure_time,\n", " data_BKG,\n", " instrument_name,\n", " backscal_ratio=1.0,\n", " name='synthetic',\n", " directory='./',\n", " seed=None,\n", " **kwargs):\n", "\n", " # Create or find directory\n", " try:\n", " if not os.path.isdir(directory):\n", " os.mkdir(directory)\n", " except OSError:\n", " print('Cannot create write directory.')\n", " raise\n", "\n", " # Rescale background\n", " rescaled_background = data_BKG / backscal_ratio\n", " expected_background_counts = rescaled_background.sum()\n", " background_txt = rescaled_background.flatten()\n", "\n", " # Make the phase resolved background (constant for all phases but needed for _synthesise_expo)\n", " background_syn = np.zeros((len(self._data.channels),len(self._data.phases)-1)) \n", " for j in range(len(self._data.phases)-1):\n", " background_syn[:,j] = background_txt/(len(self._data.phases)-1)\n", "\n", " # Synthesise\n", " self._expected_counts, synthetic, _ = _synthesise_expo(exposure_time,\n", " self._data.phases,\n", " self._signals,\n", " self._phases,\n", " self._shifts,\n", " expected_background_counts,\n", " background_syn,\n", " gsl_seed=seed)\n", "\n", " # Write expected counts\n", " kwargs = {'channels':self._data.channels,\n", " 'counts':self._expected_counts,\n", " 'filename':os.path.join(directory, name),\n", " 'instrument':instrument_name,\n", " 'exposure':exposure_time,\n", " 'backscale':1.0}\n", " self._write_EVT(**kwargs)\n", "\n", " # Write synthetic counts (Poisson realisation of expected counts)\n", " kwargs['counts'] = synthetic\n", " kwargs['filename'] += '_realization'\n", " self._write_EVT(**kwargs)\n", "\n", " def _write_EVT(self, \n", " channels,\n", " counts,\n", " filename,\n", " instrument,\n", " exposure, \n", " backscale ):\n", "\n", " # Create the header\n", " header = {\n", " 'INSTRUME': instrument, \n", " 'HDUCLAS1': 'EVENTS',\n", " 'HDUCLAS2': 'none',\n", " 'DATE': '2025-07-31',\n", " 'EXPOSURE': exposure,\n", " 'BACKSCAL': backscale,\n", " 'ANCRFILE': 'none',\n", " 'RESPFILE': 'none'\n", " }\n", "\n", " # Get the phase array\n", " phase_borders = np.linspace( 0., 1., counts.shape[1]+1 )\n", " phase_centers = (phase_borders[1:] + phase_borders[:-1]) / 2\n", " PI, PULSE_PHASE = [], []\n", "\n", " # Fill the arrays\n", " for i in range(counts.shape[0]):\n", " for j in range(counts.shape[1]):\n", " for k in range( int(counts[i,j]) ):\n", " PI.append( channels[i] )\n", " PULSE_PHASE.append( phase_centers[j] )\n", "\n", " # Create the columns\n", " cols = [\n", " fits.Column(name='PI', array=np.array(PI), format='1J'),\n", " fits.Column(name='PULSE_PHASE', array=np.array(PULSE_PHASE), format='D'),\n", " ]\n", "\n", " # Create a primary HDU (header/data unit) for the header info\n", " primary_hdu = fits.PrimaryHDU()\n", " bin_table = fits.BinTableHDU.from_columns(cols, name='EVENTS')\n", "\n", " # Set header keywords\n", " for key, value in header.items():\n", " bin_table.header[key] = value\n", "\n", " # Create the FITS file (PHA file)\n", " hdul = fits.HDUList([primary_hdu, bin_table])\n", "\n", " # Save to a PHA file\n", " hdul.writeto(filename+'.evt', overwrite=True)" ] }, { "cell_type": "code", "execution_count": 32, "id": "5bb8e60d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Creating parameter:\n", " > Named \"phase_shift\" with fixed value 0.000e+00.\n", " > The phase shift for the signal, a periodic parameter [cycles].\n", "An empty subspace was created. This is normal behavior - no parameters were supplied.\n" ] }, { "data": { "text/plain": [ "-70210.16386158185" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "signal = CustomSignal(data = data,\n", " instrument = NICER,\n", " background = None,\n", " interstellar = None,\n", " workspace_intervals = 1000,\n", " cache = True,\n", " epsrel = 1.0e-8,\n", " epsilon = 1.0e-3,\n", " sigmas = 10.0,\n", " support = None,\n", " tolerance = 1e-4,\n", " prefix='NICER')\n", "\n", "# Build prior and likelihood\n", "prior = CustomPrior()\n", "likelihood = xpsi.Likelihood(star = star, signals = signal,\n", " emission_models = [PowerLaw, Gaussian], # Put here the emission model, or a list of emission models\n", " prior = prior,\n", " num_energies=128,\n", " threads=1,\n", " externally_updated=False)\n", "\n", "p = [1.4, # mass\n", " 12.0, # radius \n", " 1.0, # distance\n", " 0.4, # cos_inclination\n", " 0.1, # p__phase_shift\n", " 0.9, # p__super_colatitude\n", " 0.2, # p__super_radius\n", " 6.15, # p__super_temperature\n", " 1e-3, # pl__norm\n", " 1.5, # pl__gamma\n", " 0.4, # pl__oscillation_amplitude\n", " 0.1, # pl__phase\n", " 5e-4, # gauss__norm\n", " 2.0, # gauss__E0\n", " 0.3, # gauss__sigma\n", " ]\n", "likelihood( p , reinitialise=True )" ] }, { "cell_type": "code", "execution_count": 33, "id": "7127c19f", "metadata": {}, "outputs": [], "source": [ "NICER_kwargs = dict(exposure_time=2e6,\n", " data_BKG=np.zeros((271,)),\n", " instrument_name='NICER',\n", " name='synthetic_PL_pulsed_Gaussian',\n", " directory='./data',\n", " seed=42)\n", "\n", "likelihood.synthesise(p, force=True, NICER=NICER_kwargs)" ] }, { "cell_type": "markdown", "id": "f0e79208", "metadata": {}, "source": [ "Now we can load this data to see if it was well synthesized" ] }, { "cell_type": "code", "execution_count": 34, "id": "2e65f60d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loading event list and phase binning...\n", "Setting channels for event data...\n", "Channels set.\n", "Events loaded and binned.\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "Text(0, 0.5, 'Counts')" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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IyOxUjSPj1BdERGQpzDqQff/99xg6dCg8PDxgZ2eHNm3aYMKECcjOzjbqp9VqMXPmTPj7+0OhUMDf3x8zZ86EVlv7B/rGjRsRGhoKBwcHuLm5YdSoUfjtt99q7Z+WlobIyEh4enrCzs4OXbt2xcqVK6HX1zzOqaSkBIsXL0ZISAiUSiW8vb0RFRWFvLy8+p0MC9LesKYlp74gIiLLYC11ATURQmD69On4/PPPERgYiPHjx8PJyQm5ubnYv38/srKy4OvrCwAoLCzEoEGDcPz4cQwdOhQTJkxAcnIy/vWvfyE2NhYHDhyAg4OD0f7ff/99zJ07F35+fpg+fToKCgqwefNmDBgwADExMQgPDzfqf+bMGfTv3x9FRUWIjIyEj48Pdu7ciVdffRUnTpzA559/btRfr9fjscceQ0xMDPr27YsnnngCGRkZiI6Oxp49e5CYmAgvL69GPYdNGb9pSUREFkeYoX//+98CgHj55ZdFeXl5tefLysoMP8+fP18AELNmzTLqU9U+f/58o/bU1FRhbW0tQkJChFqtNrSfOnVK2Nvbi8DAQKP9CyFEWFiYACC2b99uaCstLRVDhgwRAMS+ffuM+q9Zs0YAEOPHjxd6vb5a+8SJE004G0JoNBoBQGg0GpO2a6oKS8pEwOxtwv/tbeJqvk7qcoiIiOrFlM9vswtkRUVFwt3dXbRt27ZaMLqdXq8XKpVKODo6ioKCAqPniouLhZubm/Dx8TEKRXPmzBEAxLp166rtb/r06QKAiImJMbSlpKQIACIiIqJa/4SEBAFATJgwwai9X79+AoDIzMystk2HDh2EQqEQWq32jq/tVpYWyIQQIvyjWOH/9jYRn3pF6lKIiIjqxZTPb7MbQ7Znzx7cuHEDY8aMQUVFBb777jt88MEH+PTTT5Genm7UNy0tDbm5uRgwYEC125JKpRJhYWHIyckx2i4uLg4AMGzYsGrHHj58OABg//79deofGhoKV1dXo/46nQ6JiYlo164d/P39q20zbNgwlJSUICEh4S5nwrJ1+HMc2TmOIyMiIgtgdmPIqgbWW1tbo1u3bkhJSTE8J5fLMWPGDPzjH/8AUBnIACA4OLjGfVW1p6WlGf3s6OhY4xiuW/tUudMxZDIZgoKC8Ntvv6GoqAj29vbIyMiAXq+vU01Dhw6tsU9JSQlKSkoMv9/pywnNVQcvZ+w4mcdxZEREZBHM7grZlStXAAAff/wxnJ2dkZSUhPz8fMTHxyMkJAQff/wx/ve//wEANBoNAMDFxaXGfTk7Oxv1q/rZ1P6mHKM+Nd1u2bJlcHFxMTyqvsBgSdpz6gsiIrIgZhfIqqaRsLW1xQ8//IA+ffrA0dERDz74ILZs2QK5XI6PP/5Y4iob15w5c6DRaAyP26f5sARVtywzrhagtJxLKBERUfNmdrcsq64s9e7dGyqVyui5Tp06oW3btkhPT4darTb0re1qU9WtvluvVrm4uJjcvy7HqLryVZ+abqdQKKBQKGp93hL4uNrBWWkNra4cGVcLDFNhEBERNUdmd4WsXbt2AABXV9can69qLy4urnHM161qGv8VHByMgoKCGidora1/bccQQiA9PR0qlcrwpYLAwEDI5XKTaqLqZDKZ4bYlx5EREVFzZ3aBLCIiAgBw9uzZas+VlZUhPT0dDg4O8PT0RHBwMFQqFQ4ePIjCQuOFqHU6HeLj46FSqRAUFGRoHzRoEABg9+7d1fYfExNj1AeAYZLYmvonJSVBrVYb9VcqlQgNDUVKSgqysrKqbbN7924oFAr07du31nNAlTr8uabluTx+05KIiJo3swtkgYGBGDZsGNLT07F69Wqj5z744AOo1Wo8/vjjsLa2hkwmQ1RUFAoKCrB48WKjvsuWLcPNmzcRFRUFmUxmaJ8yZQqsra2xdOlSo9uKp0+fxpdffonAwEAMHjzY0B4SEoKwsDDExsZix44dhvaysjLMmzcPADBt2jSjY7/wwgsAgNmzZ0MIYWiPjo7G2bNnMW7cOMMtTqodZ+wnIiJLIRO3JgYzkZGRgf79++PKlSsYPXo02rdvj2PHjmHfvn3w9/dHQkKCYdqKwsJCDBw40LB0Uq9evZCcnIydO3eie/fuNS6dtHTpUsybNw9+fn4YO3YsCgsLsWnTJhQXFyMmJsZwla5K1dJJxcXFiIyMhEqlwq5du3DixAlERUVh1apVRv0rKiowevRow9JJ4eHhOH/+PLZu3QofHx8kJSWZtHSSVqs1jH2zpCB34g81Hl15EG72Njj67lCjYE1ERGTuTPr8buRJauvt4sWLYvLkycLLy0vY2NgIX19f8fLLL4vLly9X66tWq8WMGTOEr6+voe+MGTOMlka63YYNG0Tv3r2FnZ2dcHFxESNGjBBJSUm19k9JSRFjx44VHh4eQqFQiE6dOolPPvlEVFRU1Nhfp9OJRYsWiaCgIGFraytatWolpk6dKnJzc00+F5Y4U78QQujKykXQO9uF/9vbRPaNQqnLISIiMokpn99meYWMjFnqFTIAGP3Jrzidq8Wnz/bEiM7eUpdDRERUZ6Z8fpvdGDKiW3VtXTk9yIk/ap9Il4iIqKljICOz1tmnMpCdzGEgIyKi5ouBjMxal1sCGe+uExFRc8VARmatnZcTbKxkUBeV4Y+bxVKXQ0RE1CgYyMisKayt0O7PCWJP8bYlERE1UwxkZPa6+LgCAI5nqyWtg4iIqLEwkJHZ6+3vBgBIyrwhcSVERESNg4GMzF5oG3cAlbcsi0srJK6GiIio4TGQkdlr7WaHVs4KlFUI3rYkIqJmiYGMzJ5MJkOfgMqrZEd425KIiJohBjJqEqpuWzKQERFRc8RARk1C1RWyo1k3UV6hl7gaIiKihsVARk1Cu1ZOcFZao7C0Aslc15KIiJoZBjJqEuRyGcJCPAEA+85dlrgaIiKihsVARk3GkA4tAQC/nL0icSVEREQNi4GMmozwkJaQy4Bzefn442aR1OUQERE1GAYyajLcHGzR279ycP++c7xKRkREzQcDGTUpg/+8bbnnDMeRERFR88FARk3K8E5eAICD6deQp9FJXA0REVHDYCCjJqVNCweEBrhDL4Atv2dLXQ4REVGDYCCjJmdcH18AwNe/ZUOvFxJXQ0REdO8YyKjJGdXFG04Ka2TfKMahjOtSl0NERHTPGMioybGztcKYHj4AgE/3Z0hcDRER0b1jIKMm6YWwtrCxkuFA+jUc5lUyIiJq4hjIqEnydbc3jCX7554UCMGxZERE1HQxkFGT9UpEMGyt5TiSeRM/n7gkdTlERET1xkBGTZaXixJ/Cw8EACz66TRuFJZKXBEREVH9MJBRk/a38CC0a+WE64WlePfHU7x1SURETRIDGTVpttZyfDi2K6zkMmw/cQlfHs6SuiQiIiKTMZBRk9fN1xVzRrYHACzZfga/Z92UuCIiIiLTMJBRs/D8wDYY1cULZRUCL391FNcKSqQuiYiIqM4YyKhZkMlk+HBsN7T1dECeVofXNh1DeYVe6rKIiIjqhIGMmg1HhTU+e7YX7G2tcCjjOj7ekyp1SURERHViloEsICAAMpmsxsf06dOr9ddqtZg5cyb8/f2hUCjg7++PmTNnQqvV1nqMjRs3IjQ0FA4ODnBzc8OoUaPw22+/1do/LS0NkZGR8PT0hJ2dHbp27YqVK1dCr6/5KkxJSQkWL16MkJAQKJVKeHt7IyoqCnl5eaafEKqz4FZOWP5kVwDA/+IysOsUzzcREZk/mTDDeQICAgKgVqvx+uuvV3uud+/eePjhhw2/FxYWYuDAgTh+/DiGDh2Knj17Ijk5Gbt27UL37t1x4MABODg4GO3j/fffx9y5c+Hn54exY8eioKAAmzdvhk6nQ0xMDMLDw436nzlzBv3790dRUREiIyPh4+ODnTt34uTJk5g2bRo+//xzo/56vR6jRo1CTEwM+vbti/DwcGRkZOC7775D69atkZiYCC8vrzqfD61WCxcXF2g0Gjg7O9d5O0v23rYz+OLABTgqrPHjKwMQ6OkodUlERGRhTPr8FmbI399f+Pv716nv/PnzBQAxa9asGtvnz59v1J6amiqsra1FSEiIUKvVhvZTp04Je3t7ERgYKMrKyoy2CQsLEwDE9u3bDW2lpaViyJAhAoDYt2+fUf81a9YIAGL8+PFCr9dXa584cWKdXlsVjUYjAAiNRmPSdpastLxCPPXpIeH/9jbx0MdxokBXdveNiIiIGpApn99NOpDp9XqhUqmEo6OjKCgoMHquuLhYuLm5CR8fH6NQNGfOHAFArFu3rtr+pk+fLgCImJgYQ1tKSooAICIiIqr1T0hIEADEhAkTjNr79esnAIjMzMxq23To0EEoFAqh1Wrv+vqqMJDVz2VtseizZI/wf3ubmLH5mNTlEBGRhTHl89ssx5ABlWOw1q1bh/fffx//+9//kJycXK1PWloacnNzMWDAgGq3JZVKJcLCwpCTk4P09HRDe1xcHABg2LBh1fY3fPhwAMD+/fvr1D80NBSurq5G/XU6HRITE9GuXTv4+/tX22bYsGEoKSlBQkLCHV+7Vqs1epDpWjop8d9nekIuA747loMfjuVIXRIREVGNzDaQ5eXlYfLkyZg7dy7+9re/oXv37hg5ciSuXbtm6JOWlgYACA4OrnEfVe1V/ap+dnR0rHEMV239azuGTCZDUFAQcnNzUVRUBADIyMiAXq83qabbLVu2DC4uLoaHr69vrX3pzvoEuOO1IZXnfN4Pp3DxepHEFREREVVnloFs6tSpiIuLw9WrV6HVapGQkICRI0di165dePTRRw3rFWo0GgCAi4tLjfupGkBX1a/qZ1P7m3KM+tR0uzlz5kCj0Rge2dnZtfalu3slIgi9/d1QUFKOv399DGWcn4yIiMyMWQay+fPnY9CgQWjRogWcnJzQt29fbNu2DQMHDsThw4exY8cOqUtsVAqFAs7OzkYPqj9rKzlWjO8OJ6U1jl1U45Nfar86SUREJAWzDGQ1kcvlmDJlCgDg4MGDAP66ClXb1aaqsVe3Xq2q+vqpKf3rcoyq0FSfmqjxtXazx7InugAA/hubjuRstbQFERER3aLJBDIAaNGiBQAYxmvdbTxWTeO/goODUVBQUOMErbX1r+0YQgikp6dDpVIZvlQQGBgIuVxuUk10fzzcVYVHuqmgF8BbW5JRUl4hdUlEREQAmlggS0xMBFA5cSxQGWpUKhUOHjyIwsJCo746nQ7x8fFQqVQICgoytA8aNAgAsHv37mr7j4mJMeoDwDBJbE39k5KSoFarjforlUqEhoYiJSUFWVlZ1bbZvXs3FAoF+vbtW5eXTA1s0aOd4OFgi9TLBVi5L/3uGxAREd0HZhfIzpw5A7VaXa39wIED+Oc//wmFQoEnnngCQOW3HKOiolBQUIDFixcb9V+2bBlu3ryJqKgoyGQyQ/uUKVNgbW2NpUuXGt1WPH36NL788ksEBgZi8ODBhvaQkBCEhYUhNjbWaOxaWVkZ5s2bBwCYNm2a0bFfeOEFAMDs2bMNX0AAgOjoaJw9exbjxo3juDCJuDvY4r0xnQEA/xeXgVM5tX+5goiI6H4xu6WTFi5ciA8//BBDhgxBQEAAFAoFTp06hd27d0Mul+PTTz9FVFSUof/tSyf16tULycnJ2LlzZ61LJy1duhTz5s0zLJ1UWFiITZs2obi4GDExMYiIiDDqX7V0UnFxMSIjI6FSqbBr1y6cOHECUVFRWLVqlVH/iooKjB492mjppPPnz2Pr1q3w8fFBUlISl06S2MtfHcX2k5fQ3ssJP70yELbWZvdvEyIiauKa9NJJcXFxIjIyUgQFBQknJydhY2MjWrduLcaPHy8SExNr3EatVosZM2YIX19fYWNjI3x9fcWMGTOMlka63YYNG0Tv3r2FnZ2dcHFxESNGjBBJSUm19k9JSRFjx44VHh4eQqFQiE6dOolPPvlEVFRU1Nhfp9OJRYsWiaCgIGFraytatWolpk6dKnJzc007IYIz9TeGq/k60WPxbuH/9jbxz90pUpdDRETNkCmf32Z3hYyq4xWyxvFzci5e3XQM1nIZfnxlADqp+M1XIiJqOKZ8fvM+DVmsh7t6Y0QnL5TrBd769gQnjCUiIskwkJHFkslkeG9MZ7jY2eDMJS1W/Xpe6pKIiMhCMZCRRfN0UuDdhzsCAFbsTcP5qwUSV0RERJaIgYws3pM9ffBgcAuUlusx+7uT0Os5rJKIiO4vBjKyeDKZDO8/3gV2NlZIunADm45clLokIiKyMAxkRAB83e3xxrAQAMAHO84hT6OTuCIiIrIkDGREf5oyoA26+boiv6Qc7/54CpwRhoiI7hcGMqI/WcllWP5kF1jLZdhz5jJ2nKy+AD0REVFjYCAjukV7L2f8LTwQALDgp1NQF5VKXBEREVkCBjKi27w8OAhBLR1xraAUS7aflbocIiKyAAxkRLdRWFth+ZNdIJMBW37/A7+mXZW6JCIiauYYyIhq0MvfHRMf8AcAzPnuJIpKyyWuiIiImjMGMqJavDWiPVQuSvxxsxgf706VuhwiImrG6h3ITp8+jS+//BJardbQVlxcjJdeegk+Pj4IDg7GqlWrGqRIIik4Kqyx9IkuAIDogxdwPFstbUFERNRs1TuQLV26FLNnz4aTk5Oh7Z133sFnn32G/Px8XLx4EdOnT8cvv/zSIIUSSSGiXUuM6a6CXgBvbzmB0nK91CUREVEzVO9AlpSUhIiICMhkMgBAWVkZ1qxZg9DQUFy5cgUXLlyAp6cn/vWvfzVYsURSmP9IJ7g72CLlcj4+3Z8hdTlERNQM1TuQXb58GX5+fobfExMTkZ+fj+nTp0OpVEKlUuGxxx5DcnJygxRKJBV3B1sseKQjAGDlvnSkX8mXuCIiImpu6h3IrKysUFJSYvj9119/hUwmQ0REhKHNw8MD165du7cKiczAo91UiGjnidIKPWZvPQm9nssqERFRw6l3IAsICEBsbKzh9y1btqBNmzbw9/c3tOXk5MDDw+PeKiQyAzKZDEse7wIHWyv8lnUTGxKzpC6JiIiakXoHsueeew7Jycl44IEHEBYWhuPHj2PChAlGfY4ePYrg4OB7LpLIHPi42mHWiPYAgOU7zyFHXSxxRURE1FzUO5C98soreOqpp3DkyBEcOHAAw4cPxzvvvGN4/siRIzh9+jQGDx7cIIUSmYPnHvBHL383FJZWYN73JyEEb10SEdG9k4l7/ETRarWQyWRG018AwLVr15CTk4OAgAC4uLjcU5GWTqvVwsXFBRqNBs7OzlKXY/HSr+Rj1L8PoLRCj3+P747HuvtIXRIREZkhUz6/632FLD4+HhcvXoSzs3O1MAYALVq0gIeHB79lSc1OUEsnvDI4CACw6OczuFFYKnFFRETU1NU7kEVERGDt2rV37PPVV18ZfeuSqLmYPigQ7Vo54UZhKRb/fFrqcoiIqImrdyCry51OvV5vmDiWqDmxtZZj+diukMuAH47nIjblitQlERFRE9aoi4unpaVx/Bg1W919XTFlQBsAwNzvTqKgpFziioiIqKmyNqXz1KlTjX7/4YcfkJmZWa1fRUUF/vjjD8THx2PEiBH3VCCROXtjWAh2n8lD9o1i/CMmBQsf7SR1SURE1ASZ9C1LufyvC2oymeyOty1lMhn69OmDDRs2ICgo6N6qtHD8lqV5O5B2Dc9+kQiZDNgyvT96+btJXRIREZkBUz6/TbpCduHCBQCV48fatm2L119/HX//+9+r9bOysoKbmxscHBxM2T1RkzQwuAXG9mqNLb//gbe3nsD21wZCYW0ldVlERNSEmBTIbl0WKTo6Gj169DBqI7JU80Z3QFzKFaRfKcB/YzMwc2iI1CUREVETUu9B/ZMmTULXrl0bshaiJsvV3tYwfux/celIycuXuCIiImpKTLpCVpOkpCQcOXIEarUaFRUV1Z6XyWR499137/UwRGZvdBdv/NAhF3vPXsbbW09g60v9YSXntC9ERFQHop6uX78uHnzwQSGXy4VMJqv1IZfL63sIg+XLlwsAAoA4fPhwjX00Go2YMWOG8PPzE7a2tsLPz0/MmDFDaDSaWvf71VdfiT59+gh7e3vh6uoqRo4cKY4cOVJr/9TUVPHUU0+JFi1aCKVSKbp06SL+85//iIqKihr763Q6sWjRIhEcHCwUCoXw8vISzz//vLh06ZJJr1+j0QgAd3wtZB4uqYtF5/m7hP/b28TqX89LXQ4REUnIlM/veq9lOXnyZHz55ZcIDw/HpEmT0Lp1a1hb13zBbdCgQfUOjGfPnkWPHj1gbW2NwsJCHD58GA888IBRn8LCQgwcOBDHjx/H0KFD0bNnTyQnJ2PXrl3o3r07Dhw4UO0LBu+//z7mzp0LPz8/jB07FgUFBdi8eTN0Oh1iYmIQHh5u1P/MmTPo378/ioqKEBkZCR8fH+zcuRMnT57EtGnT8Pnnnxv11+v1GDVqFGJiYtC3b1+Eh4cjIyMD3333HVq3bo3ExER4eXnV6RzwW5ZNy1eJWZj7/SnY2Vhh94ww+LrbS10SERFJwKTP7/qmPg8PD9G3b1+h1+vru4u7Ki8vF3369BGhoaHi2WefrfUK2fz58wUAMWvWrBrb58+fb9SempoqrK2tRUhIiFCr1Yb2U6dOCXt7exEYGCjKysqMtgkLCxMAxPbt2w1tpaWlYsiQIQKA2Ldvn1H/NWvWCABi/PjxRueoqn3ixIl1Pg+8Qta0VFToxVOfHhL+b28T4z87LCoqGu+/ESIiMl+mfH7Xe1C/TqdDWFhYoy6NtHz5ciQnJ2PNmjWwsqp5GgEhBFavXg1HR0fMnz/f6Lk5c+bAzc0NX3zxhdGcadHR0SgvL8fcuXONVhLo1KkTJk6ciIyMDOzbt8/Qnpqaivj4eERERGDUqFGGdhsbGyxduhQAsGrVKqNjV/3+wQcfGJ2jKVOmoEOHDvj666+Rn8+B382RXC7Dh092hZ2NFQ6fv461hzKlLomIiMxcvQNZjx49apylv6GcOnUKixYtwrx589CpU+2zn6elpSE3NxcDBgyodltSqVQiLCwMOTk5SE9PN7THxcUBAIYNG1Ztf8OHDwcA7N+/v079Q0ND4erqatRfp9MhMTER7dq1q3FakGHDhqGkpAQJCQm1vi5q2gJaOGDu6A4AgOW7ziH9CsM3ERHVrt6BbOHChfjpp58aJVSUl5dj8uTJ6NChA2bPnn3HvmlpaQCA4ODgGp+vaq/qV/Wzo6NjjWO4autf2zFkMhmCgoKQm5uLoqIiAEBGRgb0er1JNd2qpKQEWq3W6EFNzzN9/RAW4omScj1mfJ2Msgq91CUREZGZqve0Fzk5OXj44YcxaNAgPPPMM+jRo0etC4lPnDjRpH2///77SE5ORmJiImxsbO7YV6PRAECtx64aRFfVr+rnli1bmtS/rsewt7evV023WrZsGRYtWlTjc9R0yGSVty6Hr4jHyRwNVu5LxwxOGEtERDWodyCbPHmyYT3LtWvXYu3atdXGkwkhIJPJTApkycnJWLJkCd5880307NmzvuU1aXPmzMHMmTMNv2u1Wvj6+kpYEdWXl4sS743pjNc2HcPK2HQMbt8S3XxdpS6LiIjMTL0DWXR0dEPWYTBp0iQEBgZi4cKFdepfdRWqtqtNVbf7br1aVfUVVFP61+UYVVe+6lPTrRQKBRQKRY3PUdPzaDcV9py5jJ+TczHjm+PY8dqDUNpwrUsiIvpLvQPZpEmTGrIOg+TkZACVA/Jr0q9fPwDA999/jzFjxtx1PFZN47+Cg4Nx+PBh5OXlVRtHVlv/2o4hhEB6ejpUKpXhSwWBgYGQy+Um1UTN23uPdULi+es4f7UQy3edw4JHav+iChERWZ57XjqpoT3//PM1tsfHxyMtLQ2PPvooPD09ERAQAKAy1KhUKhw8eBCFhYVG37TU6XSIj4+HSqVCUFCQoX3QoEE4fPgwdu/eXe12akxMjKFPlapJYnfv3l3tSwZJSUlQq9UYOXKkoU2pVCI0NBQJCQnIysqq9k3L3bt3Q6FQoG/fvnU8K9TUudrb4sOxXTE5+giiD2ZiaIdW6B/UQuqyiIjIXNR3srOsrKw6PxrCpEmTGmxi2JSUlAabGPahhx7ixLBUZ+98d0L4v71N9Ht/r1AXlUpdDhERNaL7snSSXC6v06SwMpkM5eXl9TmEkcmTJ2PdunV1WjqpV69eSE5Oxs6dO2tdOmnp0qWYN2+eYemkwsJCbNq0CcXFxYiJiUFERIRR/6qlk4qLixEZGQmVSoVdu3bhxIkTiIqKqjYxbEVFBUaPHm20dNL58+exdetW+Pj4ICkpiUsnWaCi0nKM+vevyLxehNFdvLHy6R6NOrkyERFJx5TP73tay7KmDxKNRoPk5GRcuHABgwYNQkBAQIN8AeBOgazquIsWLcKWLVsMY8PGjh2LBQsW1Dp4/quvvsKKFStw+vRp2Nraol+/fli8eDH69OlTY//U1FTMnTsXsbGxKCgoQFBQEF588UW8/PLLkMurT+lWUlKC5cuXY/369bh48SLc3NwwevRoLFmyBN7e3nV+7QxkzcvxbDXG/u8QyvUCy57oggmhflKXREREjeC+BLI7EULg448/xocffoiEhAS0bdu2oQ9hURjImp/P9mdg2c5zUNrI8fMrAxHcyknqkoiIqIGZ8vld75n670Qmk+HNN99Ep06d8NZbbzXGIYiatGkPtsWDwS2gK9PjlY3HoCurkLokIiKSUKMEsiq9e/c2WqSbiCrJ5TJ8HNkNLRxtkXI5H4t+Pi11SUREJKFGDWQZGRkNMqCfqDlq6aTEv8Z1h0wGbErKxre/ZUtdEhERSaTBA5ler0d2djbee+89/Pjjj4aJXImougeDPfH6kMr1Lef9cAqnc2te3YGIiJq3ek8Me7dpL4QQcHV1xUcffVTfQxBZhFcHB+F49k3EplzFSxuO4udXBsLF3kbqsoiI6D6qdyALCwurMZDJ5XK4ubmhd+/emDJlClq1anVPBRI1d3K5DP8a1x0P/+cALt4owsxvjmPVxN6Qyzk/GRGRpWiUaS+oYXHaC8twKkeDJ/53CKXlerw5LASvDOZap0RETZnk014Qkek6+7hgyWOdAQAf70lFfOpViSsiIqL7pUEWFz906BCOHz9uSIDdu3fHgAEDGmLXRBYlso8vjl68ic1HsvHKxqP44eUBaOvpKHVZRETUyO4pkCUmJmLSpElIS0sDUDmQv2pcWXBwMKKjo/ktSyITLXy0E1Iv5+PoRTWi1v2G7/82gIP8iYiauXqPITt79ixCQ0NRWFiI4cOHIzw8HF5eXrh8+TLi4uKwa9cuODo6IiEhAR07dmzoui0Kx5BZnqv5JRjz34PIURdjYFALrJ3SB9ZWHGFARNSU3Je1LMePH4/vv/8e27Ztw9ChQ6s9v3fvXowePRqPP/44Nm/eXJ9D0J8YyCzTmVwtxn56CEWlFZjUzx+L/hxfRkRETcN9GdQfGxuLsWPH1hjGAOChhx7Ck08+idjY2PoegsiidVQ541/jugMA1h3OwoaELGkLIiKiRlPvQKbRaBAQEHDHPm3atIFGw5nHiepreCcvvDW8HQBgwU+ncTD9msQVERFRY6h3IFOpVEhISLhjn8TERKhUqvoegogA/C08EGO6q1ChF5i+/necy9NKXRIRETWwegeyxx57DHFxcXj33Xeh0+mMntPpdFiwYAFiY2Px2GOP3XORRJZMJpPhgye7IjTAHfkl5ZgSfQSXNMVSl0VERA2o3oP6b9y4gb59++L8+fPw8PBAaGgoWrVqhcuXL+PIkSO4evUq2rZti6SkJLi7uzd03RaFg/oJANRFpXjyf4eQcbUQ7b2c8O30fnBScjoMIiJzdV++ZQlUhrK33noLmzdvRnHxX/9iVyqVmDBhApYvX44WLVrUd/f0JwYyqpJ9owhP/O8QruaXYGBQC6yZ3Ae21pwOg4jIHN23QFalrKwM586dg1arhbOzM9q3bw8bG/7LvaEwkNGtTuVoEPnZYRSVVuCJnj74+KluhgmZiYjIfDTqtBdLly7FO++8g7KyMkObjY0NunTpggEDBqBLly4QQmDu3Ln44IMPTK+eiO6os48L/u+ZnrCSy/Dd0Rws35UidUlERHSPTApke/fuxfz58+Hh4XHHK2C2trbw8PDA3LlzsW/fvnsukoiMhbdriWWPdwEAfLo/A/8Xly5xRUREdC9MCmRffvkl3Nzc8Morr9y178svvwx3d3dER0fXuzgiql1kH1+8M6o9AODDXSlYfzhT2oKIiKjeTApkhw4dwkMPPQSFQnHXvgqFAg899BAOHTpU7+KI6M5eCAvEq4ODAADv/ngaW3//Q+KKiIioPkwKZLm5uWjbtm2d+7dp0waXLl0yuSgiqruZQ0MwuX8AAOCtLcnYdSpP2oKIiMhkJgUyuVxuNJj/bsrKyiCX8yv5RI1JJpNh/sMdMbZXa+gF8NqmY4hLuSJ1WUREZAKT0pJKpcKpU6fq3P/UqVPw8fExuSgiMo1cLsMHT3TByM5eKK3Q44Uvf0fsOYYyIqKmwqRA9uCDD2Lfvn3IzMy8a9/MzEzs27cPYWFh9a2NiExgbSXHv8f3wPBOrSpD2frfsPs0b18SETUFJgWyl19+GWVlZRg7diyuXbtWa7/r16/jqaeeQnl5OV566aV7LpKI6sbWWo6VT/fE6C7eKKsQ+NtXR7HzJMdxEhGZO2tTOvfs2ROvv/46VqxYgY4dO2L69OmIiIhA69atAQA5OTn45Zdf8Pnnn+Pq1auYOXMmevbs2SiFE1HNbKzk+Pf47rC2kuHH47l4ZdMxrNALPNJNJXVpRERUC5OXTqqahf+jjz6CXq+v8XkrKyvMmjULS5Ys4ZIuDYBLJ1F9VOgF3tqSjO+O5kAuAz4c2w1je7WWuiwiIotxX9ayzMjIQHR0NA4dOoS8vMpxKl5eXhgwYAAmT56MwMDA+uyWasBARvVVoRd457uT+Pq3bADAO6Pa44Uw/rdJRHQ/3PfFxalxMZDRvdDrBd7fcRarD1wAAEx7sA3mjOwAuZxXr4mIGlOjLi7e2NRqNV577TX069cPXl5eUCgU8PHxweDBg7F161bUlB+1Wi1mzpwJf39/KBQK+Pv7Y+bMmdBqtbUeZ+PGjQgNDYWDgwPc3NwwatQo/Pbbb7X2T0tLQ2RkJDw9PWFnZ4euXbti5cqVNd62BYCSkhIsXrwYISEhUCqV8Pb2RlRUlOFqItH9IpfLMO/hjoZlllb9egFvfJuMsoqa37tERHT/md0VsvT0dHTv3h0PPPAAgoKC4O7ujitXruDnn3/GlStXMG3aNHz++eeG/oWFhRg4cCCOHz+OoUOHomfPnkhOTsauXbvQvXt3HDhwAA4ODkbHeP/99zF37lz4+flh7NixKCgowObNm6HT6RATE4Pw8HCj/mfOnEH//v1RVFSEyMhI+Pj4YOfOnTh58mS1egBAr9dj1KhRiImJQd++fREeHo6MjAx89913aN26NRITE+Hl5VXnc8IrZNRQtv7+B2ZtPYEKvcCgEE/83zM94aAw6bs9RERURyZ9fgszU15eLsrKyqq1a7Va0bFjRwFAnDp1ytA+f/58AUDMmjXLqH9V+/z5843aU1NThbW1tQgJCRFqtdrQfurUKWFvby8CAwOrHT8sLEwAENu3bze0lZaWiiFDhggAYt++fUb916xZIwCI8ePHC71eX6194sSJJpwRITQajQAgNBqNSdsR1WTfucui/bydwv/tbWL0J/HikrpY6pKIiJolUz6/zS6Q3cmMGTMEAPHDDz8IIYTQ6/VCpVIJR0dHUVBQYNS3uLhYuLm5CR8fH6NQNGfOHAFArFu3rtr+p0+fLgCImJgYQ1tKSooAICIiIqr1T0hIEADEhAkTjNr79esnAIjMzMxq23To0EEoFAqh1Wrr/LoZyKihHc26IXou3i38394mQpfuESey1XffiIiITGLK57fZjSGrjU6nw759+yCTydCxY0cAleO6cnNzMWDAgGq3JZVKJcLCwpCTk4P09HRDe1xcHABg2LBh1Y4xfPhwAMD+/fvr1D80NBSurq5G/XU6HRITE9GuXTv4+/tX22bYsGEoKSlBQkJCHV85UcPr4eeGH14egJBWjrisLcFTnx3CDk4gS0QkGbMNZGq1GgsXLsT8+fMxffp0hISEIDk5GfPnz0dwcDCAykAGwPD77W7vV/Wzo6NjjWO4autf2zFkMhmCgoKQm5uLoqIiAJXTgej1epNqul1JSQm0Wq3Rg6ih+brbY+tL/RHezhO6Mj3+9tVRrNyXVuMXZ4iIqHGZ7WhetVqNRYsWGX63sbHBRx99hDfeeMPQptFoAAAuLi417qNqAF1Vv6qfW7ZsaVL/uh7D3t6+XjXdbtmyZUavnaixOCltsHpibyzdcRbRBzPxj92pSLlcgOVPdoG9rdn+74GIqNkx2ytkAQEBEEKgvLwcFy5cwOLFizF37lw8+eSTKC8vl7q8RjVnzhxoNBrDIzs7W+qSqBmztpJjwSOdsGRMZ1jLZfg5OReP//cQLlwrlLo0IiKLYbaBrIqVlRUCAgIwe/ZsLFmyBN9//z1WrVoF4K+rULVdbaq61Xfr1aqqr5+a0r8ux6i68lWfmm6nUCjg7Oxs9CBqbM8+4I9NLzwATycFUi7n49H/HMCeM5elLovqQQiBrOuFOPmHBmdytSgt55xzRObO7APZraoG1lcNtL/beKyaxn8FBwejoKCgxglaa+tf2zGEEEhPT4dKpTJ8qSAwMBByudykmojMRZ8Ad2x/dSB6+7shv6Qc0778Df+ISUGFnuPKmoJzeVq8+W0yery3B4M+isMjKw9g1Ce/osfi3Xj5q6M4l8fxqETmqkkFstzcXACAtXXl2Jbg4GCoVCocPHgQhYXGt1d0Oh3i4+OhUqkQFBRkaB80aBAAYPfu3dX2HxMTY9QHgGGS2Jr6JyUlQa1WG/VXKpUIDQ1FSkoKsrKyqm2ze/duKBQK9O3bt06vmeh+a+msxKYXHsDk/gEAgJWx6Zi4JhFXtDppC6NaXSsowcyvj2PEil+x5fc/oC4qg621HCoXJZyV1igsrcD2k5cw6t+/Yv6Pp6Arq5C6ZCK6jdkFsuPHj9d4u+/GjRt45513AAAjR44EUPktx6ioKBQUFGDx4sVG/ZctW4abN28iKioKMtlfa/ZNmTIF1tbWWLp0qdFxTp8+jS+//BKBgYEYPHiwoT0kJARhYWGIjY3Fjh07DO1lZWWYN28eAGDatGlGx37hhRcAALNnzzb6xlp0dDTOnj2LcePG8TYkmTUbKzkWPtoJ/x7fHXY2VjiYfh2jPvkV+1OvSl0a3Wbfuct46J/78d2xHMhkwOgu3vjmxX44tXA4Ds0ZguPzh+GnVwZgVBcv6AXw5eEsRH52GJc0xVKXTkS3MLulk15//XWsXr0aERER8Pf3h4ODA7KysrB9+3YUFBTgySefxDfffAO5vDJL3r50Uq9evZCcnIydO3fWunTS0qVLMW/ePMPSSYWFhdi0aROKi4sRExODiIgIo/5VSycVFxcjMjISKpUKu3btwokTJxAVFWUY01aloqICo0ePNlo66fz589i6dSt8fHyQlJTEpZOoyUi/UoBXNh7Fubx8AMD0QYF4Y1gIbKzM7t9zFkWvF/jnnlSsjK2cZ7GDtzOWPdEF3X1da91mf+pV/H3zMaiLyuDvYY+vX+gHLxflfaqYyPKY8vltdoHswIED+OKLL5CQkGCY38vd3R09e/bExIkTMX78eKMrXkDlAPpFixZhy5YtyMvLg5eXF8aOHYsFCxbUOnj+q6++wooVK3D69GnY2tqiX79+WLx4Mfr06VNj/9TUVMydOxexsbEoKChAUFAQXnzxRbz88suGcHirkpISLF++HOvXr8fFixfh5uaG0aNHY8mSJfD29jbpnDCQkdR0ZRVYsv0MNiRcBAD08HPFJ+N7wNfdXuLKLFNJeQXe+vYEfkquHMYxuX8A5oxqD4W11V23zb5RhGdWJ+LijSK0aeGAr194AC2dGcqIGkOTDmRUHQMZmYudJy9h1tYTyNeVw1lpjQ/HdsWIzqb9A4Puja6sAi+s/x3xqVdhLZfhgye7Ymyv1ibt44+bRRj3WQJy1MUI9HTA5hf6wdNJ0UgVE1kuUz6/ec+BiOpsZBdv7HjtQXT3dYVWV47pG45i9tYTKChp3nMDmovi0gpErfsN8alXYWdjhegpfUwOYwDQ2s0em6Y9AJWLEhlXC/HM6gTcKCxthIqJqK4YyIjIJL7u9vh2ej+8OKgtZDJg85FsjPx3PH7LvCF1ac1aYUk5pqxNwoH0a7C3tcLaKX3wYLBnvffn52GPjdMeQCtnBVIvF2DimkRoissasGIiMgUDGRGZzMZKjjkjO2DTtAfg42qH7BvFiPzsMJbvOsdJSBtBQUk5JkcnIeH8DTgqrLH++VD0betxz/sNaOGAr6IegIeDLU7laDElOgmFvNpJJAkGMiKqtwfaemDX6w9ibK/W0Avgf3EZGPPfg0j58xuZdO+0ujJM/CIRRzJvwklZGcZ6+bs32P6DWjpi/fN94WJng6MX1Yha9xuKShnKiO43BjIiuidOShv846lu+PTZXnB3sMWZS1o88p8D+Dw+A+UVvFp2LzTFZXjuiyQcvaiGi50Nvorqix5+bg1+nI4qZ6ybGgpHhTUOn7+OcZ8l4Eo+JwImup8YyIioQYzo7IVdrz+Iwe1borRCj/d3nMPj/3cIp3NrXteV7kxdVIpnVicgOVsNV/vKMNa1tWujHa+7ryvWPx8KdwdbnMzR4OFPDiAu5UqjHY+IjHHaiyaA015QUyKEwDe/ZWPp9rPQ6sphJZch6sE2eH1ICOxs7z5PFgE3CkvxzOpEnL2khbuDLTY83xcdVffnv/2s64V4ft1vSL9SAAB4uKs3ZgwNQaCn4305PlFzwnnImhkGMmqKruTrsOinM9h+8hIAwM/dHksf73xP3wy0BFe0Ojz3RRJSLuejhaMtvop6AO28nO5rDcWlFVi+6xzWHso0tPVr64FRXbzQ098NbVs4MlwT1QEDWTPDQEZN2d4zl/Huj6dwSVM5JmlkZy+8M6oDZ/mvwcXrRXj2i8pZ9Fs6KbBxWl8Etby/YexWZ3K1+OeeFOw9W/3WpbuDLVq72cHbRYlWzn89vJyV8PewR2s3u2qrqhBZGgayZoaBjJq6gpJy/CMmBesTslChF1BYy/FSeCBeCGsLe1trqcszCyl5+Xjui0RcyS+Bn7s9vorqazah9Y+bRfjxeC4Szl/H8Ww18nV3/xamk8Ia7b2d0NnHBWHBnnigrQevqpHFYSBrZhjIqLk4l6fFwp9OI+F85SSyLZ0UmDE0BE/1ag1rC16s/HDGdUzf8Ds0xWVo7+WEL6eGmu36kkIIaIvL8Ye6CDk3i5Gn1eGyVoc8TUnln1odsq4XoqzC+KNFYS1Hv0APPNZdhZGdvaG0YTij5o+BrJlhIKPmRAiBHSfz8MGus8i+UQwAaOvpgJlDQzCyszes5JZ1m2tz0kXM++EUyvUCPf1csWZyH7ja20pd1j0pLdcj42oBzuVpkXThJvanXEGu5q9pNFztbfBkz9Z49gF/tGnhIGGlRI2LgayZYSCj5qikvAIbEy/iP/vSDesotvV0wMvhQXi0uwo2zfyKWYVeYNmOs1h94AIA4JFuKnw0tmuzvHIkhEDq5QLsOpWHr49cNIQzuQwY08MHrw0ORgCDGTVDDGTNDAMZNWf5ujJ8ceACog9mGtZS9HG1w7MP+GNcH1+4OzTtq0U1uXi9CG9+m4ykP9f/nPFQCF4bEmQRg+Ar9AL7U69g/eEsxKZcBQBYyWV4sqcP3hzeDi2dzPNWLVF9MJA1MwxkZAkKSsqxISELq389j2sFlVfMbK3leKSrCk/1bo3QAHfIm/jtTCEENh/JxnvbzqCotAIOtlZYPrYrHu6qkro0SSRnq7Fib6ohmDkrrTF7ZAeM7+Pb5P+uiQAGsmaHgYwsia6sAj8n52Ld4UycytEa2lUuSjzWwwejOnujk8q5yX1gn8nV4v0dZ3Eg/RoAIDTAHR9HdjObb1JK6fesm1jw0ynD33cvfzcsf7IrglpyMlpq2hjImhkGMrJEQggcy1bj66Rs7Dh5Cfklf0214OmkQHiIJ8JCPNE7wA3eLnYSVlq78go9Es7fwLrDmdh79jKEAGyt5HhzeAieH9jW4r7AcCflFXqsO5yFj3enoKi0Ava2VlgypjOe6Nla6tKI6o2BrJlhICNLpyurwC9nr+Cn5Bz8mnYNRaUVRs97uyjRw88VwS2dENTSEYGejvByUcLVzqbWK2lCCBSVVuBaQQmu5pfgSn7ln5U/6yp/LihBga4cAoAQlYPQHZXWcLGzgYudDZyVf/755+9OSmuUlOtxWaPDmUtaJJy/jptFZYZjPtzVG28Nbwd/Dw5gr02uuhhvfpuMQxnXAQCRvVtj0aOdOYcZNUkMZM0MAxnRX0rKK3Dkwk3sO3cFSZnXcfZSPir0Nf9vTC4DXO1t4aCwglwmg5VMBr0Q0OrKoS0uQ3kt2zUkV3sbPNzVG5P7t+EtuDqq0Av8Z18a/v1LGoQA2ns5YfWk3mjtxtu71LQwkDUzDGREtSsqLUdytgYnc9TIuFKI9KsFOH+1wOjK1J0obeRo6aSEp5MCLZ0URn96OingrLRB5ZcfK8Ncvq4M2uJyaIrLoCkug7bqT13ln0obK3g4KNDOyxHdfd3Q08/Voie9vReH0q/htc3Hca2gBC0cFVgzuTe6tnaVuiyiOmMga2YYyIhMV1ahx82iUtwsLENhaTmEENALQAbASWkDZztrOCttYG9rZRHTTTRVuepiTF17BOfy8uGksMbaqaHo5e8mdVlEdcJA1swwkBGRJSsoKcfza48g8cINONhaIXpKKELbuEtdFtFdmfL5zevoRERk1hwV1oie0gf9Az1QWFqBSWuScPjPQf9EzQUDGRERmT17W2usmdwHDwa3QHFZBaauPYLkbLXUZRE1GAYyIiJqEpQ2Vlg1sbdRKMu8Vih1WUQNgoGMiIiaDKWNFf73bC909nHG9cJSPL/uCPJ1dftGLZE5YyAjIqImxVFRefvSy1mJjKuFeOObZOjvw5xyRI2JgYyIiJqclk5KfPpcL9haybH7zGWsPnBe6pKI7gkDGRERNUndfV2x4NGOAICPYlJwKkcjcUVE9cdARkRETdbToX4Y3qkVyioEXtt0DLqyirtvRGSGGMiIiKjJkslk+OCJrmjlrMD5a4X45Jc0qUsiqhcGMiIiatLcHGyx+LHOAIDP48/j7CWtxBURmY6BjIiImrzhnbwwopMXyvUCc78/Ca4KSE2N2QWynJwcrFixAsOGDYOfnx9sbW3h5eWFJ598EomJiTVuo9VqMXPmTPj7+0OhUMDf3x8zZ86EVlv7v5I2btyI0NBQODg4wM3NDaNGjcJvv/1Wa/+0tDRERkbC09MTdnZ26Nq1K1auXAm9Xl9j/5KSEixevBghISFQKpXw9vZGVFQU8vLyTDshRERUJwsf7QR7WyscvajGT8m5UpdDZBKzW1x89uzZWL58OQIDAzFo0CC0bNkSaWlp+OGHHyCEwKZNmxAZGWnoX1hYiIEDB+L48eMYOnQoevbsieTkZOzatQvdu3fHgQMH4ODgYHSM999/H3PnzoWfnx/Gjh2LgoICbN68GTqdDjExMQgPDzfqf+bMGfTv3x9FRUWIjIyEj48Pdu7ciZMnT2LatGn4/PPPjfrr9XqMGjUKMTEx6Nu3L8LDw5GRkYHvvvsOrVu3RmJiIry8vOp8Tri4OBFR3fw3Nh0fxaTAy1mJfW8Ogr2ttdQlkQUz6fNbmJmtW7eK+Pj4au3x8fHCxsZGuLu7C51OZ2ifP3++ACBmzZpl1L+qff78+UbtqampwtraWoSEhAi1Wm1oP3XqlLC3txeBgYGirKzMaJuwsDABQGzfvt3QVlpaKoYMGSIAiH379hn1X7NmjQAgxo8fL/R6fbX2iRMnmnBGhNBoNAKA0Gg0Jm1HRGRpikvLxYAPfhH+b28Tn+xNlbocsnCmfH6bXSC7k2HDhgkA4siRI0IIIfR6vVCpVMLR0VEUFBQY9S0uLhZubm7Cx8fHKBTNmTNHABDr1q2rtv/p06cLACImJsbQlpKSIgCIiIiIav0TEhIEADFhwgSj9n79+gkAIjMzs9o2HTp0EAqFQmi12jq/bgYyIqK6++HYH8L/7W2i84JdQl1YKnU5ZMFM+fw2uzFkd2JjYwMAsLauvASdlpaG3NxcDBgwoNptSaVSibCwMOTk5CA9Pd3QHhcXBwAYNmxYtf0PHz4cALB///469Q8NDYWrq6tRf51Oh8TERLRr1w7+/v7Vthk2bBhKSkqQkJBQ6+ssKSmBVqs1ehARUd080lWFdq2ckK8rx+e/ZkhdDlGdNJlAdvHiRezduxdeXl7o0qULgMpABgDBwcE1blPVXtWv6mdHR8cax3DV1r+2Y8hkMgQFBSE3NxdFRUUAgIyMDOj1epNqut2yZcvg4uJiePj6+tbal4iIjMnlMswcFgIAiD6YiZuFpRJXRHR3TSKQlZWV4bnnnkNJSQk+/PBDWFlZAQA0msplMlxcXGrcrmoAXVW/qp9N7W/KMepT0+3mzJkDjUZjeGRnZ9fal4iIqhvWsRU6qZxRVFqBtYcypS6H6K7MPpDp9XpMnToV8fHxmDZtGp577jmpS2p0CoUCzs7ORg8iIqo7mUyGl8IDAQDrDmeisKRc4oqI7sysA5kQAtOmTcOGDRvw7LPP4tNPPzV6vuoqVG1Xm6rGXt16tarq66em9K/LMapCU31qIiKihjeyszf8PeyhLirDpqSLUpdDdEdmG8j0ej2ef/55rFmzBhMmTMDatWshlxuXe7fxWDWN/woODkZBQUGNE7TW1r+2YwghkJ6eDpVKZfhSQWBgIORyuUk1ERFRw7OSy/BiWOVVsrWHMlGhN6tpN4mMmGUg0+v1iIqKQnR0NMaNG4f169cbxo3dKjg4GCqVCgcPHkRhYaHRczqdDvHx8VCpVAgKCjK0Dxo0CACwe/fuavuLiYkx6gPAMElsTf2TkpKgVquN+iuVSoSGhiIlJQVZWVnVttm9ezcUCgX69u17p1NAREQN4PEePnCxs8EfN4sRl3JF6nKIamV2gazqylh0dDSeeuopbNiwocYwBlSOEYiKikJBQQEWL15s9NyyZctw8+ZNREVFQSaTGdqnTJkCa2trLF261Oi24unTp/Hll18iMDAQgwcPNrSHhIQgLCwMsbGx2LFjh6G9rKwM8+bNAwBMmzbN6NgvvPACgMpVB8QtCyFER0fj7NmzGDduHMeFERHdB3a2Vojs3RoAsO5w9X8kE5kLs1s6aeHChVi0aBEcHR3x97//3TDn2K3GjBmD7t27A6i+dFKvXr2QnJyMnTt31rp00tKlSzFv3jzD0kmFhYXYtGkTiouLERMTg4iICKP+VUsnFRcXIzIyEiqVCrt27cKJEycQFRWFVatWGfWvqKjA6NGjjZZOOn/+PLZu3QofHx8kJSVx6SQiovsk63ohwv8RByGA2DfD0aaFw903ImoATXrppEmTJgkAd3xER0cbbaNWq8WMGTOEr6+vsLGxEb6+vmLGjBlGSyPdbsOGDaJ3797Czs5OuLi4iBEjRoikpKRa+6ekpIixY8cKDw8PoVAoRKdOncQnn3wiKioqauyv0+nEokWLRFBQkLC1tRWtWrUSU6dOFbm5uSafE87UT0R0b6ZEJwn/t7eJRT+dlroUsiCmfH6b3RUyqo5XyIiI7k1syhVMiT4CJ6U1Et8ZwkXH6b4w5fPb7MaQERERNbRBwZ7w97BHvq4cPxzLlbocomoYyIiIqNmTy2V47oHK9YW/PJwJ3hwic8NARkREFuGpXr5Q2shxLi8fRy+qpS6HyAgDGRERWQQXexuM7qICAGzmzP1kZhjIiIjIYkwI9QUAbDtxCVpdmcTVEP2FgYyIiCxGL383BLV0RHFZBX48zsH9ZD4YyIiIyGLIZDJMCPUDwNuWZF4YyIiIyKI80cMHtlZynM7V4uQfmrtvQHQfMJAREZFFcXOwxYjOlcvXbeRVMjITDGRERGRxqm5b/nQ8B4Ul5RJXQ8RARkREFuiBtu5o08IBhaUV2HaCg/tJegxkRERkcWQyGcb1qZwCY2NStsTVEDGQERGRhRrbqzVsrGRIzlbj7CWt1OWQhWMgIyIii9TCUYGhHVsB4BQYJD0GMiIisljj+1QO7v/uWA6KSyskroYsGQMZERFZrIFBLdDazQ75unLsOHlJ6nLIgjGQERGRxZLLZRj/5+D+zUd425Kkw0BGREQW7anevrCSy3Ak8ybSLudLXQ5ZKAYyIiKyaK2clRjcviUAYBOnwCCJMJAREZHFe7pv5eD+b3/PRgFn7icJMJAREZHFGxTsibaeDsjXlePb33iVjO4/BjIiIrJ4crkMUwa0AQBEH8xEhV5IXBFZGgYyIiIiAE/29IGrvQ0u3ijCnjN5UpdDFoaBjIiICIC9rTWe7esPAPhvbAaE4FUyun8YyIiIiP40dWAb2NlY4WSOBvtTr0pdDlkQBjIiIqI/uTvY4tkHKr9x+Z996bxKRvcNAxkREdEtpj3YFgprOX7PuonYlCtSl0MWgoGMiIjoFi2dlZg8IAAA8MHOc/zGJd0XDGRERES3+dugILjY2SD1cgG2/M55yajxMZARERHdxsXeBq8ODgIAfBSTAk1RmcQVUXPHQEZERFSDif0CEOjpgGsFpfgw5pzU5VAzx0BGRERUA1trOZaM6QIA2Jh0Eb9n3ZS4ImrOzDKQbdiwAS+++CJ69+4NhUIBmUyGtWvX1tpfq9Vi5syZ8Pf3h0KhgL+/P2bOnAmtVlvrNhs3bkRoaCgcHBzg5uaGUaNG4bfffqu1f1paGiIjI+Hp6Qk7Ozt07doVK1euhF6vr7F/SUkJFi9ejJCQECiVSnh7eyMqKgp5eZz9mYioqegX6IEnevpACGDG18eRr+OtS2ocMmGGk6wEBAQgKysLLVq0gIODA7KyshAdHY3JkydX61tYWIiBAwfi+PHjGDp0KHr27Ink5GTs2rUL3bt3x4EDB+Dg4GC0zfvvv4+5c+fCz88PY8eORUFBATZv3gydToeYmBiEh4cb9T9z5gz69++PoqIiREZGwsfHBzt37sTJkycxbdo0fP7550b99Xo9Ro0ahZiYGPTt2xfh4eHIyMjAd999h9atWyMxMRFeXl51Ph9arRYuLi7QaDRwdnau83ZERHTvNMVlGPXvX5GjLsbjPXzwz8hukMlkUpdFTYBJn9/CDO3Zs0dkZmYKIYRYtmyZACCio6Nr7Dt//nwBQMyaNavG9vnz5xu1p6amCmtraxESEiLUarWh/dSpU8Le3l4EBgaKsrIyo23CwsIEALF9+3ZDW2lpqRgyZIgAIPbt22fUf82aNQKAGD9+vNDr9dXaJ06cWPeTIYTQaDQCgNBoNCZtR0REDSPpwnXRZvY24f/2NrHu0AWpy6EmwpTPb7O8ZfnQQw/B39//rv2EEFi9ejUcHR0xf/58o+fmzJkDNzc3fPHFF0YzLUdHR6O8vBxz586Fi4uLob1Tp06YOHEiMjIysG/fPkN7amoq4uPjERERgVGjRhnabWxssHTpUgDAqlWrjI5d9fsHH3xg9K+oKVOmoEOHDvj666+Rn59fl1NBRERmoE+AO2aNaA8AWPTzGRxMvyZxRdTcmGUgq6u0tDTk5uZiwIAB1W5LKpVKhIWFIScnB+np6Yb2uLg4AMCwYcOq7W/48OEAgP3799epf2hoKFxdXY3663Q6JCYmol27djWGymHDhqGkpAQJCQl1f6FERCS5F8PaYkx3FSr0Ai+u/x3J2WqpS6JmpMkHMgAIDg6u8fmq9qp+VT87OjrWOIartv61HUMmkyEoKAi5ubkoKioCAGRkZECv15tU0+1KSkqg1WqNHkREJC2ZTIYPnuyKB9q6o6CkHJOik3AqRyN1WdRMNOlAptFU/odw663HW1UNoKvqV/Wzqf1NOUZ9arrdsmXL4OLiYnj4+vrW2peIiO4fpY0VVk/qgx5+rlAXlWH85wk4kMbbl3TvmnQga67mzJkDjUZjeGRnc9kOIiJz4aiwxpdTQ9GvrQcKSsoxOToJ6w9nGo1XJjJVkw5kVVeharvaVHWr79arVVVfPzWlf12OUXXlqz413U6hUMDZ2dnoQURE5sNJaYO1U/vg0W4qlOsF3v3xNP6++TjURaVSl0ZNVJMOZHcbj1XT+K/g4GAUFBTUOEFrbf1rO4YQAunp6VCpVIYvFQQGBkIul5tUExERNT0Kayv8e3x3vDOqPeQy4KfkXAz9Vzy++S0bFXpeLSPTNPlAplKpcPDgQRQWFho9p9PpEB8fD5VKhaCgIEP7oEGDAAC7d++utr+YmBijPgAMk8TW1D8pKQlqtdqov1KpRGhoKFJSUpCVlVVtm927d0OhUKBv374mvFIiIjJHMpkML4QFYutL/dHW0wFX80swa8sJjFgRj5jTebyNSXXWpAOZTCZDVFQUCgoKsHjxYqPnli1bhps3byIqKqraXGDW1tZYunSp0W3F06dP48svv0RgYCAGDx5saA8JCUFYWBhiY2OxY8cOQ3tZWRnmzZsHAJg2bZrRsV944QUAwOzZs6vNgXb27FmMGzeOtyGJiJqRHn5u2PHag3hnVHu42Nkg7UoBXlz/O0as+BXrDmVCU8wll+jOzHLppNWrV+PAgQMAgJMnT+Lo0aMYMGCA4UrXmDFjMGbMGADVl07q1asXkpOTsXPnzlqXTlq6dCnmzZtnWDqpsLAQmzZtQnFxMWJiYhAREWHUv2rppOLiYkRGRkKlUmHXrl04ceIEoqKiqk0MW1FRgdGjRxstnXT+/Hls3boVPj4+SEpK4tJJRETNlKa4DKviz2PNwQsoKq0AACht5BjV2Rsju3jjweAWUNpYSVwl3Q+mfH6bZSCbPHky1q1bV+vzCxYswMKFCw2/azQaLFq0CFu2bEFeXh68vLwwduxYLFiwoNbB81999RVWrFiB06dPw9bWFv369cPixYvRp0+fGvunpqZi7ty5iI2NRUFBAYKCgvDiiy/i5Zdfhlxe/UJjSUkJli9fjvXr1+PixYtwc3PD6NGjsWTJEnh7e5t0PhjIiIiaHk1xGX44loONiReRcvmv1Vnsba0Q3s4Twzt5IaJ9SzgrbSSskhpTkw9kZIyBjIio6RJC4OjFm9h24hJiTuUhV6MzPGdjJUO/wBYY1rEVhnVshZbOSgkrpYbGQNbMMJARETUPQgiczNEg5nQedp7Kw/mrxl9I6+HniuGdvPBwV2+0drOXqEpqKAxkzQwDGRFR85R+pQC7z+Rh9+nLOH7b2pg9/VzxaDcVRnX1RksnXjlrihjImhkGMiKi5u+yVofdZy5jx4lLSLhwHVWfznIZ0C/QA490VWFkZ2+42HPMWVPBQNbMMJAREVmWy1odtp+4hJ+Sc42unNlYyRAW7IlHu6vwUIdWcFBYS1ck3RUDWTPDQEZEZLmybxThp+Rc/Jyci3N5f31bU2kjx5D2rfBIN2+Et2vJqTTMEANZM8NARkREAJB2OR8/J+fip+RcZF4vMrQ7KqwxrGMrPNJNhYHBLWBj1aTnfW82GMiaGQYyIiK6lRACp3O1+PnPK2e3TqXham+DkZ298EhXFfq29YCVXHaHPVFjYiBrZhjIiIioNnq9wLHsm/g5+RK2nbiEawUlhuc8nRQY2dkLwzp6oW9bd145u88YyJoZBjIiIqqLCr1A4vnr+PlELnaczDNaQ9NJaY3B7VtiaMdWGBTiCSeuENDoGMiaGQYyIiIyVWm5HgfSryLm1GX8cu4yrhWUGp6rWiFgaMdWGNqhFbxcOM9ZY2Aga2YYyIiI6F5U6AWOXbyJPWcuY8+Zyzh/zXiFgE4qZwxu3xLh7Vqiu68rx501EAayZoaBjIiIGlL6lYI/w1kejmWrcWsScHewxaAQT4S388SgEE+42ttKV2gTx0DWzDCQERFRY7maX4L9qVcRe+4K4tOuIl9XbnhOLgN6+bshvF1LDG7fEu29nCCT8epZXTGQNTMMZEREdD+UVejxe9ZNxKZcQey5K0i9XGD0vLeLEuHtPPFgsCf6B3rw6tldMJA1MwxkREQkhewbRYj78+rZoYxr0JXpDc/JZEAXHxcMCGqBB4NaoFeAGxTWXC3gVgxkzQwDGRERSU1XVoHD568jPvUqDqZfq3b1TGkjRw9fN/Twc0UPPzd093WFp5NComrNAwNZM8NARkRE5uayVoeD6ddwIO0aDqRfw5X8kmp9WrvZoaO3M9p4OiCwhSPaejqgracj3B0s41YnA1kzw0BGRETmTAiB9CsF+D3rJo5nq3HsohqpV/JRW8JwsLVCKxclvJwrH61clPB0VMDD0RZu9rZwd/jr0ZQXTWcga2YYyIiIqKnJ15Xh5B8apF0pQMbVApy/WojzVwuM1t2sC3tbK6OA5v5nYHP783c3exu42NnC1d6m8mFnC6WN3Cy+DcpA1swwkBERUXNRXFqBXE0xLmt0yNPqcFlbgstaHa4VlOBGYanhcbOoFGUV9YsottZyuNr9FdBc7G3gamcDlz/bXOxtjZ53tbeBm4MtHBXWDfpaTfn8btgjExEREd2Bna0VAj0dEejpeMd+Qgjkl5TjZmEprheWGv15a2hTF5VBXVwGdVEZNMWVIa60XI8r+SU1jmurzfBOrfDZc73v9eXVGwMZERERmR2ZTAZnpQ2clTbw93Co0zZCCBSVVvwZ0EqhuSWs3SwqhfbPn9XFpX8GuMqHuqgMrnbSftGAgYyIiIiaBZlMBgeFNRwU1vBxtTNp2wq9tCO45JIenYiIiMgMSL2gOgMZERERkcQYyIiIiIgkxkBGREREJDEGMiIiIiKJMZARERERSYyBjIiIiEhiDGREREREEmMgIyIiIpIYAxkRERGRxBjIiIiIiCTGQEZEREQkMQYyIiIiIokxkBERERFJzFrqAujuhBAAAK1WK3ElREREVFdVn9tVn+N3wkDWBOTn5wMAfH19Ja6EiIiITJWfnw8XF5c79pGJusQ2kpRer0dubi6cnJwgk8mkLqfBabVa+Pr6Ijs7G87OzlKX0+TxfDYcnsuGxfPZcHguG1ZjnU8hBPLz86FSqSCX33mUGK+QNQFyuRytW7eWuoxG5+zszP+xNCCez4bDc9mweD4bDs9lw2qM83m3K2NVOKifiIiISGIMZEREREQSYyAjySkUCixYsAAKhULqUpoFns+Gw3PZsHg+Gw7PZcMyh/PJQf1EREREEuMVMiIiIiKJMZARERERSYyBjIiIiEhiDGREREREEmMgo0Zx5MgRjBo1Cm5ubnBwcEBoaCg2btxY5+3j4uIgk8lqfSQkJDRi9eZjw4YNePHFF9G7d28oFArIZDKsXbvW5P3o9XqsXLkSXbt2hZ2dHTw9PREZGYm0tLSGL9qMNcT55HsTyMnJwYoVKzBs2DD4+fnB1tYWXl5eePLJJ5GYmGjSvvjebLjzyfdmJbVajddeew39+vWDl5cXFAoFfHx8MHjwYGzdurVO60pWuZ/vT87UTw0uLi4Ow4cPh62tLcaPHw8XFxd89913eOaZZ5CZmYl33nmnzvsaNGgQwsPDq7VbwsoFADBv3jxkZWWhRYsW8Pb2RlZWVr32M336dKxatQodO3bEq6++isuXL+Prr7/G7t27cejQIXTs2LGBKzdPDXU+Act+b/7nP//B8uXLERgYiKFDh6Jly5ZIS0vDDz/8gB9++AGbNm1CZGRknfbF92bDnk/Ast+bAHDt2jWsWbMGDzzwAMaMGQN3d3dcuXIFP//8M8aOHYtp06bh888/r9O+7uv7UxA1oLKyMhEYGCgUCoU4evSooV2r1YpOnToJa2trkZqaetf9xMbGCgBiwYIFjVit+duzZ4/IzMwUQgixbNkyAUBER0ebtI99+/YJAOLBBx8UOp3O0L53714hk8lEWFhYQ5Zs1hrifPK9KcTWrVtFfHx8tfb4+HhhY2Mj3N3djd5rteF7s1JDnU++NyuVl5eLsrKyau1arVZ07NhRABCnTp26637u9/uTtyypQe3btw8ZGRl4+umn0aNHD0O7k5MT3n33XZSXlyM6OlrCCpuWhx56CP7+/ve0j1WrVgEAlixZYjTp4ZAhQzB8+HDEx8cjNTX1no7RVDTE+STgiSeewIMPPlit/cEHH0RERARu3LiBkydP3nU/fG9WaqjzSZWsrKxgbV39BqCTkxOGDx8OAEhPT7/rfu73+5OBjBpUXFwcAGDYsGHVnqtq279/f533l5aWhk8++QQffPABNm3ahGvXrjVInZYkLi4ODg4OGDBgQLXnqv7nZMrfCVXie7NmNjY2AFDjB+Lt+N68O1POZxW+N2um0+mwb98+yGSyOt1qvN/vT44howZVNdAxODi42nNubm5o0aKFSYMhN27caPRlADs7OyxatAhvvfXWvRdrAQoLC3Hp0iV07twZVlZW1Z6v+nuypAHUDYXvzeouXryIvXv3wsvLC126dLljX743786U83krvjcrqdVqrFixAnq9HleuXMGOHTuQnZ2NBQsW1PgZdSsp3p+8QkYNSqPRAABcXFxqfN7Z2dnQ5048PT3x0Ucf4ezZsygsLEROTg42bNgAd3d3zJo1C5999lmD1t1c1eXv49Z+dHd8b9asrKwMzz33HEpKSvDhhx/W+CF2K74378zU8wnwvXk7tVqNRYsW4b333sNnn32GvLw8fPTRR1iwYMFdt5Xi/ckrZGSWOnXqhE6dOhl+t7e3xzPPPINu3bqhV69eWLBgAaZNmwa5nP+moPuL783q9Ho9pk6divj4eEybNg3PPfec1CU1afU9n3xvGgsICIAQAhUVFcjOzsbmzZsxd+5cHDp0CN98841Jt4HvB8v4W6H7pupfE7X9q0Gr1db6L4666Ny5M/r27YvLly/XaVCmpavL38et/aj+LPW9KYTAtGnTsGHDBjz77LP49NNP67Qd35s1q+/5vBNLfW9WsbKyQkBAAGbPno0lS5bg+++/NwzYr40U708GMmpQd7qvfvPmTVy7du2u9+7vpkWLFgCAoqKie9qPJXBwcIC3tzcuXLiAioqKas/facwfmc7S3pt6vR7PP/881qxZgwkTJmDt2rV1vvrC92Z193I+78bS3pu1qfpyWdUX0GojxfuTgYwa1KBBgwAAu3fvrvZcVVtVn/ooLy/H0aNHIZPJ4OfnV+/9WJJBgwahsLAQBw8erPZcTEyMoQ/dG0t7b+r1ekRFRSE6Ohrjxo3D+vXr6zTO6VZ8b/6lIc5nbSztvXknubm5AOr2rdX7/v5s0FnNyOKVlZWJtm3bCoVCIY4dO2Zov3Vi2JSUFEP71atXxdmzZ8XVq1eN9nPo0CGh1+ur7fv1118XAMSIESMa9XWYo7tNZFrbubx1csOSkhJDu6VNvnm7+p5PvjeFqKioEJMnTxYAxFNPPVXjJJy34nvzzhrqfPK9WenYsWNCrVZXa79+/bro3r27ACDWr19vaDeX96dMCBMWdSKqg9jYWAwfPhwKhQITJkyAs7MzvvvuO1y4cAFLlizB3LlzDX0XLlyIRYsWYcGCBVi4cKGhPSAgADKZDP3794ePjw/UajXi4+ORkpICPz8/xMfHW8QEn6tXr8aBAwcAACdPnsTRo0cxYMAABAUFAQDGjBmDMWPGAKj9XALAtGnTsHr1anTs2BGjR482LP+hVCotZnkaoGHOJ9+bf50bR0dH/P3vf6/xasOYMWPQvXt3o/58b9asoc4n35uVXn/9daxevRoRERHw9/eHg4MDsrKysH37dhQUFODJJ5/EN998Y7gdbC7vT/P6igE1CxEREThw4AAWLFiAb775BqWlpejUqRPee+89PPPMM3Xax0svvYRdu3YhLi4O165dg7W1NYKCgjB37ly88cYbcHNza+RXYR4OHDiAdevWGbUdPHjQcAk9ICDAECDu5LPPPkPXrl3x2Wef4ZNPPoGjoyMeeeQRLF26FCEhIY1RullqiPPJ9yaQmZkJACgoKMDSpUtr7BMQEGAIEHfC92bDnU++NyuNHTsWGo0GCQkJiI+PR1FREdzd3TFw4EBMnDgR48ePh0wmq9O+7uf7k1fIiIiIiCTGQf1EREREEmMgIyIiIpIYAxkRERGRxBjIiIiIiCTGQEZEREQkMQYyIiIiIokxkBERERFJjIGMiIiISGIMZEREREQSYyAjolpNnjwZMpnMsLSLJQgICEBAQIDUZTQrCxcuhEwmMzxmz55t9Lw5nfPy8nKjWuu6xA7RvWIgI7Iwv//+O55//nkEBwfDwcEBdnZ2CAwMxHPPPYc9e/ZIXR41Y5MmTcKCBQvw0EMPNfqx+vXrB5lMhoSEhDv2O3XqFGQyGbp27QoAkMvlWLBgARYsWGARC3GT+eDi4kQWQq/X480338S//vUvWFtbY/DgwXj00UdhY2OD8+fPY/v27diwYQMWL16Md999V+pyqRmaPHkywsPD78uxnn/+eSQkJCA6OhoPPPBArf2++OILQ3+gMpAtXLgQABAXF4esrKxGr5UIYCAjshjz5s3Dv/71L3Tv3h1btmxBYGCg0fPFxcVYuXIlrl+/LlGFRA1n3LhxeP3117F582asWLECdnZ21fqUlZXhq6++gq2tLZ599lkJqiT6C29ZElmA9PR0fPjhh/Dw8MCuXbuqhTEAsLOzw1tvvYVFixbVuI//+7//Q4cOHaBUKuHv749FixZBr9cb9dFoNFi+fDkGDRoElUoFW1tbqFQqTJw4ERkZGdX2WTW2KC4uDt988w169uwJOzs7eHt747XXXkNxcbFR/7i4OMhkMixcuBBHjx7F8OHD4eTkBBcXFzz++OO1jnW7cOECoqKi4OfnB4VCAW9vb0yePLnBrn78+OOPGDJkCNzc3KBUKtG5c2f84x//QEVFhVG/tWvXQiaTYe3atfjll18wcOBAODg4wMPDA5MmTao1DJ84cQLjx4+Ht7c3bG1t4e/vj1dffbVa/8zMTMhkMkyePBnnzp3DE088gRYtWhiNAywqKsKsWbPg6+trqHXVqlVG5xYA8vPz4eTkhE6dOtVYU0VFBVQqFTw9PVFaWnpvJ7AWH330EWQyGUaMGIHCwkJDe13Ot5OTEyIjI6HVarF169Ya9//TTz/h6tWrGDNmDDw8PBrlNRDVmSCiZm/u3LkCgHjnnXdM2m7SpEkCgBg7dqxo0aKFmDx5snjttdeEn59fjfs7fPiwsLW1FcOHDxd/+9vfxFtvvSUeeeQRYWVlJdzd3UVmZqZR/wULFhj27+DgIJ5++mkxY8YM0aFDBwFAPP3000b9Y2NjBQAxevRoYW9vL0aNGiXeeOMNMXjwYAFABAYGiuLiYqNtEhIShIuLi7C2thaPP/64eOutt8RTTz0lrK2tRcuWLUVGRoZRf39/f+Hv71/nczRnzhwBQLRu3Vo8//zzYsaMGaJXr16G13Wr6OhoAUA88cQTwtbWVjz55JPijTfeEH369BEAxIABA6rt/8cffxQKhULY29uL8ePHi7feekuMHj1aABDBwcHixo0bhr4XLlww7MfFxUX0799fzJw5U0yePFnk5OSI8vJyERERIQCIbt26iVmzZomoqCjh5OQkHnnkEQFALFiwwLC/adOmCQDi4MGDNdYFQLzxxht3PUdVf8+xsbE1Pn/7Odfr9eKNN94wvAdKS0vrdb4PHDggAIiIiIgaj1t1HmNiYmp8ftCgQYIfk3S/8J1GZAHCw8MFALF3716TtqsKZG3atBG5ubmG9qtXrwpXV1fh5OQkSkpKDO1qtVpcv3692n727dsn5HK5iIqKMmqv+qB2cXER586dM7QXFRWJkJAQIZPJRE5OjqG9KpABEJs3bzba13PPPScAiE2bNhnaSktLRUBAgHBychLHjx836v/rr78KKysr8fDDDxu1mxLIdu/eLQCIkSNHisLCQkO7Xq8X06dPFwDEli1bDO1Vgcza2locOHDA0F5eXm74Ozp8+LCh/dq1a8LZ2Vm0bt1aZGVlGR1748aNAoB45ZVXDG1VgQyAePfdd6vVu3r1agFAPProo6KiosLQfvbsWaFUKqsFsiNHjggAYsqUKdX29eijjwoA4uzZs3c9T6YEsrKyMsPf5d///neh1+sN/Uw930II0a5dOyGTycSFCxeM2nNzc4WVlZXw8/MzOhe3YiCj+4m3LIksQF5eHgCgdevW9dr+3Xffhbe3t+H3Fi1a4LHHHkN+fj5SUlIM7S4uLnB3d6+2fUREBDp16oS9e/fWuP+///3vaNeuneF3Ozs7TJgwAUII/P7779X6h4WFYdy4cUZtU6dOBQAcOXLE0LZt2zZkZmZi1qxZ6Natm1H/gQMH4rHHHsOOHTug1Wrv9PJrtXLlSgDAZ599Bnt7e0O7TCbDBx98AJlMhk2bNlXb7umnn8aAAQMMv1tZWWHSpEnV6v/yyy+h1WqxbNky+Pn5Ge1jwoQJ6NmzJzZv3lxt/15eXpg3b1619g0bNgAA3nvvPcjlf/3vv3379obj36p3797o2bMnvvnmG+Tn5xva8/LysGPHDgwcOBDt27evtl19FRUV4bHHHsP69euxdOlSrFixwmjaifqc76lTp0IIgejoaKP2devWoaKiAlOmTDE6F0RS4aB+Irqrnj17VmurCndqtdqoPS4uDitWrEBiYiKuXbuG8vJyw3O2trb3vH9T+ldNeXDu3DnD2Khb5eXlQa/XIzU1Fb17966xtjtJSEiAg4OD4Zt6t7Ozs8O5c+fuuf6EhASkp6dX20an0+HatWu4du0aWrRoYWjv1q1bjec6OTkZDg4OhikebtW/f3989tln1dpffPFFvPjii9i0aRNeeOEFAJVj4crLyxEVFVWtf30VFxdjyJAhOHLkCFavXm341uOt6nO+J02ahLlz52LdunWGMYtVr6FqvB2ROWAgI7IAXl5eOHfuHHJycoyuRNWVi4tLtTZr68r/fdw6kPrbb7/FuHHj4OjoiOHDhyMgIAD29vaGgey1DaKv6/5N7X/jxg0AwFdffVXrawNgNGDcFDdu3EB5eXmtX4Sobd+m1v/f//73jnUUFhYaBbJWrVrV2E+r1cLX17fG52rb5umnn8Ybb7yB1atXGwLZmjVr4OLigqeeeuqOdZkiPz8fx44dg4eHBwYNGlRjn/qc71atWmH06NH48ccfsW/fPgwZMgQHDhxASkoKHnroIbOZkJaI12mJLEDV7bFffvmlUY+zcOFCKJVK/P777/j222/x0UcfYdGiRYb2+83Z2RkA8PPPP0NUjpmt8VFbAKjL/j08PO647wsXLtxz/SdPnrzjMW6fwLS22eWdnZ1x9erVGp+7fPlyje2Ojo54+umnceTIEZw4cQJxcXFIS0vDM888Y3Tb8F61bNkSP/74I7RaLcLDw2u8Iljf8111tW3NmjUAYLh9WdNVOCKpMJARWYDJkyfDysoKn3/+ea0fyFVKSkrqfZyMjAx06NABwcHBRu25ubk1TnvR2Pr27QsAOHz4cKPt//r160hLS2u0/QMNV3+3bt1QWFiIEydOVHvu0KFDtW734osvAgBWr15tuF3YkLcrqwwfPhw//vgjrl+/jkGDBlU7r/U936NGjYK3tze+//575OTk4JtvvoGbmxsef/zxhiyf6J4wkBFZgKCgIMyaNQvXrl3DyJEja7yKoNPp8M9//rPGsVZ15e/vj/T0dKOrLTqdDi+99JLRWLL75bHHHoOfnx/++c9/Ij4+vtrzZWVlOHDgQL33/9prrwGoHDhe0xxieXl5OHv2bL33P2XKFDg5OWHu3Lk4ffp0teeLioruujTQrZ555hkAlV/SuHUOuXPnzmHdunW1btezZ0/06tULGzZswNatW9GrVy/06NHDhFdSd8OGDcNPP/2EmzdvIjw8HKmpqYbn6nu+q740UVxcjHHjxqGgoADPPvssFApFo7wGovrgGDIiC7FkyRLodDr861//Qrt27TB48GB07twZNjY2uHDhAvbu3Yvr169jyZIl9T7Gq6++ildffRU9evTA2LFjUV5ejj179kAIgW7duiE5ObkBX9HdKRQKbNmyBSNHjsSgQYMwZMgQdO7cGQBw8eJF/Prrr/Dw8Khx4H1djBgxAu+++y7ee+89BAUFYcSIEfD398f169eRnp6OX3/9FUuWLEGHDh3qtX9PT09s2rQJTz31FLp164YRI0agffv20Ol0yMrKwv79+9G/f3/s2rWrTvubMmUK1q9fj59++gm9evXC8OHDcePGDWzevBlDhw7Fzz//XOs3Dl988UXDGLLGuDp2q6paHnnkEYSHhyM2Nhbt2rW7p/M9depUfPDBBzh48KDhdyJzwkBGZCHkcjn++c9/4umnn8b//vc/xMfHIz4+Hnq9Ht7e3hg2bBimTJmCoUOH1vsYL7/8MmxsbPCf//wHq1atgqurK0aPHo33338fkZGRDfhq6q5Pnz5ITk7GRx99hB07duDAgQNQKBTw8fHBmDFjMGHChHva/+LFixEWFoZPPvkEv/zyC9RqNTw8PNCmTRssXLjQcFWqvkaPHo1jx47ho48+wt69e7Fnzx44ODigdevWmDJliklL/lhZWWHHjh1YsGABNm3ahBUrViAwMBAff/wx3N3d8fPPPxvGrd1uwoQJhr/fp59++p5eU10MGTLEEMoiIiKwb98+tG/fvt7nOzg4GGFhYYiPj0fPnj3RvXv3Rn8NRKaQCSGE1EUQEZG05s2bh6VLl2LHjh0YOXJkteeTkpLQt29fTJkyxTA4vq4WLlyIRYsWITY29r4tLt4QwsPDsX//fvBjku4HjiEjIrIgly5dqtZ25swZfPLJJ3B1da31G6f/+Mc/AADTp0+v97EjIiIgk8kwe/bseu+jsZWXl0Mmk0Emk2H//v1Sl0MWhLcsiYgsyEsvvYTMzEyEhobCzc0NGRkZ+Pnnn1FWVoYvvvjCaCqLixcvYuPGjTh9+jS+/fZbjBgxAqGhoSYf8/arYgMHDrzXl9Fo5HI5FixYIHUZZIF4y5KIyIJ89dVX+PTTT3H27FloNBo4OjqiT58+eOONNzB8+HCjvnFxcYiIiICjoyMGDx6Mzz77DF5eXhJVTtS8MZARERERSYxjyIiIiIgkxkBGREREJDEGMiIiIiKJMZARERERSYyBjIiIiEhiDGREREREEmMgIyIiIpIYAxkRERGRxP4fcFaDum6WYGcAAAAASUVORK5CYII=", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "newData = xpsi.Data.from_evt( './data/synthetic_PL_pulsed_Gaussian.evt' )\n", "energies = likelihood.signal.instrument.channel_edges[21:293]\n", "phases = likelihood.signal.data.phases\n", "plt.pcolormesh( phases, energies, newData.counts )\n", "plt.xlabel('Phase')\n", "plt.ylabel('Energy [keV]')\n", "plt.colorbar(label='Counts/bin')\n", "plt.show()\n", "\n", "plt.plot( energies[:-1] , newData.counts.sum(axis=1) )\n", "plt.xlabel('Channel energy [keV]')\n", "plt.ylabel('Counts')" ] } ], "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": "3.12.2" } }, "nbformat": 4, "nbformat_minor": 5 }