{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## XAFS Data Processing\n", "\n", "Here we'll use Larch for XAFS data processing:\n", "\n", " 1. read data from an Athena Project File\n", " 2. do XAFS background subtraction with autobk()\n", " 3. do XAFS Fourier transform with xfft()\n", " \n", "For more details, see https://xraypy.github.io/xraylarch/xafs/\n", "\n", "We'll start with reading and exploring the Athena Project File:" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "from larch.io import read_athena\n", "project = read_athena('../xafsdata/fe_athena.prj')" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "fe2o3_rt1_xmu \n", "fe3c_rt_xdi \n", "feo_rt1_xmu \n" ] } ], "source": [ "for name, group in project._athena_groups.items():\n", " print(name, group)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "> **NOTE** For additional features of working with Athena project files -> [IO_Athena_project.ipynb](./IO_Athena_project.ipynb) " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's get that data group for Fe2O3 and look at what that Group object contains" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "athena_id \n", "athena_params \n", "bkg_params \n", "energy \n", "epsk \n", "epsr \n", "fft_params \n", "i0 \n", "importance \n", "label \n", "mu \n", "provenance \n", "signal \n" ] } ], "source": [ "fe2o3 = project.fe2o3_rt1_xmu\n", "for attr in dir(fe2o3):\n", " print(attr, type(getattr(fe2o3, attr)))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "There are several components to this Group of data. We note that there are arrays for `energy` and `mu`. These are what represent $\\mu(E)$.\n", "\n", "----------\n", "\n", "We'll want to plot this data and the other data arrays as we go. The standard scientific-python-Jupyter approach would be to use inline maplotlib:" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", "plt.plot(fe2o3.energy, fe2o3.mu, label='mu')\n", "plt.xlabel('Energy')\n", "plt.ylabel('mu')\n", "plt.legend()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As an aside, we could also use the wxmplot plotting tools that were developed for Larch to make equivalent plots.\n", "Instead of being a static plot in-line, this will bring up an external window for the plot. This external window will be just like that from the XAS Viewer GUI application: zooming is supported and essentially all styling and colors can be changed interactively as well as easy methods for exporting plots. It turns out that this currently does not with Anaconda Python on MacOSX, so we'll test for that. \n", "\n", "When it does work (Linux, Windows, MacOS other than Anaconda Python) the equivalent plot would be:" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "wxmplot does not work in Jupyter from Anaconda Python on Mac OS\n" ] } ], "source": [ "import os, sys\n", "if sys.platform == 'darwin' and os.path.exists(os.path.join(sys.prefix, 'conda-meta')):\n", " print(\"wxmplot does not work in Jupyter from Anaconda Python on Mac OS\")\n", "else:\n", " from wxmplot.interactive import plot\n", " plot(fe2o3.energy, fe2o3.mu, label='mu', xlabel='Energy', ylabel='mu', show_legend=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now let's remove the XAFS background and extract the EXAFS $\\chi(k)$. We'll use\n", "the `autobk()` function (https://xraypy.github.io/xraylarch/xafs/autobk.html)\n", "\n", "Note that we pass in the *Group* as the first argument. The `autobk()` function will add several attributes to this Group -- it will be the container for this dataset." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 0, '$k\\\\, ({\\\\rm\\\\AA})^{-1}$')" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "from larch.xafs import autobk\n", "autobk(fe2o3, rbkg=0.85, kweight=2)\n", "\n", "plt.plot(fe2o3.k, fe2o3.chi)\n", "plt.xlabel(r'$k\\, ({\\rm\\AA})^{-1}$')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "but we usually want to plot $k$-weighted $\\chi(k)$:" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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gxRSQ/rFoziW8YPVgVPrc5cmBRLL1QPLbCXIgKSCvP6MNoCBNf+PROCOROM3J0F+lz0NbMMChNDcRilIqVEAcRqay1l/v7mXzgQHuesOp/OU169jdPTrFC7ErsKaEsCqKG8IaGI/mNAdrMtY4k3J4IPFZK7Ag/xDWq8fGaKr2ce6yekQKIyA9w9b71Bo87l0urqsoyb4XRZkJFRAH8dzBAc745MPc+IXfph0/8t3fHaY16Oet5y/lsjVNADy191jqdXtwYnvtZA/ERyg2QThWnH6LfD0QsCqxyiEg49GJWXtAIH8B2X9sjBWNVQS8btqDAQ4VIITVk2y6bEl6IABL6itKMq5fUWZCBcQhJBKGTz2wndoKHzu6hvnyk/unvB6KTvDr3T28/vQ2vG4Xa1qqaanx89s0ArJoUg7E3tMxXIQwljHG8kDyFpAyeSCR7DyQqjxzIIf6xlneWAXAssbKgoSZ7BuKyR7IkvpKjg6FC5akV5RcUQFxCFs7Bnmpc4iPvv4U3nBmO9/dcpixSReuJ3b3Eo4luO50K64uIly2pomn9/WRSFi9AF1DYVwy9SJjz6gaLIKADIfjxCZMzl3oNo3V/rI0Eo5HJ7LKgXjdLiq87pxyIMYY+sYitAQtT2FZQyUHCyogxz2QxfUVxBOG7jKNhFEUFRCH8MKhQQAuX9fMbRcuYyQc58ndxwdAPrz9KHWVXi5Y2ZB67tI1TfSPRXnlqFXK2TUYoqUmMGV0uz0ltxh5kN4R66LWPCmskguNVT76x6IpASwV49EJKrIQELC60XPxQEYjlqjajZXLG6voHYmkxqfkS+9IBJ/HNWXz45J6K1TZoYl0pUyogDiEFw8P0hYM0FYb4Lzl9VT63Gza3wdANJ7g0Ve6ufq0VjyTxOHSZB7k6b3WcV2DoSnhK5jkgYwX/k7/eFw+MMuR6Wmo8pEwxfGOMhGOZS8gue4EGRiz/i12WG9Zg9XkN9cwVvdwmJYa/5TmR7uBsLMES8MUJR0qIA7hxcODnL20DrBCJ+evaODpfZYwbNrfx3A4ngpf2bTVBljTUs2TeyxP5cCxsRO6ku071mKU8vYmBSRvDyQ5zqR/rHQhmERytlXAk6WA5DiRt3/cnk5sve/LG5MCMsdEes9IZEpoEo7nujo1ka6UCRUQBzAwFuVQ/zhnL6tLPXfJ6kb29oyyu3uELz62l8YqH5etbTrhe686rYVN+/rY3jVE11CYcyadA457IMUQELu0tCWYbwjLHmdSujxIOFkmnb0HkttedHu8vV3aXGgPZDJ+j5uGKh9Hi7gwTFEyoQLiAOzO5XWt1annbjhrEU3VPm78wm/53YF+PnztOgLeEy96N2xYRDxh+PRPrYHE569omPJ6td+D2yXFyYGMRgh4XamZUbly3AMpnYCEkrtAKtK8l+nIdS96/7T9KLUVXgJe15y3QvYMn+iBgFXW2z2sSXSlPDhymOJCw24GtO9WwVoI9e0/vogv/2Y/S+sreevGtEsXOX1RkFXNVal8iT0ryUZErGbCIgxU7BkO0zwtLp8LdvVWXykFJJabgNg7QbLFFhA7ByIitAYDc7rIT+9Cn0xrMEDPiHogSnlQD8QB2OGN6fmLta01/MvNZ/HBq9ZOSZ5PRkT47O9vAKywV7rj6orUjd4zEsk7gQ7HL7KFnFg7G+GY1TMRyKUKK8cciMclU7yy1prAnDyQdF3oNm3BuZ1bUeaCeiAO4FD/OK1Bf9oQVTacv6KBzZ+4Gs8ME3FrizQPq3ckwpqW6tkPnAGv2ypLLWUIy+7ID3iyu3eqCXgZjcZJJAyuLCYOD4xZjZWTvbLW2gAvdQzmZzDHq91a0+SaWoN+ekcixCcSM95kKEqx0N84B3Cof5ylc9zp0Fzjn7EjvJgeSL4VWDaN1T76SphET4Wwsk2i+z0YY83Pyob+segJy7Vak3mKfJc/2R5GOm+vJRggYUobBlQUGxUQB9DRPz4l/1Fo6ioLv1QqNpFgKBRLrabNl8YqH30lLOPNNYme6zwsa7TL1PH2bbUBQrGJnPpJJpOuC93GDmuVO4wVn0ikphArCwcVkDITiU9wZDjM0iIKSDEm8qZ2oeexC2QyjVX+knogqRBWtlVYgdzmYfWPnTiduCV5ke/J8yKfrgvdxhaVcldivf++53ndv/4657lhyvxGBaTMHB0KY4w116hY1FZ4GQnHmSjgyJChpCDV5TnK3aah2lfaMt4cBSTXnSBDodgJ70lrzdwu8um60G3aHOCBDI3HeGRHNzD3hkllfqECUmbsi0pbmgqbQmE3ExZyIu9AUkDy3QVi01jlY2A8WlBxy0Q4xxyIvZUwmxCWMYahUOwET6EtuaM+34a/7uHICU2ENo3VflxSXgH5ydbO1Ne64GphoQJSZuyLin2RKQbFmMhrh7Dq5hzCSs7DKsKsrnTkmgMJ5pADCcUmiE2YEwSkMZknyndky9HhMO116T1Ut0torvGXVUCeOziQej/TrVlWTl5UQMpM91AyQTqHforZOD6Rt3AXaftc+e4CsWlIXVxLJCDJPpCsO9FzyIEMh6xjpgtIlc+Nz+2ifyx3ATfGWHvuM3ioc21UnCtbDw9y+bomaiu8HOwfy7vaTJl/qICUmaPDYQJeF8GK4rXk1BbFA0nmQNIkdnOhKSlApZqHZYew/Dn0gUB2ORC712a6gIgIdZXevAR8cDxGOJaY0QMBq7y3XB7IwFiUA33jnLW0jmUNlXzrmUO89nO/LllIUikvKiBlpns4TFswkPc4kGywL/JDBazEGhiP4nO7slrMlImGEs/DCscm8HtcWTUFAlR63YiQVTe6LSDpbgYaqvIrFjiS9FDbM4Q422rLF8LammyQPHtpXcobPdQ/zo6u4bLYo5SWWQVERK4RkS+LyNnJx3cU36yFQ/dwOO2IikJiVwUVMoQ1NB6jrtI7Z+GzJ/KWqhcklMMuEACXS6j2Z7cTZCYPBEh6ILkL+NFha1R7phxZa02AgfEYkXhx9t5n4rmDA7gENiypo8J7/HKyaf+xDN+lnCxk44H8KXAn8IciciVwdnFNWlgcHQ4XNYEOxxPBhU6iz7UCC473kZSqFyQUncg6/2FTk+VE3kwC0lDlS+0KyYWuQcuzWFQ7cwirNdVnUvo8yLOv9nPG4lqq/R7+/sYz+OLbz2VVUxWbkrtslLkRn0jwJ/du4am9zhTkbASk1xgzaIz5CHAtcH6RbVowGGPonmFMdyHxuK2R64WchzWQ9EDmisftor6ydPOwQrE8BCTLnSCZBKS+0pfaFZILR4fCqUqrmbD3sZR6Km8kPsGLhwe5ILlCoK02wPUb2rl4dSObDwwQn0iU1J75xucf3cP77n0OYwzv/9ZzXPsfT/ClJ/bRMxKmZyTM5gP9/GbvMR7e3s3/+ekORxYnZJO5/RmAiDQZY+4SkQ8W2aYFw8B4jGg8UXQBgeRAxQLmQAbHo6xsqirIuRpKOM4kHEvkPLQy273otoDYiffJ1Ff6GAzFsh7KaNM1FKKlxo87w/ccH2dSWg9kW8cQ0XiCC1ZO3UFz8epG7nv2EC91DnHOsvqS2jRf6BkJ84XH9xKJJ/jQd17k5y8fZVVTFf/885189hc7sWsQ7GKPnUdH+PD3tvLJG9bPuXm3kMzqgRhjfpL88mvJx58vqkULiK7kLuvFGSpsCkVdpbfgVViFCGFB9uNMekbC3HL30/x0W1fePyscmyDgza12JNudIMOhGDUBT9qLfX2Vj4mEyWm3CNh77jP/fthNqEeHSuuBPLX3GCKcICAXrWoESO2o6R2JcGyWkf2xiQT3PnOQI0MLYz3v5x/dS2wiQWvQz4Nbu7h0TSO/+vBr+dWHX8ufXbGGj153Cm/duJRIPMF5y+u59fylPLC1i//69b5ymz6FXGpHi1cmtEDpLKWAVPgKmkQfTtNxnS+N1T729IzOetxPtx5h84EBNh8YYFlDJRuW1M36PdPJNYkOVjd6NiM6Mr0n9o70/vFoqqw6Gw73h064QE+nrtKLz+2iu8QhrN/sOcaGJXUn3BE3VftZ11rNr3f14nEJ//7IbuoqfDz4wctmDMV97uFd3PPkfr7wmJ9Pv+lMrj6tJe8CjeFwDL/HhT/Lvfel5LubD3HvMwd5uXOYd12ygrdfuIzD/eO87pQWXC5hTUs1f3XtKYD179i0v49bzlvCrRcso28syg+f7+TO15+C1yGj+3OxwnkBuHmO7YEsqitNCKtQHkh8IkEknqAqz1W208m2xPUX24+mpv/+7tX+vH5WXkn0gDfrKqxgmvAVHK+EG8hBxKPxBF1DoVkHbYoILUF/SZPow+EYLx4e5PK1TWlfv2HDIn73aj//9NBOLlrVyMB4lD/62u949JXuKUMljTF86oHt3PPkfq4/s50qn4c//uYWbr57U155sWg8wRv+72+48l+f4JEd3Tyxu7cou3Dy4bmD/Xz8Ry/TPxrl0jWN3PWGU1nXWsNVp7Wm9VqDAS9PfvQKbr1gGQC3nLeEY6MRntjVW2rTZ0Q9kDJyZCiM3+NK7c8uJnUVhcuBjCeb8ebaA2LTWO1PzcOaKdbfPxZl84F+PnTlWr635TAvdQ7l9bPC8YmccyA1AQ+jkeyS6DN6ILaA5HBR7BwMYQxZjfpvLfFmws2v9jORMFy6Jr2AfODKNaxqrmYwFOXtFyzjid29fOjbL3D7N7bgdgmfeONpvOeylTy1t4+vP32AP7p4OX/3e+sxwPe3dPCJH7/EV3+7nztff2pOdv1yx1E6B0O0Bv388Te3APDOi5fzt7+3nt/sOcYlaxrL5pn8z1MHqKvw8vBfXp42TzYbV5zaQlO1j+8/d5ir17cWwcLcycUD+VjRrJiGiFwnIrtEZK+I3JXmdb+IfDf5+rMisqJUthWSzmR8u5hNhDZ2DqQQlRzjEUtACuWBNFb5MCbz3fmOrmGMgQtXNXD6olpezldAonkIiN9DOJYgNktVUSYBsfNFudxV24MJlzdmIyD+vIc15sOu7hEA1i8Kpn1dRLh+Qzu3XbgcEeF1p7TwxJ1X8P33Xcwlqxv57C928p+P7uHTP9tBS42fT1x/Gh63C6/bxdsvXMbr17dx76aDjOU4Hv5bzxxkaUMFT9x5Bf9y8wYqfW6+u+UwN9+9iXd/fTP/XaYcQjg2weM7e7j29La8xAOsDZ5vOnsxj77Sw6d/uoM//84LJV0HnY6sBcQY8/LkxyJSJSIFl/LkOb8IvAFYD7xNRNZPO+x2YMAYswb4D+CzhbZjMsNZjvLOFStBWvzwFVilpRMJU5B9DfZ2vsJ5ILNfXHcnL1jrWms4Y3GQ/cfGcr64QL5lvNkNVMwoIMkcSC7NhLaAZOOBtNQEShrC2ts9SlswMGPILh31VT7OX9HAZ35/AyLw74/sZk/PKB+8cs0JXsF7X7OS4XCch146kvX593SP8Mz+ft5+wXICXjd/sHEpn7v5LMKxBC8etjrmv/27Q7PeCMzEM/v78r5x+dm2I4xFJ3j96XPzHG69YBket/DNTQd5cGsX//bI7jmdb65kfQspIi7gVuA2rF6QCOAXkV7gIeAeY8yeAth0AbDXGLM/+XO/A9wE7Jh0zE3Ap5Jf3w98QUTEFKFQeigU48J/+hXnLqvnkzecziltNQU7d9dgiMvXNhfsfJk4PlAxlvcdkE3KA/EVLgcCcGw0wrrW9O/vnp5R6iu9NFb5OGNRLcZYpY3nLc+tTDSfJHrQHgUTimUMNw6FYjMmyKv9HrxuyamZ8FDfGH6Pi+Ystj621QYYjcQZjcRTI+jTkUgYvrP5MEeHw/zl1Wvz9n739IyytrU6r+9dXFfBTz/4Gip8bhbVph/jc97yepY3VvKjFzq5ZePSrM77zU0H8bld/MHGJannrjy1hfOW13PzeUtorvbz3m9u4ScvdnHzeUsynGkqj+/s4e4n9vHsq/2IwNsvWMa2jiFOaavhUzeenvb9Hg5b+bDxaJwvP/kq//fR3ZzaVsMlq9OH/LJlTUs12//+OlwCf//gDr656QA3bFjExasb53TefMnlCvA48CusUNbLxpgEgIg0AFcAnxGRHxljvjVHmxYDhyc97gAunOkYY0xcRIaARmBKu2Zy7ModAMuWLcvLmETCcMflq/nfZ3SXhKoAACAASURBVA9x6z2b+P77LmFNS34fnMlE4wl6RiKzlmgWCvvCNhSKkd3HcWZSHoi/MB5IUxYTefd0j7C2tQYRSSWVrZLP7AXEGJNXH0jdpPduJsKxCSLxxIweiDVQMbdmwl3do6xorMqqb8TeTNgzHKa6eebfz88/tpf/+JV119pQ6eVdl67M2h6bRMKwt2eUWy/I/zdpts+QiPCmsxfzn4/tYV/vKKsz/Js6B0Pcu+kg9z5zkLddsDQ1Ph+svS8/eP8lKbvPWlrHZ37+Clef1jJrP0XPSJhdR0f4wP8+T32Vjztffwrdw2HufeYgwYCX7V1DVPrcvO+1q2mstsKwX/nNfgD+7ZHdvGZtM8/s6yM6keAt5yzm028+A1+WQzwzYecJP3ztOp7ae4w/uXcLT370irL0h+QiIFcbY074BBlj+oEfAD8QkULUdab7tEz3LLI5BmPMPcA9ABs3bszLO6mv8vHha9bx++cu5k1ffIq/+v5WfvC+i/HMsYyuezi5ibBEAlJXMftFMFvs0FGhPZCZekGMMezpGeX3NrQDkxY05dj3EInnNsrdpjaL984OcwYzlDY3VPqyrsKKxCf43at9vDXLu297HUD3cIRVM1xsJxKGb//uEK9d14zHJfzTQzs5f6WVU8qFzsEQodgEa1sK542n47YLl/E/T73KR76/lbv/8LwZG27f+40tvHJkmGvXt/LJG06f8Xwul/CPbzrD+hx/byvXndGG1+3i6X3H+KtrT5lyfmMMd3zzOV48PIjXLdx7+4Wpxtk/vGg5DVU+/uHBHfzw+U6+/btDLK6r4Nzl9fzweWu5VnONnyd393LjWYu49fylXLy6seC5zmDAyz+/5UxuvnsTv917jN/bsKig58+GXHIgJ3x6ksnsW0TkxzMdkwcdMOUmeQkwvXMsdYyIeIBaIL+6zixZ3ljFp248na2HB/nelo45n68zVcJbIgHJo4x0JsaidhK9MB5IfaUPEeib4e68dyTCUCiWCm8FAx4qfe7UpNpssZdJ5dpIaAtIpj6a4QxjTGzqq7wMZLkT5LmDA4RjCS7LMsRp7123hy+mY9O+Po4Oh63cwC1nUV/l5YP/+0LOuaSfv2zlJc5cnJvw5EpLMMA/vvlMth4e5Ip//XUqDzaZV44M88qRYT51w3ru+aONs3qXZyyu5c7Xn8KjO3u48/5t/MV3X+R7Wzp4y389nWp2/NzDO7nonx/lxcOD/MHGJfznredMmbqwrrWGpmo/bz5nMaOROJU+DwkDP3y+k8vXNfMXV6/l53/+GjZ/4mr+823ncMmapqIVypy9tI5qv4enyzR7LOdbSLHeiSuBPwRuBB4Evl5AmzYDa0VkJdCJlXd5+7RjHgDeCWwCbgYeK0b+Yzo3nrWIrz99gM8/toe3nLs451DIZOyO2/YSJdHtu/x85jFNZ9z2QApUheV2CfWVvhkrSuwmw7XJsIeI0FYbyNkDsfeh5+qB2F5FppXAqVHugZnfk/rK7BomAZ7cfQyPS7hoVeYmQhu7GCOTqD65pxefx8VVp7UQ8Lr5j7eezW1feZZP/2wH//yWDYC198TvcfPUvmPsOjrCGYtqaasN4BJY2VTFUCjG5x/by+tOaebMJcUVEIAbzlrE6YuC3HL3Jv7yuy/y4AcumxLS+/GLnXhcwg1nZX/3fcflqzh/ZQPVfg/dw2EqfR7eds8zfPh7WzljUZD/+vU+FtdVcN7yev7pzWfOGG24bG0TF69q5NYLlvK6U1q4d9MBbtm4tCSjiWw8bhcXrmzg6TINW5z1CiAi7wT+AHgG607/LcCLwHeAK40x7yqkQcmcxgeAhwE38DVjzHYR+QdgizHmAeCrwL0ishfL87i1kDbMhIjw4WvW8Y6v/o4HXuziD87PPwaczZTVQlJf6UWkMIubbA+kskAhLEjOw5rBNvvOc+2kBHt7bSDnsRehHPeh22QTwso0SNGmviq7aQCJhOGn27q4aFVj1gUPlT4PdZXeVHNqOvb1jLKqqSp143PJ6ib+6KLl3PfsIf7y6nU8vquHf3hwB7UVXrrSCNH1G9q5YEUDI+E4H0l2S5eCVc3V3PWGU7nz/m08f2iAjcnhjYmE4ScvdHH5uuYpeY/ZEBHOTc7osr3aT1x/Gp98YDtP7u7lTWcv4nO3nDVrt7fX7eLbd1yUevyBK9fm+k8rCJesaeLRnT10DoZKFhK3yeYK8GHgKqAHeBJ4nTHmEICIfKYYRhljHsKq7Jr83N9N+joM3FKMnz0bl61pYl1rNd985gC3bFySt2vaORiiocqX88UsXzxuF3UV3oIMLbQ9kEKV8QK01PhnnCa7p2eUukovTdXHk4RtwQo27cvtrut4CCs3u/0eNxVed8YS3KwEpNLLwPjsAxW3HBygYyDEh69Zl5Odi2orUjcm6djXO3pCvuNdl67kG5sO8vEfvcRjO3s4b3k9e3tGuXxdM//vrWfzwuEBRiMT7D46whce38sj27tZ0VjJ6TP0fxSL685o4xM/eplfvHw0JSDPvGqF5D5+/WlzPv87L1nBG89sZzQSL9iQ0FJxSbICa9O+vpyqywpBNgLyeeAbwN8D1cBjIrIV+DYLcKOhiPCOi5bztz/ZzouHB/OeNlrKHhCbxurshhbOxlh0Ap/HVdB5PO21MwvCnu4R1rXUTBHr9toA3SORjN3r07EXLuUawgJLGDJ6IOPZCMjxgYqZ5mH9bFsXFV43rz+9LScbF9UF6BhI74FE4hMc6h/nxmmhnpVNVVy/oZ2fbTvC0oYK/ufdF+BxCT63tbXxylOTfQtnWeGxHzzfwXVntJek+XUyNQEvl65p5GcvHeFPXrua5ho/9z/XQZXPzTWnFaYru7nGn3FsvlM5pbWGhiofT+89VnIByWYa71eMMdcbY/7eGHMnsBb4L+CNQI2I3Csibym2oU7izecuocrn5t5nDuZ9jq7BUMnCVzaNVb4ZE9W5MB6NU1Vgz2myIEzGGMPu7lHWTOs5aKsNMJEws055nUwoalVh5ZO7mk1A7FlZGauwqrIrZHj21X42rqjPOce0qK5ixhDWwb5xEoa0FVr/ees5/OxDl/GD911Ctd9DwOtO6yF9/I2ncv2Z7bz9gvxK4ufKuy9dSd9YlIv++VFuuftpHkj2c5TKi3cqLpdw8epGntzTyy9ePlran53rNxiLR40x78Hqx/gpVkJ7wVDt9/CWc5fw021H8l6E1DUYLlkFlk1Ttb8gow/GIhMFzX+AVUwwkTD0jky1r8euwJrWN9CaxwjzfJPokNynMksOpMrnzuiVpcaZZKrmCsfY1Z17gyRYAjIcjqddfrW/10rep+uncLuE0xfVpiq5ZqKx2s8XbzuXZVmMVikGl69r5qEPvYY7Ll+VmoV2x2tXl8UWp3H9me30j0V537ee42DfWMl+btYCIml8VmNM2BjzXWPMTTMdc7Jy20XLiMYT/PiFzpy/dzgcYzQSL3kIq6GQHkiBSnht2pO9HV3TEuMvdVgXiukVP9mMP5nO8SR67qG3WUNYWYy3r8+iEu6FQ4MYAxuXZ1d9NRn7hiRdJda+Xuuisqp5fsX3p7OmpZq/vu5UfvD+S/jyH20sedLYqbzxzHaeuPMKAB7cmv++nFzJ5ZP0uIh8UESm+K8i4hORK0XkGywgT+TUtiBnLq7l+8/l3hPSVeIeEJvGah+D47G8ZwHZjEWL4IEkw3nTPYptnUO4BNa3TxMQu/kwBwEJx/JLokN2ApIpfAWTJvJmSMY/f3AAl8DZy3LfdbIoKcKdafIg+3qs2VWFKr0uN6cvquWKU1vKbYajWNpQyfkr6nnAoQJyHTABfFtEukRkh4jsB/YAbwP+wxjz9SLY6Fhu2biEV44M5zxgrXwCYiUI59pMOB4pogcyLYb/cucQa1tqTohz2/mE/hyqysotIHXJgYqZPJC9vaMsbajMOM9qJpY3Wt7Fq8dODGHsOzbG6pb57X0os3P9me3s7h5NhSyLTS6d6GFjzH8ZYy4FlmOV9p5rjFlujPljY8yLRbPSodx41iJ8bhf35+iFdCZLLUvtfjfNMjIkW4rhgdRWeKnwuqd4IMYYtnUMcUaajudqvwef25WTB2KX8eaTA6mr8DIenUhVck1naDyWGhczEzV+Dx5X5oGKr/aO5V1G2lTtIxjwsG/axcMYw/6ezPOklJMDe0/Ir17pLsnPy6sO0xgTM8YcMcYMFtqg+URdpY9rTm/lxy92znhhSUfXYAivW7KaslpIbA8kl8qldBSjCktEaK8LpEa8gDXX6dhohA1pOp5FxNpkmIMYhubggTTOMvBxYDw66454e6DiTM2ExhgO9I2xojE/ARGxVqLundbt3jsSYSQSVwFZACypr2R9e5BHdjhYQJTj3HLeEgbHYzz6Sk/W39M1GLLGQ2TZv1Ao7Br36ZVOuTIWmaCyCLH0VU1TL37bOqz7k3QeCGS/CtcmFLP6V7LtG5lMpvfOGMNgKJYKUWWioco7o829IxHGoxNzamRb01J9ggeyN/l4vifQley4en0rzx0cKMmyqTkLiIi0i8j8674pEK9Z20xbMMD3txye/eAk5egBAWgLzj4vKRuK4YEArGut5tVjY6kk/8udQ7hdwvr29F3PjdW5VZVFYom8wleQWUBCsQmi8cSsHghYpbwzDVTcn8xdzFVAjo1Gp3g5dgWWeiALg2vXt5Iw8BfffbHoGxgL4YHcC+wUkX8twLnmHW6X8JZzF/PE7t6sd1KXowcErBlQdZXenIcQTiaRMIwXIQcCsLa1mnjCcCB5Id3WOcTaluoZG8WssuRcGgkncp7Ea5NJQOyqqtlyIJAUkBlCWAcKICC2SEz25HZ0DVNb4U0VKignN/aYmd/sOcZnf7GTRKJ4c2Zz/jSJyJTbLGPM1cAq4H8KZdR84+bzlqTGOc/GSDhG52CIVWWat9MWDMzJA7HzCIWuwgJS+yX29IxijOGljqGMI8PzyYHk64HYc7jSCkjSC8pmoU991cwCcqh/HLdL5nRzYQ8H3Hn0+OjzHUeGWd8eLPn4EaU8iAjvm9Rg2ZlhwOZcyed27BkROXPyE8nu9O0Fsmnesaq5mo3L6/n+c4eZbar8K0esD/bpi0s7jM6mrTaQcWfEbBzfh154D2R1czUi1vTd5w4O0DcWzbiqs6naz1h0IlWeOxuh2ETeI/j9Hje1FV5608SV7fLe+gzzrWwaqqyBiul+T7qHI7TU+PPK0dgsqa+gJuDhlSPDAMQnEuw8Msz6Eg8/VMrLX193Ct9NTgpOt0elUOQjIH8C3CciH5n+goj8Yu4mzU/eev5S9veOsWmWxS7bu6yekVy3wBWK9toAR4fyT66l9qEXwQOp8LlZ3VzNU3uP8aMXOmcdKHi8FyQ7LyScxz70yTTX+GcIYVk/vz7DvnQbe6CiPTtrMj0jYVrmOMxPRDitPZgSkFePjRGJJ0o+PVcpLyLCacn/811OEhBjzGasHeXnishjIvKnIvIlEXkpn/OdLNxw1iIaq3x87akDGY/b0TVMY5VvzheKfGkLVnBsNEI0nl83ejE9EIBbz1/K5gMD3P9cB9ee3pqxc7o+xy2L4TmEsMAKY6UrgU7lQLLwQFI2pxG93pEIzTVzz1Osbw+y8+gIiYRJzYxSD2ThEQx4WVQbYPdRBwmIiHwaeBnYABwF/haoAq4zxlxbWPPmDwGvm9suXMajO7szuowvd1nhhHLFo+1EarYJ/+mM2+tsiyQgf3D+UmoCHtpqA3z0ulMzHmtfsIcyjAaZzFxCWADNNYG0HsignQOpmN0DyTSRt3s4TGtw7jcWp7XXMB6d4GD/OI/t7KGp2lf0/eWKM1nXVsOu7uJ1pefjMbwLON8Yc4Yx5u1YQlID/KuILOjbnHdfupJKr5v/9+ietK8fGQrxypFhLlo1c1y/2LTW2ruz8xOQ0dQ62+KM0A4GvDz0odfw4Acvm7VT3xaQTLOlJhOKzs0Daa720zNDFVaVz43PM/vHyQ5zTd8MGY0nGBiP0VIAD2TDEmuO1jP7+3hiVy9Xndo6p7yKMn85pbWGfT2jxOc4/24m8hGQdcaYfvuBMaY3OY3318CzhTJsPlJf5ePdl67kZ9uOsOVA/wmv27P633BGbouCContgeRbiXU8B1K8oXxLGyoJZrHK1b7jHwxlG8JKzMkDaa8NMB6dOMHjGQxFs6rAAlIexvTti3ZyvqUAHsgprTU0Vfv4wmN7GYnEuWZ9YRYuKfOPda01RCcSHOgbL8r588mBpLXEGPMl4IY5WzTPef/rVtNeG+BvfvzylPEmxhge2NrFqW01aZf6lIo2O4SVp4Acz4GUf4mP7YFkWjU7GSuJnn+abmmD5REdHpj6ERgcj1GfRRc6WF6MyInvvx1SLEQIy+USLlndROdgiLZggMvWNs35nMr85JQ2K3RZrEqsWT9NInKNiHxZRM5OPr5jpmONMXsLadx8pMrv4R/ffAY7j47wjz97JVWu+Zs9x3jh0CC3nr+0rPbV+D1U+dxz8ECSIawi5UByIeB1E/C6Mk7JnUwoNkHAk7/wLam3Fikd6p8qIH2jERqqsrvwe9wumqr9dA9PW5yVfFyIEBbAZWss0fjgVWvm5HUp85s1LVZp/K4iJdKzuQr8KfBu4G9EpAE4uyiWnERceWor771sJV/57atE4wneeGY7f/Pjl1lcV8HbLizPOlAbEZlTL8hYMoleWaQcSK7UVcw8nHAyxhirkXAOntPSBktADk8TkO7hSKqBLxvaggG6p4ewko8LVZ130zmL8HtdXH9me0HOp8xPAl43KxqriuaBZCMgvcmpux8Rkc8A5xfFkpOMj7/xNFwu4au/fZXvbD5MXaWXr75zI/453AEXirba/LvRx6NxPC7Bl2F1aympq/RmFcKKxBMYk98kXpvaCi+1Fd4pIaxEci97LrmL1qCfjmlLn7qGwnhckpr6O1f8Hjc3nb24IOdS5jentNYwnGbNcSHIRkB+Zn9hjLlLRD5UFEtOMlwu4eNvPI13XrKCfT2jnNYeTM1TKjdtwQqe3ncsr++19qG7HTMWo7YiOwEJz2Ef+mSWNlRwuP/4xb9/PEo8YXIKPbUEAzx/aOomhM6BEO11Aa2WUgrOF287t2i/V7MKiDHmJ9OeOmGPpIi4jTHZL8RYQCyuq3Dc3ub22gA9IxEmEibnXyxrH3r58x82dZXetBv4phOOWWWMcwlhASytr5wST84n+d0WDNA/FiUSn0h5pJ2DIcf9nignB8W8KcknDrFYRN5mPxCRFuBXhTNJKTZttQEmkqGXXLG2EZY/DGdj5UBm90COL5OaW+htWWMlHQOh1Mh5uy8klw7yVCnvpER650CIxXWVc7JNUUpNvrOw7hCRC0TkfOAxYEGOcp+v2HtBpu8fzwZrH7qzPJDBUPrhhJOZyzrbyZxi19UnvZ6e4dyT363Bqc2c0XiC7pEwi+vVA1HmF1lfCUTkm8DzwAvAnwH/C8SBN2n57vzCvoCl66qeDad5ILWVXqLxBOFYImN4ai7rbCdj19XvPDrC2taa4+W3OYSw7JW1rx4b4/wVDRwZCmGMNUlXUeYTuXgg30ge/x4s8VgBDAB/KCI3F940pVgc74bOXUCsbYQO8kAqshuoWKgk+pqWatwuSeVBukfC1FV6c6quW1Jfgdct7E9uCuxMVmQt0RyIMs/I+kpgjHkUeNR+LCIeYD1wFnARcH/BrVOKQmO1H5ccD7/kwnhkgsom5whIsMKyZSTNePTJpARkjt6T3+NmZVNVamHT0aFIzr0bHreL5Y1Vqd3lHclQooawlPlG3lcCY0wc2Jb8c2/BLFKKjtslNFX7pyRxs2U0Upx96PlSk5yZNTJLnXuhQlgAp7bV8MKhQWtrYucgF67MfTjmqqbjArKvdxSve26bCBWlHDijG0wpOS1B/wnd0NkwEo5TE3COB2LbMpsHUqgkOsDFqxvpHAzx6Cs9dA9HOG95fc7nWNVczaH+cWITCfZ2j7KqqRqvQ5ozFSVb9Dd2gdJaE8jZA4lPJAjFJlJ3/U4gmBSQ2TptwwX0QN5wRjtul/CpB60tzucuy11AVjdXEZswHOwbZ3fPCGtbyzdgU1HyxVECIiINIvKIiOxJ/p32kykiEyLyYvLPA6W282SgJeg/YaT4bNi7QKodVMZ7PIQ1Ww6kMI2EYC2Fes3aptQ4klPbc1/WZHstD28/yuH+UE6ztBTFKTjnSmBxF/CoMeYzInJX8vFfpzkuZIzRoY5zoLkmQN9YlNhEIuvQiX2RrnZgCGs2DySVA8li6VM2fOYtG/ji43tpqw3kFXpa1VzNqW01fOExqwJ+nXogyjzEUR4IcBNWuTDJv99URltOalqDfowhp2502wMJOkhAKrxuPC6ZPQcSm8DrFjwFyjO01Qb4P286gz+7Yk3e57jujLaUsJ3StqCXeSrzFOdcCSxajTFHAIwxR5JjUtIREJEtWI2MnzHG/DjdQcndJXcALFtW3jHqTsMe/tczHKG9Nrvqn5QH4ndODkREqAl4Zq/Cis5tH3oxeMdFywnFJjhzcS0rm6rKbY6i5EzJBUREfgWk2+n6iRxOs8wY0yUiq4DHROQlY8y+6QcZY+4B7gHYuHFj5lkXC4yG5G7u/rHs1sECjEasi7STQlhg5UGy6QMpRAVWIWms9vOxN5xWbjMUJW9KfiUwxlw902si0i0i7Unvox3omeEcXcm/94vIr4FzgBMERJmZxqSA9OUgIPZF2kllvEDSA8lCQBzUv6IoJwNOy4E8ALwz+fU7gemj5BGRehHxJ79uAi4FdpTMwpOExmrbA8k+B5ISEAdVYQHZhbDmuM5WUZQTcZqAfAa4RkT2ANckHyMiG0XkK8ljTgO2iMhW4HGsHIgKSI5U+z343C76RnMJYTmvCguyC2GFYgkC6oEoSkFx1JXAGNMHXJXm+S3Ae5NfPw2cWWLTTjpEhMZqX44hrBhulzgul5BVCCs6QcUcd4EoijIV/UQtYBqqfLkl0cNxqv0ex6yztQkGvFn1gTitCktR5jsqIAuYhioffTn0gYwkBcRpBAMeRiNxEomZC+3Go3FH7TFRlJMBFZAFTFO1P7cQVsRZgxRtagJejIHR6MxhrFB0ggqv82xXlPmMCsgCJp8QljMFZPaJvKGYszYpKsrJgArIAqahysd4dCI16nw2RiIxR4awstkJMu6wVbyKcjKgArKAaaq2mwmzy4NYu0CcM8bEZjYPZCJhiMQz70xXFCV3VEAWMA1V1irWbMNYQ6EYtRVOFpD0HkioQPvQFUWZigrIAsaeh5VNM2EiYRh2qIAEKzLvBBlPJtc1hKUohUUFZAFzPIQ1u4CMRuMkDI4UkOM7QdILSGqdrc95+RtFmc+ogCxgjk/knT0HMjRuhYecKCDBWZLodghLPRBFKSwqIAuYXOZhDYWsi3Owwnl38X6PC69bGA7NFMKyPRAVEEUpJCogC5hc5mHZo0KCDvRArKVS3pk9kKgm0RWlGKiALHCybSYcDjk3hAWZByraHoiGsBSlsKiALHCynYc15HABCWbwQLQKS1GKgwrIAifbeVhOF5BMHkg4plVYilIMVEAWONmGsIZC1i4QJ44ygSxDWJoDUZSCogKywMl2HtZQKEYw4LxdIDaZkuhahaUoxUEFZIGT7Tys4VDcseEryOyBhKITiFjlvoqiFA79RC1wsp2HNRSKObKE16Ym4GUkEmcizVKp8egElV63Y70nRZmvqIAscLKdh+XUQYo2weQ4k7E0S6VCsQlNoCtKEVABWeBkOw+rfyyaEhsnUpVM7o9F0giIrrNVlKKgArLAyXYeltMFpDqDgIxHJ7QLXVGKgArIAic1DyuDBxKOTTAaidNU7S+hZblhC0i6RLoVwlIBUZRCowKywBERqxckQw7ETrA72gOxcyCRE8uRxyJxqvwqIIpSaFRAlFkHKs4HAalKJslHIyf2goxFJhzbAKko8xkVEMWah5VBQI4lZ2XZCXcnYgvEaBoPZDQSp9rv3AoyRZmvqIAoNFb5MibRj3sgDs6BJENYo2m60S0B0RCWohQaFRCFhip/xhyI3SPS6GAPxM5xjE0byWKMsQQkoCEsRSk0KiAKjdU+xqITqam10+kbi+J1CzUOziP4PW58bhej08p4w7EEEwmT6hNRFKVwqIAoNNdYoanekfRhrL7RCI1VfsePAqnyuxmdVsZrC4qTxU9R5isqIAqtwQAA3cPhtK87vYnQpjrgOaGR0BYQDWEpSuFRAVFoDVoeSPdweg+keySc8lKcTJXPw8g0AbEFpUpnYSlKwXGUgIjILSKyXUQSIrIxw3HXicguEdkrIneV0saTkdaazB7I4f4QSxsqSmlSXlT7T/RA7M509UAUpfA4SkCAl4G3AE/OdICIuIEvAm8A1gNvE5H1pTHv5KSu0ovP46J75EQBGQ7HGArFWFpfWQbLcqM64DkhiW4LijYSKkrhcZSAGGNeMcbsmuWwC4C9xpj9xpgo8B3gpuJbd/IiIrQG/XQPnSggHf0hAJbMAwGp8p8oIKMqIIpSNBwlIFmyGDg86XFH8rkTEJE7RGSLiGzp7e0tiXHzldaaQNocyOGBcYB5EcKqSRPC0iS6ohSPkguIiPxKRF5O8ydbLyJdLemJa+gAY8w9xpiNxpiNzc3N+Ru9AGgNBtKGsA73JwVkvnggM5TxqgeiKIWn5J8qY8zVczxFB7B00uMlQNccz7ngaQn6eWL3iR5Ix0CIar+Hukrnz5Kq9nsYi04wkTC4XdZ9xmg4jkvQfSCKUgTmYwhrM7BWRFaKiA+4FXigzDbNe9prA4xG4gyFps6SOtQ/zpL6Csc3EQKpne2TvZDRSJwqv2de2K8o8w1HCYiIvFlEOoCLgZ+JyMPJ5xeJyEMAxpg48AHgYeAV4HvGmO3lsvlkYVlDFQCH+sanPL/r6AjrWmvKYVLO2DvbhycNVByNxLULXVGKhKMEslUWMgAACgdJREFUxBjzI2PMEmOM3xjTaox5ffL5LmPMGycd95AxZp0xZrUx5h/LZ/HJw/JGK8dxsH8s9dxwOEbnYIhT2+eHgASTifLJXtSYDlJUlKLhKAFRyseyhqSATPJAdh0dAeC0tmBZbMoVO4Q1PElAhsMxTaArSpFQAVEAq4KpucbPwb7jHsjOI8MA88YDSRfCGhyPUV/p/DleijIfUQFRUixvqOTAJA9kx5ERaiu8tCWHLTod2wOZHMIaHI9ROw8qyBRlPqICoqRY1lg5JYn+/MEBzlxcO28qmOwcyHDoeBXW4HhUPRBFKRIqIEqKda01HB0O0z0cpm80wq7uES5e3Vhus7Km2u/BJcdDWNF4grHoBHUV6oEoSjFQAVFSvHad1a3/xK5entnfD8BFq+aPgIgIwQpvKoQ1GLJW8dbNg10mijIf0fIUJcWpbTW01wZ4bGcPlT43lT43G5bUltusnAgGvKkqrMFx62/1QBSlOKiAKClEhKtOa+G7mw8TTxjefclKvO755aTWVngZTnaiD4xZHojmQBSlOKiAKFP4yLWncLBvnM6BEH917bpym5MzwQrPpBBW0gPRKixFKQoqIMoU6ip93Hv7hVMGEs4naiu89AyPAlYFFqiAKEqxmF/xCaVkzEfxgGQOJDwtB6IhLEUpCiogyklFbaWXgfEYxhgGxmN43UKVT0e5K0oxUAFRTiraggGi8QSD4zGGQlFqK3zzphFSUeYbKiDKSYU9duXIUJhjo1EaqjT/oSjFQgVEOaloq7UE5OhwiI6BEIvrnL/LXVHmKyogyklFe60lGEeGwnT0j7O0wfm73BVlvqICopxUNFX7cIm1y2QkEmdpvQqIohQLFRDlpMLjdtFSE2DzgQEAljZoCEtRioUKiHLS0VYb4JXkMqwl6oEoStFQAVFOOtprjy/A0hyIohQPFRDlpOO85fWpr2t1Eq+iFA2dhaWcdNx+2UoaqnzEJ0y5TVGUkxoVEOWkQ0R4y7lLym2Gopz0aAhLURRFyQsVEEVRFCUvVEAURVGUvFABURRFUfJCBURRFEXJCxUQRVEUJS9UQBRFUZS8UAFRFEVR8kKMWRjduiLSCxycwymagGMFMqeQqF2541TbnGoXONc2p9oFzrUtV7uWG2Oa072wYARkrojIFmPMxnLbMR21K3ecaptT7QLn2uZUu8C5thXSLg1hKYqiKHmhAqIoiqLkhQpI9txTbgNmQO3KHafa5lS7wLm2OdUucK5tBbNLcyCKoihKXqgHoiiKouSFCoiiKIqSFyogsyAi14nILhHZKyJ3ldseGxFZKiKPi8grIrJdRP683DZNRkTcIvKCiPy03LbYiEidiNwvIjuT79vF5bbJRkT+Mvn/+LKIfFtEArN/V9Fs+ZqI9IjIy5OeaxCRR0RkT/Lv+kznKKFdn0v+f24TkR+JSJ0T7Jr02kdExIhIU6ntymSbiHwweV3bLiL/ku/5VUAyICJu4IvAG4D1wNtEZH15rUoRB/7KGHMacBHwZw6yDeDPgVfKbcQ0/h/wC2PMqcBZOMQ+EVkMfAjYaIw5A3ADt5bRpK8D10177i7gUWPMWuDR5ONS83VOtOsR4AxjzAZgN/CxUhtFersQkaXANcChUhs0ia8zzTYRuQK4CdhgjDkd+Nd8T64CkpkLgL3GmP3GmCjwHaw3vuwYY44YY55Pfj2CdTFcXF6rLERkCXA98JVy22IjIkHgcuCrAMaYqDFmsLxWTcEDVIiIB6gEuspliDHmSaB/2tM3Ad9Ifv0N4E0lNYr0dhljfmmMiScfPgOUfJfxDO8XwH8AHwXKVqk0g23vBz5jjIkkj+nJ9/wqIJlZDBye9LgDh1ykJyMiK4BzgGfLa0mK/4v1wUmU25BJrAJ6gf9Jhta+IiJV5TYKwBjTiXUXeAg4AgwZY35ZXqtOoNUYcwSsmxegpcz2pOM9wM/LbQSAiNwIdBpjtpbbljSsA14jIs+KyBMicn6+J1IByYykec5Rdc8iUg38APgLY8ywA+z5PaDHGPNcuW2Zhgc4F/hvY8w5wBjlCcOcQDKfcBOwElgEVInIH5bXqvmFiHwCK6x7nwNsqQQ+AfxduW2ZAQ9QjxX6vhP4noiku9bNigpIZjqApZMeL6GMoYXpiIgXSzzuM8b8sNz2JLkUuFFEDmCF/K4UkW+V1yTA+r/sMMbYXtr9WILiBK4GXjXG9BpjYsAPgUvKbNN0ukWkHSD5d95hj0IjIu8Efg+4zTijsW011s3A1uTnYAnwvIi0ldWq43QAPzQWv8OKFOSV5FcBycxmYK2IrBQRH1Zi84Ey2wRA8o7hq8Arxph/L7c9NsaYjxljlhhjVmC9X48ZY8p+N22MOQocFpFTkk9dBewoo0mTOQRcJCKVyf/Xq3BIgn8SDwDvTH79TuAnZbQlhYhcB/w1cKMxZrzc9gAYY14yxrQYY1YkPwcdwLnJ30En8GPgSgARWQf4yHNqsApIBpLJuQ8AD2N9oL9njNleXqtSXAq8A+sO/8XknzeW2yiH80HgPhHZBpwN/FOZ7QEg6RXdDzwPvIT1uSzbGAwR+TawCThFRDpE5HbgM8A1IrIHq7LoMw6x6wtADfBI8jNwt0PscgQz2PY1YFWytPc7wDvz9dx0lImiKIqSF+qBKIqiKHmhAqIoiqLkhQqIoiiKkhcqIIqiKEpeqIAoiqIoeaECoiiKouSFCoiiKIqSFyogilJiROS9IvKSiLy73LYoylxQAVGU0vP7WKMkbim3IYoyF1RAFGWOiMjVInLvDK9VJEdmuyc9/SzWMMJnJx3nE5Enk/tAsv25M27CU5RSoAKiKHPnLOCFGV57D9bk04lJz1UDvwFq7SeSC8seBd6aw8/9Omk24SlKqVABUZS5cxbwgoj4ReTrIvJPk/Yr3MakybUi4gLeDPwR8OZpnsmPk8dnRYZNeIpSElRAFGXunIUVknoY+JUx5uPGGJNcAbDKGHNg0rFXAtuSz21NPrZ5Gch7O5yilJqs462KopxIcqnXCuDbwJ8YYzZNerkJmL53/bbksST/vg14BMAYMyEiURGpMcaMiMivgHRLiD5hjHHEPg5lYaMCoihzYz3W4rEGYGLaayEgYD8QkQqs1bVXici/YEUAakSkwhgTSh7mB8IAxpiri2y7oswJDWEpytw4C3gaa/vi/4hIq/2CMWYAcIuILSI3Aj83xixLbqtbBjwI3AAgIo2AvdZWURyPCoiizI2zgJeNMbuxVqt+LxnWsvklcFny69uAH037/h8B9srfK4CHsv3BTt6EpywMdCOhohQRETkH+LAx5h1ZHPtD4GPGmF3Ft0xR5o56IIpSRIwxLwCPTyvXPYFkxdaPVTyU+YR6IIqiKEpeqAeiKIqi5IUKiKIoipIXKiCKoihKXqiAKIqiKHmhAqIoiqLkhQqIoiiKkhf/HzkglZgiFlSYAAAAAElFTkSuQmCC\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(fe2o3.k, fe2o3.chi*fe2o3.k**2, label='$\\chi$')\n", "plt.xlabel(r'$k\\, ({\\rm\\AA}){-1}$')\n", "plt.ylabel(r'$k^2\\chi, ({\\rm\\AA})^{-2}$')\n", "plt.legend()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "we'll keep plotting with in-line plots, but to avoid having to type out the full markup for the labels, we'll import them and use them: " ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['chie', 'chikw', 'chir', 'chirim', 'chirlab', 'chirmag', 'chirpha', 'chirre', 'deconv', 'dmude', 'dnormde', 'e0color', 'energy', 'flat', 'k', 'mu', 'norm', 'r']\n" ] }, { "data": { "text/plain": [ "Text(0, 0.5, '$k^{2}\\\\chi(k) \\\\rm\\\\,(\\\\AA^{-2})$')" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "from larch.wxlib import plotlabels as plab\n", "print(dir(plab))\n", "plt.plot(fe2o3.k, fe2o3.chi*fe2o3.k**2)\n", "plt.xlabel(plab.k)\n", "plt.ylabel(plab.chikw.format(2))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "we can also plot the background $\\mu_0(E)$:" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(fe2o3.energy, fe2o3.mu, label='mu')\n", "plt.plot(fe2o3.energy, fe2o3.bkg, label='bkg')\n", "plt.xlabel(plab.energy)\n", "plt.ylabel(plab.mu)\n", "plt.legend()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "and now we will do the Fourier transform from $\\chi(k)$ to $\\chi(R)$, using the `xftf()` (XAFS Fourier Transform Forward) function. We'll do the Fourier transform on $k^2$ weighted $\\chi(k)$ with a Kaiser-Bessel Window. " ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "from larch.xafs import xftf\n", "xftf(fe2o3, kweight=2, kmin=2, kmax=13.0, dk=5, kwindow='Kaiser-Bessel')" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(fe2o3.k, fe2o3.chi*fe2o3.k**2, label='chi(k)')\n", "plt.plot(fe2o3.k, fe2o3.kwin, label='window')\n", "plt.xlabel(plab.k)\n", "plt.ylabel(plab.chikw.format(2))\n", "plt.legend()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "and we can show that data as $\\chi(R)$" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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1sXubL+OB8UKIr4QQXwshzgp0ISHEtUKI9UKI9VVVVX203IGhqLKFUVkJmIw+/4QeC8QjIOYEkC4yLRKzyUBJPxUTVuzbyFfxNzI5Mfgs6ECMKPuIsYYyUjY+OqhvGprew2KxUFNTo/8e+hgpJTU1NVgs0Y1ZiMUgeqCcOf+/HhNQAJwC5ANfCiGmSinru5wk5WPAYwCFhYXfqr/AoqrmzhbuHuweF5ZHQJR7y2BvZVialZJ+cmHFH/qcYaIGKjdB9sjIT3QLn7WjmnUH65g7OiPMCZpvO/n5+RQXF/NtewCMRSwWC/n5+VGdE4sCUgwM93mdD/hX2hQDX0sp7cABIcRulKCs658lDiwdDieHa1s5b/rQrjscHheW+ynCk41lV8WE/SUgSQ271A+1RdGd2FINQJ6hnn+uO6IFRENcXJy3gE4Te8SiC2sdUCCEGC2EMAOXAm/5HfMGcCqAECIL5dLa36+rHEAO17TidMmuKbwQwAJxC4ithbxUa78E0Zs7HIy0uYWjJsp/kmYVyhpnLOP9bSU0dzh6eXUajaY3iTkBkVI6gBuAD4GdwMtSyu1CiLuEEEvch30I1AghdgDLgf+RUh59Y5dBgicDq7uAuPtJxflkYQHYWhmWbqWyqQObw9Wna9tTUs1Y4W7RXhNlYWCzagcR72pjiKOU5buOudwIjWZQEYsuLKSU7wHv+W37rc/PErjF/XXMsc/dRHFMtl/BncPPAvEE0+0t5KUOQUqoaGxneEZCn62t6sA3mIUTZ3waxqhdWJ1+7rEJbXy4vZzvzMjr5RVqNJreIuYsEE149lY2k5dqITHeT//tfjEQj5A4Oshxp/JWNPZtjUVdpUqgM4w6QQlCe0PkJzdXQqoKfy0YYWH5rko6HEc//0Cj0fQNWkAGIbvLm5jgn4EFPmm8bgvDFO/dPtQtIGUNfSsgDbXKihC57oKoxvCdRr00V0KGCpjOyTXTYnOy/mDvTE7TaDS9jxaQQYbd6aKoqpkJuQG61nosEE8luteF1U6uW0DK+1hA2hrdoag0dyJdR3NkJ9rbVCPIjDEATMiAOKPgi706fVOjiVW0gAwyDla3YHdKJuQmdd/p38rExwJJjjeRYDZS3ocuLLvThbPFbTGkuGs/bREWE7ozsDwCEu9sY87IdL7YU93Lq9RoNL2FFpBBxu4KdUMenxPAhWVvA2M8GNz/rB4hcbQjhCA31dKnFsjh2laSacZhsECCu417pBZIm1t43DEQbE0sLMhmZ1kjtS223l+sRqM5arSADDJ2lzdhNIjuKbygBCTOpxWBj4AADE21UNaH/bCKKptJpQWXJbVzJoktChcWgDUdDHHQ0UzhyHQANh7ScRCNJhbRAjLI2F3exKjMBCxxxu47HW2dmVfQTUByUixUNHb02dr2V7eQKlowJmaA2W0hRRwD8dSwJCjxsbUwY3gacUbBei0gGk1MogVkkLGnIkgGFqhKdF8LxBgHwgAOJRpDUy1UNLbjdPVNW7CiymayTK0YrekQ715jpDEQ307C5mSwNWOJMzIlL5UNhyKfAqfRaPoPLSCDiDabk0O1rUzICTI33NHWmcILIISyQtw359xUKw6XpKa5b6yQ/dUtZBnbwJqmAvgGU3RZWNBpgXQo4Skcmc6W4gZdD6LRxCBaQAYReyubkJLAGVigLBCTXztmk8VrgeS6x8v2VSZWUVUzqaIFLGlKvMxJUcRAPC4sK5gTvecVjkrH5nDxTUljn6xZo9H0HC0gg4jd5SEysEDFOuL8ZiqbLN4uvX1ZTFjbYqO+1U6iq1lZIKDcWFFbIFYlPO7zZrsD6dqNpdHEHlpABhHflDSQaDYyMjMx8AH2tgAWSHynBdKHxYRFVc2YcGB2ui0QcFsgkcZAugfRQY26HZGRwAYdSNdoYg4tIIOIzcUNTB2WitEQaOYW7jRePwskzurNwspIMBNnFH3iwtpf1UwKbhHwWiBJUVogQgmeO4juoXBkOhsP1wc/V6PRDAhaQAYJNoeLnaWNoeeMO4JYIO45IQaDICelb4oJi6payDK5BaSLBRJFDCQuQcVOfILoAFOGpVLV1EFlU9+2YdFoNNGhBWSQsKu8EZvTxYxQAuKfxguqLsTReePtq2LCospmCtLclpHFnSUWrQXineXuDqK752BPyVPX21GqA+kaTSyhBWSQ4KnGDikg/oWE4I6BdApIXxUT7q9uYVyqu77E7I7R+LmiQmL3SUE2J4HL4Y3dTBqqBGS7FhCNJqbQAjJIWHOglvx0K8PSrMEPcnQEsEAsAS0QKXuvmNDmcHG4tpVRyR4BcacZ+7miQmJv7bRAvEWIKpCeao1jeIZVWyAaTYwRkwIihDhLCLFbCLFPCHFriOOWCiGkEKKwP9fX37hckjUHapk3OjP4QVIqofCPgcR11oGAKiZst7toaLP32voO17bgdEnyE93Ffh4B8cRAIhGrLi4sTx8tnzjI0FS2l0YxnEqj0fQ5MScgQggj8AhwNjAZuEwIMTnAccnATcCa/l1h/7O3spnaFhvzx2QEP8jlAOnqbOHuwWTxBtGhb4oJ91UqS2Go1T1vPd7HAvFxRYXEE0SHTivKZ92T81I4WNNKc4ejt5at0WiOkpgTEGAusE9KuV9KaQNeBM4PcNz/AvcB3/rUnC/dQ5VOGJcV/CDPTTpgJbqPgPRBMeH+ahXnyDK72677xkAgsjiIrwXi1wQSOgPpO8u0G0ujiRViUUCGAUd8Xhe7t3kRQswChksp3+nPhQ0Un+6sZEJOcvj4B6h5IL4EiIFA7xYTFlW2kJMSj8XlGanrFpC47kIQlIAC0mm5TMlLBWB7iXZjaTSxQiwKSKAqOa8TXQhhAP4E/CzshYS4VgixXgixvqpqcI5GbWy3s+5gLadNGhL6QO80Qn8B6ZqFlZ0cjxC9KyD7q5sZk+WuOjdZwWhyv3fnSN2w+LqwvALSmW6ckxJPRqKZHdoC0WhihlgUkGJguM/rfKDU53UyMBVYIYQ4CMwH3goUSJdSPialLJRSFmZnZ/fhkvuO5bsqcbgkiyZGKiD+QXQrOG3gUvGJOKOB7KT4XhMQKSVFlc2MHZKosqbMPm1WfEbqhiWMBSKEYEpeihYQjSaGiEUBWQcUCCFGCyHMwKXAW56dUsoGKWWWlHKUlHIU8DWwREq5fmCW27e8s7WMnJR4Zo9ID32g0x1/CGSBQLc4SFkvBdFrWmw0tjuUBdLR3BlAh05BiFhA/IPoXQseJ+Yms7eiGYfT1Qsr12g0R0vMCYiU0gHcAHwI7ARellJuF0LcJYRYMrCr61+a2u18vruKc6YNxRCs/5WHoC6s7jfx3BQLFb1kgRRVqgD52CHuBohmHwGJygJpDWmBAEzMTaHD4eJgTevRLluj0fQCpoFeQCCklO8B7/lt+22QY0/pjzUNBB/vqMDmdHHe9LzwB3uzsMJbIENTLXy9v6ZX1ri/WqXwjslKVDGQLgISYQzEaQeX3ScGElh4PJMYd5U3Mm5IkJkoGo2m34g5C0TTybtby8hLtTArVPsSD8FiIAFSYnNSLTS2O2i1HX1NRVFlM/Emg8oQ62kMxHeYFAS0mgDGDUnCaBDsKouwul2j0fQpWkBilIY2O1/sreLc6RG4rwAcQWIgcd3dQb2Zyru/uoXRWYlqjT2NgfgOk4KgwmOJMzImK5Fd5TqQrtHEAlpAYpQVuyuxOyVnTc2N7ATPzTZQHQh0CUjnpqgbdW8ISFFVs4p/QM9jIJ61edYaJAYCMHFoCrvKtQWi0cQCWkBilE93VpKZaGbm8DDZVx5CVaL77qf3qtHb7U6O1LYyNtund1UXAQmcTdUN/wwyowkMpoDnTcxNpriujcb23uvlpdFoeoYWkBjE7nSxfHclp00cEnz6oD9Bs7C6F+X1Vj+soqpmXBLG5ySphondYiDBLYkueKvozV3PDXDepKEqkL5HWyEazYCjBSQGWXewlqZ2B4sm5UR+kjOYBeJxI3XejK1mI2kJcUftwtrnTuEdn5Osru9ydI2BBBCvgASqYTFZAp43IdfdE0sLiEYz4GgBiUE+2VGJ2WRgYUGI5on+eF1Y5q7bgwSyc1MsR+3C2lPRhMkgGJWZ6J3d0cWFZYwDYehVCyQv1UKyxcQuXZGu0Qw4WkBikE92VnDi2EwS46Mo0wmaxut+qverxcjthdG2eyuaGZWViNlk6Jzd4evCEsLdTj6cBRLAevLr4dV5ScGk3BR2awtEoxlwtIDEGMV1rRyubeXk8VH27gr0FA9BayqGpydQXHeUAlLZTIFvBhZ0tUAgqCXRBW8Kss/a46xBCxAnDk1mV3lTr05V1Gg00aMFJMZYd7AWgONGhxgeFQjPNELhF3QPkko7PMNKQ5u9x5MJ2+1ODtW0dApIh3vmR0ABidAC8U1BDmKBgGpp0tzhOGoB1Gg0R4cWkBhj7YE6kuNNTHQHiyPGYeteAwJBYyDD01XbkCO1Pesrtb+qBZeEghy/oVHxfgISF40F4isg1qDnTRzqaWmi3VgazUCiBSTGWHewljmj0iNP3/XgaO+ewgudouJ3Mx6eoQSkuK5nArK3Ut28C3L8XViJXQ+MJgbSJYgeH9RyGe8Wrd26Il2jGVC0gMQQtS029lU2c9yoKN1XoATCP4AOYDCoG7PfTdwjIEdqe+YG2lvRjNEgGJ3lFgxbKBdWhFlY3dJ4A5+XFG9iREaCTuXVaAYYLSAxhCf+MTfa+AcEt0AgoDso1RpHisXE4R66sPZWNjEyM4F4k1FtCBlED9eN1+3C8rVA4kJbLhNzk3Uqr0YzwGgBiSHWHajFbDIwPT81+pOdthACEtgdNDwjgSM9dGHtKm9igif+AdARII0X3DGQMAISpQUCqifWgeoW2u3OKFat0Wh6Ey0gMcS6Q3XMzE/rfKqPhlAWSJBA9oiMhB4F0Rva7ByqaWXqMB+hs7WookFP0N6DyRLBPBCPBeIvIMHPm5SbjEsqV5pGoxkYtIDECB0OJztKG5g1MoLZH4EIFgOBoDdjZYG04XJFV0+xvaQBoLuAmJMCpBFHaIEIg2qiGOF5vsOlNBrNwKAFJEbYVdaE3SmZkd9TAQkVA4kPaAUMT7dic7ioag4T5PZjm1tApnURkKbu8Q+IMAbSEaANffA6EICRmYlY4gw6lVejGUB6LCBCiEQhRA98LRFd+ywhxG4hxD4hxK0B9t8ihNghhNgqhPhUCDGyL9bRn2w9Usef4/7K8dWv9uwCjgA3YQ8ma1ALBKKvBdlW0sCwNCsZiT5Bb/9OvB4iioHYAvfwcjnAGXhqotEgmJCTrC0QjWYAiVhAhBAGIcTlQoh3hRCVwC6gTAixXQhxvxCioDcW5BalR4CzgcnAZUKIyX6HbQIKpZTTgVeB+3rjvQcS4/ZXucC4ivTPf92zCzg6wgTRgwtItJlY20sbmTrMr9AxmIBEFAMJYoFASPGZmJuix9tqNANINBbIcmAscBuQK6UcLqUcAiwEvgbuFUJc0Qtrmgvsk1Lul1LagBeB830PkFIul1J67npfA/m98L4DynFlL3S+qD0Q/QU8rUwCERfYAhmWpgLe0dSCNLbbOVDd0tV9Be5xtsndTwjjigLcFkiwOSahMrGSqWmxUdUUnQtOo9H0DtEIyOlSyv+VUm6VUro8G6WUtVLK16SU3wNe6oU1DQOO+Lwudm8Lxo+A9wPtEEJcK4RYL4RYX1VV1QtL6xta29sZ4TzMvoyT1YZ9n0R/kbAWSPebrCXOSE5KfFQWyPYS5TKa6i8gtuYgFogVXHZwhUi3dXYEaAIZfpaIp92LdmNpNANDxAIipQzbdS+SYyIgUA+PgGlCbounELg/yHoek1IWSikLs7Oj7G7bj+zbtY144aBj3NmQlAOlm6O/iDOUgAQvyhuVmcjBmpaI3+abQBlY4BaQQEF0tzCEqkYPJH6RWCDuTKztpVpANJqBIKyACCGuE0I8LoS4VAjxjhDi+j5eUzEw3Od1PlAaYF2nA7cDS6SUg9qHUVm0CYC88XMgbQQ0HAlzRgBCWiDBi/LGDkmiqCryWoqtJQ0MTbWQleT3XsFiIJ7YhjOMgPhbIHEeAQnu/kpPNDMyM4HNh+sjWLlGo+ltIrFATgOuBW6QUp4HzOjbJbEOKAWIabkAACAASURBVBBCjBZCmIFLgbd8DxBCzAL+gRKPyj5eT59jK92OC0H6iKmQmg8NxdFdQMrQMZAQLdXHZidR32qntsUW0VttOFjL7JHp3XfYWoLEQCKwQAJZT57fJUwAfvaIdDYertOzQTSaASASAamR6n/nH92v+/RpX0rpAG4APgR2Ai9LKbcLIe4SQixxH3Y/kAS8IoTYLIR4K8jlBgXW+j1Um4aCOaFTQKK5IbocIF1RV6IDjMlWVkMkVkhxXSulDe3M9W/26HIFj4EE6QbchYBB9PBZWACzRqRR2dRB6VGO59VoNNETyczUhwCklG+7X7/ed8tRSCnfA97z2/Zbn59P7+s19Be1LTay7aW0Z41WG1KHqyfylmpIijBu47nJBq0DcddiSNmtUnxctopbFEXQBdg77Mr/OLs7CB8wiO5xYYWwcJwd3a0X7yTF0Blis4Yra2jDoTpvVplGo+kfwlogUspdAEKILPfrz/t6UccSW47Uky+qMGd7BMSdkRxNHMQ7kCmYCyteWSjO7jkOeWlW4k0G9lWGt0DWHqglOd7kbSPiJVgrd897w1FYIKEN3klDk0mON7G6qCbkcRqNpveJJo33n322imOY7QeKSRMtZOSNUxu8AhJFHMRjgYRq5+57nA9Gg2DckCT2hBEQKSVf7q1m/tjM7sOugrVyh8iC6CHTeEO7pkxGA/PGZLCqqDrkcRqNpveJRkCiHJGniYTyQ7sBMPu6sKCHAhLCAvE9zo8JEczWOFTTSnFdGwsLsrrvDDbOFnyC6CFcWIEskLjIgugAJ4zN4lBNa4/H82o0mp4RjYDoNJdeRkpJc8V+9SJthPpuTVdC0NQtczk43nka5sD7g8xF9zApN4XKpo6QmVhf7lNP+AvGBRCQDo8Lq4dpvEdhgQCcNF6tafnugU/Ik1LijLK7sUYzWIkkiO5BWyC9zMGaVtJtZRAHpLn7QQoBCVnQEoVP33NzDpXGC0HjCROHdrZGP2FsAIEAPt1ZwYiMhM4Rtr6EcmF5rZ9QFkjPCgkBaKlm7POn8JXVziPrb4Pjl4U+vg+ob7Xx1KqDvL+t3DsrflRWImdMymHJzDym5PVgQJhGMwiIRkBu67NVHKNsPlJHvqjGZUrAkOCT2ZSYCa1R+PQDTfTzxVtTETijydsSpKwpoIA0tNn5al81V504GuE/7wNUK3cIEgNxWxYhLRBbj1qZALDzLUTDEYYBV1bdT0Xdd8lJTwl9Ti8hpeS1jSX84b2d1LbamD86k+tOHovRINh8pJ4nVx7gjS/Wc8GINhadupjjJo4M/PlpNIOUiAVESvmN/zYhRDywBPi+lPKC3lzYscDmw/UsNFYj0kd2Ta9NyFJpvJESNgYS+mk+OzmerKR4viltCLh/+a5K7E7JmVNyA1/fa4GESOONupVJZFlY7HgTMsdRPv83THj3Sla88QA5V90V+pxeoN3u5Fevb+P1TSXMHpHGsz+ax+S8rsLV0GLD+cg8Mir38/YLr3Fh7m+5/pSxnDZxCHFGPYpHM/iJxgIBQKhHqNOAK1Di8TbwVO8u69hgzYFarjLXItLGdd2RmAU1eyO/kOcmG7QOxHMzDv40P3N4KluLAwvIB9+Uk5MSz6zhQYZdeQQkUBDda4EEcWG5nCCd3dcuRMgeXoCKvRz4Ek68idzjLmDb8nnMOfQYjdXXk5I1NPh5R0llYzvXPLuBLUfqueWM8dxw6jgM/plpQGrLfmhVMa6zzZt5qLmJHz+7AWuckWn5qWQmmrHGGTEaBFazkbHZSZw6YQgjMhP6bO0aTW8SVkCEEFcCF6PapqcC3wU2o9qsnyalXNaXC/y2UtdiY1d5E7lJlZB2WtedUVsgYVxY3iB68Kf56flpfLqrkqZ2O8mWOO/2VpuDFXsqubhweMCbJOATRO9BHUioBIAgXYS91B1Q4jN0JgDW8+7F+tIiVj79Pyy4+RlMffCUv/FwHdc/t4Gmdgd/v2IOZ00NYpUB7HLX3l7wN0xvXM+H33HwqSxk9f4athY3sK+ymTa7E6dL0tzhoKndwTOGj7lktI3vXfojMpODWJQaTYwQiQVyC7AIqAS+AE6RUh4GEELc24dr+1az5kAtKbRgcTR1ZmB5SMxS1d22VtXeJByOcEH08G1BpuenIqWaNugbB/l8dxXtdhdnBXNfgUrjNcaDMa77PmOYSnRnCOsp3DjcuoPqe/ooAMZNns32EZew8PCL3PrIc5y9+ExOHJdFvOnoB2c6XZJnVh/k9+/tZGiqlaeun8ukoWFiLfs+g7zZMO0ieP+XGPd/xuLzzmNxkM/ySE0LiY/PI6PkCP/+0ypmXP23bm4xjSaWiOQR7WHgaeBOVKPDz4QQrwkhlkZ4viYAq4uqGR2nWoMEFBCIPJAeaSFhiJoKzyz2zUe6drZ9fVMJ2cnxzB0dos1JsD5YEL6ZoreKPpAFEqmAdE40nnL5vdgsmfy/2j9xzVNrmH3Xx/zk+Q28vaWUdnuImSRBcDhdfL12DZ/du5SUD27g0pHNvH3DgvDiISVUbIe8WUpYc6dDRbcwYheG168lo111IPiu60Oufnx5VJ2SNZr+JqwFIqV8AnjC81oI8QtUDOT7QLIQ4lngP1LKPu+R9W1BSslnuyu5JLcdquguIAluAWmp7r4vEGEFJLwFkp5opmBIEmv21/KTU9S26uYOlu+q5EcLRod2B9laAruvIHwzxaOyQA6BJVXVzniwpmFd8gCTXlnGB/O380/XeXy6s4L3tpWTao3jwlnDuKgwP2hqbV2Lje2ljWwvbWB7aSMlezfzhPPXmIUDsyWO7zbfgeB0IHTfMBqKoaMBctzTmHOmwObnVeNJQ5DPcturYEmDpU8S/9z3OEFs5YdPJvP6T04gJ0W7szSxR9RBdHdn3k+BT4UQFtS42SvphyaL3xb2VTZzpLaN+SOalYC4XTBevBZIhLUgHvdQuDTeMEV588dk8trGYuxOF3FGA29uLsXhknxvTpiJwbbmwAF06HRrBUvjdYRYe1yYeep1BzvrZ3yZfAGMP5uC7X/hDzdfi+uCqawqquGl9Ud4Yc1hnlp1kKnDUpg3OpN4k4E2u5N9lc3sqWiiorFznSNTjLxkepCEOAv86CPiHI3wxBnw+R/h7D92f19fKneo7zlT3d+nqM+p/hBkjA58Tsl6GD4PRp8CljRuH36ABbuP48p/ruWV647vEpvSaGKBiF1QIkACu5SyXUr5kpTy/GDHaLrz8c4KACZa6tWTu9VvvkZCpvreEuEY3nBpvBEMZwI4fmwmrTanNxvr1Q3FzMhPZXxOgDkfvnSEcGEJoayLsBZID1xY9Ye6i6/nPU+/Q8WR1v4Dg0GwoCCLhy+bxdrbF3HHdyZjNBh47utDPP7lfl5ZX0xdq40F47L51TkTef7qeWz6zRl8fuJWcm2HiV/6D+KHjFXuqEnnwdaXwqcXe9xVQyap7x4hqdge+Pj2RqjaDfmFYDTBmFNIr1rHo1fMYW9lMz95fiN2p6vLKa02Bx98U8YTX+7n9Y3FVDb2Xkv7NpuTLUfq+Xp/DWUNYWpxNMcs0Vggy4UQrwFveoLoAO6hTwtQVshydEpvSKSUvL5R1Q4kNe1XT6P+upvo48KKBEeImzBEZYEYhKr7iDcZ2FnWyP+ePyX8+4dyYXneP1gQPVQGWagsLCmVC2v8mYH3D5kIE8+DtY/Bwp95r5+WYGbZiaNZdmIQK8BDRzOsfgQmnAsFPtMDZl4B2/8Dez6AyecHP79yp+prZkntXA9CCcuk87ofX7oJkDBstnqdXwg73uDkPPjDd6fxi1e3cs0z67n7gqm02Zys+fhl5uz7C6/ZvsvHrkIATAbB5fNG8MuzJpIYH7VzAYCS+jYe/GgP72wtpcOhBOs0w0Z+mLgWOfdaTlp0XvdmmgNMTXMH/9lUwlf7qjlS10a87OBy8xcMGzGW6YsuIyNJu//6imj+ys4C/h/wbyHEaKAesABG4CPgT1LKHgzzPrbwpG/+/sJpsHInjD6p+0HxKWAwQVtdZBd1tKun/GAGoDEOhDFsY8KMRDMLCrL5z6YSDte2kmg2smTmsPDvb2uGpCHB95vMISyQEC4skxXaA9em0N6grJfkEPUec66CXe/A3o9g0neCHxeITc9Cez0s+O+u28eequIUez8KLSDVeyGroPO1ORHShkP1nsDHl25U3/PcAjJMiQIl67m48GzsThe/e3M7C/64nHxRxQfmX2EVdh4z/4nmZSsojh/D82sO8ezXh/hybzUPXTqT6flB6nYC0NRu528rinhy5QEALirMZ8G4bIZXf8mUFQ/gtBtwrvyKmzb9gSXnns/iyTlHXVXvckkcLonZ1LNcnNL6Nv708R7e3FyKzemiYEgSE7It3FTyWyY0bYYaeHj9FxyY9lOuO3lseEtaEzXRVKK3A48Cjwoh4oAsoE1KqQdSR8HjX+4n0Wzk3PEJ8H5pp4vDFyGUW6utNrKLOjqCu688hHMHublsioWD+//CS1tP4fIFJ5BqjcDvbmsObYEY48NbIAGD6CEsEE98yOPuC8SYUyApB7a8GJ2AOO3K+hhxAgw/rus+gxFGLVAFjMGQEmr3Q77fuVnjlbAEomIHpOSDp6XN0BlK9IvXw4Sz+f68kSwcl83HOyuYd+BREvfbENeugH+eRfKmfzDpwr9x9wXTOHdaHre8vJmlf1/N3RdM5eLC4SF/1cZ2Oy+vO8LfPy+iutnGhbOG8fMzJ6jhXI4OePhOyJqA+MGbuP62kP9qf5Jznh3G7BHpXHnCKI4fm0l2UnzEYtLSbueNtXt5fXs920oasDlcmE0GhqdbmTs6k4UFWZw0PpukEBZUQ5udv39exD9XHkACl80dzhXzR1KQkwxbX4GizchzH6Rh7ypu2PMaF2+bw+KNJSyaOITrThnbbSBae0MlJS0GjjS5KG9ox2wykJ5gZmRmAiMyEvqknujbQo/sXCmlHSjr5bV4EUKchZqEaASekFLe67c/HngGmAPUAJdIKQ/21Xp6i51ljby7rYzrTx5LatM+tTGQgABYM6KwQAK0AvEnXFEeQEczZ626HGE6wvctX+Gc/Vlk729rCR5Eh9AWSCgXVpw1uOhFIiBGk6rBWPMPaK3tvDmHY/sbaqDXOfcH3j9qobJs6g8HzpJrqYaORsgc23V71ng4tCpwJlbVTreby405QQXeS9Z7N43ITOBHJ46C9R8ocRw6A2ZdAev/BYvvhsRMjh+bybs3LeTGf2/kF69uZcPBOn51ziRSE9SDQFVTB9tK6tla3MC24ga+3l9Di83J/DEZPHnlJGb4dhv45jX1OVzxGobUoVgW/5bJb93I0yfUcPvOBH76onI4xJsMDEuzMizdyvEZzSwcncTkqXMwmjpvL3aHk9WvPMiU3Q9zqWxkjHkeXxbehTU5g2abg70VzbyzpZR/rz2M2Wjg+LGZnD45h0UTh5DnnjRZUt/Gv9cc5ulVB2m2Obhw5jBuWTye/HR3rZSU8NVDSvDmXEXa9Ivhz5/yfN7n/G3omTy9+iAX/X0143OSGJZmpbW1ieuq/8ipcg3ZMoF/OS7hOecZXf5ZzEYDY7ITmTUinTkj0ykcmc7IzATd08xNzxylgBAiEWiXUkafXB/6ukbgEeAMoBhYJ4R4S0q5w+ewHwF1UspxQohLUfPaL+nNdXhwuSQt9eVYU4ZgOoqCtJYOBze/uJmMBDPXLBwDO59TO4IKSLq66UVCJBZInDV8Y8I9HyAajsBZ95Ly0a9hy+Mw9Pfh3z9UEB3cFkhPgujxwd1ukQgIwIxLYfVf1c1w7jWhjwV1E1r1kLrZFwSJr4xeqL4fXAkzL+++v7ZIfc/0a1GTOU4F9ptKOweHgWrnUr0XRp/c9fj8QpXa6ys4JRuUcJ16u3o9+0oV59n+uvf3y0g08/RVc3nw4z08//k2xm+7j8nxNax0TOKJ1oV0YEYINc54ycw8Lp87kmn5fmnNUsLXf4PsiTB2kdo243L44n5OrnyOz3/+IZuL69lypIHS+jbK6lu48MgfOf3Ix7AF9r85gsOFt3H84ovZUXSIhtdu5hT7F+yKn46jYD7H7/gXx1f+Es5939spweF0seFQHZ/srODjHRX85o1v+Ieo4pb4NylkBxWuFLY5LmThlDO54dSC7kWWRZ9BxTY4/xH1ecUnw/z/wrz8bn56+q+59qTTeGXDET7ZWUl1Uwd3tv6RmXIt6/OXMbxjD3dX/YufLxpF/fRrqGmxcaC6hb2VTewsa+KdrUrcADITzcwakca0YWnMyEtgdHYyuemJYQtWpZRIpxNhMCCCpXL74XJJKps6OFTTwqGaVg7WtHCotpXqqirOaHqd0xwryZY1lIgcPjGexGcJZ2JIyCAtwUxaQhxp1jgS4k3kpVq4dG4EJQFRErGACCEMwKWo+o/jgA4gXghRhZpf/piUMooGTkGZC+yTUu53v++LqFRhXwE5H7jD/fOrwF+FEMKdYtyrNNRVkf7wRJqklSPkcNA4inLLaAzxySTEm0k0ORAOG0ZnOwZXBwZnB/HYMRmNtMk4HPYOLMLBFx0F7G+czRNXHU96olndCOJTOwdI+ZOQoW4UkeBoDz4LxEMkFsg3r6uYwtwfQ/E6FQc49bbu88p9sbcpEbCEaFluMgdv5x4yiB7C7RapgOROgyFTYMu/IxOQ/SugfBsseTh4vUb2JDAnQ8nGwAJS4xaQjDFdt2eNV9+r93QVkLqD6vfMntj1+GFzYP0/VV+07Alq254PQRigYLH795sKQybD1pe7/H4mo4FfnJrPT3d9H1P9AaqdORzvWsW16R9TfNJ9jJx9Rkg3EYdWQflWOO/PnbE1owlOuAne+znGI6uZM+pE5ox0W3Wf3gX7PqbjuOvYaR/KkK1/55R111O69jcU0IxF2Ng79b+Z+N3fqs9116nw4uXw7s/UDV8I93TJTOaNyeRX50yifM2rZH30SySwN3ku420HeLrtjzBpOOTN6b7mrx5Sf7/TLurcNu9aWPUwfHE/1kue44fHj+KHx4+CdU/Cu2vgrD9SOP86cDrg1atI++IO0oZNYNSEs5kzsjM70uWS7K1sZtP+CuK3PMWkQ++Tt7+EFKEeypqklTqRSKMxnSZzNm3x2bRZsqm3x5HQWsKQjkOMdB5iiKinTZopltkcFMM4GDeWdks2wpJCktmAxeDCKB00t7ZS1SpZ2ZLPdkceTpQ4WQ1Ork/6gj84XibF1UBRUiG7Eo8np3k3N7Q8w7XNL7HKeTJvtZ7Bmo6R1LRLWm1OZg5PG1gBQWVYfYJq6/6NlNIFIITIAE4F7hVC/EdK+dxRrmkY4DsQvBiYF+wYKaVDCNEAZAJd0paEENcC1wKMGNGzD88cZ2J1wc9JaD5MUuthFrRsJaV1BQQYfmfHhI047MQBLuKx4xBxSAkLeYefjFpA+sjT1B/r7vdh/OLggW9rOpRtiWyREcVArKEbE9rbYd8nUHiV+g9+3DXqqX33BzD9ouDntblDYJYQAduQFohbWKJN441UQEBZIR//pntgOxCr/qLiJtNDGLQGA+TN7Ax8+1NbpJIg/GtUPO9dvQ/G+vQ/q9qlvvtbo55AevH6TgHZ97GKrfi646ZfDJ/cAbUHutaYfHon8fVFcMVr5IxbBEXLSX37p6R+eCnUXgOn/iq4W2/N39TfoP/nMOsKVQez8kEYdaLatuUl+PL/YM4y4s+5l5lCIM+7nn0fP0Hzjg9pSMlm5Nk3U5A/rfM6E8+Bk/4HvrhP1b7MubJzn5SIrx9l6Ie3Kyts6b+YkjZc/Z3/+zJ4+6dKbH3jU6Wb4cDncMZdXR9GLKkw/zq15uL16nq1++Gj38CYU2Hej9VxRhNc+A/lsnv1R7DsbSXgbgwCJtQuZ8K636oebMMKseWexhFnIo0t7dha6nG11WNuqyLTVkp621ZSUV0E2oSVqvjhlCWdSFHCMOIcLaS1FzO7ZT+LOtZhaJYQpOHAL0zgMFtoTZ+AKSUHa9UWRHOFSr454y7G5s3C6ygt/wbzusc5ZesrnNL6EcQlwIipkD4KmTcTODHwmxwF0QjI6e7YRxeklLXAa8Br7uD60RLojupvWURyDFLKx4DHAAoLC3tknSSmZHD893/TdWN7g7rhuhzqJhdnAWM8cUYTAT8Alws2PUv6OzfDq1fBcVerG2CowG40LixnL8RAqnaq64yYr14PnweJQ2D3u6EFpL2+c70h3/soLBApuwttS7USplCuMw/TLoJPfqeC6Yt+E/y48m3KDbLod+E/z7yZsOYx9zheP/Gr2afEw+j33yspR2XY+WdiVe5U3z0i4SFrvDq+eC3M+j40Vah039N+3fW4qUuVgGx7FU7+H7Xt4Erl2pp3PYxzu6DGngo/WQ2f/i+s+buqZznhRpj/k64xrPJvYOc7sPCW7r3Y4qzq+E/vVOnMCZnw1g0qLnTOA95/J2GKZ9zZ/wVn/1fwz/CUW5Wl+97/qHhO3kz1eX74K1j3OExaAt99rLMZqCkeLvoX/H0BvH41XLey0zr+6iH1Wc1Z1v19TrgRNj4Lb90ES5+E165WAn/+X7v+XZkT4LIX4cnF8MwFcPZ9ytIr3wpfPACHVirr84rXYNzpmIGQKQr2drC1YE3IYIQQBHyEtbWqe0FHk0rQMJjUw5TRrJJTSjZiKt1ESvlWaC2DkSfAzO/DuNO7/5/InQrfeQjO+F/1MHhkjao7Ovw1oqUSjg/xb9FDosnC6iYePTkmAorp+u+SD/jPd/UcUyyEMKG6BEd4t+0FLKmhXTb+GAzqCUu64J2bVQqoNUP9EQQjIUPFLOxtnf+BgtEbWVjl7sK33Omda55wFnzzn9BBeo8FYg1lgZjBHiRZz2uBBMnC8hzj//6ttermFUkwM2Wo8uNveg5O/mVwd9/nf1Q3ocKrwl8zb5YS3Kqd6ubnS83+7gF0UGvNKujeqr9ql3Jl+rsKDQb1pLn3YyWiO99S2yec2/W4tOEw8kTY8oJKO3Z2wJs3QPro7oJpToSz74XZP4TP7obl98C6J+DcB1V9issJH90OlhR14w3E8TfA7vfglWWAUL/rxc8EbqYZCoMRvvcE/OMkePo7yto5+KX6PE64EU6/q7sb0ZIK330c/nU2vPPf6ucja1UMaMEtgf9fxierG+tL34dH56u/x8te7OpG9JCcC1e9Dy//EN64rnN7Yjac9yeY9cPuDwbBiLN0FvEGw5wQomFqjvpsQz3ABcKSAlO/q7489L53H4guBvID4EFU7ON2KeXTQoj5wHnA2VLKAE7JHrEOKHDXmpSg4i7+jua3UIWLq4GlwGd9Ef/odQqvgpQ8FWs45Zehn549T/RtdREISHvoNFpQf8gdTcH3V3wDcYnqpuNh/Nmw8Rn1JBOoXgU6LZBQLqyILJAAN3XP721vCyAgNWpyY6TMvw6e+5660cy4tPv+ko2w8204+dbQ1pQHT71GycauAuJJ4fUE2v3JLFA3SV+qdnW3PjxMOEdlfJVtUU/82RM7+2t1+f1+om6Qqx9WLrK6A7Ds3eB/YzmT4bIX4Mg6ePe/1bmeB5r9K9TNMtjnYDLD5S/D+ieVO/b4/1I3rZ6QmAVXvQfv3AKbX4CscXDpCzDx3ODnjJiv3G+f3a3+9ks2qRTohT8Lfs74xXDNcjjwhcpgC/QZekgdBj/6CPYvh8pdqlnnuDPCi0Es00dZY9G4sH4LnAMcAG4QQnwMTAT+DdzcWwtyxzRuAD5EpfH+U0q5XQhxF7BeSvkW8CTwrBBiH8ryCHBHiFHGnxm8etoXq9s33VqrRCcUjvbwsQCTJXRrlPJtKm3U94lv1IkqYHvgy+ACEqkFEsz6CdlMMUQjxtaayOIfHsYuUsHmFX9QBYC+ouy0w9s3KRfT8T+J7Hrpo9QNtnQT4GOxNJWDvaV7AN1DVgFsfVFlrsUnBc/A8jD+TEAoF9yhVcrtE4iJ56qb3Cd3qNcLf67qVcIx/Dh1Y131F1j7hLL2Tr8DCv9f6PMSMlQMozdIHwU/iLKV3sKfq7+L1Y8qq+F7T4ROJQfl4smdGtn1DUYlqKG8BJqoBKRZSrkOQAhxJ1ABjO+LQkIp5XuozC7fbb/1+bkdiNKuG2R4gpuR1ILY2yNzYQVLifW0Hp9yYdftllTlqjnwBXB74HM96wtngYRrphjI/eFpQx9IfFprlOsmUoSAs+6FZ5bAR7/u9Nc7HfDWjUpAL3kuctekEOqz8Q+ke1N4A7iwoDOQXrNP+fw9GVjB0rkTs9QT/uq/QsZYmH998PVc/AzseEMJ24SzI/s9QH32C38W+gk+1hBCxYJOvlXd7HVdxoAQjYDkurOadru/inUVeh/idWFFENpxtId3c5kswYPobXXKFeVftwAqOLr6r51PzP54XVghbrzGEGm8zo7gbVhCtaFvrem00iJlzMnKf7/6rypjKb9Q+fLLt6m6imjbneTNUsFb3ziVN4U3mIC4U3mrdisB8QbQJwY+HlSR4JBJKs4R6nM2JwROK/42E2k8QtMnRFOj/ztgOnAXqiZjmhDiEyHE/UKIY+yvth/wdWGFw94WQSFhiCB6/SH1PX1k930jT1TZZqWbAp/bVq/qWQwhiqjCWSDRtqF3uVQmXCi3WTAW362yVMq3qaC50wFL/wkn/yL6a+XNVp+NJwEBVIDcGB84QAsqBhKX0Gm5lGxQmTdDQvjkhVDps8HawGs0A0Q0WViP+b4WQuSjBGUacDbwQu8u7RjHN4gejogtkGAC4i5YDDRbI99Ti7AucGC4vR6sYdw+JksYCyRIVpQnaOnverM1AzK6TDgPQsCJN6kvpz36zCFf8map76WbOmsSyr9RLUmCCarRpOoLjqxRrw9/rYLwkYwu1mhijB7PA5FSFksp35NS/lFK+YNAx2iOAnOCuvFG4sKKxAIxxQcXkDq3BRKor1NChnJtFa/vvg+UBRIq/gFKIHrTAuloVN/jj3Jel9UPowAAFiVJREFU+NGIB6jkhsQhndaZlKpmwJMKHYzhc6Fsq3o4KNkAI44/unVoNANENC6s5UKIG4UQXe4yQgizEOI0IcTTqNRaTW9hzYDWMBaI0w7SGYEFYlUZNq4ArcvqPaNhgwhB/nHKAgmUKd1eH96VZIpXrh6Xq/u+UBaIV0D8xMfT4r2nqaO9hRBqfofHHdVUpmIzYQVknvo3W/Ww+v2H+zda0GgGB9EIyFmAEzUPpFQIsUMIcQDYC1yGmgfyVB+s8djFmh7eheVpTxKJBQKBrZC6Q4HdVx7yC6GlMnBvrra68HUTHoEIZIWEKlL0CohfC5Z2twXSExdWb5M3SwXEO5qVVQEwNIyAjDwRknJV+4+ELBXc12gGIRELiHt87aPAacBIYBEwS0o5Ukp5jR4m1QckZIR3YXkEIZwF4ikoC9QPq/5QYPeVB89ci+J13fe11YV3YYWq53DaordAvC6sGBCQ/EJAwqGvVFxDGFQ9TSjik1SreIMJzrkvNoRQo+kBPZmUshqYKKUs02m8fUxvWiAeAbEF6NrWWBq8KzCobrZxCd0FxGlXPamSc0O/t9cCCRBID9WGxRtE97dAYsSFBTDqJOVq3PJv1YtqzKmhuxd7mLwEfnEApn6v79eo0fQRPRGQHwPPCyF+7r9DCPHB0S9J4yWShooRWyDuGo4OPwHpaFKiEkoEjCaVsuovIM0VgAwvIOEskLAurCAxkKMNovcGJjNMW6rajDQcDtwmJRixIIAazVEQdRWOlHKdEGIe8KQQ4jPUPI4ZwAn04ZTCYxKPCytQN1oPUVsgLV23N5Wr76Fmi4Ny1ax+RKXUeiwD77lhWq0YfZoi+uMIMUskWNymI4ZiIKAa/9UUqd8lVA8njeZbRtQCIoS4GxU0bwO2Ar8BPgXOklKW9O7yjnGsGSp7ydYc3C3itUDCCYjbAvF3YXlFIIwVkV8ILrtquuipDWl0N0lOCSM+nkaJAS2QUEH0IK1M2huUWyxWmtuljYi+l5NG8y2gJy6sZcBxUsqpUsrLUcWEycADQghtk/cmnuymUG4srwUSYRA9qAUSRkA8w3V860Ga3AZnxBZIoCysEEF0owmEMYCANMaG+0qjOcbpiYCMdw+RAkBKWSWlPB9YAazprYVp8GmoGEJAIrVA4oNZIB4RCCMgKXlKKEo2dG5rLAVDXASdgHtogYB7lnuALKxYcV9pNMcwPYmBBBjmClLKfwghPj36JWm8RNLOJGILxCMgASyQuITInuiHzYYSPwskOTf47HAPxhBBdEeIQkJQ4hIoC0sHoDWaAacnFkhQpJT7evN6xzyRNFSMOAYSJI23uVyJQCRdaEbMV8OSPG6vprLwwXfoOlnQn1CFhBC4i7B2YWk0MUGvCoiml4lkJkikFojJoorcAlkgkYgAqHnMoIrmQFWmhxt2BREUEoYTED8LpKNRWyAaTQygBSSW8VR4hxKQSC0QIZQby78OpKlMTeKLhNwZYE6Gg19BS40ahpQ3M/x5IYPoHcFnlENwC0THQDSaASemBEQIkSGE+FgIsdf9vVuTJSHETCHEaiHEdiHEViHEJQOx1n7BZFY37EiysOIiaAduTurqwpIyOgvEaIIR89SsaE878uHzw5/nDaL7ubBcLpUaHNICCdBFuL0hNtqYaDTHODElIMCtwKdSygJUbUmgAdCtwA+llFNQDR7/LITowWShQUJCmHYmjnZAhA5EezAndnVhdTSBvTV8BpYvU76r4iBf/VllYB2NBeKJiYSyQOKsXeeBOB1q5rh2YWk0A06sCcj5wNPun58GLvA/QEq5R0q51/1zKVAJZPfbCvsba3roNF7PONVIguDmxK4WSKRV6L5MuVBZMkfWKPEI10IFfGIgfhaIR1CisUBirQpdozmGibWBwjlSyjIAKWWZEGJIqIOFEHMBM1DUH4sbEKwZ4bOwwrUx8WBO6mqBRFoD0uUaCXDm79UkvRNujOycYO3cPYISMgvLCo6qztex1AdLoznG6XcBEUJ8AgS6Y90e5XWGAs8CV0opA0wqAiHEtcC1ACNGhGhXHstY0wPP4fBgj2CcrYf4pE7RgMir0P2Zc6X6ipRgWVheCyRMHYhvFpbXAtECotEMNP0uIFLK04PtE0JUCCGGuq2PoSj3VKDjUoB3gV9LKb8O8V6PAY8BFBYWBhinNwgINxPEEcE4Ww/+MZCeWCA9IVg7d4+gRFMH0t5L42w1Gs1RE2sxkLfoHIt7JfCm/wFCCDPwH+AZKeUr/bi2gcGaoeaOBxoHC9FZIObErmm8zRXKrRXJ/IqjQbiD/N0sELeghLJA4ixdK9G9s0B0DESjGWhiTUDuBc4QQuwFznC/RghRKIR4wn3MxcBJwDIhxGb3VwSpQIMUazog1ezxQERlgQSIgfS19eHBGN9DC8TaVUC0C0ujiRliKogupaxBjcr1374euNr983PAc/28tIHDtxrd87MvUcVAklUWlssJBqOKgST1k4CYQlggoQQkPkml7bpcqudWewyNs9VojnFizQLR+GMN087E1tzZ5yocCVmA7MzqaiiB1GFHvcSIMMZ3FxBHBGm8/nNMYmmcrUZzjKMFJNbxWB0t1YH321oiF5Akd7lMS6WyQppKIaWfBMRkDlBIGIELy78NfUejqro3xvX+GjUaTVTElAtLEwDPrI3WUAKSFNm1Ej0CUtU57XBALZAIguiebKsOHwtEZ2BpNDGBFpBYx3vT7w0BcddlNld1npOSf3TrixRTgCB6JBaIZ50dTep7e4POwNJoYgQtILGOOVFlWQWyQKSMLgbi68LyuID6ywIx9dQC8biw3AKiW7lrNDGDFpBYRwhlhQSyQOxtgIxcQCxpqgFiS5USH+i/GEigNN6IYiDuGhWvC6uxc1KjRqMZUHQQfTCQkBlYQDw1HZEKiEeMmqugsQTiEvvvZhwojbcnWVhtdWD99jZf1mgGE9oCGQwkZgd2YXncOpHGQAASs5QF0tGg3FeRdPHtDYzxPWvn7rVA3L9rW21nYoFGoxlQtIAMBhKzoGpX9+3RWiAASUNUDKStDnKn9876IuH/t3f/sVWd9x3H3x/b+EdsQyAkhgAJZKJd0yZZWq9K2rVKIZG6diuJqqnrspZujTqp69b9Xtr8sUn7J1q3aZM2TWK0C9O6dFNGk3TKulBWNZWmodKyLiQM0SYpkBBwSQgQE2zMd3+cc+PLzcVcn+t7ftif1z/nxz1cf49AfPw8zznP09P7xuncW2mB1AfI1LlkEH2gyQuVZpY7d2FVwVx1YUHSmjm2L1mOdvXonJTXkmYtkHOtzMbbD+pOurBqL1M2eyPfzHLnAKmCwSuTOa/q57GC6XGB2XRhrbhxeoGmVTkGSNOpTM4mg/pdM/wzlJInsc6emp6V2F1YZqXgAKmCweXJ9tWxC89naYH81C9N77eyHO1c6Rlo/hjvTE9g1fQtTp7Cqk3B4qewzErBYyBVUP8y4dK10+ezBMjA5XDb5+HH+2f359rVuDQtJC2QltZyH0oeGBg/nhy7BWJWCg6QKhgaSbanj154/vUAmUUXFsBtf9h+TbO1aCAJkIjpJ7/OnW2xBdLYheUxELMycBdWFdQCpLYEbU1tDKRvlgFShJ4+iPMwNTl9bmqitRZI33BDF5YDxKwMHCBVMHglIDjdsMLvxKugrtYXlCpST7pmSX03VqstkN6hJCzHjydPc+XZ9WZmF+UAqYLunmQg/XRjCySdSDGvlwHbUQuK+gCZmpj5HZCagcuT8DjzUtJ9VYX7NVsAHCBVMTQCpxrHQGYxkWLRFrXRAlm6LnkC7eUfufvKrERKFSCSlknaIelAur3o85qSFkt6XtJf51ljYYZGmg+iVyVAat1skw0tkFYC5IqfSLbPfxeGR+a+NjPLpFQBAtwL7IyI9cDO9Phi/gT4Vi5VlUGzAHnt5OyfwCpKLUAaWyCtDKIvSwNkchxW3jT3tZlZJmULkE3AtnR/G3Bns4skvQMYAR7Pqa7iDY8kg+jnz0+fq9LEgs0CZKrFLqxl103vr3rH3NZlZpmVLUBGIuIIQLq9qvECSV3AnwO/f6kvk/QpSbsl7R4bG7vU5eU2NALnJ6fng4JkYLkqAbKoWQukxcd4ey+D4auT/avfPve1mVkmub9IKOkbwIomH93X4ld8GngsIg7pEk/jRMQWYAvA6OhozKbO0hlemWxPvQCDtXXSK9gCmczQAoFkHCSmYPHVc1+bmWWSe4BExO0X+0zSUUkrI+KIpJXAsSaX3Qq8R9KngSGgV9LpiJhpvKT6lqxJtq8chhU3JL+9nz1Znbeym46BtPgYL8D77oPXTvgRXrMSKdtUJo8Cm4H70+0jjRdExN21fUmfAEbnfXgALFmdbF85nGyrNrX5RcdAWujCArj21rmvyczaUrYxkPuBOyQdAO5Ij5E0KmlroZUVbfDKZLzglUPJcdUmFmw6BnK2Gm/Rm1lTpWqBRMRxYGOT87uBe5qcfwB4oOOFlUFXFyxeNd0CqVqANBsDmRyHRZcVU4+Zta1sLRCbyZLVbwyQqryZ3diFNTUJ589Nv6FuZpXjAKmSJWvqxkAqtjpfY4BMjidbt0DMKssBUiVLVsOpI8lv7693YVWkBdLdA109dQFyJtm6BWJWWQ6QKlm2LllT4+XnkndAeodbf4+iDHr6p8dAaothuQViVlkOkCoZeWuyPboXTr4AQ1cWW89s9fS7BWI2jzhAqmT5m0HdcPQpePHJ6UCpiqYB4haIWVU5QKpkUT8sXw8H/xte+iGsuLHoimZnUX+TQXS3QMyqygFSNSNvhee+nexXLUB6+pOXB8FdWGbzgAOkaq6pm9JjZQUDpBYcfozXrPJK9Sa6tWD0k3BoVzIOUpuhtyrcAjGbVxwgVdPVBR/eChHVm5l2Uf/0JJBugZhVnruwqqpq4QEXvgfiFohZ5TlALD+9gzBxOtl3gJhVngPE8tM3XBcg48liUl3dxdZkZpk5QCw/fcNw9lSyP3nGrQ+zinOAWH76hmFqInkSy2uBmFWeA8Ty0zucbM+ecgvEbB4oVYBIWiZph6QD6XbpRa67RtLjkvZJelrS2nwrtUz6GgPELRCzKitVgAD3AjsjYj2wMz1u5h+AL0TEW4B3Asdyqs/acUGAjLsFYlZxZQuQTcC2dH8bcGfjBZKuB3oiYgdARJyOiPH8SrTM3tACcYCYVVnZAmQkIo4ApNurmlzzJuCEpO2S9kj6gqSmz4JK+pSk3ZJ2j42NdbBsa0nfULI9ewomX3UXllnF5T6ViaRvACuafHRfi1/RA7wHuBk4CPwz8Angi40XRsQWYAvA6OhoZCjX5lLf4mQ7cTptgfQXW4+ZtSX3AImI2y/2maSjklZGxBFJK2k+tnEY2BMRz6R/5mHgFpoEiJXM611YJ+HMCei/vNh6zKwtZevCehTYnO5vBh5pcs13gKWSauu5bgCezqE2a1dv2oV15gSMH4fBii3Ja2YXKFuA3A/cIekAcEd6jKRRSVsBImIK+D1gp6QnAQF/V1C9Nhu9g4DgxEEgHCBmFVeq6dwj4jiwscn53cA9dcc7gIqtpmRIyTjIy88mx4NXFFuPmbWlbC0Qm+/6huGlZ5J9t0DMKs0BYvnqG0q7sHCAmFWcA8TyVXsSCxwgZhXnALF8DabvhqoLBppOdWZmFeEAsXxd+65kG+e9mJRZxTlALF/r3lt0BWY2Rxwglq+RtxVdgZnNkVK9B2ILQFcX3LUFBjyNiVnVOUAsfzd9pOgKzGwOuAvLzMwycYCYmVkmDhAzM8vEAWJmZpk4QMzMLBMHiJmZZeIAMTOzTBwgZmaWiSKi6BpyIWkM+FEbX7Ec+PEclVMVvueFwfe8MGS952sjounaCwsmQNolaXdEjBZdR558zwuD73lh6MQ9uwvLzMwycYCYmVkmDpDWbSm6gAL4nhcG3/PCMOf37DEQMzPLxC0QMzPLxAFiZmaZOEAuQdL7Je2X9ANJ9xZdT6dJWiPpm5L2SXpK0meLrikvkrol7ZH0b0XXkgdJl0t6SNL/pX/ftxZdU6dJ+u303/VeSQ9K6i+6pk6Q9CVJxyTtrTu3TNIOSQfS7dJ2f44DZAaSuoG/AX4WuB74qKTri62q484BvxsRbwFuAX59AdxzzWeBfUUXkaO/Ar4eET8J3MQ8v3dJq4DfBEYj4m1AN/CLxVbVMQ8A7284dy+wMyLWAzvT47Y4QGb2TuAHEfFMREwAXwE2FVxTR0XEkYj4Xrp/iuQ/lVXFVtV5klYDHwS2Fl1LHiQtBt4LfBEgIiYi4kSxVeWiBxiQ1ANcBrxQcD0dERFPAC81nN4EbEv3twF3tvtzHCAzWwUcqjs+zAL4z7RG0lrgZmBXsZXk4i+BPwDOF11ITq4DxoC/T7vttkoaLLqoToqI54E/Aw4CR4BXIuLxYqvK1UhEHIHkF0Xgqna/0AEyMzU5tyCee5Y0BPwr8FsRcbLoejpJ0s8BxyLiu0XXkqMe4O3A30bEzcCrzEGXRpmlff6bgHXA1cCgpF8utqpqc4DM7DCwpu54NfO0yVtP0iKS8PhyRGwvup4cvBv4kKTnSLopN0j6x2JL6rjDwOGIqLUuHyIJlPnsduDZiBiLiElgO/CugmvK01FJKwHS7bF2v9ABMrPvAOslrZPUSzLg9mjBNXWUJJH0i++LiL8oup48RMTnImJ1RKwl+Tv+z4iY17+ZRsSLwCFJb05PbQSeLrCkPBwEbpF0WfrvfCPz/MGBBo8Cm9P9zcAj7X5hT7tfMJ9FxDlJnwH+g+SJjS9FxFMFl9Vp7wY+Bjwp6X/Sc5+PiMcKrMk64zeAL6e/HD0D/ErB9XRUROyS9BDwPZKnDfcwT6c0kfQgcBuwXNJh4I+A+4F/kfRJkjD9hbZ/jqcyMTOzLNyFZWZmmThAzMwsEweImZll4gAxM7NMHCBmZpaJA8TMzDJxgJiZWSYOELOSkXSPpCclzesX+6z6HCBm5fNhYANz8KawWSc5QMw6SNKvSXpR0vcl/VDSxxs+H5D0rXTxsppdJBPd7aq7rlfSE+k6Fmal4AAx66wbgT+OiJuAjwKNE1T+KrA9Iqbqzg0B3waW1E6kC5rtBD7S2XLNWucAMeusG4D96f6zwETD53dTNyuqpC7gLuDjwF0NLZOH0+vNSsEBYtZZNwD70+nDPwPcV/sgnQX3uoh4ru76DcD/pue+nx7X7AV+utMFm7XKAWLWIZLWAMPAYyRjGj8DPFB3yXKgcR3yu4EH0/0HqWtxpN1cE5KGO1Sy2ax4QM6sc24EnoiIDelyqnuBW4H/Sj8/A/TXLpY0QLLk6kZJf0ryC96wpIGIOJNe1ge8ltcNmM3ELRCzzrmBZNEiIuJl4J+AD9Y+TM91S6qFyIeAf4+IayJibURcA3wN+HkASVcAteVYzQrnADHrnNcDJPU14AMN1zxO0rUFSXfVVxs+/ypQW173fSTdYWal4BUJzQok6WbgdyLiYy1cux34XETsv9S1ZnlwC8SsQBGxB/hmw+O6b5A+sfWww8PKxC0QMzPLxC0QMzPLxAFiZmaZOEDMzCwTB4iZmWXiADEzs0wcIGZmlsn/A/Rci5lliGarAAAAAElFTkSuQmCC\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(fe2o3.r, fe2o3.chir_mag, label='chi(r), mag')\n", "plt.plot(fe2o3.r, fe2o3.chir_re, label='chi(r), real)')\n", "plt.xlabel(plab.r)\n", "plt.ylabel(plab.chir.format(3))\n", "plt.legend()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.7.7" } }, "nbformat": 4, "nbformat_minor": 2 }