{ "cells": [ { "cell_type": "markdown", "id": "f59a21dd", "metadata": {}, "source": [ "# Visualization Tutorial for CAMEA\n", "In this tutorial script data from the CAMEA multiplexing spectrometer at SINQ PSI will be loaded, converted and visualized using an interactive 3D visualization. All of this requires you to already have installed the software package MJOLNIR in you current environment. For instructions on this, see the provided tutorial overview.\n", "\n", "## Script build up\n", "This tutorial script is split into multiple parts where key functions are called one after the other. Some of these parts are supposed to be call multiple times, e.g. plotting of data, while others need only to be run once as an initialization of packages and loading of data, these will be signified with a comment in the top of the cell\n", "\n", "## Nice to know\n", "All plots generated directly through MJOLNIR shows the current mouse position in the relevant space through a tool tip in the matplotlib window. It is most likely lokated in the top right corner. If you cannot find it, try to expand the windows size." ] }, { "cell_type": "markdown", "id": "ca8a57b5", "metadata": {}, "source": [ "## Check of package installation\n", "First of all, a check of the packages needed for this tutorial is performed by simply importing MJOLNIR and printing the current version of the software. If this step succeeds all of MJOLNIR's dependencies have an overwhelming probability of also being installed correctly, e.g. Matplotlib or numpy." ] }, { "cell_type": "code", "execution_count": 1, "id": "0323d18e", "metadata": { "execution": { "iopub.execute_input": "2023-05-01T08:23:07.691521Z", "iopub.status.busy": "2023-05-01T08:23:07.691521Z", "iopub.status.idle": "2023-05-01T08:23:07.718643Z", "shell.execute_reply": "2023-05-01T08:23:07.717767Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Your version is 1.3.0 and MJOLNIR is correctly installed.\n" ] } ], "source": [ "import sys\n", "sys.path.append(r'C:\\Users\\lass_j\\Documents\\Software\\MJOLNIR')\n", "# Run once\n", "try:\n", " import MJOLNIR\n", " print('Your version is',MJOLNIR.__version__,'and MJOLNIR is correctly installed.')\n", "except ImportError:\n", " print('MJOLNIR could not be found. Either the current environment is different from the one into which MJOLNIR was installed, or the MJOLNIR installation failed. Please contact the instructors :-/ .')\n", "\n", " " ] }, { "cell_type": "markdown", "id": "a1196873", "metadata": {}, "source": [ "## Helper functions\n", "In this tutorial some functions need to be used which are not standard. These are simply given in the following cell" ] }, { "cell_type": "code", "execution_count": 2, "id": "86495ec2", "metadata": { "execution": { "iopub.execute_input": "2023-05-01T08:23:07.720685Z", "iopub.status.busy": "2023-05-01T08:23:07.720685Z", "iopub.status.idle": "2023-05-01T08:23:07.733653Z", "shell.execute_reply": "2023-05-01T08:23:07.733151Z" } }, "outputs": [], "source": [ "# Run once\n", "\n", "### helper function to print the values of your fit\n", "def PrintParameters(vals,err):\n", " if not np.all(np.isfinite(err)):\n", " for par in range(len(vals)):\n", " print('{} +- {}'.format(vals[par],err[par],[par]))\n", " return\n", " errdecimal = -(np.floor(np.log10(np.abs(err))).astype(int))\n", " \n", " errdecimal+= (np.floor(err*10**errdecimal)==1).astype(int)\n", " print(errdecimal)\n", " for par in range(len(vals)):\n", " print('{} +- {}'.format(np.round(vals[par],decimals=errdecimal[par]),np.round(err[par],decimals=errdecimal[par])))\n", " \n", "def Gaussian(x,A,mu,sigma,B):\n", " return A*np.exp(-np.power(x-mu,2.0)/(2.0*sigma**2))+B\n", " " ] }, { "cell_type": "markdown", "id": "29d27b4d", "metadata": {}, "source": [ "## Loading of data\n", "We are now in a position where data can be loaded. One experiment usually results in multiple data files each containing a specific scan. These different data files are then to be loaded and visualized together. This is taken care of by the DataSet object. To load the data a list of file locations has to be provided to this DataSet object, but because we as scientists are lazy, MJOLNIR contains a function to generate these lists from the folder path and the file numbers.\n", "\n", "In the cell below change the folder to be the correct for you. Running the snippet below might take some time as a lot of data files are loaded" ] }, { "cell_type": "code", "execution_count": 3, "id": "7eca0219", "metadata": { "execution": { "iopub.execute_input": "2023-05-01T08:23:07.736682Z", "iopub.status.busy": "2023-05-01T08:23:07.735687Z", "iopub.status.idle": "2023-05-01T08:23:11.554812Z", "shell.execute_reply": "2023-05-01T08:23:11.554045Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "DataFiles loaded: C:\\Users\\lass_j\\Documents\\CAMEATutorial\\Data\\camea2021n001371.hdf\n", "C:\\Users\\lass_j\\Documents\\CAMEATutorial\\Data\\camea2021n001372.hdf\n", "C:\\Users\\lass_j\\Documents\\CAMEATutorial\\Data\\camea2021n001373.hdf\n", "C:\\Users\\lass_j\\Documents\\CAMEATutorial\\Data\\camea2021n001374.hdf\n", "C:\\Users\\lass_j\\Documents\\CAMEATutorial\\Data\\camea2021n001375.hdf\n", "C:\\Users\\lass_j\\Documents\\CAMEATutorial\\Data\\camea2021n001376.hdf\n", "C:\\Users\\lass_j\\Documents\\CAMEATutorial\\Data\\camea2021n001377.hdf\n", "C:\\Users\\lass_j\\Documents\\CAMEATutorial\\Data\\camea2021n001378.hdf\n", "C:\\Users\\lass_j\\Documents\\CAMEATutorial\\Data\\camea2021n001379.hdf\n", "C:\\Users\\lass_j\\Documents\\CAMEATutorial\\Data\\camea2021n001380.hdf\n", "C:\\Users\\lass_j\\Documents\\CAMEATutorial\\Data\\camea2021n001381.hdf\n", "C:\\Users\\lass_j\\Documents\\CAMEATutorial\\Data\\camea2021n001382.hdf\n", "C:\\Users\\lass_j\\Documents\\CAMEATutorial\\Data\\camea2021n001383.hdf\n", "C:\\Users\\lass_j\\Documents\\CAMEATutorial\\Data\\camea2021n001384.hdf\n", "C:\\Users\\lass_j\\Documents\\CAMEATutorial\\Data\\camea2021n001385.hdf\n", "C:\\Users\\lass_j\\Documents\\CAMEATutorial\\Data\\camea2021n001386.hdf\n", "C:\\Users\\lass_j\\Documents\\CAMEATutorial\\Data\\camea2021n001387.hdf\n", "C:\\Users\\lass_j\\Documents\\CAMEATutorial\\Data\\camea2021n001388.hdf\n" ] } ], "source": [ "# Run once\n", "from MJOLNIR.Data import DataSet\n", "from MJOLNIR._tools import fileListGenerator\n", "\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "plt.rcParams['figure.dpi'] = 200\n", "\n", "# Load data files camea2021n00xxxx.hdf with the following numbers\n", "numbers = '1371-1388'\n", "\n", "##### CHANGE TO YOUR PATH TO THE DATA #############\n", "folder = r'C:\\Users\\lass_j\\Documents\\CAMEATutorial\\Data' #\n", "###################################################\n", "dataFiles = fileListGenerator(numbers, folder, year = 2021)\n", "print('DataFiles loaded: '+'\\n'.join(dataFiles))\n", "\n", "ds = DataSet.DataSet(dataFiles)\n" ] }, { "cell_type": "code", "execution_count": 4, "id": "bfe8dbdb", "metadata": { "execution": { "iopub.execute_input": "2023-05-01T08:23:11.571812Z", "iopub.status.busy": "2023-05-01T08:23:11.571812Z", "iopub.status.idle": "2023-05-01T08:23:11.585813Z", "shell.execute_reply": "2023-05-01T08:23:11.585040Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[5.500007] [-46.996902] -130.0 -29.9999\n", "[5.500007] [-51.0008] -29.9999 -130.0\n", "[6.999954] [-46.999397] -138.0 -37.9999\n", "[6.999954] [-51.0008] -37.9999 -138.0\n", "[8.499966] [-39.9999] -140.0 -39.9999\n", "[8.499966] [-43.9989] -39.9999 -140.0\n", "[9.999946] [-36.0009] -145.0 -44.9999\n", "[10.000035] [-39.9999] -44.9999 -145.0\n", "[11.499852] [-36.0009] -148.0 -47.9999\n", "[11.499852] [-39.9999] -47.9999 -148.0\n", "[11.499852] [-36.0009] -147.0 -46.9999\n", "[11.499852] [-39.9999] -46.9999 -147.0\n", "[10.000035] [-36.0009] -144.0 -43.9999\n", "[10.000035] [-39.9999] -43.9999 -144.0\n", "[8.499966] [-39.9999] -139.0 -38.9999\n", "[8.499966] [-43.9989] -38.9999 -139.0\n", "[7.000005] [-46.999397] -137.0 -36.9999\n", "[7.000005] [-51.0008] -36.9999 -38.9999\n" ] } ], "source": [ "for df in ds:\n", " print(df.Ei,df.twotheta,df.A3[0],df.A3[-1])" ] }, { "cell_type": "markdown", "id": "58289c6f", "metadata": {}, "source": [ "## Conversion of data files\n", "As mentioned in the introductionary talk about CAMEA, the instrument has a variable resolution in the energy direction and can be tune after an experiment has been conducted. The energy resolution is chosen in the conversion step where you have a choice between 3 build in normalization tables. \n", "\n", "The difference between the three can be understood by looking at the definition of the active areas on the 1D detectors. Each 1D detector is split into 8 main areas corresponding to the eight analyzers located beneath. Because of the way the instrument has been build, the signal within each of these 8 areas is energy dependent. That is, in all of the active areas the end closest to the sample position measures neutrons with a final energy lower than at the opposite end. By splitting up such an active area into a variable number of section, different energy sensitivity is reached. \n", "\n", "For CAMEA the three normalization tables are currently 1, 3, and 8, signifying the number of segments each active area is split into. The choice of which to choose depends on the scattering intensity of the sample and the duration of the experiments as choosing e.g. binning 8 for a weak signal will split the few neutrons detected into many points. \n", "\n", "As a standard 8 prismatic pixels per active area is choosen, which, combined with the 104 detector tubes and 8 active areas per detector, resulting in a total of 6656 distinct pixel per scan step. \n", "\n", "The following conversion snippet might take a minute or two depending on computing power. " ] }, { "cell_type": "code", "execution_count": 5, "id": "1bd93406", "metadata": { "execution": { "iopub.execute_input": "2023-05-01T08:23:11.587843Z", "iopub.status.busy": "2023-05-01T08:23:11.587843Z", "iopub.status.idle": "2023-05-01T08:23:13.736704Z", "shell.execute_reply": "2023-05-01T08:23:13.735933Z" } }, "outputs": [], "source": [ "# Try to run this and the following visualization for different binnings\n", "\n", "ds.convertDataFile(binning=8)\n" ] }, { "cell_type": "markdown", "id": "522846d0", "metadata": {}, "source": [ "## Visualization of the data\n", "With the data both loaded and converted from detector pixels and neutron count into intensity in reciprocal space, it is now time to plot the data. As a first step it is most often a good idea to create an overview of the data. This can be done by using the interactive 3D viewing tool, Viewer3D, generated by calling the View3D method on the data set. What is performed is a binning in 3D into voxels (3D pixels) with constant width (dqx), depth (dqy), and height (dE). From this definition, it can be seen that the arguments the function needs are exactly the bin size in the three directions. \n", "\n", "Because each sample has their own unit cell size and thus also reciprocal lattice vectors, the size of the bins is to be specified in reciprocal Angstrom in the two momentum direction and milli electron V in energy. For the current data, suitable bin sizes are 0.04/Å, 0.04/Å, 0.08 meV as inserted below.\n", "\n", "For the graph to be interactive, it is not possible to plot the figure inline, but rather the qt backend is to be used. (It is just fine if this makes no sense to you and you can simply enjoy that the first line is given below)\n", "\n", "The interactive window should pop up, and some different visualization directions can be chosen. As default intensity is plotted as function of momentum transfer along the two main direction in the scattering plane and for constant energy. Specifically, the lowest energy transfer is chosen.\n", "\n", "\n", "| Key press| Effect |\n", "| ----------- | ----------- |\n", "| 0 | Intensity as function of Momentum and Energy transfer perpendicular to plane vector 1 |\n", "| 1 | Intensity as function of Momentum and Energy transfer perpendicular to plane vector 2 |\n", "| 2 | Intensity as function of Momentum for constant energy transfer |\n", "| + or UpArrow | Increment step along constant axis |\n", "| - or DownArrow | Decrement step along constant axis |\n", "| s | Save current figure |\n", "| End | Skip to the end of allowed stop in this projection |\n", "| Home | Skip to the start of allowed stop in this projection |\n", "\n", "\n", "By clicking on a point in the view, the corresponding reciprocal lattice point is written in the output!" ] }, { "cell_type": "markdown", "id": "9d8ff96e", "metadata": {}, "source": [ "## Extract intensity as function of HKLE for a given cut" ] }, { "cell_type": "code", "execution_count": 6, "id": "11fc51b2", "metadata": { "execution": { "iopub.execute_input": "2023-05-01T08:23:13.739703Z", "iopub.status.busy": "2023-05-01T08:23:13.739703Z", "iopub.status.idle": "2023-05-01T08:23:14.559485Z", "shell.execute_reply": "2023-05-01T08:23:14.558483Z" } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\lass_j\\AppData\\Local\\Temp\\ipykernel_7896\\3582549767.py:18: RuntimeWarning: invalid value encountered in true_divide\n", " intensity = np.divide(data[0]*data[-1],data[1]*data[2])\n" ] } ], "source": [ "dqx = 0.04\n", "dqy = 0.04\n", "dE = 0.08\n", "\n", "data,bins = ds.binData3D(dqx,dqy,dE)\n", "\n", "from MJOLNIR._tools import invert\n", "\n", "sample = ds[0].sample\n", "\n", "# sample.UB converts directly from HKL to QxQyQz in the space of the instrument, BUT(!) the coordinate\n", "# system of QxQyQz is not aligned so that we have nice HKL vectors along the X and Y axes. This is done \n", "# by RotMat. In addition, Qz is always 0, which is why I project it out with the 2x3 matrix.\n", "\n", "# the invert function inverts a non-square matrix.\n", "\n", "convertMatrix = invert(np.einsum('ij,jk,kl->il',sample.RotMat,np.array([[1.0,0.0,0.0],[0.0,1.0,0.0]]),sample.UB))\n", "intensity = np.divide(data[0]*data[-1],data[1]*data[2])\n", "HKLE = np.concatenate([np.einsum('ij,j...->i...',convertMatrix,bins[:2]),[bins[2]]])\n", "\n", "# HKLE has the shape 4,X.shape\n", "# That is, first index is H, K, L, E, while the latter three are the position in 3D space\n", "# Intensity has the shape of X but one shorter in all directions. Bins are the corners\n", "# while intensity is the center value\n" ] }, { "cell_type": "markdown", "id": "21e3187f", "metadata": {}, "source": [ "## Play around with the visualization" ] }, { "cell_type": "code", "execution_count": 7, "id": "fdc4e336", "metadata": { "execution": { "iopub.execute_input": "2023-05-01T08:23:14.562687Z", "iopub.status.busy": "2023-05-01T08:23:14.562687Z", "iopub.status.idle": "2023-05-01T08:23:15.838359Z", "shell.execute_reply": "2023-05-01T08:23:15.838359Z" } }, "outputs": [], "source": [ "# Play around in this cell\n", "%matplotlib qt\n", "\n", "dqx = 0.04\n", "dqy = 0.04\n", "dE = 0.08\n", "\n", "grid = True # if this is True the reciprocal lattice is shown in the plot\n", "\n", "V = ds.View3D(dqx,dqy,dE,grid=grid)\n", "\n", "# The standard colour axis simply goes from the lowest to heighest intensity, but the following values makes the plot nicer\n", "V.set_clim(0,0.01)\n", "\n" ] }, { "cell_type": "markdown", "id": "1c908a2c", "metadata": {}, "source": [ "## Examine the data\n", "As we want to be able to fit these magnon dispersions make a list of positions in reciprocal space where it would make sense to perform a cut. Think about the following points (the answer to some of these questions are not set in stone)\n", "\n", " - How many branches are in the data?\n", " - Which scattering plane has been measured?\n", " - Which positions are most important for determining the spin gap, the band width, and the steepness of the branch?\n", " - Should the cuts be performed along constant energy or at a constant Q point?\n", " - How many cuts are necessary?\n", " - How long should the cuts be and what happens if they are too long/short?\n", " \n", "We are now in a position to start performing 1D cuts through the data. In the following snippet two cuts are performed: \n", " - a constant E cut through the dispersion between (-1,0,0) and (-2,0,0) at 3.7 meV \\pm 0.1 meV\n", " - a constant Q cut at (-1.15,0,0.15) between 0 meV and 6 meV" ] }, { "cell_type": "code", "execution_count": 8, "id": "5ca5f07b", "metadata": { "execution": { "iopub.execute_input": "2023-05-01T08:23:16.031357Z", "iopub.status.busy": "2023-05-01T08:23:16.030330Z", "iopub.status.idle": "2023-05-01T08:23:16.579381Z", "shell.execute_reply": "2023-05-01T08:23:16.578494Z" } }, "outputs": [ { "data": { "text/plain": [ "Text(0, 0.5, 'Intensity [arb]')" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Play around in this cell\n", "\n", "# Define the Q points for constant energy cut\n", "Q1 = np.array([-1.0,0.0,0]) # RLU\n", "Q2 = np.array([-.5,0.0,0]) # RLU\n", "\n", "# Define energy range to integrate over\n", "Estart = 3.9 # meV\n", "Estop = 4.1 # meV\n", "\n", "# Define perpendicular width of cut, i.e. how wide the cut is to be in the Q plane\n", "width = 0.05 # 1/Å\n", "\n", "# Define the size of the bins along the cut direction\n", "minPixel = 0.01 # 1/Å\n", "\n", "# The flag 'extend' sets whether or not the cut is to be extended in both directions to include all data\n", "# The flag 'constantBins' decides if the bins used in the cut all have the same size. If not, an adaptive binning method is used\n", "ax1D,data1D,_ = ds.plotCut1D(q1=Q1,q2=Q2,width=width,minPixel=minPixel,Emin=Estart,Emax=Estop,extend=False,constantBins=True)\n", "\n", "# ax1D contains the matplotlib axis element into which the plot has been generated\n", "# data1D is a pandas dataframe containing the data of the cut\n", "# The last return value is bins, which contains a list of bin positions both in energy and the two q directions.\n", "# As it is not needed in this tutorial it has been named '_' which signifies an unused variable\n", "\n", "# If the plot is to be recreated (later used to overplot with our fit), the following code can be used\n", "Intensity = data1D['Int']\n", "# The error is calculated using the Gaussian approximation and normalized to monitor and instrument sensitivity\n", "Error = data1D['Int_err']\n", "H = data1D['H']\n", "\n", "\n", "fig1DCut,ax1DCut = plt.subplots()\n", "ax1DCut.errorbar(H,Intensity,yerr=Error,fmt='.')\n", "ax1DCut.set_xlabel('H [RLU]')\n", "ax1DCut.set_ylabel('Intensity [arb]')\n" ] }, { "cell_type": "code", "execution_count": 9, "id": "ad94a0fc", "metadata": { "execution": { "iopub.execute_input": "2023-05-01T08:23:16.583395Z", "iopub.status.busy": "2023-05-01T08:23:16.582394Z", "iopub.status.idle": "2023-05-01T08:23:16.610372Z", "shell.execute_reply": "2023-05-01T08:23:16.609704Z" } }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " Qx Qy H K L Energy \\\n", "0 0.965433 0.841618 -0.993319 1.918646e-35 -2.153623e-08 4.0 \n", "1 0.957895 0.835047 -0.985564 1.903666e-35 -2.136808e-08 4.0 \n", "2 0.950357 0.828475 -0.977808 1.888685e-35 -2.119993e-08 4.0 \n", "3 0.942819 0.821904 -0.970053 1.873705e-35 -2.103178e-08 4.0 \n", "4 0.935281 0.815333 -0.962297 1.858725e-35 -2.086363e-08 4.0 \n", ".. ... ... ... ... ... ... \n", "59 0.520697 0.453919 -0.535738 1.034804e-35 -1.161537e-08 4.0 \n", "60 0.513159 0.447348 -0.527982 1.019824e-35 -1.144722e-08 4.0 \n", "61 0.505622 0.440777 -0.520227 1.004844e-35 -1.127907e-08 4.0 \n", "62 0.498084 0.434205 -0.512471 9.898633e-36 -1.111092e-08 4.0 \n", "63 0.490546 0.427634 -0.504715 9.748829e-36 -1.094277e-08 4.0 \n", "\n", " intensity Monitor Normalization BinCount Int Int_err \\\n", "0 0.0 3000000.0 0.035531 15.0 0.000000 0.000000 \n", "1 3.0 2800000.0 0.029103 14.0 0.000515 0.000298 \n", "2 2.0 5600000.0 0.050022 28.0 0.000200 0.000141 \n", "3 3.0 5600000.0 0.060355 28.0 0.000249 0.000143 \n", "4 5.0 5200000.0 0.043641 26.0 0.000573 0.000256 \n", ".. ... ... ... ... ... ... \n", "59 5.0 10800000.0 0.073636 54.0 0.000340 0.000152 \n", "60 3.0 9400000.0 0.089070 47.0 0.000168 0.000097 \n", "61 0.0 7600000.0 0.058296 38.0 0.000000 0.000000 \n", "62 4.0 8800000.0 0.092436 44.0 0.000216 0.000108 \n", "63 2.0 8400000.0 0.078219 42.0 0.000128 0.000090 \n", "\n", " BinDistance \n", "0 0.013361 \n", "1 0.028872 \n", "2 0.044384 \n", "3 0.059895 \n", "4 0.075406 \n", ".. ... \n", "59 0.928524 \n", "60 0.944036 \n", "61 0.959547 \n", "62 0.975058 \n", "63 0.990569 \n", "\n", "[64 rows x 13 columns]" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data1D" ] }, { "cell_type": "code", "execution_count": 10, "id": "cad3df67", "metadata": { "execution": { "iopub.execute_input": "2023-05-01T08:23:16.673409Z", "iopub.status.busy": "2023-05-01T08:23:16.673409Z", "iopub.status.idle": "2023-05-01T08:23:16.687409Z", "shell.execute_reply": "2023-05-01T08:23:16.686715Z" } }, "outputs": [ { "data": { "text/plain": [ "(57, 95, 102)" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "V.Data.shape" ] }, { "cell_type": "code", "execution_count": 11, "id": "3e8c3578", "metadata": { "execution": { "iopub.execute_input": "2023-05-01T08:23:16.735410Z", "iopub.status.busy": "2023-05-01T08:23:16.735410Z", "iopub.status.idle": "2023-05-01T08:23:17.416094Z", "shell.execute_reply": "2023-05-01T08:23:17.415401Z" } }, "outputs": [ { "data": { "text/plain": [ "Text(0, 0.5, 'Intensity [arb]')" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "%matplotlib inline\n", "# Play around in this cell\n", "\n", "# Definition of position and energy range for constant Q cut\n", "Q = np.array([-1.25,0,0]) # RLU\n", "\n", "Emin = 0 # meV\n", "Emax = 6 # meV\n", "\n", "# If a point lies within the width of Q it is used in the cut\n", "width = 0.05 # 1/Å\n", "\n", "# The bin size along the cut\n", "minPixel = 0.1 # meV\n", "\n", "ax1D1,data1DE,_ = ds.plotCut1DE(Emin,Emax,q=Q,width=width,minPixel=minPixel)\n", "\n", "# Just as above the return values are the matplotlib axis, the pandas data frame containing the data and binning\n", "\n", "# Recreating this plot is again performed as\n", "Intensity = data1DE['Int']\n", "# The error is calculated using the Gaussian approximation and normalized to monitor and instrument sensitivity\n", "Error = data1DE['Int_err']\n", "E = data1DE['Energy']\n", "\n", "\n", "fig1DECut,ax1DECut = plt.subplots()\n", "ax1DECut.errorbar(E,Intensity,yerr=Error,fmt='.')\n", "ax1DECut.set_xlabel('E [meV]')\n", "ax1DECut.set_ylabel('Intensity [arb]')\n" ] }, { "cell_type": "markdown", "id": "7a90c187", "metadata": {}, "source": [ "## The MnF2 dispersion theory ## \n", "When you have optained a list of energies as a function of Q positions, it is time to fit the actual dispersion. This is done by the same method as above, but with a different fitting function, namely the one for MnF2\n", "\n", "\n", "$$\\hbar \\omega(\\vec{Q}) = \\sqrt{\\left(\\hbar \\omega_2 + \\zeta(\\vec{Q})\\right)^2- \\left(\\hbar \\omega_2 \\gamma(\\vec{Q})\\right)^2}$$,\n", "where\n", "$$\\zeta(\\vec{Q}) = D+2\\hbar \\omega_1 \\sin^2\\left(\\frac{q_z c}{2} \\right)$$\n", "$$\\gamma(\\vec{Q}) = \\cos\\left(\\frac{Q_Ha}{2} \\right)\\cos\\left(\\frac{Q_Ka}{2} \\right)\\cos\\left(\\frac{Q_Lc}{2} \\right)$$\n", "\n", "and $\\hbar\\omega_i=2Sz_iJ_i$, $z_1=2$ and $z_2=8$.\n", "\n", "By assuming that the input vector $\\vec{Q}$ is a 3xN array with H, K, and L in the first dimension and points in the second, the dispersion is defined:\n" ] }, { "cell_type": "code", "execution_count": 12, "id": "2b95a976", "metadata": { "execution": { "iopub.execute_input": "2023-05-01T08:23:17.418087Z", "iopub.status.busy": "2023-05-01T08:23:17.418087Z", "iopub.status.idle": "2023-05-01T08:23:17.432089Z", "shell.execute_reply": "2023-05-01T08:23:17.431510Z" } }, "outputs": [], "source": [ "# run once\n", "\n", "S = 5/2\n", "z1 = 2\n", "z2 = 8\n", "\n", "\n", "def MnF2(Q,J1,J2,D):\n", " return np.sqrt(np.power(2*S*z2*J2+D+2*z1*S*J1*np.sin(Q[2,:]*np.pi)**2,2.0)-\n", " np.power(2*S*z2*J2*np.cos(Q[0]*np.pi)*np.cos(Q[1]*np.pi)*np.cos(Q[2]*np.pi),2.0))" ] }, { "cell_type": "markdown", "id": "8482129f", "metadata": {}, "source": [ "## Play around with the theory prediction\n", "\n", "With the formula for the dispersion define, try to plot this as function of Q for different values of J1, J2, and D, and along the different Q-vectors. An example is seen below for a good guess of formula parameters" ] }, { "cell_type": "code", "execution_count": 13, "id": "d4bcb2fa", "metadata": { "execution": { "iopub.execute_input": "2023-05-01T08:23:17.434088Z", "iopub.status.busy": "2023-05-01T08:23:17.434088Z", "iopub.status.idle": "2023-05-01T08:23:17.558332Z", "shell.execute_reply": "2023-05-01T08:23:17.558332Z" } }, "outputs": [ { "data": { "text/plain": [ "(0.5, 7.0)" ] }, "execution_count": 13, "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": [ "# Run multiple times\n", "\n", "theoryFig,theoryAx = plt.subplots()\n", "\n", "p0 = np.array([0.124,0.115,1.3])\n", "\n", "Q = np.array([-np.ones(201),np.zeros(201),np.linspace(-1,1,201)])\n", "E = MnF2(Q,*p0)\n", "\n", "theoryAx.plot(Q[2],E,label='Theory')\n", "theoryAx.set_ylim(0.5,7)\n" ] }, { "cell_type": "markdown", "id": "1c1cf5ac", "metadata": {}, "source": [ "## Performing multiple cuts\n", "At some point, performing more than just one cut is adventageous and the plots are no longer needed. For both the plotCut1D and the plotCut1DE, the corresponding functions without the plotting are caled cut1D and cut1DE, and they take the same inputs. By creating a for loop over the cut position(s), multiple cuts can be performed at once. An example for performing constant q cuts along energy with different starting positions in Q is given below" ] }, { "cell_type": "code", "execution_count": 14, "id": "349c1888", "metadata": { "execution": { "iopub.execute_input": "2023-05-01T08:23:17.561080Z", "iopub.status.busy": "2023-05-01T08:23:17.561080Z", "iopub.status.idle": "2023-05-01T08:23:23.648580Z", "shell.execute_reply": "2023-05-01T08:23:23.647812Z" } }, "outputs": [], "source": [ "# Play around in this cell\n", "\n", "dataFrames = [] # Holder for data\n", "\n", "QList = np.array([[-1.0,0.0,-0.5],\n", " [-1.0,0.0,-0.4],\n", " [-1.0,0.0,-0.3],\n", " [-1.0,0.0,-0.2],\n", " [-1.0,0.0,-0.1],\n", " [-1.0,0.0, 0.0],\n", " [-1.0,0.0, 0.1],\n", " [-1.0,0.0, 0.2],\n", " [-1.0,0.0, 0.3],\n", " [-1.0,0.0, 0.4],\n", " [-1.0,0.0, 0.5],\n", " [-1.0,0.0, 0.6],\n", " [-0.9,0.0, 0.0],\n", " [-0.8,0.0, 0.0],\n", " [-1.1,0.0, 0.0],\n", " [-1.2,0.0, 0.0],\n", " [-1.3,0.0, 0.0],\n", " ])\n", "\n", "Estart = 0.7\n", "Estop = 7.5\n", "\n", "width = 0.05 # 1/Å\n", "minPixel = 0.1 # 1/Å\n", "\n", "\n", "for QPoint in QList:\n", " dat,_ = ds.cut1DE(q=QPoint,E1=Estart,E2=Estop,width=width,minPixel=minPixel,constantBins=True)\n", " dataFrames.append(dat)\n", " \n", "\n" ] }, { "cell_type": "code", "execution_count": 15, "id": "62b52eab", "metadata": { "execution": { "iopub.execute_input": "2023-05-01T08:23:23.651612Z", "iopub.status.busy": "2023-05-01T08:23:23.650615Z", "iopub.status.idle": "2023-05-01T08:23:24.091616Z", "shell.execute_reply": "2023-05-01T08:23:24.090714Z" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 15, "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": [ "# Play around in this cell\n", "\n", "combiFig, combiAxis = plt.subplots()\n", "\n", "for d in dataFrames:\n", " Intensity = d['Int']\n", " # The error is calculated using the Gaussian approximation and normalized to monitor and instrument sensitivity\n", " Error = d['Int_err']\n", " L = d['L']\n", " E = d['Energy']\n", " combiAxis.errorbar(E,Intensity,yerr=Error,fmt='.-', label='[-1,0,{:.1f}]'.format(np.mean(L)))\n", " \n", " \n", "combiAxis.set_xlabel('E [meV]')\n", "combiAxis.set_ylabel('Intensity [arb]')\n", "combiAxis.legend(frameon=False)\n" ] }, { "cell_type": "markdown", "id": "39635c1f", "metadata": {}, "source": [ "## Fitting the peaks\n", "Next up is to find the position of the dispersion by fitting. This is done by first defining a suitable fitting function and then to optimize the fitting parameters. This can be done using many different optimization algorithms and packages, but here we will suggest to use the scipy.optimize.curve_fit function.\n", "\n", "To fit using this, a fitting function is needed together with the corresponding x and y values, and a starting guess on parameters. In inelastic neutron scattering it is common practive to utilize Gaussians for these types of fits:\n", "\n", "$$f(x) = Ae^{-\\frac{\\left(x-\\mu\\right)^2}{2\\sigma^2}}+B $$\n", "\n", "Here $A$ is the aplitude, $\\mu$ is the center point, $\\sigma$ is the width, and $B$ is the background. The snippet below shows how to fit such a function to the last cut from above, and it is your tasks to adapt this code to fit all of the cuts you performed above." ] }, { "cell_type": "code", "execution_count": 16, "id": "b40333e7", "metadata": { "execution": { "iopub.execute_input": "2023-05-01T08:23:24.093635Z", "iopub.status.busy": "2023-05-01T08:23:24.093635Z", "iopub.status.idle": "2023-05-01T08:23:26.823969Z", "shell.execute_reply": "2023-05-01T08:23:26.823656Z" } }, "outputs": [ { "data": { "image/png": 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\n", 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\n", 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\n", 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NzdFlNgAyMjJoamoa8NzI+ZmZmYOeP1x5omiNQqkROtTUCuKnNK940HNy05KiNQqKTqY4aNh3ZM8YRTjxxfKbf2V1I5eveoOQAZfTxm+vXERZSfaw1w1n5cqVtLa2cuKJJ/K73/1uyHPdbjctLS3R1y0tLWRlZQ16v7lz5w55fiz3SwRNFEqNRMBHnc+GOFopSCsY9LTc9GS214Q/8HYHxcm5vOsfnXZ0ZSkryWZ+UQbNnYFRSxIAzzzzTMznut1ukpKS2L17N6Wlpbzwwgt8//vfH/R+lZWVfOMb3+BrX/saBw4cIBQKkZeXFy1fsGABO3fupKGhgfT0dF577TW+9rWvffQ39RFp05NSI1GzicaQmyRnB07b4O3huelWjSKy6GZx9hwOi8HfWDVGgR4bMlxOpmWljFqSiNXzzz/PnXfeCcCqVau4+uqrWbJkCYsWLWLp0qXU1NRw5ZVX9ruurKyMM888k2XLlvHpT3+au+++G4DVq1dz77334nQ6+dWvfsUFF1zAsmXLuO6665g2bdqYvreBaI1CqZE48DatITfpaUO3h+elJeMPhmjxBXC7nMwoKsM0VHJg7yuUZl83RsGq0dRzA6NTTz01ul9EeXk5FRW99xzJy8sb9Af8D37wA37wgx/0OnbVVVdF/37JJZdwySWXjFLUo0MThVIjceBtOkLnU5A29IicvIzwXIpWP26Xk2lTT4UtcLj2fUqHvFKNxGjPyF69ejUFBQX9hsj2ZYwZsknIGMPXv/71UYtr5cqVMe20Fy+aKJQaAf/+jQSDnyQvfeiJT5HZ2fWtPmblpVHgLgGgrmFn3GNUR+fzn/88n//852M6t7CwcMhyp9M5qvMeRtJvEg/aR6FUrFrr2NPcBNgoyhx4uGREdGHA8MinglSr47tWZ2cPKR4bqanejuZ7rIlCqVgd2Mh2Wy4AM4YZspgXXmo8MpciyZ5Eji2ZOn8z+NviGuZE5XK5qK+v12QRR8YY6uvrcblcI7pOm56UitWhd9hjywGgNCdvyFOzU8M1ihZ/9FiBK4c6xxGo2wbTy+IW5kQ1ffp0Dhw4MOhSGWp0uFwupk+fPqJrNFEoFau6rexLng4tMDdv6PbnJIeNzBRntEYBUJA+jdrGaqjdpIliAE6nk1mz+q/GqxJPm56UipVnG4ft1po8s3Jyhz09Lz3JWhgwrCCzhDqHA2o3xy1EpeJBE4VSsejqhIY9eIwbsQVITx6+Mp6bnoy3tUeNIq2QBrsNf+2meEaq1KjTRKFULOp3gglxJJCCK8mPiAx7SV56krXLXVhhqjWk0uPdAtphqyYQTRRKDeCK/34zus0mAJ7tALT5k0lPCcV0j9y0ZOp71ijCQ2TrAm3QfGj0glUqzjRRKDWAfhvi1G2l02bH35VCdtrAO9v1lZueRGN7F11BK7FE51L06afol5SUGmc0USjVR2V1I1sPt3CgsYOr76+wkoVnGzW5szCBdPLTYxuDnhueS9EYbn6KND3V2e3WyCelJoi4JAoRsYnIKhF5U0TWiMicPuU3iMhGEakQkZXhY8Ui8s/w+WtFZF74+K0isjl8fE3kuFLxUrGnnkgPQlcgRMWeevBs40BWMSaYypRhZmVH5KX1np3tTnKTbE+mLjVbRz6pCSVeNYpPAi5jzDLgW8AvIwUiUgTcApwBXAD8TESSgR8B/2WMOQf4KfCz8CVlwLXGmHPCX9vjFLNSAJSXdg99tdtslBdnQMMedrmmAjaKs2Jb0jovo/fsbBGhILWAulR3r0TR3NHFvoa2Udv3WanRFq9EsRx4HsAYUwEs7lG2BFhvjPEZY5qAXcBJwFeBZ8PnOIDIqmtlwLdFZJ2IfDtO8SoVVVaSjT08qOns4/IpS6sDE2Iv1paXs4aZlR2Rm9a9gmxEQWoBtc4k8O6AgI/Xd3rYWtPC4SYfV99XoclCjUvxShRuoOdGr0ERcQxS1gJkGmO8xpiucNPSfwJ3hMsfA24CzgWWR5qqehKRL4absjbq9H/1UXUFQwTDbU9vVzfQVWtVYg8FUgGYkpka030ifRTePiOfdnZ0ggnird7M1554v9dzK/bUj8ZbUGpUxStRNAMZPZ9jjAkMUpYBHAEQkRXA34FrjDHbxRqs/ptwEvFj1TgW9X2YMeZeY8xiY8zi/Pz8UX8z6tgS6Xw+Z14+R9q7WLf1IIidOp/1cYks+Dcct8uB0y795lK02TrYb/L4zGMHo88CcNhtvZq9lBov4pUo1gMXA4hIOfBhj7INwJki4hKRTGABsCmcJH4LXGiM2Rg+1x0uSw8njXOByjjFrBQAnnAN4LJTp+N2OXi62g65s2loDwLdfQ/DiUzK+8vG/dFjBakFdDafwIW+O6lpD7H6hnKKs1MA+P4lC8d8S0+lYhGvRQGfBM4TkTcAAb4gIrcBu4wxT4nIXcDrWInqu8aYThH5DZAEPBT+gG03xtwoIt8BXgV8wMvGmP+NU8xKAd2jlKZmurjohCk8U9lGZ/HxNB82OOxB0pJim0cB4LTb6Aq3YwWCIda+l4vv0JX4gORQCBEhw+UEOpiSmRKHd6PURxeXRGGMCWH1K/S0rUf5fcB9fa45eZB7PQI8MtoxKjUYb4tVo8hNT+aSE/L488b9/NMspr2ziTRXKKblOyIEaPMH+OOb1fzxrWq21ZhoScBYQ3F/d9Uizv3lWpo7u0b/zSg1CnTCnVJ9RIaz5qUnscztJY8j/K1hKqFAGpmpsX9kKqsbafMH6QoavvePTXhbfdy0YgpIF0IIJ0HKZ+XgTnEC0NShiUKNT5oolOrD2+on2WEjPdmBvX4HK+0VvH44iVBXHrnpzpjv03MEkwDXlJfw1Y+dSGrx/czOeodHk35CWXYHGS6rYt+siUKNU5oolOrD2+IjLz3ZamLybOMS+wa6goLpyqba2xHzfcpLc7GFW6mSnTaWz83HaXeSn9PK8kWHKLPthPpdJDvsuJw2mjsDQ99QqQTRRKFUH942P3npSeEXOzk1t4vsdKtvwd+VFPOkuLKSbOYXZTA9O4VHry+PjmgqTC2kzoRrD/U7AXC7nFqjUOOWJgql+ojUKABo2I3kzWZKbjsArZ3SvVBgDDJcTqZlpfQa9lqQWkCdvxmcqeDdBYA7xamd2Wrc0kShVB/e1nCiMAbq90DuHLC3QnipwOhCgUepILWAuvY6yJ0N9eFE4XLQ3KFNT2p8itc8CqUmpFDI0NDmJzc9CVpqoKsNckrJad8Le3PAOHE6Yp9B/ecbl/U7VpBaQKOvEX/OqSQdfg+wahQNPWZpKzWeaI1CqR6aOroIhIxVowj/tk/uHIJJu8iZ/lK//oajEd2XInsaHNkHAZ/2UahxTROFUj1EFvDLy0iGht3WwdzZeDo8pLoC/fobjkZ0S9S0HDAhaNiDO8Who57UuKWJQqkeIus85aUlWTUKezKhjKnUd9Rz+aKFAzYljVR+qrVwZZ0rvAFS/a5ojcIYM8SVSiWGJgqleojsHZGXkWx1ZOeU0uhvImAC5KXEtg/FcPJTrEThdYQn73l34k5xEggZOrqCo/IMpUaTJgqleog2PUX6KHJn4+3wAt1NRh9VVnIWDpsDb1crpBdGaxSgy3io8UkThVI9eFt92G1CVrINGvdC7mxrKCvdNYGPSkTIS8nD0+GB3LlQv4vM8HpPOkRWjUeaKJTqob7VT05aEraWAxD0Q053jWK0mp7ASjreDi/kzQk3PYXXe9JJd2oc0kShVA/RyXb1kRFPc6zf/OnuhB4NuSm53TWKjgbcWGtI6RBZNR4NOuFORFYPc60xxlw9yvEolVCe1vA6T/VbrQO5s6mreRV3kptke2w728UiPyWf9+vet2Z9A+7OA4DWKNT4NNTM7AXAVwYpE+DXox6NUgnmbfFRmpdmzaFISof0Qrwd3lHryI7IT8mn0ddIV3YJTsDdVg24tY9CjUtDJYovG2PWR16ISK4xpr7H6y/HNTKlxpgxhvo2X7hGsQtySkEET4dnVPsnAPJSrfvVJ6dRJHYyWvcAp2jTkxqXBu2jiCQJEblYRPYA/xSRHSJyTs9ypSaLNn+Qzq5Qdx9FuFnI0+4ZtRFPEZH7efxNkDWDpCO7SXHatelJjUuxdGZ/H1hqjFkEnAXcGd+QlEqM6F7ZKXY4Ug25szHG4O3wjmpHNvRIFB0eq+ZSv9taxkObntQ4FEuiaDHGeACMMTVAW3xDUioxontlyxFrDaac2TT5mugKdY16jSLSlOXt8ELObGjYay3joTUKNQ4NNerpp5FzROQZYB2wBPCNRWBKjTVPS3j5jq7D1oHcOdR1WJPtIn0KoyU3JRdBumsUvibcGTrqSY1PQ9Uotoe/HgaeAA4D/wD+PNxNRcQmIqtE5E0RWSMic/qU3yAiG0WkQkRWho8Vi8g/w+evFZF54eOXiMjb4XvdcJTvU6lhRZfv6KiyDuTOxtseXr4jZXRHPTlsDrJd2Xjaw4kCcNv9uoSHGpcGrVEYYx4CEJEXjTHnj/C+nwRcxphlIlIO/BK4NHy/IuAWYDHgAtaJyEvAj4D/Msb8XUQuAH4mIldgDcM9DavJa72IPGWMqR1hPEoNK5Ioctt2gisLUnOoOzS6y3f0FJ2dnTsbADdt7O7QvcTU+BPL/8pGEfkEsAMIARhjdgxzzXLg+fC5FSKyuEfZEmC9McYH+ERkF3AS8FWgqUdcnVhzOXYZYxoBRGQdVof6Ez0fJiJfBL4IUFxcHMNbUqq/+lY/WalOnEd2R394R5fvGOWmp8g9vR1eyCoGsZEZaqK5M3XUn6PURxVLoigAbu3x2gDnDnONm+4f+gBBEXEYYwIDlLUAmcYYL0C4yek/sWol+QOd2/dhxph7gXsBFi9erAv6q6PSvXzHHiguB6yhsenOdFIcKaP+vPyUfHY27gRHMmROxx3w0tyRhzEGERn15yl1tIYd9WSMWRH5Ai4HXorhvs1ARs/nhJPEQGUZwBEAEVkB/B24xhizfahzlRpt3lYfuakOaNof7TfwdHhGfWhsRH5KPg0dDYTCI6zcvhpCxprPodR4EtOigCJymog8BHwITIvhkvXAxeFry8PXRWwAzhQRl4hkYjUvbQonid8CFxpjNobP3QrMFZEcEUnCanZ6M5aYlRqp+lY/eUkBwHQninbPqHdkR+Sl5BEwARo7GyGnFHdHeL0n7dBW48xQw2OTgM8CN2MNiXUDpcaYjhju+yRwnoi8gbUu1BdE5Das/oanROQu4HWsRPVdY0yniPwGSAIeCle7txtjbgxf90L43AeMMQeP8r0qNSRPq4+z8sO/zfeoUZxScEpcntdzLkVuTinugPX7VHNnF1MZ/aYupY7WUH0UVcCfgKuNMTtF5LkYkwTGmBBwU5/D23qU3wfc1+eakwe519PA07E8V6mj1dkVpKUzQK41biI6KzueNYpIk5anw8O83Nm4aQd08yI1/gyVKH4DXA3MFJH7sWoGSk1K9W3hyXaBWnBlQko2zf5m/CH/qC8IGBG5rzWXYiFusRY90KYnNd4MtSjgz8O/5d8FXAWcJiL/ISInjFl0So2R+shkO9++7lVj20d/w6KeInMzrCGyJd2bF+nsbDXOxDLqaa0x5hpgNnAAeCTuUSk1xqKT7dp39+qfgPhMtgNwOVxkODOs5zhduDOtkd9ao1DjzaCJQkQe7PnaGHPEGPO78Cqy/cqVmsi84XWe8lt3WIv0QVy2QO0rOukOyMidCkBzp/ZRqPFlqD6KT4nIcYOUCdawVqUmBW9k5Vgaew2NhfjVKCL3jjzHmTuTVHy63pMad4ZKFCeNWRRKJZi3xU+aA1LEH00U3g4vac40Up3xW1YjLyWP9z3vWy9ySnHTSnOrruSvxpehFgWsHstAlEokb6uP3KSAtZpZOFHUtdfFtTYB3QsDGmOQ3Nm4ZT/NzU3DX6jUGIppZrZSk5231Ueeow2SMiCteyJcPPsnwOr/8AV9tHa1Qk4pmbTR3NYe12cqNVLDJoo+K78qNSnVt/rJM0cg1xoaC1aNIl5zKCKicyk6PJA9E7e009zhj+szlRqpWGoUXwtvMPRlEcmKd0BKJYK31UdusC7a7BTZKztes7IjonMp2r3gTMHtNDT7QnF9plIjFcs8iiuBi7CWF39CRB4VkXPiHJdSYyYQDNHQ7ifffzCaKFq6WugMdsa96Smyz0Vky1V3ajLNXfa4PlOpkYq1j6IQKAbyAC/wryLyx7hFpdQYuviu1zEG2o2je8RTeAvUeHdmF6YWAlYzF4A7PZWWUBKhkG6rosaPYTcuEpG3gHasRfxuD+9Mh4i8EOfYlIq7yupGdta1AvBQ8AIu8udQxthMtgOs4beO1OhcCndGJiFstDV5yMiOb7OXUrGKpUbx5fDGRauNMT4RORvAGHNBnGNTKu4q9tRjwr+8B7FR0egGun/Dj3dnNkBBagG17dY28O5s63nNh/fE/blKxWqo/SjOBBYCt4rIr8KH7Vj7U+jCgGpSKC/NRbA64JwEKZ9v7bkeWVajIDX+v9UXphZ21yhyCoEamuv2MW1hedyfrVQshqpRNAJFQDIwJfyVB3xjDOJSakyUlWRTkJEEwP0Ff6VsZg5g1ShSHCmkOdPiHkN+an53H0Wetd5Tk/dQ3J+rVKyGmpm9CWuL0nuNMYfHMCalxtSli6bz4GvbWT69++Pg7fCOSW0CrFpLXUcdIRPCnWYtF9Lc6BmTZysVi6FWj/1L+K/viMih8NdhEdFfddSk4m3uIF+akLw50WNjMdkuoiC1gEAowBHfEdwpVrJqbmock2crFYuhahT/Gv5zytiFo9TY8xxpIo8myO1OFN4OLwtzF47J8yM1l7r2Ogpd1vDc5tY2MCY6S1ypRIplCY+PiciFInKxiOwWkavGIjClxoqnqZ18ORJNFMYYPB2euA+NjeiZKDJc4RpFwAZt3jF5vlLDiWV47E+AncAtwBnATXGNSKkx5m0PkCdN0cl2bV1tdAQ64j7ZLiKyTEhdex0Ou410JzSbVGjYPSbPV2o4sSSKdqAWCBhjarBGEg5JRGwiskpE3hSRNSIyp0/5DSKyMbyG1Mo+ZV8RkTt7vL5VRDaH77NGRObF9taUGl4wZGjw2clz+iHVGvE0VpPtIqLLeERGPrkcNJMG9Zoo1Pgw7MxsoBl4HrhXRG4G6mK45pOAyxizTETKgV8ClwKISBFW7WQx4ALWichLWEnrfmAJ8Nce9yoDrjXGVMb0jpQagcZ2PyGE/PTk6LGx2NmuJ6fNSY4rpztRpLpobkvTGoUaN2JJFJ8BZhtjtojICVhLeQxnOVZywRhT0Wep8iXA+vBSID4R2YW1m94u4CHgJWB+j/PLgG+HE8yzxpifxfB8pWLiaQlvgZrl7j42xjUKsCbdRRNFShLNjhyo3zhmz1dqKLE0PRUAK0XkduAy4FsxXOMGem7TFRQRxyBlLUCmMabRGPPiAPd6DKtf5Fxged+mKgAR+WK4KWujx6Pjz1XsvI1HAMjLy40eG+saBYTnUkQThYNmW6bWKNS4EUuieALrh3ttj6/hNAMZPZ9jjAkMUpYBHBnoJiIiwG+MMV5jjB94FljU9zxjzL3GmMXGmMX5+WP34VYTn7f2IAB5BdOixzwdHlx2F+nO9DGLIz81P1qTcbuc4T6KPUQXolIqgWJpemoxxnxvhPddD1wCPB7uo/iwR9kG4Cci4sJaHmQBsGmQ+7ixZocvANqwahUPjDAWpQbl8dQBDvKnlUaP1bbXUphWiIzhHIaC1AIaOhvwB/24U5w0BZOANmithYyiMYtDqYHEkig2iciVwLuERzwZY3YMc82TwHki8gYgwBdE5DZglzHmKRG5C3gdq0bzXWNM50A3McY0ich3gFcBH/CyMeZ/Y3ljSsXC23iEJNxkFM2OHqtpq4nuEzFWIs/zdHhwuxy0dtkI2QRb/W5NFCrhYkkUp4S/IgzWb/aDMsaE6D/fYluP8vsYpFPcGPNgn9ePAI/EEKdSI+Zt7iDfZkeSuxf/q2mrYemUpWMaR6Q/xNPuwZ3ixgAtpJDZsBtmnjGmsSjV17CJwhizQkQygZnAbmNMa9yjUmqMeNqD5CV1RV8HQgE8HZ4xr1FEZmfXttfidlkd6822LDK9w1XelYq/WHa4+zTwvfC5j4uIMcb8OO6RKRVvxuDxOZie1d0X4e3wEjIhitLGtrknkig87R7yIgsDZs4H784xjUOpgcQy6uk2oBxrr+wfA5+Ka0RKjZX2BryhdPIyXNFDNW01AGOeKLKSs0iyJVHXXofb5QSgOWM2eLaPaRxKDSSWRBEMT44zxhiDNfpIqQkv6NlJA+5ek+1q2hOTKESE/NR8q+kpJZwo0mbCkWroGnCsh1JjJpZEsU5EVgPTRWQV8HacY1JqTDQe3kMIG/l53RsU1bZZ04TGOlGA1fzk6fCQGU4Uf91jBxPSiXcq4WLpzP6OiFyINTx2mzHm6fiHpVT8eWoPApnk5Xd3XNe01ZDiSCHDmTH4hXFSkFrAtoZt0aanOglvnOTdAYXHj3k8SkUMtcOdXUSSRORvwMvAb4F/isgrYxadUnHk9Vi1hzx3avRYTVsNRWlFYzrZLiI/xdo7Oy3ZDsDeznQqQ3PBoyOfVGIN1fR0HbAduCj853asGdb7xiAupeLO22BtN5qX0b1ybE1bDUWpiZngVphaSEeggzf3WlvUN/lCXO3/LpVVuoGRSqxBE4Ux5j5jzCzgZmNMqTFmljFmjjHm82MXnlJxEvDjabVWjs3vmSjaaxLSPwHdQ2TX7DwYPdaFg4qahISjVFQsM7NfEpFvYO0dAYAx5ofxC0mpMdCwB28ogySbISPZ+hh0Bbuo76hPWKKILGteXNCJYC2BYBMo970BoRDYYhl7otToi9fqsUqNb56teE0m+WmOaH9EXUcdBpOwRBFp8nK765lflIHDJsxKD1FmNkHT/oTEpBTEb/VYpcY3z3Y8ZPbryAYS10eRVoggHG47zHNf+RQPrNvLD5/ZwodJszjRuxOySxISl1Kx1Cg2iciVIjJPRI4TkePiHpVS8ebZhseWT747JXooUbOyI5LsSeSn5nOw1eqj+HTZdFKcNh4OnmcNkVUqQeKyeqxS455nO15Wckp67xFPYP1mnyjT0qdxqPUQAJkpTj61aBp/3XA63zm8nuyERaWOdcPWKIwxK/p8aZJQE1uwi6BnFw0BF3l9EkWGM4M0Z9oQF8fX1PSp0UQBcO3pM/GRxON7k4e4Sqn4GrRGISJvEt6oqC9jzOlxi0ipeGvYS0PIRQjpNzQ2kbUJgKlpU3m+/XkCoQAOm4P5RW6WZDTwx/rjuD5ksNvGfiKgUkM1PV05ZlEoNZY82/CaTIBeNYrattqE9U9ETEufRtAEqWuvY2r6VACuPa6LL1cWctmvn+cfX70oofGpY9NQE+6qB/saywCVGnW9EkVS9HBte+ITRSQ5RDq0AS44cSrZNLOnwUdldWOiQlPHMJ3Bo449nm14U0uB7uU7fEEfDZ0NCRsaGzEtfRpAr36KD7qm00IqLUEnV91XoclCjTlNFOrY49mOJ2U20L18RyKXF++pKK0IQXoligpPEiGsvgl/IETFnvpEhaeOUZoo1LElGADvTrxJ00hy2KLLdyR6DkVE37kUAOWz83ESAgwiUF6am7gA1TFJE4U6tjRWQdCHV/LIT0+OLt8R2dmuMDWxo54gPJeirbtGUVaSzeoT36Hcbu2fPTs/ccN31bEpLolCRGwiskpE3hSRNSIyp0/5DSKyUUQqRGRln7KviMidPV5fIiJvh+91QzziVccQzzbrj1B6r47s8TDZLqLvXAqAsrkz+Lb9YUIGXtlWl6DI1LEqXjWKTwIuY8wy4FvALyMFIlIE3AKcAVwA/ExEkkUkRUQeBW7uca4T+DVwPnA28EURSfwnWU1ckUThd/aeQ9FWQ1ZyFimOlMGuHDNT06ZS01ZDIBToPlh4AifKXopS4cXNui6nGlvxShTLgecBjDEVwOIeZUuA9cYYnzGmCdgFnIS1jPlDwE96nLsA2GWMaTTG+IF1wFl9HyYiXwzXUDZ6PJ64vCE1SXi2QeYMvG2BXnMoDrQcYHr69AQG1q3nXIqowuOxieFjeQ2s3eGhsyuYuADVMSdeicINNPV4HRQRxyBlLUBmOBm8OMx9WoDMvg8zxtxrjFlsjFmcn5//0aNXk1fNJoL5C2lo8/VKFPta9jHDPSOBgXUbaC4FLjdklXB+0od0dAVZt1N3vVNjJ16JohnouTu9zRgTGKQsAzgS432GOlepofnbwbudhtwyQqZ7aKw/6Odw22FK3ONjGe+B5lIAUHQi5e1ryEh28NIWbX5SYydeiWI9cDGAiJRj7bUdsQE4U0RcIpKJ1by0aZD7bAXmikiOiCRhNTu9GaeY1WRXuxlMCK/7eKB7+Y4DrQcImRDFGcWJjC5qoLkUABSeQFLDDlYcl8M/t9YSDA24FJtSoy5eieJJoFNE3sDqjL5VRG4TkU8YY2qAu4DXgVeA7xpjOge6iTGmC7gNeAErQTxgjDk40LlKDevwewB406zJdpFRT/ua9wFQ7B4fiSLJnkR+Su+5FAAUnQAYzp/qo77Nzzv7dIa2Ghux7EcxYsaYEHBTn8PbepTfB9w3yLUP9nn9NPD0KIeojkWH34fUXLwhqzUzsnxHJFGUZIyPpicID5Ft61+jADjbtQunvYAXN9dw2sycBESnjjU64U4dOw6/D1NOxtPqA7r7KPa17CMjKYPM5H7jJBJmoLkUZJVAUgYZDR9y+uw8XtxSizHa/KTiTxOFOjYEfFC3FaacjLfV32v5jn3N+yjJKInO0h4PpqVPo7attvdcCpsNCo+Hmk2cf3wh1fXtlP/sZV0kUMWdJgp1bKjbCqEumHIy22uacTlsvLPvCGDVKMZL/0TE1PSpBEwAT3ufeUFFJ0DtZgrD/Su1zT6uvl9XlFXxpYlCHRsOvw9AZWgua3d4ae4McPX9Fby1t47DbYfHZaIA+ndoF54A/ha2Vx+IHurSFWVVnGmiUMeGw+9Dcibra7vXd+oKhHhpW9W4GhobEZlLMWCiAMrTuudROB02XVFWxZUmCnVsOPw+TDkJXyAUPeR02CjKawEYN5PtIqamT8Vhc7C3aW/vgsKFIDbKgu9z2aJp2AQevm4JZSXZiQlUHRM0UajJLxiA2k0Ei07muc01zMpL5esXHMej15fjTLWacMZbjcJpczLTPZPdR3b3LkhKg4KFcOBtyktzCRkocid+IUM1uWmiUJOfdzsEOnkpeCp7PG189fx53LxiLmUl2exv2Y87yU2WKyvRUfZTmlnK7qbd/QtmLIEDGynJcQFQVd82xpGpY40mCjX5HX4fY+CeHZmU5KZy0QlTokXVzdXjrtkpYk7WHA60HKAj0NG7YMZS8LcwE2ueRXVDewKiU8cSTRRq8jv8Pm/Yyvig1seNZ83GbuueL7G/ZT8zMsbHqrF9lWaVYjBUNVX1Lph+GgAFDZW4nDaqvVqjUPGliUJNfofe5R4upyAjmU+XTYseHm+rxvY1J8vaGHLXkV29C3JKITUPOfA2JTlpVNVrjULFlyYKNbn523l/XyPrO4r59+WzSHbYo0UHWsKrxo6zORQRxRnFOMTBnqY9vQtErOan/W9RkpvKvgatUaj40kShJrUv3/UYX/f/O6kOuGpp74SwryW8auw4G/EU4bQ7KXGX9K9RAMw4DRp2U+K2UV3fTkiXHFdxpIlCTVqV1Y08781jh5mOPyTsqG3tVV7dXA2MvzkUPZVmlbLnyJ7+BTOWAlAiNfgCIWpbBlypX6lRoYlCTVoVe+oJIoAQMqbfMhf7mveRmZw5rlaN7WtO1hz2t+ynM9AnEUxdBDYHMzut1furvNpPoeJHE4WatMpLMrBhAEPSAMtc7Dqyi1nuWYkJLkbRkU/NVb0LnClQdBIlRzYAaD+FiitNFGrSKrPvYZHsIM8Fj15f3muZi2AoyNaGrSzMXZjACIc3J3OQkU8AM5Yype41nHbRkU8qrjRRqMmrej3NpLOoJKffWkjVzdV0BDrGfaIocZdYI58G7Kc4DUewjRkZNqp1draKI00UatIKVa2nmiJK8rP6lW2u3www7hOF0+6k2F08aI0CoCS5lWqtUag40kShJqdggLrq7fiMk5K8tH7FW+q3kOJIYVbm+O6jAJidNbv/XAqAzOmQVUxJsJrq+nbdFlXFjSYKNTkdfp+qrgwASnJS+xVvqd/CvOx5OGyOsY5sxGZnzWZ/y358QV//wrnnU9LyLq2+APVt/rEPTh0T4pIoRMQmIqtE5E0RWSMic/qU3yAiG0WkQkRWho/liciLIvK6iPxZRFLDx38rIpXh+6wRkfE7llGNH9Xr2RcqBGBmbu8axUTpyI6YnTmbkAn1X/MJYO4FzAztB9DmJxU38apRfBJwGWOWAd8CfhkpEJEi4BbgDOAC4GcikgzcDqw2xpwJvAvcGL6kDLjAGHNO+KspTjGryaR6PVWuBThswtQsV++iCdKRHTE7azYwyMinmcspdh4B0A5tFTfxShTLgecBjDEVwOIeZUuA9cYYX/iH/i7gpJ7XAM8BHxMRGzAXuFdE1ovIdXGKV00m/nbYs5Zq13ymZ6fgsPf+bz5ROrIjZrpnkmxPjsbdS1Iq02fNx0ZIh8iquIlXonADPX/zD4qIY5CyFiCzz/HIsTTgd8DngAuBL4nISX0fJiJfDDdlbfR4PKP6RtQEtPtlCHRYI55yB+7IdtldE6IjG6yRTyfln0RlbeWA5cnzPsZU8VJ9qHbAcqU+qnglimYgo+dzjDGBQcoygCN9jkeOtQO/Nca0G2NagFeAk/s+zBhzrzFmsTFmcX5+/mi+DzURbX0a48qmusVGSe7AHdnzc+ZPiI7siLLCMrY1bKPV39q/cO55zJRaqmv0lyQVH/FKFOuBiwFEpBz4sEfZBuBMEXGFO6YXAJt6XgNcBLwOHAesFxG7iDixmqfeiVPMajII+GH78zTO/iQtvkC/GsVE68iOKCssI2RCvOd5r39h9kyKU3xUN+vwWBUf8UoUTwKdIvIG8GvgVhG5TUQ+YYypAe7CSgSvAN81xnQCPwauFJH1wDLgv4wxW4FHgApgLfCwMWaAhlqlwva+Br4mqqZcCPQfGlvVXDWhOrIjTso7CYc4Bm1+mlmUR2PQRdORI2MbmDomxKXubYwJATf1ObytR/l9wH19rqnF6ofoe69fAL+IQ5hqMtr6FCRlsM81H9jMzLzeiWJL/RZg4nRkR6Q6U1mYt3DQRFEyez7s7mTfpvWcuPzjYxydmux0wp2aPEJB2PYsHHc+VUf8iMD07P6JYiJ1ZPdUVljGh94P+y85DpQcdwoAVdsGTiRKfRSaKNTksa8C2r2w4BL21bczxe3C5bT3OqWytpKFuQsnVEd2xOLCxQRCAT70ftivrLjAmodava8aOnWqkRpdmijU5LH1KXC4YM55VNW39evIrmmrYWvDVs6aflaCAvxoTik4BUHYWLuxX1lqkoPCNBvVwRz48IkERKcmM00UanII+GHzkzD7XyA5ner69n5DY9fuXwvAihkrEhHhR+ZOcjMvZ97g/RQFWVQ7SqHyoTGOTE12mijU5LD5b9BaC6ddR0tnF/Vt/n41ilcPvEpxRvGE7J+IKCss4/269+kKdvUrK8lJpUqmQc0HcOjdBESnJitNFGriMwbe/C/Inw+z/yW6OF7PGkVbVxsbDm9gxYwViEiiIv3IygrL6Ax2sqVhS7+yNTvqqOu08wanaK1CjSpNFGriq1oHNR9C+ZdAhH0N/RPF+oPr6Qp1cc6McxIU5Og4teBUACoOVfQ6XlndiLfFWmb833xfpfLdd8A3wCxupY6CJgo18b15N6TmwkmfAaAqvIpqz6anNfvXkJmcySkFpyQgwNGTm5LL4sLFPL3n6V4bFVXsqSfyqsvYeaxzqdUcp9Qo0EShJjbvLtjxPJx2PThTANhX305eehLpydYQ2EAowGsHX+Ps6WdPyGGxfX1q7qeobq7u1aldXpqLy2nDLiDA30PLWffyU1Ynv1IfkSYKNbG99XuwO61EEdZ3aOx7de/R5Gua8M1OEeeVnEe6M50ndz0ZPVZWks2j15dz2/nzeOALpzE7x8m/11/N/zz2Z+5+dReV1Y0JjFhNdJoo1MTl2QHvPAwnXQHpBdHD++rbe63x9Or+V3HanJw+9fRERDnqUhwpXDTrIl6sepEWf0v0eFlJNjevmMOKeQWs/tK/UOTs5I5N2fzihe1cfX+FJgt11DRRqIkpFKLy8Z9yd/BTVM67LXq4syvI4ebOaI2ivaudZ/Y8w+lTTyfN2X9vionqsrmX0Rns5Lm9zw1YnpOezMpFM6KvuwIhKvbUj1V4apLRRKEmpMoXH+Gq/Zfyi85PcPUft0d/Wz7Q2I4x3SOe/rTtTzR0NnD9idcPdbsJ5/jc45mbPZcndz456Dnnlh1PsoQAgwHKZ+WMWXxqctFEoSaepoNUvPk6PpyA0BkIsW6ntWlPlbd7aGyrv5X/2fw/LJ+2fMKPdupLRLhszmVsqt/EjsYdA55TVpLN6muP51z7B4QM7KrVNaDU0dFEoSaWUBCe+QrZphlrfI/l9Z1e/IFQdGjszNw0Ht36KE2+Jm4+5eYEBRtfK0tX4rQ5uf+D+wc9p2zBbO6/vJRlts388B8fsD/8/VFqJDRRqIkjFIKn/i/sfJHns64gw+XgKx+byw1nlbKxupFb/vQue7xtZLgc2BwdPLTlIc6ZcQ4n5J2Q6MjjIsuVxQ0n3sBzVc/xcvXLg55nO+VKfrEsgIT8fPWB5wmFdCc8NTITf1C5OjYYA8/eBu89SuXJP+K1t1x8+6I53Hj2bACK3C5+9MwWBChwJ/Mfrz1Oi79l0tYmIq4/6Xpe2f8KP6z4IacWnkq2K3vA86Z//Ft8f9/tfH3/Mn74yP+SXzyP8tJcykoGPl+pnrRGoca/gB+e/SpU/g8sv5XfNiwlJy2Ja5aVRE/59+Wz+NzSEgxQ29zJ6lfyOC3zCubnzE9c3GPAaXPy4zN+TLO/mZ++9dPBT7TZ+Nd//yaLk/fz4FbDL17YxtX36ZBZFRtNFGp8O1gJ954NG/8Ap/9fKufcwms7vdx4VimpSb0rxFOyXIABBIyDk9I/nZCQx9q8nHncdNJNPF/1/JCjoMSVwdIlkbkkQmcgyIOvbWdjVYNOylND0qanEaisauCV7XWcO6+Aspk61DCuGqug4vew4V5IL4LP/hnmXchvH9jQrzYRUZjbBBIAYyfZ4eDMuUVjH3eCXHfidVQcruD2N25nb/Nebll0y4DLlZx7wgz+UHEQf1cQg+HpzfU8s/kNQEhy2Fh9/VLKZuZQWd1IxZ76aPNU39fHuqP9foz1daNFei4sNhksXrzYbNzYfwew4Qz1DxEMGe55dRe/fMkahijAivn5XHrKNNKSHWyvadEP0EdUWd1Ixda9lDv3UHbwEdizBsQGp14L5/0QXJmsfmsf33nyQ64pL+FHn+zuoG7xt/CHD//AI1seIS14Ah+fcisfm19yzP17dAW7uHPDnTy+43HKp5TzszN/Rl5KXr/zIv/Xl2Q08OBLb/NsUwmREWTpDsMJ09xs3N9KMGRw2IVPLZrGk+8eJBgyJDlsPHp9+YDf24E+Q7H8gButpLR2ex0bqxs5Z17BoNe9XdXAmu11LJudx9JZOThswjv7jkSft2hGFm9XNbChqoHTZ+f1ex8Lp2Swo7aVX7ywnUDI4LQLv/zMyVxy0tRe9+n5Pk6bmU2h28VLW2q587ltBEMGp93Gb688hbyMZDbsbRjyvf618gDf/OsHhMzQ3//Xtnuo3NfIWcflH9X/fRGpNMYsHrBME4X1n+Bff/8GBnDYhG9cOI9z5xdQ0+zj0Ypq3j9whENHem9on+yw4QuEoq8dNuF3n11EgdsV04dltD5AiTwn5uuqvFTsqqN8RgpleSEq99RRUd1EeYaHU227eWmvjy/vKSeAkESAR7P/APMupCL5DMoXzuL4qW4e27CPO57ZgjHgctj44/VLSMuoY93BdTyy5REafY2sLF3JV079CoVphSP6959sntz5JD+u+DEhQqyYsYLL5l7GsinLsNvs/c6trG7k6vvexB8IYiPEMtnCB6aUJtIHvX9pjotrymeQk57KpsPNzMpL40hHF79+aQeBoMFuEy48oQhfV4hXttURMlbC+eGlJzA9O4UPDjSxZFYOpXlprNvp5et/+YCuYAibTTiuIJ2tNdayJDaBa8pLuOK0Ytr9Ad4K/0A9fqqbmqZOXt1Wx5odHrqCIXbXtVLb4gNABD63tIR/O30mTe1+Xtleh02shLB+l7fXexFgqJ+AhRnJZKQ42eNpZajBYlmpTpo7uggZK+45BensrGsl1h+vdhFuOGsWl506neaOLl7b4aGjK8ibe+rZdLC517nHT3VzyclTqWnqxOW0Ud/q543dXg6Gf0a5nIMnk6GMeaIQERtwD3Ay4AOuN8bs6lF+A3AjEAB+bIx5RkTygNVACnAI+IIxpn2gc4d69tEkirtf3cUvXthGz3H5vd4PIS5K3cDL7afShR0nQX6Wez+vdpzC0+3l9OzqEUIYwI7hDNdm2kLJvOOfi0EQDFPt9QSxURvMwQA2QnwqbR0FtiYOBvModtRS5DjCzq6pPNryLwSxYcNwatIO3vEfF34d4mzXB9glyKsdiwgi2DEsSd7KBt8Cggg2DCcm7aUllMLewNRwy71hgbOa7V3FhMLnLE3eSptx8YG/FINgI8RpSdupDD/LTojPZ7yAQXio5fzosU+krsdvHDzXUR59/gmOXXwYmEMIm/VebXW0hlJpIiP8vTHMsVWzJ1RMEEGAFDppp+eWpYbsVDtNHSFCxvrQ2wSCIavM+jcK4Z7yGibreQCWTlnKbWW3sTB34Yj+3SezqqYqHt/xOE/vfpojviO47C5Ks0qZkzWH6RnTyUzKJCs5i/SkdPbWwo5DhpOmJXF8UhXbN+/g2++dQsAIDoJckfQUj/k/QQAHgiGHI3jJHeLpBicB7BKk0yTT/3MV+ZnT/3iy+PGZJLp/hEufawa+rsjeQG0wG4NtgOusvyfhxx+epCmEWJS0iyA23vfPjh4rsjdQE8wJ3yfEbMdhOk0SB4N50XPKk7dQ6TuOAHYc4c/v27557AlMicadKj7aw+9dCHGGazOnJu1kVfMlBMKfofnOfXzYNQsGjNl6n1PtHpYlb+Xp9mV0YUcwOAjgJzn67lOlgxxbCweCeYC1gvBt58/j5hVzhvg36i8RieIy4BPGmM+LSDnwbWPMpeGyIuAlYDHgAtaF//4L4B1jzIMi8i2sBPOngc41xvgGe/bR1iiu+O/XCYQACZFc+A+CbXMJtJyI9Y8YJCn/JRypewi0l+JI3YM9dR/B9mLa910Pxg4SwpZ8iFBnMdF/cOkC8UMolch/IEmqQzCE/IX0/zAMJRQ+L3JNMPz3/r8lWgxibwVbF6Yru/s6CYBx9HjtR2xdmGBaj3sbRj7OIRKTvcd79SDiJ+Sb1ut59PhBYHMdwJ6yh64jZ4AJf2Ds7RBM7z4npQpH+mb83gvA2BCb4fxlW1m58HiWTllKQWrBIDEpf9DP2gNrea/uPXY27mTnkZ14O7zDXhdsL+73f73n687ai+hqOBPCP1DtGZsIti6w/g0lSGqxNQmw5+fDnrqHYNvc7mvSt2F3HcBffy4YAQmSXPg0vtpLwtcEcU39E4HmReHPovX/wZ62E7F1Emg5gcjn05H1NoGmU3tc9xhdTWUEWxcS+eXCkbWh1zn9Y+z//IHOiRwb/GfBwPfp+33se1/XlCcItJwUfl9WzEn5L5Kct6bXdYH22fg959H3Z1P7vusR4yTZaZ8wNYpfARuMMY+FXx80xkwL//0TwMXGmJvCr58Efgr8d/h4jYic3OdYr3ONMW/3ed4XgS8CFBcXl1VXV4845mc2b+bl7fs4bqowu8jG7poQv3o6SDAEdhvcdomd2UX9f3jurgmx45DhuKnWD/u+18RyrKxUeGuniaaMsxYKc4psPLy2+5zPnG7j8TdCQ97n8mU2nnhz6HOuOMPGn9fHdp9AEOx2uPpMOzaBR16zznHY4P9cYMdhh9/978jufeUZdh5bH35th69d4rS+37WGHQdDzJ9mxy527vxHO4EgOOzCf145g7KZOVTX2Xm3ulX7gz6irlAXzb5mmnxNtHW14Q/58Qf9BEIBQiZkfRECY60SZXr8Nh/5eTHQ5wOIfhYin5XhPh+Rz1rP6wZ6HevnKpbrhopxoOcPdM5AYrlPLNcM93NnsHN214RoPJLPBQtKR72PIl6jntxAz4VlgiLiMMYEBihrATL7HB/oWM/jvRhj7gXuBatGcTQBrzz+eFYef3z3gZmwZEoMnWoze78c6JrhjgFcXVVBVyCE02HjlrOt3wYuntf7ustOGP7enz5x+HM+dfzR3Wfl/P7Hzpg+8nt/coBzPtZnENPJBf3PmZYOp5eO4B9VDchpc5KbkktuylDNR8OYOXqfj77nDPQ61s/VaMTY7/Vgx47mPjFcc9TvK5bnHaV41igqjDGPh18fMMZMD//9E8CFxpgvhV8/CfwE6wf9hcaYunCNouexXucaYwZtWzraUU+Jlujhb0qpY9tQNYp4TbhbD1wcfng58GGPsg3AmSLiEpFMYAGwqec1wEXA60OcO+lENp3RJKGUGm/i1fT0JHCeiFgzeeALInIbsMsY85SI3IWVCGzAd40xnSLyY+Ch8CgnL3CVMaZtoHPjFLNSSqkB6DwKpZRSCWl6UkopNUloolBKKTUkTRRKKaWGpIlCKaXUkCZdZ7aIeICRT80euTys0VkTzUSMeyLGDBMz7okYM0zMuMdbzCXGmPyBCiZdohgrIrJxsBEC49lEjHsixgwTM+6JGDNMzLgnUsza9KSUUmpImiiUUkoNSRPF0bs30QEcpYkY90SMGSZm3BMxZpiYcU+YmLWPQiml1JC0RqGUUmpImiiUUkoNSRPFURKRpSKyJtFxxEJEnCLyiIi8LiIbwnuCjHsiYheRB0RkvYisE5ETEh1TrESkQET2i8j8RMcSKxF5R0TWhL/+J9HxxEJEvi0ib4pIpYj8e6LjiYWIfL7H97lCRDpFJCvRcQ0lXsuMT2oi8g3gGqAt0bHE6HNAvTHmGhHJAd4DnkpsSDG5BMAYc4aInIO1mdWliQwoFiLixNrGtyPRscRKRFxYfZbnJDqWWIX/T5wOnAGkAl9LZDyxMsY8CDwIICJ3Aw8YY44kMKRhaY3i6OwGLkt0ECPwBPD/wn8XIJDAWGJmjPk74b3QgRLgSMKCGZn/BFYBhxIdyAicDKSKyIsi8kp4w7Hx7gKsTdGeBJ4GnklsOCMjIouB48NbOY9rmiiOgjHmr0BXouOIlTGm1RjTIiIZwF+A7yU6plgZYwIi8hDwO+DRRMczHBH5POAxxryQ6FhGqB0rwV0A3AQ8KiLjvcUhD1gMXE53zJLYkEbkO8AdiQ4iFpoojhEiMgN4FXjEGLM60fGMhDHm34DjgPtEJC3R8QzjOqzdHdcApwAPi0hRQiOKzQ7gj8ayA6gHpiQ4puHUAy8YY/zGmO1AJzDgWkXjTbhPYp4x5tVExxILTRTHABEpBF4EvmmMeSDR8cRKRK4RkW+HX7YDofDXuGWMOcsYc3a4rf894FpjTE1io4rJdcAvAURkKuAGDic0ouGtAy4Uy1QgDSt5TARnAS8nOohYjfeqpRod3wGygf8nIpG+iouMMeO9s/VvwP+IyGuAE/jKBIh5ovoD8KCIrAMMcJ0xZlz3ZRljnhGRs4ANWL/03myMCSY4rFjNA/YkOohY6cxspZRSQ9KmJ6WUUkPSRKGUUmpImiiUUkoNSROFUkqpIWmiUEopNSRNFErFQETOEZG6Hou5rRGRJwY4zy8iL36E56wVkXP7HPutiFwfXkCu4mjvrdTR0uGxSsUgvADdTcaYK4c5r8YYc9QzsUXkc8DHjDGfD79OArYBJ2LNOn7MGDMR1mFSk4jWKJSKg3AN5AUReUpE3hWRG0XkzyKyTUT+T/ics8PLp68NL6fuxFqL61wRSQ3f6lLgRWPMRFmpWE1CmiiUit25fZqevj7M+dOBTwP/B2shxmuAi4Abw4vX3QdcZow5GzgIfN4Y0wn8HfhU+B5fwFqyXKmE0SU8lIrdK8M1PfWxyRjTJSJHgN3GGL+INAIurGakKcDj4QVPU4CXwtfdB/wivLBgtjHm3dF6A0odDU0USsXPUB2AXuAAcKkxpim862ArgDHmw/CS8LcAE2YRRzV5aaJQKnbnDrD97VEtrmiMCYnI/wc8KyI2oBm4tscpDwC/AIqPNlilRouOelJqFH3UUU/D3HsmOupJJYB2Zis1unI+yjyKwYjIHOCx0b6vUrHQGoVSSqkhaY1CKaXUkDRRKKWUGpImCqWUUkPSRKGUUmpImiiUUkoN6f8HsV1+vpAw2EEAAAAASUVORK5CYII=\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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OWz6T+xljRqYr1kVtRysAAemEvKIhywZ8HmiHXcnEMlVMu0SRiWXHF3NiZZD2rtiYJgmARx999MiFkgoKCsjJyWHXrl3MmzePxx9/nJtvvnnI+23bto0vfvGLfP7zn2f//v0kEgnKysp6zy9evJh33nmH5uZmAoEAzz77LJ///OeP/k0ZM43tad+DJpxRTEE6IW/oz4t8nw+A+nA74WiYfO/UWE3Wmp6GEPR5mVWUNyFjnR977DG+9a1vAbBu3To+9rGPsWLFCk4//XRWrlxJXV0dl19++WHXLVu2jHPOOYfVq1fzoQ99iDvuuAOA+++/n7vuuguv18v3v/99LrzwQlavXs0nP/lJZs2addh9jDGZq2mt6U0UTo1i6M+MoD8PAI3nciA0dWoVVqOYJNI3MHrPe97Tu1/EqlWr2LRpU7+yZWVlQ37Af/3rX+frX/96v2Mf/ehHe7++9NJLufTSS8coamNMTVsNknASQL4rCjmBIcsG8v3OFwkfdeE6Tig+YTxCPGqWKIaQjfXi77//fioqKg4bIjuQqg7bJKSqfOELXxizuNauXZvRTnvGmMPtD+2nwFNBBAj6cmCYjckCQWdwiiZyqQtPnZ85SxTj5KqrruKqq67KqOyMGTOGPe/1esd03sNI+k2MMf0dCh8i4HH2qg/k+YYtGwg6ow5dibwplSimTR9FNjZoMv3Z99hMR3XhOnwup18iP9kHMZRgYQkAfleRJYrJxufz0dTUZB9kWaSqNDU14fMN/xuVMceShCY4FDlErhSQIzFy/QXDlvcFS3GRwE+Q2nDtOEV59KZF09Ps2bPZv3//kMtkmLHh8/mYPXv2RIdhzLhp7mommojiJkBQuoYd8QQg+WUE2EdOwj+lahRZSRQi4gJ+BCzF2cL0U6q6M+381cC1QAy4VVUfFZEq4BdADtAMXKGqHSJyKXBTsuw9yd3xRsTr9VJdXX20b8sYY/o5FD4EOH0OAdqOmCjwlxAkgjeeS12kjoQmcMnkb9jJVoQfBHyquhr4EvC91AkRqQRuAM4CLgS+KSK5wD8BP1PVc4CXgU+JiBf4AXAB8D7gGhEZvqfXGGPGSV3EqRUk4jkENHzkROErIiBduOIeYokYzV3N4xDl0ctWojgbeAxAVTcBy9POrQA2qmq3qrYBO4ElwOeAXyRrI8cBrcBiYKeqtqhqD7ABeG+WYjbGmBFJNR/Fo0LgCLOyAXC5CLijaMzT7/rJLluJogBIX20uLiKeIc51AIXq9DS7ge3AucCfhyqbpZiNMWZEDoUP4XV56epOEDzCOk8p+Z4E8WSimCod2tlKFO1AMP05qhob4lwQp/aAqkZV9STgGuDnw5VNJyLXiMhWEdlqHdbGmPFSF65jhn8Goa5YZjUKIOiFnpi79/qpIFuJYiNwCYCIrAJeTzu3BThHRHwiUojTvLRdRH4kIucmy3QACeAtYKGIlIhIDk6z02EbWavqXaq6XFWXp/ZeMMaYbKuL1FGZX0moJ37EdZ5SAjlCJO7B5/ZNmUSRreGxDwPni8jzgACfEJEbcfobficitwPP4SSqr6pqV/LYOhG5CSdJfFpVo8nrHk+WvUdVp85KWsaYY1pduI5lM5axsUczTxS5HkLxHOblV06ZpqesJApVTQDXDTi8I+383cDdA67ZAawZ5F6PAI+MfZTGGDN68USchkgDZb5KehJC0JNhovDlEMbHjLzK3uG1k93kH8BrjDGTUFNXEzGNUex11l0L0Am+I4+1Cfqd1QtKPWVTpkZhicIYY0Yh1b8Q8Dj9ogEv4HIf8br8PGc9qBJXMY2djUTj0azFOFYsURhjzCikEkW+uxSAQO6RkwRAILlwYFADKEp9Z312AhxDliiMMWYUUonCJ0WAsytmJlKbF+XHnSao2tDkb36yRGGMMaNwKHIIn9vXuw1qfl5uRtcFA84OeL5ocnZ2ZPIPkbVEYYwxo1AXduZQhHviQF+T0pEEAs5S5LlRV+99JjtLFMYYMwp1kTpm5M+go8tZdCKYn5/RdfnBIgB6uqIU5hZaojDGmGNV3/IdzqilQLJJ6UiCyX2zQ509VPorLVEYY8yxKJaI0djZ6CzfEY7gIkFefmbrlebn5QAQ6opSOUVmZ1uiMMaYEWrsbCShCSdRRCIE6ET8R56VDeB1u/DRQ6g7RmW+1SiMMeaYlPpwr/RXEop0EiSS0fIdKQFXD6EeJ9G097QTiUayFeqYsERhjDEj1Jso8isJdXZnvCBgStAdIxR1rk+/32RlicIYY0Yo9cE+I9/pzM50L4qUfE+CUNRFRV4FAA2dk3sfHUsUxhgzQnWROvweP0FvkI7u5F4UvqKMrw94lVDcTbnfWSeqPjK5l/GwRGGMMSNUH6mnwl+BiBDqSSRrFEUZXx/wQkfcS4XfqVE0djZmKdKxYYnCGGNGqCHSwAz/DABCUSHoioI3s5nZAMFcNyHNJd+Vi9/jtxqFMcYcaxo6G3qbjUIxFwFPYkTXB3LdhNUH3e1U+CsmfR9FtrZCNcaYY5KqUh+ppzyvnHhCCSc8BHJGdo98Xw4hXNDVSlleGQ2RyZ0oslKjEBGXiKwTkRdEZL2ILBhw/moR2Soim0RkbfLYHBH5U7L8MyKyKHn8cyLyRvL4+tRxY4yZCO097UQTUcr95YR7nHWeAjkj+ygN5uXSg5fuUBvl/vJpW6P4IOBT1dUisgr4HvABABGpBG4AlgM+YIOIPAn8K/CfqvpbEbkQ+CZwGbAMuFJVt2UpVmOMyViqP6HcX04otSBghpsWpTgrzXYS6mijIq+ChkgDqoqIjHW4YyJbfRRnA48BqOomnKSQsgLYqKrdqtoG7ASWAP8X+H2yjAfoSn69DPiyiGwQkS9nKV5jjMlIqpmoPK+cUHeyRuEb2e/cAb+zeVEo1E65v5yueBcd0Y6xDXQMDfnuROT+I1yrqvqxIc4VAG1pr+Mi4lHV2CDnOoBCVW1MPncR8F2cWgnAA8AdQDvwsIisVdVHB8R6DXANwJw5c44QtjHGjF6qmagir4L6lmSiyHDTohRnpdkmQqEQ5eVOp3hDpIGCnIIxjXWsDJcGFwOfHeKcAD8Y5tp2IJj22pVMEoOdCwKtACJyLvAj4OOq+rY49bD/SNY8EJHfA6cD/RKFqt4F3AWwfPlyHSYuY4w5KqlEUeYvo6bWqQUE8nwjukcwuXlRKBKh3L8QcJq05hfNH8NIx85wieIzqrox9UJESlW1Ke31Z4a5diNwKfBgso/i9bRzW4BviIgPyMVJSNuTSeI24CJV3ZssW5A8txgIA+cB92T87owxZozVR+oJeoPkefIIJZfySDUlZSo/uXdFKNLJgikw6W7IRJFKEiJyCfCfQJuI5APXqOr69CQyiIeB80XkeZzaxydE5EZgp6r+TkRuB57D6SP5qqp2ich/ADnAz5IdOm+r6rUi8hXgaaAbeEpV/3CU79kYY0atIZI2hyKUrFEEMtvdLiWQ2pOis5vyvMm/jEcmPTA3AytVtSE5Yum3wKrhLlDVBHDdgMM70s7fDdw94JqlQ9zrPuC+DOI0xpisS59s1xEOA337YGcqmOt89HZ09eD3+gl4A5N6iGwmo546VLUBQFXrcJqAjDFmWmqINPSu+hoKdwIjTxSpUVKp4bVleWVTs0YhIv+WKiMijwIbcIa2do9HYMYYM9moKg2dDZT5ywAIdXbhpwu3v2pE98nzunGRINzjLP1R4a+Ymn0UwNvJv3cC8eTX/y+74RhjzOTV1t1GNBHtrVGEu3qclWN9me2XnSIi5LtidPQ4gzTL/eW8Uv/KWIc7ZobrzP4ZgIg8oaoXjF9IxhgzOdV39s3KBujoio54L4qUoCdOKObMxJ7ss7Mz6cxuEZG/Bv4CJABU9S9ZjcoYYyah9FnZAKGeOEE6wTfyiXIBT4JQj7P0R1leGT2JHtp72inMHVntZDxkkigqgM+lvVac+QzGGDOtpEYm9Q6P7VECrm5we0d8r0AOhLq8EI/1bmDUEGmYmolCVc9NfS0iZcDVWY3IGGMmqcNqFFEodceHu2RIgRwXbZoH3e19W6J21rOgeMERrhx/GS0KKCJniMjPcGZYz8puSMYYMznVR+oJ5gTxeZwlOzpGsWlRSjDXTRgfdLX1do5P1n0phhsemwN8BLgeZ0hsATBPVTvHKTZjjJlUGjsbez/UAUIxD8G80S0vl+/LIaR50NVGWYWzzc5knXQ3XI1iD87y3x9T1XOAg5YkjDHTWX1nfW8zkaoSSuSMeNOilIAvhxBOosjz5BH0BiftpLvh3uF/AO8HviUiF+Os2WSMMdNWQ6Sht+O5K5ogjotA7igThd9HCD+JTmfXhXJ/+aSddDfkO1TVbyfXX7od+Chwhoj8u4icMm7RGWPMJNE7KzvPmZXd0R0FIOAb+YgngGByxdlwqC9RTMUaBQCq+oyqfhyYD+zHFugzxkxDrd2txBJ9Q1lDnU6iCPpyRnW/QHKp8XAoBPRNupuMhkwUInJv+mtVbVXVH6rq6YOdN8aYY1nvXtl5A5YY949s06KUfL+zNHkoEgGcjZAaOp3Z2ZPNcPMo/kZEThjinOBsOGSMMdPCYZPtOpwmo3x/3qjuF0zuSdERccYIVeRVEE1Eaetuo2gUS4Jk03CJYsm4RWGMMZPcwMl2HakaRf7INi1K6V1qvLPLuW8yAR2KHJo6iSJtO1JjjJn2DqtRJDctCgaCo7pfIDeVKHoA+pbx6GxgEYuOKtaxNrpxXUcgIi4RWSciL4jIehFZMOD81SKyVUQ2icja5LE5IvKnZPlnRGRR8vilIvJi8l62fIgxZkLUR+opyCkg150LpG1aFBz5goDQlyg6up3Ni9LXe5psjpgoRGT5KO77QcCnqquBLwHfS7tfJXADcBZwIfBNEckF/hX4T1VdA/xb8rgX+AFwAfA+4BoRmTGKeIwx5qikz6GAviajQEHxqO4XTDY9hbudtaJSTVqHIoeOJsysyKRG8fnkb/6fEZGiDO97NvAYgKpuAtKTzQpgo6p2q2obzsZIS4D/C/w+WcYDdOF0mO9U1RZV7cHZZe+9GcZgjDFjpj5S3y9RdHR2k0OU3EDJqO6Xn2p6Sm5elOPOoTi3eGrWKFT1cuBinOXFHxKRX4rImiNcVgC0pb2Oi4hniHMdQKGqNqpqNNnk9F3glqHKHilmY4wZa/Wd9b2/9QOEu2PO7na5o2t68rpd5LrihKJ9i15M1kl3mfZRzADmAGVAI/C3IvKLYcq3A+k9PC5VjQ1xLgi0AojIucBvgY+r6tvDlU0nItck+zy2NjRMvmxsjJna4ok4TZ1N/ZueumMEpBvcmWzrM7igJ0FH3AUJp/mpwl/Ru4veZJJJH8Vm4E7gVWCVqv4fVf0MUD7MZRuBS5LXr8JZnjxlC3COiPhEpBCneWl7MkncBlykqluTZd8CFopISXI12/cCLwx8mKreparLVXV5eflwYRljzMg1dTUR1zgz/H1dpB09SsDdc1T3DXhxVpDtbgdghn/GpKxRZJIKP6OqL6ZeiMj7kst6XDjMNQ8D54vI8ziT8z4hIjfi9Df8TkRuB57DSVRfVdUuEfkPIAf4WXLP2LdV9drkdY8ny96jqgdG8T6NMWbUUh/e/WoUUQi4Y0NdkpFAjhDuzIPOVsgrptxfTlNnE7FEDI9r9DWVsTbcfhTnACcBnxOR7ycPu3H2pxh2YUBVTQDXDTi8I+383cDdA65ZOsS9HgEeGe55xhiTTYMnChczRrlpUUp+jocOzYOu1t77K0pjZyOV+ZVHde+xNFzTUwtQCeQCVck/ZcAXxyEuY4yZNAZNFHE3Ae/RrcsU9HmdPSk6W5z7JzdFmmzNT8PNzN6O03dwl6rWjmNMxhgzqdRH6nGLmxJf31DYUMJLIOfotukJ5OX2TxSTdNLdcKvH/ib55UsicjD5p1ZEDo5TbMYYMykcihyiLK8Mt8vde6wjkUsgxz3MVUcW8Oc5ndnJRJG+3tNkMlyN4m+Tf1eNXzjGGDP5DJyV3dMTo5uc3tnVoxXI9ydrFPsBKPGV4BHPpNs7O5Phse8XkYtE5BIR2SUiHx2PwIwxZrIYOCs7tStdYJSbFqU8ur2eHrx0h537ucRFmb9s0vVRZDLh7hvAO/StzzRwNJMxxhzTBiaKUHsrMPpNi1LczlQAwsklyyE56W4KJooIcAiIqWodzlIexhgzLUSiETqiHf3XeUpuWhQY5aZFKdG4M7x2U2Nu77GKvKmZKNpxFvh7UESuBybXOzDGmCxK9Rf0q1EkawDBUW5aBLBtbwu1bc4KtJ/ddxbb9vaNfJpso54y6Yn5O2C+qr4pIqcwYKKcMcYcywadQxEKAZCfHxj1fTfVNPU2z8TUxaaaJpYdX0yFv4KOaAeRaAS/1z/q+4+lTGoUFcBaEbkJuAxnfwljjJkWUkNV0xPFT19wZgnsi4y+M3vVvFKSXRS4SbBqXmm/50ymkU+ZJIqHcJb7PpT2xxhjpoVUjSK1IOC2vS28EHGW1/jCY7W9TUYjtez4YhbNcBbH/jv3MyybUwT0JYrJ1E+RSdNTh6p+LeuRGGPMJNQQacDv8ZPvdfojNtU0kcCpCsTi2ttkNBqFeV58EsVNHHrCkBvonXQ31RLFdhG5HHiZ5IgnVf1LVqMyxphJ4lDkUL9mp1XzSnGhJACvx93bZDRaQXeU2kSJMzs7N9Bbc5lMiSKTpqfTgGuBdcCPk38bY8y0UB+p77cPxbLjizmvuJ586eaXn1o16toEwK+vXc1JM/Ko05LeZTzyvfn4Pf5JlSiOWKNQ1XOTGwzNBXapaijrURljzCRRH6ln+Yzl/Y554t3M8nQcVZJIqQrm8EZaooDJN+nuiIlCRD4EfC1Z9kERUVW9NeuRGWPMBEtogoZIQ2+/QUpr1EWR9+g2LUqpLMqnkSg9oRZSY6gq/BVTbtTTjcAqnL2ybwX+JqsRGWPMJNHS1UJMY/36KABao16Kco5u06KUqpICAA61tPUem2w1ikwSRVxVuwFVVQXCWY7JGGMmhYFDY1Na47kU5Wby8XlklWVO89Wh1r6P1nJ/OfWRepyP3ImXyTvdICL3A7NFZB3w4pEuEBGXiKwTkRdEZL2ILBhw/moR2Soim0Rk7YBznxWRb6W9/pyIvJG8z3oRWZThezPGmKMy2Kxs4jFa1U9R3tjsaV1VWghAbXt377EZ/hlEE1Fau1vH5BlHK5PO7K+IyEU4w2N3JPewPpIPAj5VXS0iq4DvAR8AEJFKnJVolwM+nET0JE7S+gmwAvjvtHstA65U1W0ZvytjjBkDg83K7mpvootcCvNzh7psRCoLnRVo60Lx3mPleX1zKYp9R99hfrSG2+HOLSI5IvI/wFPAbcCfROTPGdz3bJyFBFHVTThJIWUFsFFVu1W1DdgJLMFJGj/DWdY83TLgyyKyQUS+nOH7MsaYo9bQ2YAglOb1zZVobXY6mYsDR7dybEow10O+dFMb6dtWtTLfmfldF64bk2ccreGanj4JvA1cnPz7beB1YF8G9y0A2tJex0XEM8S5DqBQVVtU9YlB7vUAzh4Y5wFnD2yqAhCRa5JNWVsbGibPSAFjzNRWH6mnNK8Ur8vbe6y1tRmAouDoFwRMJyJUeiPUdfY18FTlOxuLHgxPjp2nh0wUqnq3qlYD16vqPFWtVtUFqnpVBvdtB4Lpz1HV2BDngkDrYDcREQH+Q1UbVbUH+D1w+iCx3qWqy1V1eXl5+WH3McaY0TgUPnT4iKe2VgCKCgvH7DlVOV3U9vRtgpRKTrXh2jF7xtHIpDP7SRH5oojclPqTwTUbgUsAkn0Ur6ed2wKcIyK+5ES+xcD2Ie5TgLOESCCZNM4DrK/CGDMuDoYPMjN/Zr9jrR3OXhSFRWPXd1CZF6cu1ldDcYmLqvwqakOTI1Fk0m3/EPAn4N0R3Pdh4HwReR4Q4BMiciOwU1V/JyK3A8/hJKqvqmrXYDdR1TYR+QrwNNANPKWqfxhBHMYYMyqqSm2olrNnnd3veGuoEyiiuLhszJ5VlQ/1DUFi8QQet/P7e1WgatI0PWVl9VhVTXD43to70s7fzRAbIKnqvQNe3wfcN5LnG2PM0WruaqYr3sWswKx+x1vDzjDWooKx6aMAqAx4iOOmsbWdytIiAGbmz2TDgQ1j9oyjkUnT03YRuVxEFonICSJyQtajMsaYCZbqH0h1LKe0dkbJIUae1z1mz6pKDpGtPdQ3G7sqUEVDZwM98Z4xe85oZVKjOC35J0Vx+gqMMeaYdSB0AOCwGkVbV4JCdxciMthlo1JZ5Ox1UdfUtzBgKkHVheuYUzBnzJ41GhmtHjsegRhjzGSS6kiuCvSvUbR0C8We6Jg+q6q0CAhT29LReyzViX4wfHDyJgoReQEYdKERVT0zaxEZY8wkcDB8kIA3QEFOQb/jrTE3RbnxIa4anaLiEnJpoa61b6HBVIKaDCOfhqtRXD5uURhjzCRzMHSQmYGZhx1vjeVwXHDsmp0AxF9ClbxIbUffkNtKfyWCTIq5FEMmClXdO56BGGPMZHIwfJBZ+f37J4h105bwc2re2Kwc2yuvmEppoi7cN4nP6/ZS7i/nYGjih8iO8bs1xpipT1UHr1FEmmkhQLE/Z/ALR8vrp0raqI30/0iuyq+aFDUKSxTGGDNAe0874Wj4sETR1d6QXDnWN8SVoyRCZU6EQ91eEom+ruGZ+TOtRmGMMZNR6sN5YKJoa2kCoCiYP+bPrMyNElUXTeG+eRNVgSrqInUkdGx20xstSxTGGDNAaumMw9Z5Si0IWFAw8JKjVul3kkFdW9+KRjPzZxJLxGiITOyq2JYojDFmgKFqFC1t7QAUFxaN+TOr8p2RVLVtnX3HUkNkJ7ifwhKFMcYMcDB0kDxPHkW5Rf2Ot4acfa0Li0rG/JmVQaeDvK69f40CLFEYY8ykczDkLC8+cJmOttSCgEH/mD+zrMCPhxi1aU1PqRrFRHdoW6IwxpgBasO1hy3dAdAacTqai/K8h507Wi5/MTNooa4l3Hss35tPQU6B1SiMMWayGWzDIoCWrjhe4vhzxm7l2F55xVRJM7WtoX6HZwYmfoisJQpjjEkTjoZp624bdPmOtm6lyNM9pivH9sorplKa+416gskx6c4ShTHGpBlqxBNAa4+bIu/YLgjYK1BBlTRR2xFDNW3SXbJGkX5svGUlUYiIS0TWicgLIrJeRBYMOH+1iGwVkU0isnbAuc+KyLfSXl8qIi8m73V1NuI1xpiUYRNFzENRTpY+sINVVEoz3XFojfQtY16VX0UkFqG9pz07z81AtmoUHwR8qroa+BLwvdQJEakEbgDOAi4EvikiuSKSJyK/BK5PK+sFfgBcALwPuEZEZmQpZmOMGXKyHT0RWhJ+Cn1ZaHYCCFZRJc0A/Uc+5U/8yKdsJYqzgccAVHUTsDzt3Apgo6p2q2obsBNYAviAnwHfSCu7GNipqi2q2gNsAN6bpZiNMYaDoYPkuHIozSvtf6KzmTYNUJyFEU8A5PipzHVGVdW19026mxV0VrDdH9qfnedmIFuJogBoS3sdFxHPEOc6gMJkMnjiCPfpAAoxxpgsORg6SFWgCpcM+HiMNNFKPkX+3Kw9uyo56S69RlFdUA3AnrY9WXvukWQrUbQDwfTnqGpsiHNBoDXD+wxaVkSuSfZ5bG1omNg1UYwxU9u7He8etk82QFd7I534KAqM/WS7lPLiIC4S/UY++b1+ZvhnsLttd9aeeyTZShQbgUsARGQV8HrauS3AOSLiE5FCnOal7UPc5y1goYiUiEgOTrPTCwMLqepdqrpcVZeXl5eP5fswxkwjCU2wp30P8wrnHXaurbUFgMKCQNae7ymoopAQP92wm217W3qPzy2ce0wmioeBLhF5Hqcz+nMicqOI/LWq1gG3A88Bfwa+qqpdg91EVaPAjcDjOAniHlU9kKWYjTHTXF24js5YJ9WF1Yeda213WsGzsSBgyrb4fFoJEOmJ87GfbOpNFtUF1exu3z1hQ2SH2zN71FQ1AVw34PCOtPN3A3cPce29A14/AjwyxiEaY8xhatpqAAatUbS2OzOmi7KYKDZFqlCcUVXRWIJNNU0sO76Y6sJqwtEwDZ0NVPgrsvb8odiEO2OMSappTSaKokESRSgCQGF+9jqzVx1fgIc4oHg9LlbNc0ZepWo4E9WhbYnCGGOSatpqKMotosR3+DLirWGnhbzIn6XhscCyBTO53v1bQPj2h5aw7PhioC9RTFQ/hSUKY4xJ2t22e9BmJ4DWkDO3odifk70AglWc534FgFxv38KDM/wzyPPksbvdEoUxxkyomraaQTuywVli3CuJ7Kwcm5JfzlyXM8R/d2PfcuMiQnVhtdUojDFmIjV3NdPa3Tp4jSLaSWvURaE3kZ2VY1NcbgoLCijzdLO7IdzvlCUKY4yZYMN1ZNP6Lq0aoMg3Dh+ZwSrm5TRT09h/X4rqgmpqw7VEopHsxzCAJQpjjGH4obG07qOVAMX5WeyfSAlWUk1tv6Yn6OvQ3tu+N/sxDGCJwhhjcDqy8zx5VOZXHn6ydS+tmk9hID/7gRTMpDqxh8ZQD22dfcuNT+TIJ0sUxhiDU6OYWzD38MUAAdrepY0gRcHsLd/RK1jFvLiTDPak1SrmFMxBkAkZ+WSJwhhjcBLFoP0TAK37aCFIUTaHxqYUzGSeOFufpvdT5LpzmRWYZTUKY4yZCJFohLpw3ZBzKLqaD9CpOePUR1HFcVKPSxh05NNEzM62RGGMmfZSv6UPlSjaW5sAKMzWpkXpglXkSozZ+QlqBunQ3tO+h4Qmsh9HGksUxphpb9gRT9Gu3nWesrl8R68CZ+vTeXmdg4586o53UxuuzX4caSxRGGOmvZq2Gjzi4biC4w4/2bafluT+aUV549D0lBuEnCDVOS3sbgz3W1o8NfJpV+uu7MeRxhKFMWbaq2mt4biC4/C6BqkxtO6lVZ3RTuNSowAoqGKe1BHpiXOovbv38KLiRQjCG01vjE8cSZYojDHT3tstb7OgaMHgJ1v30abO/IlxSxTBSqoTzsS69JFPgZwA84vm82rDq+MTR5IlCmPMtFYfqedA6ACnlZ82eIG2d2mVAoDxGR4LEJzJvG5nr7eaASOflpYv5bWG18a1Q9sShTFmWnul/hUATq84ffACrftoyanC4xLys7lybLqCKiojf8HndR3Wob20fCkdPR3jOkw2K4lCRFwisk5EXhCR9SKyYMD5q0Vkq4hsEpG1yWNlIvKEiDwnIr8WEX/y+G0isi15n/UiUpiNmI0x09PL9S+T687lxJITBy/Quo9WbzlF/pzsrhybLjgTl0aZW5w7aKIAxrX5KVs1ig8CPlVdDXwJ+F7qhIhUAjcAZwEXAt8UkVzgJuB+VT0HeBm4NnnJMuBCVV2T/NOWpZiNMdPQK/WvcErZKXjdQ/Q/tO6jzVUyfv0TAEFnvan5BXpYophbOJdgTvCYSBRnA48BqOomYHnauRXARlXtTn7o7wSWpF8D/BF4v4i4gIXAXSKyUUQ+maV4jTHTUGeskx3NO4Zudop1Q0cdrQQpGo/JdillCwGozm1jX3OEnlhff4RLXCwpX3JMJIoCIP03/7iIeIY41wEUDjieOpYP/BC4ArgI+LSILBn4MBG5JtmUtbWhoWFM34gx5ti1vXE7MY0NnSja9gNKSyJvfGsUpQvB46M6vpd4Qnm3pf8eFEvLl7KrdRcdPR3jEk62EkU7JGeoJJ+jqrEhzgWB1gHHU8ciwG2qGlHVDuDPwNKBD1PVu1R1uaouLy8vH8v3YYw5hqU6slPt/odp3QdAQ7eburYutu1tGZ/A3B6YcQrVkdeBw9d8Wlq2FEXZ3rh9XMLJVqLYCFwCICKrgNfTzm0BzhERX7JjejGwPf0a4GLgOeAEYKOIuEXEi9M89VKWYjbGTDMv17/M/ML5FOYOMUamdR/b4gtp7FS2H2znYz/ZNH7JomoJ81o2Ahy2292p5aciyLg1P2UrUTwMdInI88APgM+JyI0i8teqWgfcjpMI/gx8VVW7gFuBy0VkI7Aa+E9VfQu4D9gEPAP8XFXHd0qiMeaYlNAErzS8wmkVpw1dqO1d/phYCTijnaKxBJtqmsYlPqqWUhStoyTPfViHdjAnOK4T7zxHLjJyqpoArhtweEfa+buBuwdccwinH2Lgvb4DfCcLYRpjprGa1ho6ejqG7p8AaN2HJ7cAIuAS8HpcrJpXOj4BVjnNYdWB6GGT7sBpLnty75OoataH7dqEO2PMtPRyw8sAw9coal+jznschXle/u8FJ/DLT61i2fHF4xNgxUng8lDtaT6sRgGwpHwJ7T3t7Gnfk/VQLFEYY6alV+pfocRXwpzgnMELhJvQ+rfY3H08Zy8o4/pzF45fkgDw5EL5YubFd1Pf0c0Pnny7X/9IasmRF+tezHooliiMMdNOQhNsqdvC6RWnD91ss3cj72oFtV1eVs4rGd8AU6qWQIez98RtT+3s15leXVjN3IK5PLHniayHYYnCGDPtvHToJerCdZx//PlDF9q7kc3JaVsrq8epX2KgqqU09fStL5XemS4iXFR9EVvqttAQye78MUsUxphp59GaR8nz5HHucecOXWjvRjb7zqLY72VhRWD8gktXtZRLXFsAZ/OigZ3pF829CEV5Ym92axWWKIwx00p3vJsn9jzB++e8H7/XP3ihzhao287mnmpWVJfgco3TYoADzTiFZe6drK1swy3CT/7hjH79JPOL5nNC8Qn8cfcfsxqGJQpjzLTy7P5n6Yh2sHb+2qEL7dvEQS3m3c6ciWt2AsgNQOkCPp7/InFV2jujhxW5uPpiXm14lQOhA1kLwxKFMWZaeWTXI5TllbGycuXQhfZsYDNO/8SK6gnqyE6pWsKyjj9T7Pfy5JuHDjt90Vxn+tljux877NxYsURhjJk2Wrtaee7Ac1xSfQlu1zCbECX7J4I+D4urCsYvwMFULcXTvpfzFhbx1FuHiMb772w3OzibJWVLeGyPJQpjjDlqT+x9glgixtp5wzQ7dbVD7atsjs5nxdwS3BPVP5FSdRoAF5TU094V48XdzYcVubj6YnY076CmrSYrIViiMMZMC6rKb3f+lgVFC4bezQ7g3S3UJwrYHfFN3PyJdMefCcGZnHPwHnI9Lp4YpPnpgrkXIAjP7X8uKyFYojDGTAt/2P0HXm98nY+c+JHh10bau4HNejIwgfMn0rm9sOJq/Huf4pw5uTz55iFUtV+RCn8Fv/3gb7nypCuzEoIlCmPMMa+9p53vvPgdTik9hQ8t/NDQBWPd8Ob/Y3PeOQRyPZw8c4L7J1KWXQVePxewmQOtnbxZ235YkXmF87K2OKAlCmPMMe/2l26npbuFf179z8N3Yr9wBzTXsFmWsuz4YjzuSfIR6S+BpR/hvLq7EeCJNw5vfsqmSfJdMMaY7NjeuJ0H336Qj5z4EU4qPWnogm0H4Nnv8PTMq3mnVZlVnDd+QWZi1T9SlmhieXF40GGy2WSJ4iht29vCHU/vHL9dr4wxGWvuauafN/4zZXllfOa0zwxf+ImvsS1WzTV7zgPgN9v2T66f67KFsPACzu9+kjdr23m3OXLka8aIJYoR6E0Ke5ppCnXzm23v8rd3Ps93Hn972C0SLZkYM/72tu/lij9cwf6O/dx61q0EcoZZr2n3s8S2/5Y7Av+baMLpKI7Hx3E3u0ytvp7zY88CcPNvXx23z5Ss7HB3LPrdKwe44YFXhjzfFU3w+9cOHrZe/bY9zXz0J5uJxhN43C6+ddmpvGdOMbsaQuyoa2fVvDKWHV/Mtr0tbKppYtW80t57bNzZyJbdzZy1oJQV1aWDlhl4bLRljJnq0v9fu/P28r///L9xiYufXvhTlpQvOazMsuOLIR5j25O/5KHn3+b5+G3sayggNW1iXHezy9S8NTSv/ALyXII//6WJ53a+wF1XLuPcE2dk9edaBg6zGpObiriAHwFLgW7gU6q6M+381cC1QAy4VVUfFZEy4H4gDzgIfEJVI4OVHe7Zy5cv161bt4445sG+yc/vbOSXm/dS0xDmrbqOvvcHnHtiBcvmFHHbUzuJxhOkvotnzi9lTomfIr+X/S2d/HlHPZGe+JDPdQmsrC5h694WYnHF7RKWHlfE3sYwjeGefs/UtK/nlPjJ9brYWR8ioc595pcH2NXQ93pFdQlul4tNu5qIq3PvFXOL2bKnhURC8biF7//dUi45dSavvNs64oQz1LHRfK8zuc94JrjRPitbMWYzntGWGatfUtKPnX5cEX/eUc/zuxq56JRKVgwzPNW5rpHZRX7erG3nx8/WAIqI4pv1c+bP6uT6Rd+l5pCH98wp4o2D7XzzjzuIJ9T5+SiP4W7bxwvdc0ngQoAvXLSIlXNL2LS7edL+InXH0zv5zuM7SO3jDcrCImF3u5BQJcfjGtVOfCKyTVWXD3ouS4niMuCvVfUqEVkFfFlVP5A8Vwk8CSwHfMCG5NffAV5S1XtF5Es4CeZXg5VV1e6hnj2aRLFtbwsfvnMDCQQBgq4eIgk3sWSFS1AuDNTwdPh4YurCK3F+OecRluUdYlvnDDZFZnJSTiOPdizgv9sXkfoHLHZHWJLbwPOR2cQRPKL8n9IXeaO7jD92zEeTH/8ulERvK6BS7o5Q7onwVncZiiAos73t7I8W9F6zMKeFqLrYEy0klUYCrh5CiZze16XuThIqtCR8vcfcJIjjou8/GeQQI4obBdwoq/wH2ByZSRwXbhJcVfw6gnJvyxJiyWMXBWsIJ7w8E56DIrhJ8E/lm6j0hvlLdwmn+w5xsq+ROMIrnRVsicxkYW4LnQk3/96wmhiCB+UfS18C4M6m9xBD8Iry9RnPkScxXumsoMwTAYQXI5U8Fzku+SzlupKXmZXTwf6eICv8Bzktz1mP/7XOcrZEqjgtr54TfU282lnBy50zOMN/kJX+OnwS442uMjZFZnJ63iEW5rawJVLFlkgVC3NbmOUN8XpXGT9sXN4b4xfLN7Ekr4F9PUHe7C7jPXmHOM1Xz47uEp6PzKLY3UVM3WzprGRzZBYKeEjw9RkbmJ/TwktdlazyH2Spr562eC4bw7N4pWsGp/kOcWpeI292lfJaVwVn5B3kDH8dOZJge1cZGyOzODm3kXDCyxfrziWmLjyS4OaKjZzsa2RndxHbu8pZ4qvn5Lwm3uoq4ZXOGSzIbWGGJ8KrXeWsazqdOC48JPhC+SaW+w+xvyfAts5KFuU206Uevtmwmpg63/tbZzzDGf463uku4qnQXHwSo6aniA2R49Dk/5qz/PuZ4Qnzu/aFxJL/Hv9fYA9PheYSx4UL5bzAHmLq4pnwHBLJMu/Jq+WlzioSCC6UNfn7iKnwXOS43p89IUECd+/Pwqm5DZwX2Euxu4uaniIqPSF8rhgvdlbweMdCEsmrUuXT/19Xe5vYFy0m3ntM0sooZbQRFw8tmg8IboEbL1jE9ecuGNHnx3jbtreFj/1kE9FYAjcx/sa1gWfip1JHCUfzPiYiUXwf2KKqDyRfH1DVWcmv/xq4RFWvS75+GPg34MfJ43UisnTAsX5lVXXIvf9GkyjueHon3318R++HsN+3H5EY4c7jcbpx4lSVP0XAv5tQpJqAfzf5ee8edp9DTe+ltuH9yWsSVJb9icqyZwl3HtfvunDncezc9wlU3YjEmVnxBw7W/1Xv6wVz7gHoV2bWjD9w4NAlaWX+awzKJCgv3kg4Mpdw1/H0/SAlgGGGEAIiUURiJHqTUHa5XJ1pz+r/gTBy6XWzsZLA7eoknvAPuG/6z9cELwUxSiLdqPb9AuK8Tx9Dd3EqLukBSfT7NxPiKO7e1y5XN4Im7+Uc83paiMaKkvdW3O4O4vHAIM+KQe+9EviDr9IVOgVVF15R/rbgbdaH53AwFoDkL1trgrW8EJpBVF143fDLy8qhuJqP/dc2orEE3lH+Jj4R+tXMqnLZtm0TH30k7Pwim4UaRbb6KAqAtrTXcRHxqGpskHMdQOGA44MdSz/ej4hcA1wDMGfOEPvfDmPVvFI8HnEytEs5Y2kdABtenEM8kcDtghPmFVNanPrwXJD8019hYQH1TZq8Rlk0v5jS4vSNUfqum1n5Ko3NxZSVtFBaHKSp5ZW010OVeTULZeI0tTSw4cXjiCcEt0s59cS3eX3HIuIJweVSVp3+GqrC5ldOJZE8ds4ZryS/R+/pLTejrIna+nJSP/RVFQ2IKAcPVfQdK2/gUFNp732WL3kDgK2vnUwi4cLlSlBe0syhxrLeaxbPr6GirLn3WW6XUjWjnv21lb1lKssbAahr6LsuGAjREQr0K5NIuKhvKuk9FsgPEwrn976unn2A0uJWXnpjcW+MSxe/TXNrIXsPzBzy3osX7KaitLnf96OspIX6xtLeMuUlzbjd8X4xFgRCtA+MUV3UN5b0u66ppZiEOvc9+YR3aGsPsu9gVd99giHaO/ruM2/OfspLWnjxtZP7vY+mlqJ+11WWN1DfVJr83iuLF+yita2AA73/Zgnmzmpg38Gq3u/92We8gaqwYevpvfc+ZdE7vPH2wrQyr/X7/+H8v/pL7/8rt0s554ztADz34ul9ZRbV8+pbhSQSCVwu5byVu6ltKGH7O7NJfeCvOKmVU+e4+dmTBcQT4HW7ue+K6wHSmrU+0O83b6/HzWeu+Fs+06+M80H6y0+tmnJ9dsuOL+4X67LV53H/zKnXR/F9YJOqPph8vV9VZye//mvgIlX9dPL1w8A3gLuSx+uTNYr0Y/3KquqQVYax7KMYq/b3qWA07c0DjwFpP5jObzVDHRvpfQbGlMmzblp7Mv/y6BsjLjPY++//oZPZdWMV42Dfs9HEM9h1mdw7k3+zseqjyDTmTAdlTNWfx4kwEU1PHwIuTeujuFlVL06eS/VRnAHkApuB03D6KLal9VEo8LPByqpq11DPHm2iMGNjPBPueI8CG811YxXjWMVzNN/biTTZ4jkWTUSiSI16WoJTf/0EcAmwU1V/lxzJdA1Ow+O/qep/i8gMnMQQBBqBj6pqeLCywz3bEoUxxozcuCeKiWSJwhhjRm64RGEzs40xxgzLEoUxxphhWaIwxhgzLEsUxhhjhmWJwhhjzLCOuVFPItIA7B2HR5XhDOOdaqZi3Bbz+JmKcU/FmGHyxX28qpYPduKYSxTjRUS2DjWUbDKbinFbzONnKsY9FWOGqRW3NT0ZY4wZliUKY4wxw7JEMXp3TXQAozQV47aYx89UjHsqxgxTKG7rozDGGDMsq1EYY4wZliWKURCRlSKyfqLjyJSIeEXkPhF5TkS2JPcEmfRExC0i94jIRhHZICKnTHRMmRKRChF5V0ROnOhYMiUiL4nI+uSf/5roeDIhIl8WkRdEZJuI/K+JjudIROSqtO/xJhHpEpGiiY7rSLK1w90xS0S+CHwcCE90LCNwBdCkqh8XkRLgFeB3ExtSRi4FUNWzRGQNzmZWH5jIgDIhIl6cbXw7JzqWTImID6cpes1Ex5Kp5P+JM4GzAD/w+YmMJxOqei9wL4CI3AHco6qtExhSRqxGMXK7gMsmOogRegj45+TXgrPh8KSnqr8lucUtcDzQOmHBjMx3gXXAwYkOZASWAn4ReUJE/pzccGyyuxB4HXgYeAR4dGLDyZyILAdOVtUp0aFtiWKEkhsnRSc6jpFQ1ZCqdohIEPgN8LWJjilTqhoTkZ8BPwR+OdHxHImIXAU0qOrjEx3LCEVwEtyFwHXAL0Vksrc4lAHLgQ/TF7NMbEgZ+wpwy0QHkSlLFNOEiBwHPA3cp6r3T3Q8I6Gq/wCcANwtIvkTHc8RfBI4P9mHdRrw8+T2v5PdX4BfqOMvQBNQNcExHUkT8Liq9qjq20AXMOgSFJNJsk9ikao+PdGxZMoSxTSQ3Gb2CeCfVPWeiY4nUyLycRH5cvJlBEgk/0xaqvpeVX1fsq3/FeBKVa2b2Kgy8kngewAiMhMoAGonNKIj2wBcJI6ZQD5O8pjs3gs8NdFBjMRkr1qasfEVoBj4ZxFJ9VVcrKqTvbP1f4D/EpFnAS/w2SkQ81T1U+BeEdkAKPBJVZ3UfVmq+qiIvBfYgvNL7/WqGp/gsDKxCKiZ6CBGwibcGWOMGZY1PRljjBmWJQpjjDHDskRhjDFmWJYojDHGDMsShTHGmGFZojAmAyKyRkTq0xZ0Wy8iDw1SrkdEnjiK5zwjIucNOHabiHwquYjcptHe25jRsuGxxmQguQDddap6+RHK1anqqGdii8gVwPtV9ark6xxgB3AqzqzjB1R1KqzDZI4hVqMwJguSNZDHReR3IvKyiFwrIr8WkR0i8o/JMu9LLp/+THI5dS/OWlzniYg/easPAE+o6lRardgcYyxRGJO58wY0PX3hCOVnAx8C/hFnIcaPAxcD1yYXr7sbuExV3wccAK5S1S7gt8DfJO/xCZwly42ZMLaEhzGZ+/ORmp4G2K6qURFpBXapao+ItAA+nGakKuDB5IKnecCTyevuBr6TXFiwWFVfHqs3YMxoWKIwJnuG6wBsBPYDH1DVtuSugyEAVX09uST8DcCUWcTRHLssURiTufMG2QJ3VIsrqmpCRP4P8HsRcQHtwJVpRe4BvgPMGW2wxowVG/VkzBg62lFPR7j3XGzUk5kA1pltzNgqOZp5FEMRkQXAA2N9X2MyYTUKY4wxw7IahTHGmGFZojDGGDMsSxTGGGOGZYnCGGPMsCxRGGOMGZYlCmOMMcP6/wFEpx5sbgXm/gAAAABJRU5ErkJggg==\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Run multiple times for different dataframes or make it into a loop\n", "\n", "\n", "from scipy.optimize import curve_fit\n", "fitE = []\n", "errE = []\n", "for i in range(len(dataFrames)):\n", " fitFig,fitAx = plt.subplots()\n", "\n", " Intensity = dataFrames[i]['Int']\n", " Error = dataFrames[i]['Int_err']\n", " E = dataFrames[i]['Energy']\n", "\n", "\n", " # The guess follows the input list from the function. Amplitude and center position is found from the maximal intensity position\n", " centerId = np.argmax(Intensity) # Index of maximal positin\n", " mu_guess = E[centerId]\n", " A_guess = Intensity[centerId]\n", " sigma_guess = 0.25 # Pure gut feel guess\n", " B_guess = np.min(Intensity)\n", " guess = [A_guess,mu_guess,sigma_guess,B_guess]\n", "\n", " # Call the optimization function, which returns the optimal values (fit) and the correlation \n", " # matrix (Var_mat) from which the actual error estiamte can be found\n", " fit,Var_mat = curve_fit(Gaussian,E,Intensity,p0=guess)\n", "\n", " # For simplicity, it is assumed that the errors are uncorrelated and thus equal to the square root of the diagonal\n", " fit_err = np.sqrt(np.diag(Var_mat))\n", "\n", " # Create a variable against which the fit is plotted\n", " X = np.linspace(np.min(E),np.max(E),101)\n", " Y = Gaussian(X,*fit) # Notice: using the * operator here unpacks all of the values so that you don't have to write them by hand\n", " Init = Gaussian(X,*guess)\n", "\n", " # Plot data\n", " fitAx.errorbar(E,Intensity,yerr=Error,fmt='.-', label='[-1,0,{:.1f}]'.format(np.mean(L)))\n", " # Plot fit\n", " fitAx.plot(X,Y,label='Fit')\n", " # If the fit does not look cirrect, plot the initial guess as the start parameters might be off\n", " fitAx.plot(X,Init,label='Initial Guess')\n", "\n", " fitAx.set_xlabel('E [meV]')\n", " fitAx.set_ylabel('Intensity [Arb]')\n", " fitAx.legend()\n", "\n", "\n", " ## Use the helper function given above\n", " #PrintParameters(fit,fit_err)\n", " fitE.append(fit[1])\n", " errE.append(fit_err[1])" ] }, { "cell_type": "markdown", "id": "e5054d23", "metadata": {}, "source": [ "## Setting up the fitting to the dispersion\n", "Whith a list of energy vs Q position, we can now fit the actual dispersion:" ] }, { "cell_type": "code", "execution_count": 17, "id": "df7fba5e", "metadata": { "execution": { "iopub.execute_input": "2023-05-01T08:23:26.826393Z", "iopub.status.busy": "2023-05-01T08:23:26.826393Z", "iopub.status.idle": "2023-05-01T08:23:26.839663Z", "shell.execute_reply": "2023-05-01T08:23:26.839663Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[3 3 3]\n", "0.074 +- 0.01\n", "0.15 +- 0.003\n", "0.117 +- 0.019\n" ] } ], "source": [ "# Play around and change the two arrays below to your actual fitted values and positions\n", "\n", "FittedE = np.asarray(fitE)\n", "ErrorE = np.asarray(errE)\n", "\n", "Q = np.asarray(QList)#np.array([[-1.39,0.0,0.0],\n", " # [-1.36,0.0,0.0],\n", " # [-1.34,0.0,0.0]])\n", "\n", "\n", "p0 = np.array([0.028,0.152,0.091])\n", "\n", "vals,errors = curve_fit(MnF2,Q.T,FittedE,sigma=ErrorE,p0=p0)\n", "\n", "err = np.sqrt(np.diag(errors))\n", "PrintParameters(vals,err)" ] }, { "cell_type": "markdown", "id": "c65711fa", "metadata": {}, "source": [ "For a good fit the more points, the better. What to consider is to add the uncertainties of the energy positions (if you made constant Q-point cuts) to the fitting routine. Lastly, try to plot the fitted dispersion on to of your data. For this, it can be adventageous to perform a QE cut, i.e. a cut for multiple energies between two Q points as shown below" ] }, { "cell_type": "code", "execution_count": 18, "id": "dd2bc45c", "metadata": { "execution": { "iopub.execute_input": "2023-05-01T08:23:26.842408Z", "iopub.status.busy": "2023-05-01T08:23:26.842408Z", "iopub.status.idle": "2023-05-01T08:23:28.929168Z", "shell.execute_reply": "2023-05-01T08:23:28.928373Z" } }, "outputs": [ { "data": { "image/png": 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RSlIDJSIilaQkiaQoIVNPHYJZHh2hWa2G90XJj3xtX3rOG7c+Np6Wb13hmdORulBFckR28RMAOHxhH6t3x/vVfcudQFwkJwvTWtpIyREL1zj+0zhHtWLcra0bIJU/yo6nsZDOhMSoVOLIurvTbZR6oqcbaum8ZTAlRxxtKW90GqYbB6pISmulMygREakkNVAiIlJJaqBERKSS1ECJiEglqYESEZFKUhZfq5SZkw+fjMd79pFtjLInvnFtPLchDWDY200tZbzkRyODarFLgVRRkb3H0y4FYM9Pxfu1ak9Oz2fuANBAj+2QMrFq62O/LAbWs8z0/i5QYxDTVPoo6+2hvj5KSmUXbgOg9vDjwPLNmrRaDeuKrL1sbQzMyNo4RvO+LrJDKVvx4KG4HR5u27aLgQqny+ZrpTMoERGpJDVQIiJSSWqgRESkktRAiYhIJSlJYjpNyRJ26AgAWT2m+froUKSzBmtSwsRodK7WOuMtLUomNa9rJbBaDXvKJQAcviw6lzfcHQkn2a5vq7RRCYoxyWpP3g6A7T+MD0XHdv1oJE4UCRUraV88HY1kp0cfo+Znx7QiWWJ1jGmWjYyQp1Jny+J9TftA1tuL9cdrKZIjvDNKO2VHh8j37gOaSjqVYK7JEjqDEhGRSlIDJSIilaQGSkREKkkNlIiIVJKSJGbj+aljRHVEh2K+cS3eGCMqJVAUCRU9aQypEjsaq6SoHlG78Hz2Py2uTu85HO9Jx1e/B8Ay6EZeXopEnqG0f977w3j8tO3UHtoT0/r6Js0j85OPjmL7DgBgvVF9Id+6AYDMDFLFiUpXkCmSI1L1COvuhpTo4V3RBNhQfE/54SOLOt5VkSwxnWkbKDO7ZLaVu/t9C4hJRERkVjOdQX0D+A4w9VCH8FRgoO0RiYiIMHMDdaO7/+Z0T5rZ3860YjPbBNwBXOXu9y4wPhERWaGmTZIoGicz+2cze4m1DBo/S+PVCbwfaF8ZXBERWVHmksX3LuClwJ1mdq2ZbZvDMu8FrgMeP53gRERk5Zo1i8/d7wDuMLP1wN8A9wPd081vZlcD+939c2b2thnmuwa4BqCHvnmGvchax4jan8aKqefkZ6Uxotal8ie1yPCzY2msmNwnMnymyopZriVoisyglK148sonA3BsWwdrHonyL12fuR2AfLm9tmWqsZ9987vkKWOLjnSIL9f9rAKKLN7a7v0A+BPPBWD8gs10FO/z7r0A5CMnFz/AWRTHaHZWZB/S1UXe3wOAjUSJNtL3VX5ssFL7yKxnUGb2XDP7AHArcDdw4SyLvBa4ysx2AU8DPmxmW1pncvfr3X2Hu+/onL69ExGRFWou10G9GbgeeJ27z1rr092vKO6nRuoN7r5noQGKiMjKNJc+qP8MnAe808x2mtnGkmMSERGZUwN1HbANuAroBz4815W7+06lmIuIyELM5Se+C939dWb2HHf/NzP7g9KjqqqWZAk7eowsdULnG2JclfENMc5KrTumZ+N1GIoM/SlLiFSoQ3I+sjTulT/lYgAOXRyPuwah+3PfieeW6Wtb9iwj60/748GDSxzMGSDtxz54AoDa4UEA6htWU98cSVLZkTTu1kwJUYstJcZYkSiTEjryVT14lpKcjsZryo9GkoSPjy1ykDObyxlUR/Gznpn1o5JqIiKyCOZyBvV24DZgK/B1ImlCRESkVHO5DupWYLuZneXu+xchJhERkdkbKDN7PfB6oKeoduTul5Ucl4iIrHBz+YnvTcDPA4dLjkVERKRhLg3UfwCPunu97GCWjaaB4qweb0sxiKEPRMmjsY1x2zU8OpGJkubNx8ZPWVdlWDZ9TJZhqZSTP2U7AEe2x+scuD9eU8+XvkdesUygFafp8+u46Ilx53BkmSmrb+GKUlLFAIZZbxf1VDKIczbFtDRPPnxyyY/tosSRrY0BROupHFveU6NzbyptdPBQ3FZ0wMW5NFBfBB40sx8SY0O5u19ZblgiIrLSzaWBej3wK8CRckMRERGZMJcG6sfAt1xXXYqIyCKaSwPVDdxlZt8DHMDdX1VqVCIisuLNpYF6T+lRLFNer+NF2aM9+wCo2eZ40lKyxNnr6CzKitTi1g8daSzfUJXxembYftbTTbY5OoP3PiNK6Yylobw23LobgPGhoXLjkzlpJEOk2yyVucm6eyo5ZtFyUk8ljzr2H8Z64ngf2xglzroOR+kjHx3Dx5fgWLasUYYsW78OgHxDGrOuJxKcaidGIZVm8iqVZprCtA2UmX3W3V+cLtSd9vnyQhMRkZVspjOoK81suiHbDVhfQjwiIiLADA2Uu3ctZiAiIiLN5lLNXEREZNGpgRIRkUqaSxbfJGbW7e4jZQSzLDUGMRwGINu9F4CaR7abb+wnT+VQMve4HY+yQPmxQRoFpCqaRQNgHZ1x293N3heeExPjpXDuxx8EYHz3nqUITeaoUcrG9D/paUvHav3AQWpFOaF6ZLX62rjNjg9SH6xPmn8xWK2G9aXU2pS56Z1N2XtAtu8I+dFjKTRftNgWYtq91cw+3nT/d5qeuqnUiERERJj5J75NTfdf2nTfSopFRESkYa7n+82NUrXPCUVE5IwwUwPl09wXEREp3UxJEj9hZh8lzp6a72s03SkUZYvqg4MA1PbGSWets4PRLdFxamuiQ7WzO5UiGR0jPzmSlm9d4RImTaSOdMvSazj3bAD2X3k2JzfELNv+5vsAjB85sujhyWmYYb+6Jb8BgKuyV844TYLX6/jBGMfVt0Tdgrw3EhNqbCV7+McxLZVDK/WYLo7Zzg5sYF1sd20kS3hXSpI4FHHkBw5VZvynYv8qRmtvNVMD9StN96+b5r6IiEgpZqokMWUNPhERkcVQykURZlYzsw+a2W1m9hUzu7yM7YiIyJmrrKv2fgHA3X8WeDvw7pK2IyIiZ6h5V5KYC3f/FzP7VHp4PitwuPiiYzR79HE6u7YBcPLcGDNmdM06AFblUDt6POY/fCRuU9LEpCv+2925atmp62zaXjGeDE++BIADl0eSx2i/cd7NcQV6fvx4e2OSJTdVIkQxbamTJW7Jb6hkokaRFNXx6H4Ahi+PSit552o6a+cBkN33o5hWRmJCOm4bY0Bt3tRIjhjZFGPS9Twex6rvO1BeHAs022daSgMF4O7jZvYPwC8Br2h93syuAa4B6KGvrDBERGSZKrUwl7v/n8AlwN+apSFmJ5673t13uPuOTrrLDENERJahspIkXmNmb0sPh4A8/YmIiMxJWT/xfQL4ezP7MtAJvNndh0valoiInIHKSpI4weQLfUVEROaltCSJlc7HxwCon6hTe/hxAHrzLQCMbI5svnxVN7XhImsvSn0U2TherzfKJ7U/uOl/bc06O8g2nRXx5THf8FkR2/r76/hdP2jEJ2e+pc7eKzRv/6k/9xNx58tLFMwUiizc3oejq318/SrqaRy4jo1RH8z37ovbNh47WRqPKutP3ynrV5F3x/htncciW8/2HgSgnsaAqvLYc600epmIiFSSGigREakkNVAiIlJJaqBERKSSlCSxAFaL8VXm1NnpOfngCQBq+w4B0NkbnZgnt/aSbYiO1J7e6Oy0AzFPXnRoAp63jBfZxk7O4rVYV4xjk20Y4PiOcwHY//R4buCe2F7vp25XcsQKU5VSR83uuvVuAHbYziWNo1k+HFfR2GN7AMhWX8BIOrazzTFWVHYyjcd0LMojeb0+t2PZWs4jPG8ct0VyhG8aAODk2avpODEOQNeeVEbtyNGJ7S0zOoMSEZFKUgMlIiKVpAZKREQqSQ2UiIhUkhooERGpJGXxLUCRDWO12pwyY4qyR35iCIDaj3YD0De8keFzYzDAsbOiREpnR/zPYKNjWFp3MYhhY1tTDThYmMtAh5Y1SipZd8oeXBNxHHnOeQydFevYfHtkA/Xc9J3J25cVpwrZe0Um4c6dO2NChUodFerFMf7Ao2RrLgJg6LzItFs1tgmArB7HZX5iCG89pIpjdoZj3Do6yXojQ5B0O76ut/F8kb3nu6O0Uj42fhqvaGnpDEpERCpJDZSIiFSSGigREakkNVAiIlJJSpI4DfNNGqgPRokTS0kPtd4eOgb6ABjaGskKXf1RBqmnIyN7/AAAWUcaI2o4SqVE0kUqt9RaBqlZS4kUy2JcJ+vqwlLnqm3aCMCxn4gxaw49KWPNg7HOns/csaDXKVKGIlHjLq9eqaOGlNjgY2N07Y/jfWT9OgCGz10DQG89jq/s8b14KpFUHGOepySpzBr3CxNlyTqxgVjnyEWReDGyNr4jOkYcjqYSR+n7ZjmN/9RKZ1AiIlJJaqBERKSS1ECJiEglqYESEZFKUpLEEig6RPM9++jKouOz3hOdnaNr4vHo9jWsPRlXgFsaP4YiWWFSp2dTdYnm55quRC/GeipYdze2IcaPGd0cFST2PSOW79kPGz91HwDjSo4QWZB8+CQduyPJqW91JCQNnRPVHk6el5IlDh1pHNOeEqcaxzMTSRGNx12RQJX1r8bXRnWKsdXxFZ53RQJU731HyA8diXWeAcevzqBERKSS1ECJiEglqYESEZFKUgMlIiKV1PYGysw6zewjZvbvZvZNM3t5u7chIiJnvjKy+F4NHHT315jZAHAn8K8lbGf5Stl1+dg47I0xW3p6o9RR/eJ1AAye3cH4s6L80Pq747lsXWTuZPsPg0e5lDyNP1OwLEubyLGe7snPrYnsoXztKg49ZS0AB54Z6+k6HPOc8+F7GD90uA0vcgVrzaiUlcdz6keOAFAbjHJiHSfjeBzaEtl4nYNn0/HIfgCy45Gp62Njp6yqyMK1tWnsuPM2cOKcyAysd0f2Xt+eWM52H6A+Otr2l7NUymigbgBuTPcNmHK0LDO7BrgGoIe+EsIQEZHlrO0NlLsPAphZP9FQvX2a+a4HrgdYYwMzVDwVEZGVqJQkCTM7D/gS8BF3/2gZ2xARkTNb28+gzGwzcDPwRnf/QrvXLyIiK0MZfVB/CKwH/sjM/ihNe4m7D5ewreXNc/JU4iR78BEAVo9Fl93Y6s2MRz8oJ7ZFH13v/vi4OkfrMHgilktjzXhKlrDO9JGOjWO9UVqFjjR2VH88PnL5Wk5sSZ2rP47bc2+Ksix1JUicPiVHCE1jPP0wju3uvosAGO1fBcDQ1h76ByNxyfJUlmwkEhx8fBxqaWyozkiq8DWx3NjaLsb6UmmjQ7Fc712xjfrRY2fU/ldGH9SbgDe1e70iIrKy6EJdERGpJDVQIiJSSWqgRESkktRAiYhIJWnAwuk0lau5Jb8BgKuyV57yXLvkIyfjzqOPA7DenX3P2wrAgadGFl7PwcjCW/1YN6sfivs2FFk/ljKDGI71+EA/djzuH31aDIY4tioyf4a2GCPrY/aBu+Ma6frd97XttchpWq6lkpoGySyccuychmJd623Taa9rMeXDkcDc8cM4tnnCxQAc25YxsnYdAGsfiJTdrseOAGDukMqW1Qfi2D56SZQ6G9poUaMH2HDn8djG4VjuTBiksJnOoEREpJLUQImISCWpgRIRkUpSAyUiIpVUrSQJy7il/nFg5k7VGTteS+hgPmU77ey8bllXXozl8vgeNt2UyiBddT4A+58bZZDcOjl8SZRIGbg3OkUtrcbqkfTQ+9ggj/4fWwBY92DMs/95sXxHzxgX/7fHABjff2D62Kzl/5fl1ml/2qzEVTclFLTus+n2lvyGtiQXzNVCExqmWm4u65rPcpPfiwoOfjCH751inLV1d8QYcGN9mxncFvvYeCpLtmZNMVbUOKNr4/7JdbHuY0+Y2B/P/0wkR/CDh4A0ttws21+OdAYlIiKVpAZKREQqSQ2UiIhUkhooERGpJDVQIiJSSea+9Bkxa2zAf8qe356VlVEmZjFLzzRlzlktShzVzt4MwGO/vA2AvAYjG2KerqNx27c3PseTA5Hp03kcxlP1o8Ft8dzGSyNjb+1Lfzjza1mupXba7HbfBcAO2zkxscLvTXMGXLHvzFj6ZrrXstCSRXNcbm6Zeqcqltu5cycAnV8+a/pYKizrjrJGo1dczt4dXQDkkbBH7/50eyBntD+O5eGNKXsv3ax+zFn/qXuANEBhqwrum7P5vN94h7vvaJ2uMygREakkNVAiIlJJaqBERKSS1ECJiEglnXlJEgsxReduJaRObMuid7S2JZIldv/iBRx5UnR+b9u+F4CtfVH6ZO9QjBnz81vv5gWr7wbgbdt/DpjoMPfxsRm3daaNKbNQUyZJlMg6oqd8ys/ndNc9h6SJdpY6Wuhyc1nXYn8ubZeOtayrCy6/CIAf/HpkNF2wfQ8A3R3jrO6Msmd374mSZX239AOw+V8fpL4vsinOlGNVSRIiIrKsqIESEZFKUgMlIiKVpAZKREQqqbTxoMzsp4A/c/edC1tBm67Yn8t6ZquqcBoxWK22sI7MpooSnkciS37gEABbP5Fz1gWRMLHvJ88G4NhV8dzJbw4A8I0XDfH5p65N60rJEVPF0TLm03xjnbLzfaGf3VyWO939Yqrll6o6RMt2Tzc5YqYEg9NNjphpnnaN+dQ8bar9qlhuvZ1mBYmlrgaStpuPjlJL4zlt//sLAHj4pecAcMXL7uTz920HYP2XYqyoTbdFYkR+8FDjO2HJX0vJSmmgzOz3gdcAJ8pYv4iInPnK+onvh8Avl7RuERFZAUppoNz9fwMz/l5hZteY2e1mdvsYI2WEISIiy9iSJUm4+/XuvsPdd3TSvVRhiIhIRSmLT0REKqm0UkdmdgHwMXd/9mzzVn48qKXenp36f0RtVV9sdjTKoVhfPLbNGwEYv+/BiZmnGO+nyJJqzFJkkJ1u2acqlo1aYEwLLqmzXDKr2hSnSh0tUPPYb6mcWXFcWl8fpO/mfHBw0vxTZmRWfV+bxXSljkpLM3f3h4BZGycREZGp6Cc+ERGpJDVQIiJSSWqgRESkkkrrg2q3W/Ib5tYJW2Jn4ZTj9cy2vTl20M84Xs8USQ71E0PpbnSu5kePxXPFbWsMQNbZ0Xg87dhQp/v+TbX8UicNlL3d1td3mttb6LhQWW+UxMmHh+e2QIpzoaWOyiiRVEybaXunXeqoVdmJPdPt/55PJD6k0kVej6QnxsanWFHTd8MU3wlTTp/tufnMM5/52kRnUCIiUklqoEREpJLUQImISCWpgRIRkUpSAyUiIpVUWqmj+Zip1NFCy6icEeaSmZMUGXqNLMCmTL3amv6YVJRHOnac/GRUkD/dQfKWXIlZRXMqqVPF0k4LVEam3ny3N62m93nsihi4r/PLbc7mWyzNx26x76RprSXIoOmYbmeG7EKy/ua7r88je/Dz+f83ZakjnUGJiEglqYESEZFKUgMlIiKVpAZKREQqqRJJEmZ2HPjBUscxDxuBA0sdxDwo3nIp3vItt5gV7/yc7+6nZL1UpRbfD6bK4KgqM7td8ZZH8ZZrucULyy9mxdse+olPREQqSQ2UiIhUUlUaqOuXOoB5UrzlUrzlWm7xwvKLWfG2QSWSJERERFpV5QxKRERkEjVQIiJSSaU2UGbWZ2a3mdmlUzy30cxuNrN/N7OPm1lfmv6bZna7mX3dzF4207yKV/FWLd70XGZmN5nZG1qWudTMjppZzxLEu83MPm9mu8zsVjPbnqb/ZHoNXzGzG82sx8w6zewjafo3zezlZcQ7W8xN8/ycmT2a7m9Jr6H4O2JmbzCzATP7THodnzSzTUsY75vN7E+bHr/FzO5uinn7YsRrZr9gZt8ys6+Z2W9O8fzHmmJ6KD1+cdO0W82sbmZPalrmz1v361K5eyl/wA7gdmAPcOkUz/9P4Op0/w+AtwBbgO8C3cDapvunzKt4FW/V4m167k+ArwNvaJq2Bvg0sA/oWYJ4/wH4xXT/RcAnAAPuBC5K018HbAd+HfiLNG0AeKTd8c4l5jTPecAngT1TPPfTwBeBGvBe4A/T9BcAf7cE73Ev8E/A/cCfNk3/R+CZLfOWGi/QCTwArAe6gG8Bm6eZd33aD7a2TP894E/S/bOAm4AfNu/XZf+VeQbVDfwScO80zz8H+Gy6fxPxIT0LuM3dR9z9KPEGP2WaeRWv4q1avJjZK4C86TnMzIgsqT8EhkqIdS7x/g7RQEJcoH8SuAQ4CLzFzG4FBtz9B8ANwB+leQ0YX4qY05nmdcBvTfGcAX8F/Fd3rwOXEZ8DwG3E57Oo8QI9xD8C726Z/kzgbels6W1pWtnxPgl4wN0Pu/so8BXgimnmfSfwV+6+u5hgZucCr0nPAawGrgU+0uY4Z1RaA+Xut7n7ozPMsgY4mu4fJ/5Dbp423fRiWlspXsXbbCHxmtnlwKuAP26Z9x3Ap939rnbHWZgtXnc/4O5j6ae99xJfPBuBnwH+mmhgn29mV7r7oLsfN7N+4Ebg7UsRc4rrve7+2BTP/QJwd2pQIc4Aip8iXw60/WffObzHh9395ime+hjwBuBK4Dnpp+o7KTfe6Y6dSdJPi88HPtTy1FuBP3f3EQB3/5G7f6PNMc6qrQ2Umb2r6ffLU0femuwY0J/u9wNHWqZNN72YpngVb9Xi/TXgHOJnp6uBt5rZi4FXA79hZruIny2n+hIrO17M7HnAvwCvSV/sB4n/su9x9zHirG9Hmvc84EvAR9z9o+2Idz4xm9nZwHOBd6T3bcDMPtY0y6uZfO3Oe4ALzOzLwAXATA1f2+OdYXkjfi49kM5kPg08vex4gX8lGqnCdMfJK4CPprPQYh0Z8DKiYV1Sba3F5+7z+U/rNuDniZb7JcC/A98E3p1O7buJ09TvTTOv4lW8lYrX3f+seNLMriX6TT4LXNQ0/SHghW0Id17xpsbpL4EXu/vDafKDwGozu8jdHyAahA+Y2WaiEX2ju3+hHbHON2Z3f5zoDyvi3+Puv9o0yw7gq02PrwD+1t2/amb/ifh8Fi3eGawBvpcSDU4QZ1EfpOR4zawT+L6ZDQCDaXvvnWKRFwDvapl2OXCvuw+3I6bTUnYnF7CL1KFIdLh+It3fTPzHdhvRCboqTf9NokPvDuA/zTSv4lW8VYu3ablrmaIzGXiIEpIk5hDvXUTfya709/40/UriH4FvAX+Zpv0lkQiwq+mvd7FjbplnT9P9s4A7W56/iGiwvkr0oa1ZqniJs+fmJInXpPf3K8A7Fyte4mfQ4tj57TTtMuB/Nc1zN7CuZblXkpJkpljnlPt1WX+qJCEiIpWkC3VFRKSS1ECJiEglldZAzeEq5ovSdQH/bmZ/kzJHMLN3WFy9/lUze9ZM867UeC0qFVyXYt1lZhe1PD/n6gtTzdtuilfxLveYFW/5+8SUSupEnPUqZiINcme6fx1xAdwziBRdA7YB35pu3hUe7y8DH0r3nw18sum5OVdfmG7eEvYHxat4l3XMirf8fWKqv7LOoOZyFfMzgVvT/eJK/OcAN3t4BOgws7OmmXclx9uoYuDuXyddu5LMp/rCdPO2m+JVvMs9ZsVb/j5xirIaqLlcxWyemmpmrxww1byKd0LdzDqmeW6m6gtzutpc8SreEiy3mBVvufFOqZRKEsztKuZ8iuenqxww1bynbbnF26R1u5m7j0/z3EzVF6abt90U7+Tp7bbc4p0qrqrHrHgnT18UbW2g3P3t7r6TuIjxIouS8l3Ez2Vfa5n9O2a2M90vqgHcBrwodfBtI97UA9PMu+LibVJUMcDMnk38Llz4JvBci2ET1nJq9YXmmKabt90Ur+Jd7jEr3vL3iVOV1bnFLFcxE5WUbyUagg8CtTT9WuAbadnnzDTvSo2X+MfiOuIq9K8BlxLFHV+enp9z9YWp5i3hvVW8indZx6x4y98npvpTJQkREakkXagrIiKVpAZKREQqSQ2UiIhU0lKWOnq6mT1mE4OB/ec0vaqljp6Wtr/LzD5nMWYOZvbbablvmtmvpGl/0PS67jSzPW2OdSFlTLaZ2efT/Lea2XYz29IU5y4zO2Jmb2hnrHOM9y1m9o309440bcDMPpM+909ajPw56+e0GPE2zXNT8X5ZaN6f35Om/2Tab75iZjdajG21qPFO8/6uSu/rl9N+cU6a/oKmfad1nKDFindO+2/T/H1mdpuZXVpGvE3bWTbl0JZjvFMqKYNkLqWDXgf8Tsu0Kpc6uhV4Wrr/euB9xJDZ30vL9xOjYlrLcp8CXtjmeBdSxuQfgF9M87yIU8ew+en03peRITlTvE8Ebgdq6XO/jbhS/b3AH6Z5XgD83Vw+p7LjbZrnT4Cvk8bGIcb3+beWeYwY2vuipn1+e0Xe3zcDf5zmuZqJsaC+Q2SvGlFR5cmLHO+89l+iQsLtxPhVl7Y71qa4lls5tGUV73R/S13q6KXpP7gPmFk/1S519Kvufme63wGc9Ljm6Wkew2VvSdMaaZFm9svAYXdvyxDfTRZSxuR3iOGmG/E3xWnAXwH/1ZuGfl6keB8lRnmtp/euM8V2GfFZQ3ypPoe5fU5lx4uZvYK4GPuzTZOfCZxjZl9KZ37bicsNDgJvMbNbgQGPodYXM94p3193/wvg3WmebUxcfPkdYhC+TqAHWOz9Yb77bzfxxXpvCXE2W27l0JZbvFNaylJH3wR+z92vIIaefscMyy15qSN33w1gZj8DvBH48zR93MzeSPw3/Y8t630b8M42xzpVvLOWMXH3A+4+lr4439sS1y8Ad5f05TljvO4+5u4H0k9k7wW+4+73EWceL0/zvxzom2I9i14mxswuB14F/HHLMruB97j784izq38kzrB/Bvhr4oB+vplduZjxzvD+4u51M/si8N+Af07Lfpc467+HaNzK+OJv2/7r7re5+6MlxDhbzMutHFrV453SUpY6+md3v6O4Dzydapc6wqKf7Drgpe6+v5ju7n8NbAWuMLPnpXkvA464+wPtiLXFQsqYkGL7F+A1LY3Rq4HrS4izMFO8pH6Zf0rz/Faa/B7gAjP7MnAB8WVZhTIxvwacQ/wMcjXwVjN7MfEz0ycB3P0rwNnAIeK/2HvSWfZnaTkbW4R4p3t/SbFeCTwX+N9mto74p+on3P1C4H7izGUx413I/luaeX5HLHk5tOUW72yWstTR54oOOOD5xFXKlS11ZGavJs6cdrr7g2nadjP7RPqJbAwYYeKDfAETP1G127zLmKSD+y+Jn3tub1nfDuKK87JMG2967z4J3OXur2/6ifEK4G/TGfYDaR33ABfPsl+VGq+7/767/1Tabz4EvM/dP0v8AvDmtMxTiQb1h8Bqm0gCeC5w92LGO937a2ZvM7PXpNkGiZ/yhtP9wTR9N9GHsWjxsrD9tzTz/E5b8nJoyy3eWXl5nYqzlQ56RnozdgEfA9ak6ddSsVJHRAfzIeJnp13p751pnncQP+99jdTpnKb/P6RO3RJiXUgZk7uIn2uK+N+fpp8F3FnWfjBbvET/wcmmuHYRCRsXpfm/CtzQtH+c8jkt9vvbNN+1TCRJrCf6SG4FvkDqsAeuJL50v0VKRKjI+1uUtdlFfNn8bFrXLxHH361Ew7a+yvtv0zp3UWKSxHT7HhUth7Yc453qT6WORESkknShroiIVJIaKBERqSQ1UCIiUklqoEREpJLUQImISCWpgZJKMrOrzewRM3urmV1rLUVsLQqJXtAybVcqcnmZmT2UymjtSgUuv2NmO5rmu7Rl2Z1m9rGWaX+a4niXme1JF+ROF+9D6YJYLIrw3pWunWue50Nm9h9mdmVTrLtSnN81s5c0zffilmUvMLOvt0x7Q3pv3pi2P22h36lec8vzo2Z2c9rOMZsoevt1iyKt69N8pxQ+nunzMbNPmdlJM7s8Tft66/Ii01EDJVX2UXd/3zyX+TV3/366/0J33+nuzwX+gLi+Y97c/e1Mrrs3LYuq4DcD73D31tJXAL/v7l9sinWnx8XIrwD+7wXG99fERcOn45C7vzDd/36Ka6e7P5u4HuY3Fhjby4hCrg8Av3qaMcoKowZKVorzgcMlb2Mb8Hngre7+L/NcdjHim7dUieI8KhibnPk6Zp9FpBLeambN/4FfNodlbk4/u51NnAH97gK2O58r2W8EhoBNc5z/w2Y2TjRsXwN+fZ6xwfzim6vLUj23AaCXqOP3DwtYj6oAyGlRAyXLxfvc/briwRz7Ml7o7ifN7E+AJwD7Zph3mBi6odnqNH2uXgvsBW4zs2+7+2yVwH/N3e81s9cTFdIfKTm+ufq+u+80s17g34C93lR8doljkxVEP/HJSvB24izqt2aY5x7g6Wa2FRoVwK8Avj2P7XzPY+iHtwI3pC/4Wbn7+4nG6d0zzLYP6Leoko+Z1YCriP6hUrj7MPBfgD9OBXCn823g5TYxJMmFQLe7z/QPgcisdAYlZzx3z83sdcCXzawY9+hGMysGvdvl7r9rZm8FPm1mQ8QopH/lLcOlmNnTgKvd/c0zbO/GlIX3v5j7z3ZvAv7DzIrEiv9pZsfS/R+4+38xs6uBD5pZTgwo+El3/1JLfFuAv3D3qRISTnnNswXl7nvN7HeB91uMhbbBzJqrif8Pd/9/zew5wB0pZiOGJRE5LWqgpPLc/doppj17lmUuaHl8PzFmF8DOaZb5BPCJWcK5Hzgxh+29bpb4drY8PgScmx5ePc0yXyGGSJ/JAeCx2bY3Q1wPtW7D3f+J6IeCaBinWu4dRGV/kbbRT3xSZa9KZzXz8eHiZ7B2MbN3AcV1SR3An53G6v67tXlUXYsRna8uHrKwdPUBM7u5bUEVwZh9CthCDJ/ysVlmF5lEw22IiEgl6QxKREQqSQ2UiIhUkhooERGpJDVQIiJSSWqgRESkkv5/P0h/thJN4DAAAAAASUVORK5CYII=\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Play around if you get to it!\n", "%matplotlib inline\n", "\n", "Q1 = np.array([-1.0,0.0,-0.5])\n", "Q2 = np.array([-1.0,0.0, 0.5])\n", "Q3 = np.array([-1.5,0.0, 0.0])\n", "Q4 = np.array([-0.5,0.0, 0.0])\n", "\n", "Energies = np.linspace(0.5,7,41)\n", "\n", "width = 0.05\n", "minPixel = 0.02\n", "\n", "ax_QECut,data,bins = ds.plotCutQELine(QPoints=[Q1,Q2,Q3,Q4],EnergyBins=Energies,width=width,minPixel=minPixel,constantBins = True,plotSeperator =True)\n", "ax_QECut.set_clim(0,0.25)" ] }, { "cell_type": "markdown", "id": "67d7d8ba", "metadata": {}, "source": [ "## Overplotting fit and data\n", "The way this plot works is to plot the intensity as function of energy and distance in 1/Å from the start position. This is due to the possibility of plotting multiple cuts in the same plot. This also results in it being a little difficult to plot the theory directly on top. However, this can be achieved as shown below." ] }, { "cell_type": "code", "execution_count": 19, "id": "8d7e2917", "metadata": { "execution": { "iopub.execute_input": "2023-05-01T08:23:28.931131Z", "iopub.status.busy": "2023-05-01T08:23:28.931131Z", "iopub.status.idle": "2023-05-01T08:23:29.036959Z", "shell.execute_reply": "2023-05-01T08:23:29.036105Z" } }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Q = []\n", "# Extract the positions into the form [[[h00,k00,l00,0],[h10,k10,l10,0]...],[[h01,k01,l01,1],[h11,k11,l11,1]...]]\n", "for I,G in enumerate(data):\n", " # Yes I know... this is not the most beautiful ever...\n", " q = np.array(list(G.groupby('Energy'))[0][1][['H','K','L']])\n", " Q.append(np.insert(q,3,np.full_like(q[:,1],I),axis=1))\n", " \n", " \n", "import copy\n", "QforPosition = copy.deepcopy(Q)\n", "# Generate the correct positioning on the plot\n", "positions = [ax_QECut.calculatePositionInv(q) for q in QforPosition]\n", "\n", "# Calculate the prediction of the energy for the Q values\n", "# Here we use 'vals' that you have fitted earlier, otherwise use p0\n", "Etheory = [MnF2(q.T[:3],*vals) for q in Q]\n", "\n", "\n", "# Plot the prediction on top of the data\n", "for pos,Ecalc in zip(positions,Etheory):\n", " ax_QECut.plot(pos,Ecalc,color='r',linewidth=2)\n", "\n", "ax_QECut.get_figure()" ] } ], "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": "3.9.7" } }, "nbformat": 4, "nbformat_minor": 5 }