├── 1 ├── MLP_Basics_Data.ipynb ├── MLP_Basics_Data.pdf ├── MLP_Basics_Intro.ipynb ├── MLP_Basics_Loss.ipynb ├── MLP_Basics_LossFunctions.pdf ├── MLP_Basics_Metrics.ipynb ├── MLP_Basics_Metrics.pdf ├── MLP_Basics_Model.ipynb ├── MLP_Basics_Model.pdf ├── MLP_Basics_ModelEvaluation.ipynb ├── MLP_Basics_ModelEvaluation.pdf ├── MLP_Basics_Model_Selection.ipynb ├── MLP_Basics_Model_Selection.pdf ├── MLP_Basics_Optimization.ipynb ├── MLP_Basics_Optimization.pdf ├── MLP_intro.pdf └── README.md ├── 2 ├── MLP_NN_BackPropagation.ipynb ├── MLP_NN_BackPropagation.pdf ├── MLP_NN_FeedForward.ipynb ├── MLP_NN_FeedForward.pdf ├── MLP_NN_Intro.pdf ├── MLP_NN_Introduction.ipynb ├── MLP_NN_Libraries.ipynb ├── MLP_NN_ModelEvaluationa&Tuning.ipynb └── MLP_NN_implementation.ipynb ├── 3 ├── MLP_CNN.pdf ├── MLP_CNN_ConvNet.ipynb ├── MLP_CNN_Convolution.ipynb ├── MLP_CNN_Example_Galaxy_ZooII.ipynb ├── MLP_NN_CNN.pdf ├── MLP_NN_RNN.ipynb └── MLP_NN_RecurrentNeuralNetworks.pdf ├── Assignments ├── A1 │ ├── A1.pdf │ └── Readme.md ├── A2 │ ├── A2.pdf │ └── README.md ├── A3 │ ├── A3_Farsi_Hand_written_digits.ipynb │ ├── X.npz │ └── Y.npz ├── A4 │ └── Assignment4.md └── A5 │ └── NN_datareduction.md ├── CheatSheets ├── Importing_Data_CheatSheet.pdf ├── Jupyter Notebook_CheatSheet.pdf ├── Keras_CheatSheet.pdf ├── Matplotlib_CheatSheet.pdf ├── NumPy_Basics_CheatSheet.pdf ├── Pandas_2_CheatSheet.pdf ├── Pandas_basics_CheatSheet.pdf ├── Python_CheatSheet.pdf ├── SciPy_CheatSheet.pdf ├── Scikit-Learn_CheatSheet.pdf ├── Seaborn_CheatSheet.pdf ├── git-CheatSheet.pdf └── pytorch-cheatsheet.pdf ├── Data ├── Entanglement_Detection_Data.gz ├── Farsi_digits_X.npz ├── Farsi_digits_Y.npz ├── MLP_Datasets.ipynb ├── PRSA_data_2010.1.1-2014.12.31.csv ├── PSI.jpg ├── README.md ├── Spring.csv ├── bbr.csv ├── bbr.xls ├── monthly-sunspots.csv ├── particle_mini.npz └── random_tweets.csv ├── Data\MLP_Datasets.ipynb ├── Project ├── Milestone1_data.pdf ├── Milestone2_TraditionalTechniques.pdf └── README.md ├── README.md └── bbr.csv /1/MLP_Basics_Data.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sraeisi/MachineLearning_Physics/255f1bf31f974d64a76828715543d6e5b0395ee5/1/MLP_Basics_Data.pdf -------------------------------------------------------------------------------- /1/MLP_Basics_LossFunctions.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sraeisi/MachineLearning_Physics/255f1bf31f974d64a76828715543d6e5b0395ee5/1/MLP_Basics_LossFunctions.pdf -------------------------------------------------------------------------------- /1/MLP_Basics_Metrics.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sraeisi/MachineLearning_Physics/255f1bf31f974d64a76828715543d6e5b0395ee5/1/MLP_Basics_Metrics.pdf -------------------------------------------------------------------------------- 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basics ML techniques for supervised learning, optimization techniques, metrics and more. 8 | -------------------------------------------------------------------------------- /2/MLP_NN_BackPropagation.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sraeisi/MachineLearning_Physics/255f1bf31f974d64a76828715543d6e5b0395ee5/2/MLP_NN_BackPropagation.pdf -------------------------------------------------------------------------------- /2/MLP_NN_FeedForward.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sraeisi/MachineLearning_Physics/255f1bf31f974d64a76828715543d6e5b0395ee5/2/MLP_NN_FeedForward.pdf -------------------------------------------------------------------------------- /2/MLP_NN_Intro.pdf: -------------------------------------------------------------------------------- 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https://raw.githubusercontent.com/sraeisi/MachineLearning_Physics/255f1bf31f974d64a76828715543d6e5b0395ee5/Assignments/A2/A2.pdf -------------------------------------------------------------------------------- /Assignments/A2/README.md: -------------------------------------------------------------------------------- 1 | Assignment 2 2 | ============ 3 | 4 | 5 | The deadline is April 16th 6 | ========================= 7 | 8 | 9 | 10 | Let’s build a classifier! 11 | 12 | 13 | • You should develop your own classifier and you should use all things that you have learned from the course until now. 14 | 15 | • It is recommended to develop a logistic regression model that outputs the probability of different classes. 16 | 17 | • It is recommended to develop an object-oriented implementation, where similar to the scikit-learn library, the classifier is an object with functions for training and predictions (i.e. predict(), fit(), and so on). 18 | 19 | • It must have the capability of using different loss functions (penalty) and different optimization methods which can be assigned to the model. 20 | 21 | • Then choose a dataset and test your model. Try it with different loss functions and optimization methods. 22 | 23 | 24 | 25 | -------------------------------------------------------------------------------- /Assignments/A3/A3_Farsi_Hand_written_digits.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "code", 5 | "execution_count": 1, 6 | "metadata": {}, 7 | "outputs": [], 8 | "source": [ 9 | "import numpy as np\n", 10 | "import pandas as pd\n", 11 | "import matplotlib.pyplot as plt" 12 | ] 13 | }, 14 | { 15 | "cell_type": "markdown", 16 | "metadata": {}, 17 | "source": [ 18 | "# Load the data" 19 | ] 20 | }, 21 | { 22 | "cell_type": "markdown", 23 | "metadata": {}, 24 | "source": [ 25 | "The original data is taken from \n", 26 | "\n", 27 | "http://farsiocr.ir/\n", 28 | "\n", 29 | "website and transformed to the current format. " 30 | ] 31 | }, 32 | { 33 | "cell_type": "code", 34 | "execution_count": 2, 35 | "metadata": {}, 36 | "outputs": [], 37 | "source": [ 38 | "X = np.load('X.npz')['arr_0']\n", 39 | "Y = np.load('Y.npz')['arr_0']" 40 | ] 41 | }, 42 | { 43 | "cell_type": "code", 44 | "execution_count": 3, 45 | "metadata": {}, 46 | "outputs": [ 47 | { 48 | "data": { 49 | "image/png": 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" 52 | ] 53 | }, 54 | "metadata": { 55 | "needs_background": "light" 56 | }, 57 | "output_type": "display_data" 58 | } 59 | ], 60 | "source": [ 61 | "rand_ind = np.random.randint(0,100000)\n", 62 | "fig = plt.figure(figsize=(6,4))\n", 63 | "ax = fig.add_subplot(111,title = 'This should be a {}'.format(Y[rand_ind]))\n", 64 | "ax.imshow(X[rand_ind])\n", 65 | "plt.show()" 66 | ] 67 | }, 68 | { 69 | "cell_type": "code", 70 | "execution_count": 4, 71 | "metadata": {}, 72 | "outputs": [], 73 | "source": [ 74 | "X = X.reshape(-1, 32*32)" 75 | ] 76 | }, 77 | { 78 | "cell_type": "markdown", 79 | "metadata": {}, 80 | "source": [ 81 | "# Assignment\n" 82 | ] 83 | }, 84 | { 85 | "cell_type": "markdown", 86 | "metadata": {}, 87 | "source": [ 88 | "- Train a some basic classifiers to get a sense of the bias and variance.\n", 89 | "- Calculate the confusion matrix. (You can use the built-in scikit-learn functions)\n", 90 | "- Calculate the recall, precision, AUC and f1-score for each class. (You can use the built-in scikit-learn functions)\n", 91 | "- Do you need more data?\n", 92 | "- Make a comparison table like the one in \n", 93 | "http://yann.lecun.com/exdb/mnist/ \n", 94 | "\n", 95 | "5 Classifier would suffice. You can use one type of estimator but with different settings, e.g. kernels. Also calculate the accuracy for the training and test set with cross-validation and add training time and prediction time for the test set to your table.\n", 96 | "\n", 97 | "- Apply PCA and TSNE for n_component = 2, 100\n", 98 | "- Find the (roughly) optimal value of n_components for PCA. \n", 99 | "- Train your classifiers in the comparison table, this time with the reduced data. \n", 100 | "\n" 101 | ] 102 | } 103 | ], 104 | "metadata": { 105 | "kernelspec": { 106 | "display_name": "Python 3", 107 | "language": "python", 108 | "name": "python3" 109 | }, 110 | "language_info": { 111 | "codemirror_mode": { 112 | "name": "ipython", 113 | "version": 3 114 | }, 115 | "file_extension": ".py", 116 | "mimetype": "text/x-python", 117 | "name": "python", 118 | "nbconvert_exporter": "python", 119 | "pygments_lexer": "ipython3", 120 | "version": "3.6.6" 121 | }, 122 | "toc": { 123 | "base_numbering": 1, 124 | "nav_menu": {}, 125 | "number_sections": true, 126 | "sideBar": true, 127 | "skip_h1_title": false, 128 | "title_cell": "Table of Contents", 129 | "title_sidebar": "Contents", 130 | "toc_cell": false, 131 | "toc_position": {}, 132 | "toc_section_display": true, 133 | "toc_window_display": false 134 | } 135 | }, 136 | "nbformat": 4, 137 | "nbformat_minor": 2 138 | } 139 | -------------------------------------------------------------------------------- /Assignments/A3/X.npz: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sraeisi/MachineLearning_Physics/255f1bf31f974d64a76828715543d6e5b0395ee5/Assignments/A3/X.npz -------------------------------------------------------------------------------- /Assignments/A3/Y.npz: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sraeisi/MachineLearning_Physics/255f1bf31f974d64a76828715543d6e5b0395ee5/Assignments/A3/Y.npz -------------------------------------------------------------------------------- /Assignments/A4/Assignment4.md: -------------------------------------------------------------------------------- 1 | Make yourown code for NN including 2 | - Back-prop 3 | - feedforward 4 | - Mini-batch 5 | - Gradient Descent with Adaptive Learning Rate 6 | - Gradient Descent with RMSprop, Momentum and Adam optimization methods 7 | 8 | Try different learning rate and different optimization techniques and see how affect the training. 9 | 10 | Try different batch-size and see how that affect the training. 11 | -------------------------------------------------------------------------------- /Assignments/A5/NN_datareduction.md: -------------------------------------------------------------------------------- 1 | In this assignment, you are to find a way to effectively reduces the size of your data. 2 | 3 | Take the farsi hand-written digits and devise a way to reduce the size of the data such that you still can classify the samples with and accuracy above 97%. 4 | 5 | What's the smallest number of features, with wich you still can keep the accuracy above 97%? 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1.76E+11,1.18E-22,1.20E-22,5.83E-23,6.00E-23 4 | 2.65E+11,2.64E-22,2.70E-22,1.29E-22,1.35E-22 5 | 3.53E+11,4.67E-22,4.80E-22,2.27E-22,2.40E-22 6 | 4.41E+11,7.24E-22,7.49E-22,3.49E-22,3.75E-22 7 | 5.29E+11,1.03E-21,1.08E-21,4.96E-22,5.40E-22 8 | 6.17E+11,1.40E-21,1.47E-21,6.65E-22,7.34E-22 9 | 7.05E+11,1.81E-21,1.92E-21,8.56E-22,9.59E-22 10 | 7.94E+11,2.28E-21,2.43E-21,1.07E-21,1.21E-21 11 | 8.82E+11,2.79E-21,3.00E-21,1.30E-21,1.50E-21 12 | 9.70E+11,3.36E-21,3.63E-21,1.55E-21,1.81E-21 13 | 1.06E+12,3.96E-21,4.32E-21,1.81E-21,2.16E-21 14 | 1.15E+12,4.62E-21,5.07E-21,2.10E-21,2.53E-21 15 | 1.23E+12,5.32E-21,5.88E-21,2.40E-21,2.94E-21 16 | 1.32E+12,6.06E-21,6.74E-21,2.71E-21,3.37E-21 17 | 1.41E+12,6.85E-21,7.67E-21,3.04E-21,3.84E-21 18 | 1.50E+12,7.67E-21,8.66E-21,3.38E-21,4.33E-21 19 | 1.59E+12,8.54E-21,9.71E-21,3.73E-21,4.86E-21 20 | 1.68E+12,9.44E-21,1.08E-20,4.09E-21,5.41E-21 21 | 1.76E+12,1.04E-20,1.20E-20,4.47E-21,6.00E-21 22 | 1.85E+12,1.14E-20,1.32E-20,4.85E-21,6.61E-21 23 | 1.94E+12,1.24E-20,1.45E-20,5.24E-21,7.25E-21 24 | 2.03E+12,1.34E-20,1.59E-20,5.64E-21,7.93E-21 25 | 2.12E+12,1.45E-20,1.73E-20,6.04E-21,8.63E-21 26 | 2.20E+12,1.56E-20,1.87E-20,6.45E-21,9.37E-21 27 | 2.29E+12,1.68E-20,2.03E-20,6.87E-21,1.01E-20 28 | 2.38E+12,1.80E-20,2.19E-20,7.29E-21,1.09E-20 29 | 2.47E+12,1.92E-20,2.35E-20,7.72E-21,1.18E-20 30 | 2.56E+12,2.04E-20,2.52E-20,8.15E-21,1.26E-20 31 | 2.65E+12,2.17E-20,2.70E-20,8.58E-21,1.35E-20 32 | 2.73E+12,2.30E-20,2.88E-20,9.02E-21,1.44E-20 33 | 2.82E+12,2.43E-20,3.07E-20,9.46E-21,1.53E-20 34 | 2.91E+12,2.57E-20,3.26E-20,9.90E-21,1.63E-20 35 | 3.00E+12,2.70E-20,3.47E-20,1.03E-20,1.73E-20 36 | 3.09E+12,2.84E-20,3.67E-20,1.08E-20,1.84E-20 37 | 3.17E+12,2.98E-20,3.88E-20,1.12E-20,1.94E-20 38 | 3.26E+12,3.13E-20,4.10E-20,1.17E-20,2.05E-20 39 | 3.35E+12,3.27E-20,4.33E-20,1.21E-20,2.16E-20 40 | 3.44E+12,3.42E-20,4.56E-20,1.25E-20,2.28E-20 41 | 3.53E+12,3.57E-20,4.80E-20,1.30E-20,2.40E-20 42 | 3.62E+12,3.72E-20,5.04E-20,1.34E-20,2.52E-20 43 | 3.70E+12,3.88E-20,5.29E-20,1.38E-20,2.64E-20 44 | 3.79E+12,4.03E-20,5.54E-20,1.42E-20,2.77E-20 45 | 3.88E+12,4.19E-20,5.80E-20,1.47E-20,2.90E-20 46 | 3.97E+12,4.35E-20,6.07E-20,1.51E-20,3.04E-20 47 | 4.06E+12,4.51E-20,6.34E-20,1.55E-20,3.17E-20 48 | 4.14E+12,4.67E-20,6.62E-20,1.59E-20,3.31E-20 49 | 4.23E+12,4.83E-20,6.91E-20,1.63E-20,3.45E-20 50 | 4.32E+12,5.00E-20,7.20E-20,1.67E-20,3.60E-20 51 | 4.41E+12,5.16E-20,7.49E-20,1.71E-20,3.75E-20 52 | 4.50E+12,5.33E-20,7.80E-20,1.75E-20,3.90E-20 53 | 4.59E+12,5.50E-20,8.11E-20,1.78E-20,4.05E-20 54 | 4.67E+12,5.67E-20,8.42E-20,1.82E-20,4.21E-20 55 | 4.76E+12,5.84E-20,8.74E-20,1.86E-20,4.37E-20 56 | 4.85E+12,6.01E-20,9.07E-20,1.89E-20,4.53E-20 57 | 4.94E+12,6.18E-20,9.40E-20,1.93E-20,4.70E-20 58 | 5.03E+12,6.35E-20,9.74E-20,1.96E-20,4.87E-20 59 | 5.11E+12,6.52E-20,1.01E-19,2.00E-20,5.04E-20 60 | 5.20E+12,6.69E-20,1.04E-19,2.03E-20,5.22E-20 61 | 5.29E+12,6.87E-20,1.08E-19,2.06E-20,5.40E-20 62 | 5.38E+12,7.04E-20,1.12E-19,2.09E-20,5.58E-20 63 | 5.47E+12,7.22E-20,1.15E-19,2.12E-20,5.76E-20 64 | 5.56E+12,7.39E-20,1.19E-19,2.15E-20,5.95E-20 65 | 5.64E+12,7.57E-20,1.23E-19,2.18E-20,6.14E-20 66 | 5.73E+12,7.74E-20,1.27E-19,2.21E-20,6.33E-20 67 | 5.82E+12,7.92E-20,1.31E-19,2.24E-20,6.53E-20 68 | 5.91E+12,8.09E-20,1.35E-19,2.27E-20,6.73E-20 69 | 6.00E+12,8.27E-20,1.39E-19,2.29E-20,6.93E-20 70 | 6.08E+12,8.44E-20,1.43E-19,2.32E-20,7.14E-20 71 | 6.17E+12,8.62E-20,1.47E-19,2.34E-20,7.34E-20 72 | 6.26E+12,8.79E-20,1.51E-19,2.36E-20,7.56E-20 73 | 6.35E+12,8.97E-20,1.55E-19,2.39E-20,7.77E-20 74 | 6.44E+12,9.15E-20,1.60E-19,2.41E-20,7.99E-20 75 | 6.53E+12,9.32E-20,1.64E-19,2.43E-20,8.21E-20 76 | 6.61E+12,9.50E-20,1.69E-19,2.45E-20,8.43E-20 77 | 6.70E+12,9.67E-20,1.73E-19,2.47E-20,8.66E-20 78 | 6.79E+12,9.84E-20,1.78E-19,2.48E-20,8.89E-20 79 | 6.88E+12,1.00E-19,1.82E-19,2.50E-20,9.12E-20 80 | 6.97E+12,1.02E-19,1.87E-19,2.52E-20,9.35E-20 81 | 7.05E+12,1.04E-19,1.92E-19,2.53E-20,9.59E-20 82 | 7.14E+12,1.05E-19,1.97E-19,2.55E-20,9.83E-20 83 | 7.23E+12,1.07E-19,2.02E-19,2.56E-20,1.01E-19 84 | 7.32E+12,1.09E-19,2.07E-19,2.58E-20,1.03E-19 85 | 7.41E+12,1.10E-19,2.12E-19,2.59E-20,1.06E-19 86 | 7.50E+12,1.12E-19,2.17E-19,2.60E-20,1.08E-19 87 | 7.58E+12,1.14E-19,2.22E-19,2.61E-20,1.11E-19 88 | 7.67E+12,1.16E-19,2.27E-19,2.62E-20,1.13E-19 89 | 7.76E+12,1.17E-19,2.32E-19,2.63E-20,1.16E-19 90 | 7.85E+12,1.19E-19,2.37E-19,2.64E-20,1.19E-19 91 | 7.94E+12,1.21E-19,2.43E-19,2.65E-20,1.21E-19 92 | 8.02E+12,1.22E-19,2.48E-19,2.65E-20,1.24E-19 93 | 8.11E+12,1.24E-19,2.54E-19,2.66E-20,1.27E-19 94 | 8.20E+12,1.25E-19,2.59E-19,2.66E-20,1.30E-19 95 | 8.29E+12,1.27E-19,2.65E-19,2.67E-20,1.32E-19 96 | 8.38E+12,1.29E-19,2.71E-19,2.67E-20,1.35E-19 97 | 8.47E+12,1.30E-19,2.76E-19,2.68E-20,1.38E-19 98 | 8.55E+12,1.32E-19,2.82E-19,2.68E-20,1.41E-19 99 | 8.64E+12,1.33E-19,2.88E-19,2.68E-20,1.44E-19 100 | 8.73E+12,1.35E-19,2.94E-19,2.68E-20,1.47E-19 101 | 8.82E+12,1.37E-19,3.00E-19,2.68E-20,1.50E-19 102 | 8.91E+12,1.38E-19,3.06E-19,2.68E-20,1.53E-19 103 | 8.99E+12,1.40E-19,3.12E-19,2.68E-20,1.56E-19 104 | 9.08E+12,1.41E-19,3.18E-19,2.68E-20,1.59E-19 105 | 9.17E+12,1.43E-19,3.24E-19,2.68E-20,1.62E-19 106 | 9.26E+12,1.44E-19,3.30E-19,2.67E-20,1.65E-19 107 | 9.35E+12,1.46E-19,3.37E-19,2.67E-20,1.68E-19 108 | 9.44E+12,1.47E-19,3.43E-19,2.67E-20,1.72E-19 109 | 9.52E+12,1.49E-19,3.50E-19,2.66E-20,1.75E-19 110 | 9.61E+12,1.50E-19,3.56E-19,2.66E-20,1.78E-19 111 | 9.70E+12,1.51E-19,3.63E-19,2.65E-20,1.81E-19 112 | 9.79E+12,1.53E-19,3.69E-19,2.64E-20,1.85E-19 113 | 9.88E+12,1.54E-19,3.76E-19,2.64E-20,1.88E-19 114 | 9.96E+12,1.56E-19,3.83E-19,2.63E-20,1.91E-19 115 | 1.01E+13,1.57E-19,3.90E-19,2.62E-20,1.95E-19 116 | 1.01E+13,1.58E-19,3.96E-19,2.61E-20,1.98E-19 117 | 1.02E+13,1.60E-19,4.03E-19,2.60E-20,2.02E-19 118 | 1.03E+13,1.61E-19,4.10E-19,2.60E-20,2.05E-19 119 | 1.04E+13,1.62E-19,4.17E-19,2.59E-20,2.09E-19 120 | 1.05E+13,1.64E-19,4.25E-19,2.58E-20,2.12E-19 121 | 1.06E+13,1.65E-19,4.32E-19,2.57E-20,2.16E-19 122 | 1.07E+13,1.66E-19,4.39E-19,2.55E-20,2.19E-19 123 | 1.08E+13,1.67E-19,4.46E-19,2.54E-20,2.23E-19 124 | 1.08E+13,1.69E-19,4.54E-19,2.53E-20,2.27E-19 125 | 1.09E+13,1.70E-19,4.61E-19,2.52E-20,2.30E-19 126 | 1.10E+13,1.71E-19,4.68E-19,2.51E-20,2.34E-19 127 | 1.11E+13,1.72E-19,4.76E-19,2.49E-20,2.38E-19 128 | 1.12E+13,1.73E-19,4.83E-19,2.48E-20,2.42E-19 129 | 1.13E+13,1.75E-19,4.91E-19,2.47E-20,2.46E-19 130 | 1.14E+13,1.76E-19,4.99E-19,2.45E-20,2.49E-19 131 | 1.15E+13,1.77E-19,5.07E-19,2.44E-20,2.53E-19 132 | 1.16E+13,1.78E-19,5.14E-19,2.42E-20,2.57E-19 133 | 1.16E+13,1.79E-19,5.22E-19,2.41E-20,2.61E-19 134 | 1.17E+13,1.80E-19,5.30E-19,2.39E-20,2.65E-19 135 | 1.18E+13,1.81E-19,5.38E-19,2.38E-20,2.69E-19 136 | 1.19E+13,1.82E-19,5.46E-19,2.36E-20,2.73E-19 137 | 1.20E+13,1.83E-19,5.54E-19,2.35E-20,2.77E-19 138 | 1.21E+13,1.84E-19,5.63E-19,2.33E-20,2.81E-19 139 | 1.22E+13,1.85E-19,5.71E-19,2.32E-20,2.85E-19 140 | 1.23E+13,1.86E-19,5.79E-19,2.30E-20,2.90E-19 141 | 1.23E+13,1.87E-19,5.88E-19,2.28E-20,2.94E-19 142 | 1.24E+13,1.88E-19,5.96E-19,2.27E-20,2.98E-19 143 | 1.25E+13,1.89E-19,6.04E-19,2.25E-20,3.02E-19 144 | 1.26E+13,1.90E-19,6.13E-19,2.23E-20,3.06E-19 145 | 1.27E+13,1.91E-19,6.22E-19,2.21E-20,3.11E-19 146 | 1.28E+13,1.92E-19,6.30E-19,2.20E-20,3.15E-19 147 | 1.29E+13,1.93E-19,6.39E-19,2.18E-20,3.19E-19 148 | 1.30E+13,1.93E-19,6.48E-19,2.16E-20,3.24E-19 149 | 1.31E+13,1.94E-19,6.57E-19,2.14E-20,3.28E-19 150 | 1.31E+13,1.95E-19,6.66E-19,2.13E-20,3.33E-19 151 | 1.32E+13,1.96E-19,6.74E-19,2.11E-20,3.37E-19 152 | 1.33E+13,1.97E-19,6.83E-19,2.09E-20,3.42E-19 153 | 1.34E+13,1.97E-19,6.93E-19,2.07E-20,3.46E-19 154 | 1.35E+13,1.98E-19,7.02E-19,2.05E-20,3.51E-19 155 | 1.36E+13,1.99E-19,7.11E-19,2.03E-20,3.55E-19 156 | 1.37E+13,1.99E-19,7.20E-19,2.02E-20,3.60E-19 157 | 1.38E+13,2.00E-19,7.30E-19,2.00E-20,3.65E-19 158 | 1.38E+13,2.01E-19,7.39E-19,1.98E-20,3.69E-19 159 | 1.39E+13,2.01E-19,7.48E-19,1.96E-20,3.74E-19 160 | 1.40E+13,2.02E-19,7.58E-19,1.94E-20,3.79E-19 161 | 1.41E+13,2.03E-19,7.67E-19,1.92E-20,3.84E-19 162 | 1.42E+13,2.03E-19,7.77E-19,1.90E-20,3.89E-19 163 | 1.43E+13,2.04E-19,7.87E-19,1.89E-20,3.93E-19 164 | 1.44E+13,2.04E-19,7.96E-19,1.87E-20,3.98E-19 165 | 1.45E+13,2.05E-19,8.06E-19,1.85E-20,4.03E-19 166 | 1.46E+13,2.06E-19,8.16E-19,1.83E-20,4.08E-19 167 | 1.46E+13,2.06E-19,8.26E-19,1.81E-20,4.13E-19 168 | 1.47E+13,2.07E-19,8.36E-19,1.79E-20,4.18E-19 169 | 1.48E+13,2.07E-19,8.46E-19,1.77E-20,4.23E-19 170 | 1.49E+13,2.08E-19,8.56E-19,1.75E-20,4.28E-19 171 | 1.50E+13,2.08E-19,8.66E-19,1.73E-20,4.33E-19 172 | 1.51E+13,2.08E-19,8.77E-19,1.72E-20,4.38E-19 173 | 1.52E+13,2.09E-19,8.87E-19,1.70E-20,4.43E-19 174 | 1.53E+13,2.09E-19,8.97E-19,1.68E-20,4.49E-19 175 | 1.53E+13,2.10E-19,9.08E-19,1.66E-20,4.54E-19 176 | 1.54E+13,2.10E-19,9.18E-19,1.64E-20,4.59E-19 177 | 1.55E+13,2.10E-19,9.29E-19,1.62E-20,4.64E-19 178 | 1.56E+13,2.11E-19,9.39E-19,1.60E-20,4.70E-19 179 | 1.57E+13,2.11E-19,9.50E-19,1.59E-20,4.75E-19 180 | 1.58E+13,2.11E-19,9.60E-19,1.57E-20,4.80E-19 181 | 1.59E+13,2.12E-19,9.71E-19,1.55E-20,4.86E-19 182 | 1.60E+13,2.12E-19,9.82E-19,1.53E-20,4.91E-19 183 | 1.60E+13,2.12E-19,9.93E-19,1.51E-20,4.96E-19 184 | 1.61E+13,2.12E-19,1.00E-18,1.50E-20,5.02E-19 185 | 1.62E+13,2.13E-19,1.01E-18,1.48E-20,5.07E-19 186 | 1.63E+13,2.13E-19,1.03E-18,1.46E-20,5.13E-19 187 | 1.64E+13,2.13E-19,1.04E-18,1.44E-20,5.19E-19 188 | 1.65E+13,2.13E-19,1.05E-18,1.43E-20,5.24E-19 189 | 1.66E+13,2.13E-19,1.06E-18,1.41E-20,5.30E-19 190 | 1.67E+13,2.14E-19,1.07E-18,1.39E-20,5.35E-19 191 | 1.68E+13,2.14E-19,1.08E-18,1.37E-20,5.41E-19 192 | 1.68E+13,2.14E-19,1.09E-18,1.36E-20,5.47E-19 193 | 1.69E+13,2.14E-19,1.11E-18,1.34E-20,5.53E-19 194 | 1.70E+13,2.14E-19,1.12E-18,1.32E-20,5.58E-19 195 | 1.71E+13,2.14E-19,1.13E-18,1.30E-20,5.64E-19 196 | 1.72E+13,2.14E-19,1.14E-18,1.29E-20,5.70E-19 197 | 1.73E+13,2.14E-19,1.15E-18,1.27E-20,5.76E-19 198 | 1.74E+13,2.14E-19,1.16E-18,1.26E-20,5.82E-19 199 | 1.75E+13,2.14E-19,1.18E-18,1.24E-20,5.88E-19 200 | 1.75E+13,2.14E-19,1.19E-18,1.22E-20,5.94E-19 201 | 1.76E+13,2.14E-19,1.20E-18,1.21E-20,6.00E-19 202 | 1.77E+13,2.14E-19,1.21E-18,1.19E-20,6.06E-19 203 | 1.78E+13,2.14E-19,1.22E-18,1.17E-20,6.12E-19 204 | 1.79E+13,2.14E-19,1.24E-18,1.16E-20,6.18E-19 205 | 1.80E+13,2.14E-19,1.25E-18,1.14E-20,6.24E-19 206 | 1.81E+13,2.14E-19,1.26E-18,1.13E-20,6.30E-19 207 | 1.82E+13,2.14E-19,1.27E-18,1.11E-20,6.36E-19 208 | 1.83E+13,2.14E-19,1.28E-18,1.10E-20,6.42E-19 209 | 1.83E+13,2.14E-19,1.30E-18,1.08E-20,6.48E-19 210 | 1.84E+13,2.14E-19,1.31E-18,1.07E-20,6.55E-19 211 | 1.85E+13,2.14E-19,1.32E-18,1.05E-20,6.61E-19 212 | 1.86E+13,2.14E-19,1.33E-18,1.04E-20,6.67E-19 213 | 1.87E+13,2.14E-19,1.35E-18,1.02E-20,6.74E-19 214 | 1.88E+13,2.13E-19,1.36E-18,1.01E-20,6.80E-19 215 | 1.89E+13,2.13E-19,1.37E-18,9.95E-21,6.86E-19 216 | 1.90E+13,2.13E-19,1.39E-18,9.81E-21,6.93E-19 217 | 1.90E+13,2.13E-19,1.40E-18,9.67E-21,6.99E-19 218 | 1.91E+13,2.13E-19,1.41E-18,9.53E-21,7.06E-19 219 | 1.92E+13,2.12E-19,1.42E-18,9.39E-21,7.12E-19 220 | 1.93E+13,2.12E-19,1.44E-18,9.26E-21,7.19E-19 221 | 1.94E+13,2.12E-19,1.45E-18,9.12E-21,7.25E-19 222 | 1.95E+13,2.12E-19,1.46E-18,8.99E-21,7.32E-19 223 | 1.96E+13,2.12E-19,1.48E-18,8.86E-21,7.39E-19 224 | 1.97E+13,2.11E-19,1.49E-18,8.73E-21,7.45E-19 225 | 1.98E+13,2.11E-19,1.50E-18,8.60E-21,7.52E-19 226 | 1.98E+13,2.11E-19,1.52E-18,8.47E-21,7.59E-19 227 | 1.99E+13,2.10E-19,1.53E-18,8.35E-21,7.66E-19 228 | 2.00E+13,2.10E-19,1.54E-18,8.22E-21,7.72E-19 229 | 2.01E+13,2.10E-19,1.56E-18,8.10E-21,7.79E-19 230 | 2.02E+13,2.09E-19,1.57E-18,7.98E-21,7.86E-19 231 | 2.03E+13,2.09E-19,1.59E-18,7.86E-21,7.93E-19 232 | 2.04E+13,2.09E-19,1.60E-18,7.74E-21,8.00E-19 233 | 2.05E+13,2.08E-19,1.61E-18,7.62E-21,8.07E-19 234 | 2.05E+13,2.08E-19,1.63E-18,7.51E-21,8.14E-19 235 | 2.06E+13,2.08E-19,1.64E-18,7.39E-21,8.21E-19 236 | 2.07E+13,2.07E-19,1.66E-18,7.28E-21,8.28E-19 237 | 2.08E+13,2.07E-19,1.67E-18,7.17E-21,8.35E-19 238 | 2.09E+13,2.06E-19,1.68E-18,7.06E-21,8.42E-19 239 | 2.10E+13,2.06E-19,1.70E-18,6.95E-21,8.49E-19 240 | 2.11E+13,2.06E-19,1.71E-18,6.84E-21,8.56E-19 241 | 2.12E+13,2.05E-19,1.73E-18,6.73E-21,8.63E-19 242 | 2.13E+13,2.05E-19,1.74E-18,6.63E-21,8.71E-19 243 | 2.13E+13,2.04E-19,1.76E-18,6.52E-21,8.78E-19 244 | 2.14E+13,2.04E-19,1.77E-18,6.42E-21,8.85E-19 245 | 2.15E+13,2.03E-19,1.78E-18,6.32E-21,8.92E-19 246 | 2.16E+13,2.03E-19,1.80E-18,6.22E-21,9.00E-19 247 | 2.17E+13,2.03E-19,1.81E-18,6.12E-21,9.07E-19 248 | 2.18E+13,2.02E-19,1.83E-18,6.02E-21,9.14E-19 249 | 2.19E+13,2.02E-19,1.84E-18,5.93E-21,9.22E-19 250 | 2.20E+13,2.01E-19,1.86E-18,5.83E-21,9.29E-19 251 | 2.20E+13,2.01E-19,1.87E-18,5.74E-21,9.37E-19 252 | 2.21E+13,2.00E-19,1.89E-18,5.64E-21,9.44E-19 253 | 2.22E+13,2.00E-19,1.90E-18,5.55E-21,9.52E-19 254 | 2.23E+13,1.99E-19,1.92E-18,5.46E-21,9.59E-19 255 | 2.24E+13,1.98E-19,1.93E-18,5.37E-21,9.67E-19 256 | 2.25E+13,1.98E-19,1.95E-18,5.29E-21,9.75E-19 257 | 2.26E+13,1.97E-19,1.96E-18,5.20E-21,9.82E-19 258 | 2.27E+13,1.97E-19,1.98E-18,5.12E-21,9.90E-19 259 | 2.28E+13,1.96E-19,2.00E-18,5.03E-21,9.98E-19 260 | 2.28E+13,1.96E-19,2.01E-18,4.95E-21,1.01E-18 261 | 2.29E+13,1.95E-19,2.03E-18,4.87E-21,1.01E-18 262 | 2.30E+13,1.95E-19,2.04E-18,4.79E-21,1.02E-18 263 | 2.31E+13,1.94E-19,2.06E-18,4.71E-21,1.03E-18 264 | 2.32E+13,1.93E-19,2.07E-18,4.63E-21,1.04E-18 265 | 2.33E+13,1.93E-19,2.09E-18,4.55E-21,1.04E-18 266 | 2.34E+13,1.92E-19,2.11E-18,4.47E-21,1.05E-18 267 | 2.35E+13,1.92E-19,2.12E-18,4.40E-21,1.06E-18 268 | 2.35E+13,1.91E-19,2.14E-18,4.33E-21,1.07E-18 269 | 2.36E+13,1.90E-19,2.15E-18,4.25E-21,1.08E-18 270 | 2.37E+13,1.90E-19,2.17E-18,4.18E-21,1.08E-18 271 | 2.38E+13,1.89E-19,2.19E-18,4.11E-21,1.09E-18 272 | 2.39E+13,1.89E-19,2.20E-18,4.04E-21,1.10E-18 273 | 2.40E+13,1.88E-19,2.22E-18,3.97E-21,1.11E-18 274 | 2.41E+13,1.87E-19,2.23E-18,3.90E-21,1.12E-18 275 | 2.42E+13,1.87E-19,2.25E-18,3.84E-21,1.13E-18 276 | 2.43E+13,1.86E-19,2.27E-18,3.77E-21,1.13E-18 277 | 2.43E+13,1.85E-19,2.28E-18,3.71E-21,1.14E-18 278 | 2.44E+13,1.85E-19,2.30E-18,3.64E-21,1.15E-18 279 | 2.45E+13,1.84E-19,2.32E-18,3.58E-21,1.16E-18 280 | 2.46E+13,1.83E-19,2.33E-18,3.52E-21,1.17E-18 281 | 2.47E+13,1.83E-19,2.35E-18,3.46E-21,1.18E-18 282 | 2.48E+13,1.82E-19,2.37E-18,3.40E-21,1.18E-18 283 | 2.49E+13,1.81E-19,2.38E-18,3.34E-21,1.19E-18 284 | 2.50E+13,1.81E-19,2.40E-18,3.28E-21,1.20E-18 285 | 2.50E+13,1.80E-19,2.42E-18,3.22E-21,1.21E-18 286 | 2.51E+13,1.79E-19,2.43E-18,3.17E-21,1.22E-18 287 | 2.52E+13,1.79E-19,2.45E-18,3.11E-21,1.23E-18 288 | 2.53E+13,1.78E-19,2.47E-18,3.06E-21,1.23E-18 289 | 2.54E+13,1.77E-19,2.49E-18,3.00E-21,1.24E-18 290 | 2.55E+13,1.76E-19,2.50E-18,2.95E-21,1.25E-18 291 | 2.56E+13,1.76E-19,2.52E-18,2.90E-21,1.26E-18 292 | 2.57E+13,1.75E-19,2.54E-18,2.85E-21,1.27E-18 293 | 2.57E+13,1.74E-19,2.56E-18,2.80E-21,1.28E-18 294 | 2.58E+13,1.74E-19,2.57E-18,2.75E-21,1.29E-18 295 | 2.59E+13,1.73E-19,2.59E-18,2.70E-21,1.30E-18 296 | 2.60E+13,1.72E-19,2.61E-18,2.65E-21,1.30E-18 297 | 2.61E+13,1.72E-19,2.63E-18,2.60E-21,1.31E-18 298 | 2.62E+13,1.71E-19,2.64E-18,2.55E-21,1.32E-18 299 | 2.63E+13,1.70E-19,2.66E-18,2.51E-21,1.33E-18 300 | 2.64E+13,1.69E-19,2.68E-18,2.46E-21,1.34E-18 301 | 2.65E+13,1.69E-19,2.70E-18,2.42E-21,1.35E-18 302 | 2.65E+13,1.68E-19,2.72E-18,2.38E-21,1.36E-18 303 | 2.66E+13,1.67E-19,2.73E-18,2.33E-21,1.37E-18 304 | 2.67E+13,1.66E-19,2.75E-18,2.29E-21,1.38E-18 305 | 2.68E+13,1.66E-19,2.77E-18,2.25E-21,1.39E-18 306 | 2.69E+13,1.65E-19,2.79E-18,2.21E-21,1.39E-18 307 | 2.70E+13,1.64E-19,2.81E-18,2.17E-21,1.40E-18 308 | 2.71E+13,1.64E-19,2.83E-18,2.13E-21,1.41E-18 309 | 2.72E+13,1.63E-19,2.84E-18,2.09E-21,1.42E-18 310 | 2.72E+13,1.62E-19,2.86E-18,2.05E-21,1.43E-18 311 | 2.73E+13,1.61E-19,2.88E-18,2.01E-21,1.44E-18 312 | 2.74E+13,1.61E-19,2.90E-18,1.98E-21,1.45E-18 313 | 2.75E+13,1.60E-19,2.92E-18,1.94E-21,1.46E-18 314 | 2.76E+13,1.59E-19,2.94E-18,1.90E-21,1.47E-18 315 | 2.77E+13,1.58E-19,2.96E-18,1.87E-21,1.48E-18 316 | 2.78E+13,1.58E-19,2.97E-18,1.83E-21,1.49E-18 317 | 2.79E+13,1.57E-19,2.99E-18,1.80E-21,1.50E-18 318 | 2.80E+13,1.56E-19,3.01E-18,1.77E-21,1.51E-18 319 | 2.80E+13,1.55E-19,3.03E-18,1.73E-21,1.52E-18 320 | 2.81E+13,1.55E-19,3.05E-18,1.70E-21,1.53E-18 321 | 2.82E+13,1.54E-19,3.07E-18,1.67E-21,1.53E-18 322 | 2.83E+13,1.53E-19,3.09E-18,1.64E-21,1.54E-18 323 | 2.84E+13,1.52E-19,3.11E-18,1.61E-21,1.55E-18 324 | 2.85E+13,1.52E-19,3.13E-18,1.58E-21,1.56E-18 325 | 2.86E+13,1.51E-19,3.15E-18,1.55E-21,1.57E-18 326 | 2.87E+13,1.50E-19,3.17E-18,1.52E-21,1.58E-18 327 | 2.87E+13,1.49E-19,3.19E-18,1.49E-21,1.59E-18 328 | 2.88E+13,1.49E-19,3.21E-18,1.46E-21,1.60E-18 329 | 2.89E+13,1.48E-19,3.23E-18,1.44E-21,1.61E-18 330 | 2.90E+13,1.47E-19,3.24E-18,1.41E-21,1.62E-18 331 | 2.91E+13,1.46E-19,3.26E-18,1.38E-21,1.63E-18 332 | 2.92E+13,1.46E-19,3.28E-18,1.36E-21,1.64E-18 333 | 2.93E+13,1.45E-19,3.30E-18,1.33E-21,1.65E-18 334 | 2.94E+13,1.44E-19,3.32E-18,1.30E-21,1.66E-18 335 | 2.95E+13,1.43E-19,3.34E-18,1.28E-21,1.67E-18 336 | 2.95E+13,1.43E-19,3.36E-18,1.26E-21,1.68E-18 337 | 2.96E+13,1.42E-19,3.38E-18,1.23E-21,1.69E-18 338 | 2.97E+13,1.41E-19,3.40E-18,1.21E-21,1.70E-18 339 | 2.98E+13,1.40E-19,3.42E-18,1.18E-21,1.71E-18 340 | 2.99E+13,1.40E-19,3.44E-18,1.16E-21,1.72E-18 341 | 3.00E+13,1.39E-19,3.47E-18,1.14E-21,1.73E-18 342 | 3.01E+13,1.38E-19,3.49E-18,1.12E-21,1.74E-18 343 | 3.02E+13,1.37E-19,3.51E-18,1.10E-21,1.75E-18 344 | 3.02E+13,1.37E-19,3.53E-18,1.08E-21,1.76E-18 345 | 3.03E+13,1.36E-19,3.55E-18,1.05E-21,1.77E-18 346 | 3.04E+13,1.35E-19,3.57E-18,1.03E-21,1.78E-18 347 | 3.05E+13,1.34E-19,3.59E-18,1.01E-21,1.79E-18 348 | 3.06E+13,1.34E-19,3.61E-18,9.94E-22,1.80E-18 349 | 3.07E+13,1.33E-19,3.63E-18,9.75E-22,1.82E-18 350 | 3.08E+13,1.32E-19,3.65E-18,9.56E-22,1.83E-18 351 | 3.09E+13,1.31E-19,3.67E-18,9.38E-22,1.84E-18 352 | 3.10E+13,1.31E-19,3.69E-18,9.19E-22,1.85E-18 353 | 3.10E+13,1.30E-19,3.71E-18,9.01E-22,1.86E-18 354 | 3.11E+13,1.29E-19,3.74E-18,8.84E-22,1.87E-18 355 | 3.12E+13,1.28E-19,3.76E-18,8.67E-22,1.88E-18 356 | 3.13E+13,1.28E-19,3.78E-18,8.50E-22,1.89E-18 357 | 3.14E+13,1.27E-19,3.80E-18,8.33E-22,1.90E-18 358 | 3.15E+13,1.26E-19,3.82E-18,8.17E-22,1.91E-18 359 | 3.16E+13,1.25E-19,3.84E-18,8.01E-22,1.92E-18 360 | 3.17E+13,1.25E-19,3.86E-18,7.85E-22,1.93E-18 361 | 3.17E+13,1.24E-19,3.88E-18,7.70E-22,1.94E-18 362 | 3.18E+13,1.23E-19,3.91E-18,7.54E-22,1.95E-18 363 | 3.19E+13,1.23E-19,3.93E-18,7.40E-22,1.96E-18 364 | 3.20E+13,1.22E-19,3.95E-18,7.25E-22,1.98E-18 365 | 3.21E+13,1.21E-19,3.97E-18,7.11E-22,1.99E-18 366 | 3.22E+13,1.20E-19,3.99E-18,6.97E-22,2.00E-18 367 | 3.23E+13,1.20E-19,4.02E-18,6.83E-22,2.01E-18 368 | 3.24E+13,1.19E-19,4.04E-18,6.69E-22,2.02E-18 369 | 3.25E+13,1.18E-19,4.06E-18,6.56E-22,2.03E-18 370 | 3.25E+13,1.18E-19,4.08E-18,6.43E-22,2.04E-18 371 | 3.26E+13,1.17E-19,4.10E-18,6.30E-22,2.05E-18 372 | 3.27E+13,1.16E-19,4.13E-18,6.18E-22,2.06E-18 373 | 3.28E+13,1.15E-19,4.15E-18,6.05E-22,2.07E-18 374 | 3.29E+13,1.15E-19,4.17E-18,5.93E-22,2.09E-18 375 | 3.30E+13,1.14E-19,4.19E-18,5.81E-22,2.10E-18 376 | 3.31E+13,1.13E-19,4.22E-18,5.70E-22,2.11E-18 377 | 3.32E+13,1.13E-19,4.24E-18,5.58E-22,2.12E-18 378 | 3.32E+13,1.12E-19,4.26E-18,5.47E-22,2.13E-18 379 | 3.33E+13,1.11E-19,4.28E-18,5.36E-22,2.14E-18 380 | 3.34E+13,1.11E-19,4.31E-18,5.25E-22,2.15E-18 381 | 3.35E+13,1.10E-19,4.33E-18,5.15E-22,2.16E-18 382 | 3.36E+13,1.09E-19,4.35E-18,5.05E-22,2.18E-18 383 | 3.37E+13,1.08E-19,4.37E-18,4.94E-22,2.19E-18 384 | 3.38E+13,1.08E-19,4.40E-18,4.84E-22,2.20E-18 385 | 3.39E+13,1.07E-19,4.42E-18,4.75E-22,2.21E-18 386 | 3.40E+13,1.06E-19,4.44E-18,4.65E-22,2.22E-18 387 | 3.40E+13,1.06E-19,4.47E-18,4.56E-22,2.23E-18 388 | 3.41E+13,1.05E-19,4.49E-18,4.46E-22,2.24E-18 389 | 3.42E+13,1.04E-19,4.51E-18,4.37E-22,2.26E-18 390 | 3.43E+13,1.04E-19,4.54E-18,4.29E-22,2.27E-18 391 | 3.44E+13,1.03E-19,4.56E-18,4.20E-22,2.28E-18 392 | 3.45E+13,1.02E-19,4.58E-18,4.11E-22,2.29E-18 393 | 3.46E+13,1.02E-19,4.61E-18,4.03E-22,2.30E-18 394 | 3.47E+13,1.01E-19,4.63E-18,3.95E-22,2.31E-18 395 | 3.47E+13,1.00E-19,4.65E-18,3.87E-22,2.33E-18 396 | 3.48E+13,9.98E-20,4.68E-18,3.79E-22,2.34E-18 397 | 3.49E+13,9.91E-20,4.70E-18,3.71E-22,2.35E-18 398 | 3.50E+13,9.85E-20,4.72E-18,3.64E-22,2.36E-18 399 | 3.51E+13,9.78E-20,4.75E-18,3.56E-22,2.37E-18 400 | 3.52E+13,9.72E-20,4.77E-18,3.49E-22,2.39E-18 401 | 3.53E+13,9.65E-20,4.80E-18,3.42E-22,2.40E-18 402 | 3.54E+13,9.59E-20,4.82E-18,3.35E-22,2.41E-18 403 | 3.54E+13,9.52E-20,4.84E-18,3.28E-22,2.42E-18 404 | 3.55E+13,9.46E-20,4.87E-18,3.21E-22,2.43E-18 405 | 3.56E+13,9.40E-20,4.89E-18,3.14E-22,2.45E-18 406 | 3.57E+13,9.33E-20,4.92E-18,3.08E-22,2.46E-18 407 | 3.58E+13,9.27E-20,4.94E-18,3.02E-22,2.47E-18 408 | 3.59E+13,9.21E-20,4.97E-18,2.95E-22,2.48E-18 409 | 3.60E+13,9.15E-20,4.99E-18,2.89E-22,2.50E-18 410 | 3.61E+13,9.08E-20,5.01E-18,2.83E-22,2.51E-18 411 | 3.62E+13,9.02E-20,5.04E-18,2.78E-22,2.52E-18 412 | 3.62E+13,8.96E-20,5.06E-18,2.72E-22,2.53E-18 413 | 3.63E+13,8.90E-20,5.09E-18,2.66E-22,2.54E-18 414 | 3.64E+13,8.84E-20,5.11E-18,2.61E-22,2.56E-18 415 | 3.65E+13,8.78E-20,5.14E-18,2.55E-22,2.57E-18 416 | 3.66E+13,8.72E-20,5.16E-18,2.50E-22,2.58E-18 417 | 3.67E+13,8.66E-20,5.19E-18,2.45E-22,2.59E-18 418 | 3.68E+13,8.60E-20,5.21E-18,2.40E-22,2.61E-18 419 | 3.69E+13,8.54E-20,5.24E-18,2.35E-22,2.62E-18 420 | 3.69E+13,8.48E-20,5.26E-18,2.30E-22,2.63E-18 421 | 3.70E+13,8.42E-20,5.29E-18,2.25E-22,2.64E-18 422 | 3.71E+13,8.36E-20,5.31E-18,2.20E-22,2.66E-18 423 | 3.72E+13,8.30E-20,5.34E-18,2.16E-22,2.67E-18 424 | 3.73E+13,8.24E-20,5.36E-18,2.11E-22,2.68E-18 425 | 3.74E+13,8.19E-20,5.39E-18,2.07E-22,2.69E-18 426 | 3.75E+13,8.13E-20,5.41E-18,2.03E-22,2.71E-18 427 | 3.76E+13,8.07E-20,5.44E-18,1.98E-22,2.72E-18 428 | 3.77E+13,8.01E-20,5.47E-18,1.94E-22,2.73E-18 429 | 3.77E+13,7.96E-20,5.49E-18,1.90E-22,2.75E-18 430 | 3.78E+13,7.90E-20,5.52E-18,1.86E-22,2.76E-18 431 | 3.79E+13,7.84E-20,5.54E-18,1.82E-22,2.77E-18 432 | 3.80E+13,7.79E-20,5.57E-18,1.78E-22,2.78E-18 433 | 3.81E+13,7.73E-20,5.59E-18,1.75E-22,2.80E-18 434 | 3.82E+13,7.68E-20,5.62E-18,1.71E-22,2.81E-18 435 | 3.83E+13,7.62E-20,5.65E-18,1.67E-22,2.82E-18 436 | 3.84E+13,7.57E-20,5.67E-18,1.64E-22,2.84E-18 437 | 3.84E+13,7.51E-20,5.70E-18,1.60E-22,2.85E-18 438 | 3.85E+13,7.46E-20,5.72E-18,1.57E-22,2.86E-18 439 | 3.86E+13,7.40E-20,5.75E-18,1.54E-22,2.88E-18 440 | 3.87E+13,7.35E-20,5.78E-18,1.50E-22,2.89E-18 441 | 3.88E+13,7.30E-20,5.80E-18,1.47E-22,2.90E-18 442 | 3.89E+13,7.24E-20,5.83E-18,1.44E-22,2.91E-18 443 | 3.90E+13,7.19E-20,5.86E-18,1.41E-22,2.93E-18 444 | 3.91E+13,7.14E-20,5.88E-18,1.38E-22,2.94E-18 445 | 3.92E+13,7.09E-20,5.91E-18,1.35E-22,2.95E-18 446 | 3.92E+13,7.03E-20,5.94E-18,1.32E-22,2.97E-18 447 | 3.93E+13,6.98E-20,5.96E-18,1.29E-22,2.98E-18 448 | 3.94E+13,6.93E-20,5.99E-18,1.27E-22,2.99E-18 449 | 3.95E+13,6.88E-20,6.02E-18,1.24E-22,3.01E-18 450 | 3.96E+13,6.83E-20,6.04E-18,1.21E-22,3.02E-18 451 | 3.97E+13,6.78E-20,6.07E-18,1.19E-22,3.04E-18 452 | 3.98E+13,6.73E-20,6.10E-18,1.16E-22,3.05E-18 453 | 3.99E+13,6.68E-20,6.12E-18,1.14E-22,3.06E-18 454 | 3.99E+13,6.63E-20,6.15E-18,1.11E-22,3.08E-18 455 | 4.00E+13,6.58E-20,6.18E-18,1.09E-22,3.09E-18 456 | 4.01E+13,6.53E-20,6.21E-18,1.07E-22,3.10E-18 457 | 4.02E+13,6.48E-20,6.23E-18,1.04E-22,3.12E-18 458 | 4.03E+13,6.43E-20,6.26E-18,1.02E-22,3.13E-18 459 | 4.04E+13,6.38E-20,6.29E-18,9.99E-23,3.14E-18 460 | 4.05E+13,6.33E-20,6.32E-18,9.78E-23,3.16E-18 461 | 4.06E+13,6.29E-20,6.34E-18,9.57E-23,3.17E-18 462 | 4.07E+13,6.24E-20,6.37E-18,9.36E-23,3.19E-18 463 | 4.07E+13,6.19E-20,6.40E-18,9.16E-23,3.20E-18 464 | 4.08E+13,6.14E-20,6.43E-18,8.97E-23,3.21E-18 465 | 4.09E+13,6.10E-20,6.45E-18,8.77E-23,3.23E-18 466 | 4.10E+13,6.05E-20,6.48E-18,8.59E-23,3.24E-18 467 | 4.11E+13,6.00E-20,6.51E-18,8.40E-23,3.25E-18 468 | 4.12E+13,5.96E-20,6.54E-18,8.22E-23,3.27E-18 469 | 4.13E+13,5.91E-20,6.57E-18,8.04E-23,3.28E-18 470 | 4.14E+13,5.87E-20,6.59E-18,7.87E-23,3.30E-18 471 | 4.14E+13,5.82E-20,6.62E-18,7.70E-23,3.31E-18 472 | 4.15E+13,5.78E-20,6.65E-18,7.53E-23,3.33E-18 473 | 4.16E+13,5.73E-20,6.68E-18,7.37E-23,3.34E-18 474 | 4.17E+13,5.69E-20,6.71E-18,7.21E-23,3.35E-18 475 | 4.18E+13,5.64E-20,6.74E-18,7.05E-23,3.37E-18 476 | 4.19E+13,5.60E-20,6.76E-18,6.90E-23,3.38E-18 477 | 4.20E+13,5.56E-20,6.79E-18,6.75E-23,3.40E-18 478 | 4.21E+13,5.51E-20,6.82E-18,6.61E-23,3.41E-18 479 | 4.22E+13,5.47E-20,6.85E-18,6.46E-23,3.42E-18 480 | 4.22E+13,5.43E-20,6.88E-18,6.32E-23,3.44E-18 481 | 4.23E+13,5.39E-20,6.91E-18,6.19E-23,3.45E-18 482 | 4.24E+13,5.34E-20,6.94E-18,6.05E-23,3.47E-18 483 | 4.25E+13,5.30E-20,6.96E-18,5.92E-23,3.48E-18 484 | 4.26E+13,5.26E-20,6.99E-18,5.79E-23,3.50E-18 485 | 4.27E+13,5.22E-20,7.02E-18,5.67E-23,3.51E-18 486 | 4.28E+13,5.18E-20,7.05E-18,5.54E-23,3.53E-18 487 | 4.29E+13,5.14E-20,7.08E-18,5.42E-23,3.54E-18 488 | 4.29E+13,5.10E-20,7.11E-18,5.30E-23,3.55E-18 489 | 4.30E+13,5.05E-20,7.14E-18,5.19E-23,3.57E-18 490 | 4.31E+13,5.01E-20,7.17E-18,5.07E-23,3.58E-18 491 | 4.32E+13,4.97E-20,7.20E-18,4.96E-23,3.60E-18 492 | 4.33E+13,4.94E-20,7.23E-18,4.86E-23,3.61E-18 493 | 4.34E+13,4.90E-20,7.26E-18,4.75E-23,3.63E-18 494 | 4.35E+13,4.86E-20,7.29E-18,4.65E-23,3.64E-18 495 | 4.36E+13,4.82E-20,7.32E-18,4.54E-23,3.66E-18 496 | 4.37E+13,4.78E-20,7.35E-18,4.44E-23,3.67E-18 497 | 4.37E+13,4.74E-20,7.37E-18,4.35E-23,3.69E-18 498 | 4.38E+13,4.70E-20,7.40E-18,4.25E-23,3.70E-18 499 | 4.39E+13,4.66E-20,7.43E-18,4.16E-23,3.72E-18 500 | 4.40E+13,4.63E-20,7.46E-18,4.07E-23,3.73E-18 501 | 4.41E+13,4.59E-20,7.49E-18,3.98E-23,3.75E-18 502 | 4.42E+13,4.55E-20,7.52E-18,3.89E-23,3.76E-18 503 | 4.43E+13,4.52E-20,7.55E-18,3.80E-23,3.78E-18 504 | 4.44E+13,4.48E-20,7.58E-18,3.72E-23,3.79E-18 505 | 4.44E+13,4.44E-20,7.61E-18,3.64E-23,3.81E-18 506 | 4.45E+13,4.41E-20,7.64E-18,3.56E-23,3.82E-18 507 | 4.46E+13,4.37E-20,7.68E-18,3.48E-23,3.84E-18 508 | 4.47E+13,4.34E-20,7.71E-18,3.40E-23,3.85E-18 509 | 4.48E+13,4.30E-20,7.74E-18,3.33E-23,3.87E-18 510 | 4.49E+13,4.26E-20,7.77E-18,3.26E-23,3.88E-18 511 | 4.50E+13,4.23E-20,7.80E-18,3.18E-23,3.90E-18 512 | 4.51E+13,4.20E-20,7.83E-18,3.11E-23,3.91E-18 513 | 4.51E+13,4.16E-20,7.86E-18,3.04E-23,3.93E-18 514 | 4.52E+13,4.13E-20,7.89E-18,2.98E-23,3.94E-18 515 | 4.53E+13,4.09E-20,7.92E-18,2.91E-23,3.96E-18 516 | 4.54E+13,4.06E-20,7.95E-18,2.85E-23,3.98E-18 517 | 4.55E+13,4.03E-20,7.98E-18,2.78E-23,3.99E-18 518 | 4.56E+13,3.99E-20,8.01E-18,2.72E-23,4.01E-18 519 | 4.57E+13,3.96E-20,8.04E-18,2.66E-23,4.02E-18 520 | 4.58E+13,3.93E-20,8.07E-18,2.60E-23,4.04E-18 521 | 4.59E+13,3.89E-20,8.11E-18,2.55E-23,4.05E-18 522 | 4.59E+13,3.86E-20,8.14E-18,2.49E-23,4.07E-18 523 | 4.60E+13,3.83E-20,8.17E-18,2.43E-23,4.08E-18 524 | 4.61E+13,3.80E-20,8.20E-18,2.38E-23,4.10E-18 525 | 4.62E+13,3.77E-20,8.23E-18,2.33E-23,4.12E-18 526 | 4.63E+13,3.73E-20,8.26E-18,2.28E-23,4.13E-18 527 | 4.64E+13,3.70E-20,8.29E-18,2.22E-23,4.15E-18 528 | 4.65E+13,3.67E-20,8.33E-18,2.18E-23,4.16E-18 529 | 4.66E+13,3.64E-20,8.36E-18,2.13E-23,4.18E-18 530 | 4.66E+13,3.61E-20,8.39E-18,2.08E-23,4.19E-18 531 | 4.67E+13,3.58E-20,8.42E-18,2.03E-23,4.21E-18 532 | 4.68E+13,3.55E-20,8.45E-18,1.99E-23,4.23E-18 533 | 4.69E+13,3.52E-20,8.48E-18,1.94E-23,4.24E-18 534 | 4.70E+13,3.49E-20,8.52E-18,1.90E-23,4.26E-18 535 | 4.71E+13,3.46E-20,8.55E-18,1.86E-23,4.27E-18 536 | 4.72E+13,3.43E-20,8.58E-18,1.82E-23,4.29E-18 537 | 4.73E+13,3.40E-20,8.61E-18,1.78E-23,4.31E-18 538 | 4.74E+13,3.37E-20,8.64E-18,1.74E-23,4.32E-18 539 | 4.74E+13,3.34E-20,8.68E-18,1.70E-23,4.34E-18 540 | 4.75E+13,3.32E-20,8.71E-18,1.66E-23,4.35E-18 541 | 4.76E+13,3.29E-20,8.74E-18,1.62E-23,4.37E-18 542 | 4.77E+13,3.26E-20,8.77E-18,1.59E-23,4.39E-18 543 | 4.78E+13,3.23E-20,8.81E-18,1.55E-23,4.40E-18 544 | 4.79E+13,3.20E-20,8.84E-18,1.52E-23,4.42E-18 545 | 4.80E+13,3.18E-20,8.87E-18,1.48E-23,4.44E-18 546 | 4.81E+13,3.15E-20,8.90E-18,1.45E-23,4.45E-18 547 | 4.81E+13,3.12E-20,8.94E-18,1.42E-23,4.47E-18 548 | 4.82E+13,3.10E-20,8.97E-18,1.38E-23,4.48E-18 549 | 4.83E+13,3.07E-20,9.00E-18,1.35E-23,4.50E-18 550 | 4.84E+13,3.04E-20,9.04E-18,1.32E-23,4.52E-18 551 | 4.85E+13,3.02E-20,9.07E-18,1.29E-23,4.53E-18 552 | 4.86E+13,2.99E-20,9.10E-18,1.26E-23,4.55E-18 553 | 4.87E+13,2.97E-20,9.13E-18,1.24E-23,4.57E-18 554 | 4.88E+13,2.94E-20,9.17E-18,1.21E-23,4.58E-18 555 | 4.89E+13,2.91E-20,9.20E-18,1.18E-23,4.60E-18 556 | 4.89E+13,2.89E-20,9.23E-18,1.15E-23,4.62E-18 557 | 4.90E+13,2.86E-20,9.27E-18,1.13E-23,4.63E-18 558 | 4.91E+13,2.84E-20,9.30E-18,1.10E-23,4.65E-18 559 | 4.92E+13,2.81E-20,9.33E-18,1.08E-23,4.67E-18 560 | 4.93E+13,2.79E-20,9.37E-18,1.05E-23,4.68E-18 561 | 4.94E+13,2.77E-20,9.40E-18,1.03E-23,4.70E-18 562 | 4.95E+13,2.74E-20,9.43E-18,1.01E-23,4.72E-18 563 | 4.96E+13,2.72E-20,9.47E-18,9.83E-24,4.73E-18 564 | 4.96E+13,2.69E-20,9.50E-18,9.61E-24,4.75E-18 565 | 4.97E+13,2.67E-20,9.54E-18,9.39E-24,4.77E-18 566 | 4.98E+13,2.65E-20,9.57E-18,9.18E-24,4.78E-18 567 | 4.99E+13,2.62E-20,9.60E-18,8.97E-24,4.80E-18 568 | 5.00E+13,2.60E-20,9.64E-18,8.77E-24,4.82E-18 569 | 5.01E+13,2.58E-20,9.67E-18,8.57E-24,4.84E-18 570 | 5.02E+13,2.56E-20,9.71E-18,8.38E-24,4.85E-18 571 | 5.03E+13,2.53E-20,9.74E-18,8.19E-24,4.87E-18 572 | 5.04E+13,2.51E-20,9.77E-18,8.00E-24,4.89E-18 573 | 5.04E+13,2.49E-20,9.81E-18,7.82E-24,4.90E-18 574 | 5.05E+13,2.47E-20,9.84E-18,7.64E-24,4.92E-18 575 | 5.06E+13,2.44E-20,9.88E-18,7.47E-24,4.94E-18 576 | 5.07E+13,2.42E-20,9.91E-18,7.30E-24,4.96E-18 577 | 5.08E+13,2.40E-20,9.95E-18,7.13E-24,4.97E-18 578 | 5.09E+13,2.38E-20,9.98E-18,6.97E-24,4.99E-18 579 | 5.10E+13,2.36E-20,1.00E-17,6.81E-24,5.01E-18 580 | 5.11E+13,2.34E-20,1.00E-17,6.66E-24,5.02E-18 581 | 5.11E+13,2.32E-20,1.01E-17,6.51E-24,5.04E-18 582 | 5.12E+13,2.30E-20,1.01E-17,6.36E-24,5.06E-18 583 | 5.13E+13,2.28E-20,1.02E-17,6.21E-24,5.08E-18 584 | 5.14E+13,2.26E-20,1.02E-17,6.07E-24,5.09E-18 585 | 5.15E+13,2.24E-20,1.02E-17,5.93E-24,5.11E-18 586 | 5.16E+13,2.22E-20,1.03E-17,5.80E-24,5.13E-18 587 | 5.17E+13,2.20E-20,1.03E-17,5.66E-24,5.15E-18 588 | 5.18E+13,2.18E-20,1.03E-17,5.54E-24,5.16E-18 589 | 5.19E+13,2.16E-20,1.04E-17,5.41E-24,5.18E-18 590 | 5.19E+13,2.14E-20,1.04E-17,5.29E-24,5.20E-18 591 | 5.20E+13,2.12E-20,1.04E-17,5.16E-24,5.22E-18 592 | 5.21E+13,2.10E-20,1.05E-17,5.05E-24,5.24E-18 593 | 5.22E+13,2.08E-20,1.05E-17,4.93E-24,5.25E-18 594 | 5.23E+13,2.06E-20,1.05E-17,4.82E-24,5.27E-18 595 | 5.24E+13,2.04E-20,1.06E-17,4.71E-24,5.29E-18 596 | 5.25E+13,2.02E-20,1.06E-17,4.60E-24,5.31E-18 597 | 5.26E+13,2.01E-20,1.06E-17,4.50E-24,5.32E-18 598 | 5.26E+13,1.99E-20,1.07E-17,4.39E-24,5.34E-18 599 | 5.27E+13,1.97E-20,1.07E-17,4.29E-24,5.36E-18 600 | 5.28E+13,1.95E-20,1.08E-17,4.19E-24,5.38E-18 601 | 5.29E+13,1.94E-20,1.08E-17,4.10E-24,5.40E-18 602 | 5.30E+13,1.92E-20,1.08E-17,4.00E-24,5.41E-18 603 | 5.31E+13,1.90E-20,1.09E-17,3.91E-24,5.43E-18 604 | 5.32E+13,1.88E-20,1.09E-17,3.82E-24,5.45E-18 605 | 5.33E+13,1.87E-20,1.09E-17,3.73E-24,5.47E-18 606 | 5.34E+13,1.85E-20,1.10E-17,3.65E-24,5.49E-18 607 | 5.34E+13,1.83E-20,1.10E-17,3.56E-24,5.50E-18 608 | 5.35E+13,1.82E-20,1.10E-17,3.48E-24,5.52E-18 609 | 5.36E+13,1.80E-20,1.11E-17,3.40E-24,5.54E-18 610 | 5.37E+13,1.78E-20,1.11E-17,3.32E-24,5.56E-18 611 | 5.38E+13,1.77E-20,1.12E-17,3.25E-24,5.58E-18 612 | 5.39E+13,1.75E-20,1.12E-17,3.17E-24,5.60E-18 613 | 5.40E+13,1.73E-20,1.12E-17,3.10E-24,5.61E-18 614 | 5.41E+13,1.72E-20,1.13E-17,3.03E-24,5.63E-18 615 | 5.41E+13,1.70E-20,1.13E-17,2.96E-24,5.65E-18 616 | 5.42E+13,1.69E-20,1.13E-17,2.89E-24,5.67E-18 617 | 5.43E+13,1.67E-20,1.14E-17,2.82E-24,5.69E-18 618 | 5.44E+13,1.66E-20,1.14E-17,2.76E-24,5.71E-18 619 | 5.45E+13,1.64E-20,1.14E-17,2.69E-24,5.72E-18 620 | 5.46E+13,1.63E-20,1.15E-17,2.63E-24,5.74E-18 621 | 5.47E+13,1.61E-20,1.15E-17,2.57E-24,5.76E-18 622 | 5.48E+13,1.60E-20,1.16E-17,2.51E-24,5.78E-18 623 | 5.48E+13,1.58E-20,1.16E-17,2.45E-24,5.80E-18 624 | 5.49E+13,1.57E-20,1.16E-17,2.40E-24,5.82E-18 625 | 5.50E+13,1.55E-20,1.17E-17,2.34E-24,5.84E-18 626 | 5.51E+13,1.54E-20,1.17E-17,2.29E-24,5.85E-18 627 | 5.52E+13,1.52E-20,1.17E-17,2.24E-24,5.87E-18 628 | 5.53E+13,1.51E-20,1.18E-17,2.18E-24,5.89E-18 629 | 5.54E+13,1.49E-20,1.18E-17,2.13E-24,5.91E-18 630 | 5.55E+13,1.48E-20,1.19E-17,2.08E-24,5.93E-18 631 | 5.56E+13,1.47E-20,1.19E-17,2.04E-24,5.95E-18 632 | 5.56E+13,1.45E-20,1.19E-17,1.99E-24,5.97E-18 633 | 5.57E+13,1.44E-20,1.20E-17,1.94E-24,5.99E-18 634 | 5.58E+13,1.43E-20,1.20E-17,1.90E-24,6.01E-18 635 | 5.59E+13,1.41E-20,1.20E-17,1.85E-24,6.02E-18 636 | 5.60E+13,1.40E-20,1.21E-17,1.81E-24,6.04E-18 637 | 5.61E+13,1.39E-20,1.21E-17,1.77E-24,6.06E-18 638 | 5.62E+13,1.37E-20,1.22E-17,1.73E-24,6.08E-18 639 | 5.63E+13,1.36E-20,1.22E-17,1.69E-24,6.10E-18 640 | 5.63E+13,1.35E-20,1.22E-17,1.65E-24,6.12E-18 641 | 5.64E+13,1.34E-20,1.23E-17,1.61E-24,6.14E-18 642 | 5.65E+13,1.32E-20,1.23E-17,1.57E-24,6.16E-18 643 | 5.66E+13,1.31E-20,1.24E-17,1.54E-24,6.18E-18 644 | 5.67E+13,1.30E-20,1.24E-17,1.50E-24,6.20E-18 645 | 5.68E+13,1.29E-20,1.24E-17,1.46E-24,6.22E-18 646 | 5.69E+13,1.27E-20,1.25E-17,1.43E-24,6.24E-18 647 | 5.70E+13,1.26E-20,1.25E-17,1.40E-24,6.25E-18 648 | 5.71E+13,1.25E-20,1.25E-17,1.36E-24,6.27E-18 649 | 5.71E+13,1.24E-20,1.26E-17,1.33E-24,6.29E-18 650 | 5.72E+13,1.23E-20,1.26E-17,1.30E-24,6.31E-18 651 | 5.73E+13,1.22E-20,1.27E-17,1.27E-24,6.33E-18 652 | 5.74E+13,1.20E-20,1.27E-17,1.24E-24,6.35E-18 653 | 5.75E+13,1.19E-20,1.27E-17,1.21E-24,6.37E-18 654 | 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6.09E+13,8.19E-21,1.43E-17,4.81E-25,7.16E-18 693 | 6.10E+13,8.11E-21,1.44E-17,4.69E-25,7.18E-18 694 | 6.11E+13,8.03E-21,1.44E-17,4.58E-25,7.20E-18 695 | 6.12E+13,7.96E-21,1.44E-17,4.48E-25,7.22E-18 696 | 6.13E+13,7.88E-21,1.45E-17,4.37E-25,7.24E-18 697 | 6.14E+13,7.80E-21,1.45E-17,4.27E-25,7.26E-18 698 | 6.15E+13,7.72E-21,1.46E-17,4.17E-25,7.28E-18 699 | 6.16E+13,7.65E-21,1.46E-17,4.07E-25,7.30E-18 700 | 6.16E+13,7.57E-21,1.46E-17,3.97E-25,7.32E-18 701 | 6.17E+13,7.50E-21,1.47E-17,3.88E-25,7.34E-18 702 | 6.18E+13,7.43E-21,1.47E-17,3.79E-25,7.37E-18 703 | 6.19E+13,7.36E-21,1.48E-17,3.70E-25,7.39E-18 704 | 6.20E+13,7.28E-21,1.48E-17,3.61E-25,7.41E-18 705 | 6.21E+13,7.21E-21,1.49E-17,3.52E-25,7.43E-18 706 | 6.22E+13,7.14E-21,1.49E-17,3.44E-25,7.45E-18 707 | 6.23E+13,7.07E-21,1.49E-17,3.36E-25,7.47E-18 708 | 6.23E+13,7.00E-21,1.50E-17,3.28E-25,7.49E-18 709 | 6.24E+13,6.93E-21,1.50E-17,3.20E-25,7.51E-18 710 | 6.25E+13,6.87E-21,1.51E-17,3.13E-25,7.53E-18 711 | 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6.43E+13,5.63E-21,1.59E-17,1.93E-25,7.97E-18 731 | 6.44E+13,5.57E-21,1.60E-17,1.89E-25,7.99E-18 732 | 6.45E+13,5.52E-21,1.60E-17,1.84E-25,8.01E-18 733 | 6.45E+13,5.46E-21,1.61E-17,1.80E-25,8.03E-18 734 | 6.46E+13,5.41E-21,1.61E-17,1.76E-25,8.05E-18 735 | 6.47E+13,5.35E-21,1.62E-17,1.71E-25,8.08E-18 736 | 6.48E+13,5.30E-21,1.62E-17,1.67E-25,8.10E-18 737 | 6.49E+13,5.25E-21,1.62E-17,1.63E-25,8.12E-18 738 | 6.50E+13,5.20E-21,1.63E-17,1.59E-25,8.14E-18 739 | 6.51E+13,5.14E-21,1.63E-17,1.56E-25,8.16E-18 740 | 6.52E+13,5.09E-21,1.64E-17,1.52E-25,8.19E-18 741 | 6.53E+13,5.04E-21,1.64E-17,1.48E-25,8.21E-18 742 | 6.53E+13,4.99E-21,1.65E-17,1.45E-25,8.23E-18 743 | 6.54E+13,4.94E-21,1.65E-17,1.41E-25,8.25E-18 744 | 6.55E+13,4.89E-21,1.65E-17,1.38E-25,8.27E-18 745 | 6.56E+13,4.84E-21,1.66E-17,1.35E-25,8.30E-18 746 | 6.57E+13,4.79E-21,1.66E-17,1.31E-25,8.32E-18 747 | 6.58E+13,4.75E-21,1.67E-17,1.28E-25,8.34E-18 748 | 6.59E+13,4.70E-21,1.67E-17,1.25E-25,8.36E-18 749 | 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6.76E+13,3.84E-21,1.76E-17,7.71E-26,8.82E-18 769 | 6.77E+13,3.80E-21,1.77E-17,7.53E-26,8.84E-18 770 | 6.78E+13,3.76E-21,1.77E-17,7.35E-26,8.86E-18 771 | 6.79E+13,3.72E-21,1.78E-17,7.17E-26,8.89E-18 772 | 6.80E+13,3.68E-21,1.78E-17,7.00E-26,8.91E-18 773 | -------------------------------------------------------------------------------- /Data/bbr.xls: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sraeisi/MachineLearning_Physics/255f1bf31f974d64a76828715543d6e5b0395ee5/Data/bbr.xls -------------------------------------------------------------------------------- /Data/monthly-sunspots.csv: -------------------------------------------------------------------------------- 1 | "Month","Sunspots" 2 | "1749-01",58.0 3 | "1749-02",62.6 4 | "1749-03",70.0 5 | "1749-04",55.7 6 | "1749-05",85.0 7 | "1749-06",83.5 8 | "1749-07",94.8 9 | "1749-08",66.3 10 | "1749-09",75.9 11 | "1749-10",75.5 12 | "1749-11",158.6 13 | "1749-12",85.2 14 | "1750-01",73.3 15 | "1750-02",75.9 16 | "1750-03",89.2 17 | "1750-04",88.3 18 | "1750-05",90.0 19 | "1750-06",100.0 20 | "1750-07",85.4 21 | "1750-08",103.0 22 | "1750-09",91.2 23 | "1750-10",65.7 24 | "1750-11",63.3 25 | "1750-12",75.4 26 | "1751-01",70.0 27 | "1751-02",43.5 28 | "1751-03",45.3 29 | "1751-04",56.4 30 | "1751-05",60.7 31 | "1751-06",50.7 32 | "1751-07",66.3 33 | "1751-08",59.8 34 | "1751-09",23.5 35 | "1751-10",23.2 36 | "1751-11",28.5 37 | "1751-12",44.0 38 | "1752-01",35.0 39 | "1752-02",50.0 40 | "1752-03",71.0 41 | "1752-04",59.3 42 | "1752-05",59.7 43 | "1752-06",39.6 44 | "1752-07",78.4 45 | "1752-08",29.3 46 | "1752-09",27.1 47 | "1752-10",46.6 48 | "1752-11",37.6 49 | "1752-12",40.0 50 | "1753-01",44.0 51 | "1753-02",32.0 52 | "1753-03",45.7 53 | "1753-04",38.0 54 | "1753-05",36.0 55 | "1753-06",31.7 56 | "1753-07",22.2 57 | "1753-08",39.0 58 | "1753-09",28.0 59 | "1753-10",25.0 60 | "1753-11",20.0 61 | "1753-12",6.7 62 | "1754-01",0.0 63 | "1754-02",3.0 64 | 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| "1848-08",132.5 1198 | "1848-09",100.3 1199 | "1848-10",132.4 1200 | "1848-11",114.6 1201 | "1848-12",159.9 1202 | "1849-01",156.7 1203 | "1849-02",131.7 1204 | "1849-03",96.5 1205 | "1849-04",102.5 1206 | "1849-05",80.6 1207 | "1849-06",81.2 1208 | "1849-07",78.0 1209 | "1849-08",61.3 1210 | "1849-09",93.7 1211 | "1849-10",71.5 1212 | "1849-11",99.7 1213 | "1849-12",97.0 1214 | "1850-01",78.0 1215 | "1850-02",89.4 1216 | "1850-03",82.6 1217 | "1850-04",44.1 1218 | "1850-05",61.6 1219 | "1850-06",70.0 1220 | "1850-07",39.1 1221 | "1850-08",61.6 1222 | "1850-09",86.2 1223 | "1850-10",71.0 1224 | "1850-11",54.8 1225 | "1850-12",60.0 1226 | "1851-01",75.5 1227 | "1851-02",105.4 1228 | "1851-03",64.6 1229 | "1851-04",56.5 1230 | "1851-05",62.6 1231 | "1851-06",63.2 1232 | "1851-07",36.1 1233 | "1851-08",57.4 1234 | "1851-09",67.9 1235 | "1851-10",62.5 1236 | "1851-11",50.9 1237 | "1851-12",71.4 1238 | "1852-01",68.4 1239 | "1852-02",67.5 1240 | "1852-03",61.2 1241 | "1852-04",65.4 1242 | 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1972 | "1913-03",0.5 1973 | "1913-04",0.9 1974 | "1913-05",0.0 1975 | "1913-06",0.0 1976 | "1913-07",1.7 1977 | "1913-08",0.2 1978 | "1913-09",1.2 1979 | "1913-10",3.1 1980 | "1913-11",0.7 1981 | "1913-12",3.8 1982 | "1914-01",2.8 1983 | "1914-02",2.6 1984 | "1914-03",3.1 1985 | "1914-04",17.3 1986 | "1914-05",5.2 1987 | "1914-06",11.4 1988 | "1914-07",5.4 1989 | "1914-08",7.7 1990 | "1914-09",12.7 1991 | "1914-10",8.2 1992 | "1914-11",16.4 1993 | "1914-12",22.3 1994 | "1915-01",23.0 1995 | "1915-02",42.3 1996 | "1915-03",38.8 1997 | "1915-04",41.3 1998 | "1915-05",33.0 1999 | "1915-06",68.8 2000 | "1915-07",71.6 2001 | "1915-08",69.6 2002 | "1915-09",49.5 2003 | "1915-10",53.5 2004 | "1915-11",42.5 2005 | "1915-12",34.5 2006 | "1916-01",45.3 2007 | "1916-02",55.4 2008 | "1916-03",67.0 2009 | "1916-04",71.8 2010 | "1916-05",74.5 2011 | "1916-06",67.7 2012 | "1916-07",53.5 2013 | "1916-08",35.2 2014 | "1916-09",45.1 2015 | "1916-10",50.7 2016 | "1916-11",65.6 2017 | "1916-12",53.0 2018 | "1917-01",74.7 2019 | "1917-02",71.9 2020 | "1917-03",94.8 2021 | "1917-04",74.7 2022 | "1917-05",114.1 2023 | "1917-06",114.9 2024 | "1917-07",119.8 2025 | "1917-08",154.5 2026 | "1917-09",129.4 2027 | "1917-10",72.2 2028 | "1917-11",96.4 2029 | "1917-12",129.3 2030 | "1918-01",96.0 2031 | "1918-02",65.3 2032 | "1918-03",72.2 2033 | "1918-04",80.5 2034 | "1918-05",76.7 2035 | "1918-06",59.4 2036 | "1918-07",107.6 2037 | "1918-08",101.7 2038 | "1918-09",79.9 2039 | "1918-10",85.0 2040 | "1918-11",83.4 2041 | "1918-12",59.2 2042 | "1919-01",48.1 2043 | "1919-02",79.5 2044 | "1919-03",66.5 2045 | "1919-04",51.8 2046 | "1919-05",88.1 2047 | "1919-06",111.2 2048 | "1919-07",64.7 2049 | "1919-08",69.0 2050 | "1919-09",54.7 2051 | "1919-10",52.8 2052 | "1919-11",42.0 2053 | "1919-12",34.9 2054 | "1920-01",51.1 2055 | "1920-02",53.9 2056 | "1920-03",70.2 2057 | "1920-04",14.8 2058 | "1920-05",33.3 2059 | "1920-06",38.7 2060 | "1920-07",27.5 2061 | "1920-08",19.2 2062 | "1920-09",36.3 2063 | "1920-10",49.6 2064 | "1920-11",27.2 2065 | "1920-12",29.9 2066 | "1921-01",31.5 2067 | "1921-02",28.3 2068 | "1921-03",26.7 2069 | "1921-04",32.4 2070 | "1921-05",22.2 2071 | "1921-06",33.7 2072 | "1921-07",41.9 2073 | "1921-08",22.8 2074 | "1921-09",17.8 2075 | "1921-10",18.2 2076 | "1921-11",17.8 2077 | "1921-12",20.3 2078 | "1922-01",11.8 2079 | "1922-02",26.4 2080 | "1922-03",54.7 2081 | "1922-04",11.0 2082 | "1922-05",8.0 2083 | "1922-06",5.8 2084 | "1922-07",10.9 2085 | "1922-08",6.5 2086 | "1922-09",4.7 2087 | "1922-10",6.2 2088 | "1922-11",7.4 2089 | "1922-12",17.5 2090 | "1923-01",4.5 2091 | "1923-02",1.5 2092 | "1923-03",3.3 2093 | "1923-04",6.1 2094 | "1923-05",3.2 2095 | "1923-06",9.1 2096 | "1923-07",3.5 2097 | "1923-08",0.5 2098 | "1923-09",13.2 2099 | "1923-10",11.6 2100 | "1923-11",10.0 2101 | "1923-12",2.8 2102 | "1924-01",0.5 2103 | "1924-02",5.1 2104 | "1924-03",1.8 2105 | "1924-04",11.3 2106 | "1924-05",20.8 2107 | "1924-06",24.0 2108 | "1924-07",28.1 2109 | "1924-08",19.3 2110 | "1924-09",25.1 2111 | "1924-10",25.6 2112 | "1924-11",22.5 2113 | "1924-12",16.5 2114 | "1925-01",5.5 2115 | "1925-02",23.2 2116 | "1925-03",18.0 2117 | "1925-04",31.7 2118 | "1925-05",42.8 2119 | "1925-06",47.5 2120 | "1925-07",38.5 2121 | "1925-08",37.9 2122 | "1925-09",60.2 2123 | "1925-10",69.2 2124 | "1925-11",58.6 2125 | "1925-12",98.6 2126 | "1926-01",71.8 2127 | "1926-02",70.0 2128 | "1926-03",62.5 2129 | "1926-04",38.5 2130 | "1926-05",64.3 2131 | "1926-06",73.5 2132 | "1926-07",52.3 2133 | "1926-08",61.6 2134 | "1926-09",60.8 2135 | "1926-10",71.5 2136 | "1926-11",60.5 2137 | "1926-12",79.4 2138 | "1927-01",81.6 2139 | "1927-02",93.0 2140 | "1927-03",69.6 2141 | "1927-04",93.5 2142 | "1927-05",79.1 2143 | "1927-06",59.1 2144 | "1927-07",54.9 2145 | "1927-08",53.8 2146 | "1927-09",68.4 2147 | "1927-10",63.1 2148 | "1927-11",67.2 2149 | "1927-12",45.2 2150 | "1928-01",83.5 2151 | "1928-02",73.5 2152 | "1928-03",85.4 2153 | "1928-04",80.6 2154 | "1928-05",76.9 2155 | "1928-06",91.4 2156 | "1928-07",98.0 2157 | "1928-08",83.8 2158 | "1928-09",89.7 2159 | "1928-10",61.4 2160 | "1928-11",50.3 2161 | "1928-12",59.0 2162 | "1929-01",68.9 2163 | "1929-02",64.1 2164 | "1929-03",50.2 2165 | "1929-04",52.8 2166 | "1929-05",58.2 2167 | "1929-06",71.9 2168 | "1929-07",70.2 2169 | "1929-08",65.8 2170 | "1929-09",34.4 2171 | "1929-10",54.0 2172 | "1929-11",81.1 2173 | "1929-12",108.0 2174 | "1930-01",65.3 2175 | "1930-02",49.2 2176 | "1930-03",35.0 2177 | "1930-04",38.2 2178 | "1930-05",36.8 2179 | "1930-06",28.8 2180 | "1930-07",21.9 2181 | "1930-08",24.9 2182 | "1930-09",32.1 2183 | "1930-10",34.4 2184 | "1930-11",35.6 2185 | "1930-12",25.8 2186 | "1931-01",14.6 2187 | "1931-02",43.1 2188 | "1931-03",30.0 2189 | "1931-04",31.2 2190 | "1931-05",24.6 2191 | "1931-06",15.3 2192 | "1931-07",17.4 2193 | "1931-08",13.0 2194 | "1931-09",19.0 2195 | "1931-10",10.0 2196 | "1931-11",18.7 2197 | "1931-12",17.8 2198 | "1932-01",12.1 2199 | "1932-02",10.6 2200 | "1932-03",11.2 2201 | "1932-04",11.2 2202 | "1932-05",17.9 2203 | "1932-06",22.2 2204 | "1932-07",9.6 2205 | "1932-08",6.8 2206 | "1932-09",4.0 2207 | "1932-10",8.9 2208 | "1932-11",8.2 2209 | "1932-12",11.0 2210 | "1933-01",12.3 2211 | "1933-02",22.2 2212 | "1933-03",10.1 2213 | "1933-04",2.9 2214 | "1933-05",3.2 2215 | "1933-06",5.2 2216 | "1933-07",2.8 2217 | "1933-08",0.2 2218 | "1933-09",5.1 2219 | "1933-10",3.0 2220 | "1933-11",0.6 2221 | "1933-12",0.3 2222 | "1934-01",3.4 2223 | "1934-02",7.8 2224 | "1934-03",4.3 2225 | "1934-04",11.3 2226 | "1934-05",19.7 2227 | "1934-06",6.7 2228 | "1934-07",9.3 2229 | "1934-08",8.3 2230 | "1934-09",4.0 2231 | "1934-10",5.7 2232 | "1934-11",8.7 2233 | "1934-12",15.4 2234 | "1935-01",18.9 2235 | "1935-02",20.5 2236 | "1935-03",23.1 2237 | "1935-04",12.2 2238 | "1935-05",27.3 2239 | "1935-06",45.7 2240 | "1935-07",33.9 2241 | "1935-08",30.1 2242 | "1935-09",42.1 2243 | "1935-10",53.2 2244 | "1935-11",64.2 2245 | "1935-12",61.5 2246 | "1936-01",62.8 2247 | "1936-02",74.3 2248 | "1936-03",77.1 2249 | "1936-04",74.9 2250 | "1936-05",54.6 2251 | "1936-06",70.0 2252 | "1936-07",52.3 2253 | "1936-08",87.0 2254 | "1936-09",76.0 2255 | "1936-10",89.0 2256 | "1936-11",115.4 2257 | "1936-12",123.4 2258 | "1937-01",132.5 2259 | "1937-02",128.5 2260 | "1937-03",83.9 2261 | "1937-04",109.3 2262 | "1937-05",116.7 2263 | "1937-06",130.3 2264 | "1937-07",145.1 2265 | "1937-08",137.7 2266 | "1937-09",100.7 2267 | "1937-10",124.9 2268 | "1937-11",74.4 2269 | "1937-12",88.8 2270 | "1938-01",98.4 2271 | "1938-02",119.2 2272 | "1938-03",86.5 2273 | "1938-04",101.0 2274 | "1938-05",127.4 2275 | "1938-06",97.5 2276 | "1938-07",165.3 2277 | "1938-08",115.7 2278 | "1938-09",89.6 2279 | "1938-10",99.1 2280 | "1938-11",122.2 2281 | "1938-12",92.7 2282 | "1939-01",80.3 2283 | "1939-02",77.4 2284 | "1939-03",64.6 2285 | "1939-04",109.1 2286 | "1939-05",118.3 2287 | "1939-06",101.0 2288 | "1939-07",97.6 2289 | "1939-08",105.8 2290 | "1939-09",112.6 2291 | "1939-10",88.1 2292 | "1939-11",68.1 2293 | "1939-12",42.1 2294 | "1940-01",50.5 2295 | "1940-02",59.4 2296 | "1940-03",83.3 2297 | "1940-04",60.7 2298 | "1940-05",54.4 2299 | "1940-06",83.9 2300 | "1940-07",67.5 2301 | "1940-08",105.5 2302 | "1940-09",66.5 2303 | "1940-10",55.0 2304 | "1940-11",58.4 2305 | "1940-12",68.3 2306 | "1941-01",45.6 2307 | "1941-02",44.5 2308 | "1941-03",46.4 2309 | "1941-04",32.8 2310 | "1941-05",29.5 2311 | "1941-06",59.8 2312 | "1941-07",66.9 2313 | "1941-08",60.0 2314 | "1941-09",65.9 2315 | "1941-10",46.3 2316 | "1941-11",38.3 2317 | "1941-12",33.7 2318 | "1942-01",35.6 2319 | "1942-02",52.8 2320 | "1942-03",54.2 2321 | "1942-04",60.7 2322 | "1942-05",25.0 2323 | "1942-06",11.4 2324 | "1942-07",17.7 2325 | "1942-08",20.2 2326 | "1942-09",17.2 2327 | "1942-10",19.2 2328 | "1942-11",30.7 2329 | "1942-12",22.5 2330 | "1943-01",12.4 2331 | "1943-02",28.9 2332 | "1943-03",27.4 2333 | "1943-04",26.1 2334 | 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"1947-02",113.4 2380 | "1947-03",129.8 2381 | "1947-04",149.8 2382 | "1947-05",201.3 2383 | "1947-06",163.9 2384 | "1947-07",157.9 2385 | "1947-08",188.8 2386 | "1947-09",169.4 2387 | "1947-10",163.6 2388 | "1947-11",128.0 2389 | "1947-12",116.5 2390 | "1948-01",108.5 2391 | "1948-02",86.1 2392 | "1948-03",94.8 2393 | "1948-04",189.7 2394 | "1948-05",174.0 2395 | "1948-06",167.8 2396 | "1948-07",142.2 2397 | "1948-08",157.9 2398 | "1948-09",143.3 2399 | "1948-10",136.3 2400 | "1948-11",95.8 2401 | "1948-12",138.0 2402 | "1949-01",119.1 2403 | "1949-02",182.3 2404 | "1949-03",157.5 2405 | "1949-04",147.0 2406 | "1949-05",106.2 2407 | "1949-06",121.7 2408 | "1949-07",125.8 2409 | "1949-08",123.8 2410 | "1949-09",145.3 2411 | "1949-10",131.6 2412 | "1949-11",143.5 2413 | "1949-12",117.6 2414 | "1950-01",101.6 2415 | "1950-02",94.8 2416 | "1950-03",109.7 2417 | "1950-04",113.4 2418 | "1950-05",106.2 2419 | "1950-06",83.6 2420 | "1950-07",91.0 2421 | "1950-08",85.2 2422 | "1950-09",51.3 2423 | "1950-10",61.4 2424 | "1950-11",54.8 2425 | "1950-12",54.1 2426 | "1951-01",59.9 2427 | "1951-02",59.9 2428 | "1951-03",59.9 2429 | "1951-04",92.9 2430 | "1951-05",108.5 2431 | "1951-06",100.6 2432 | "1951-07",61.5 2433 | "1951-08",61.0 2434 | "1951-09",83.1 2435 | "1951-10",51.6 2436 | "1951-11",52.4 2437 | "1951-12",45.8 2438 | "1952-01",40.7 2439 | "1952-02",22.7 2440 | "1952-03",22.0 2441 | "1952-04",29.1 2442 | "1952-05",23.4 2443 | "1952-06",36.4 2444 | "1952-07",39.3 2445 | "1952-08",54.9 2446 | "1952-09",28.2 2447 | "1952-10",23.8 2448 | "1952-11",22.1 2449 | "1952-12",34.3 2450 | "1953-01",26.5 2451 | "1953-02",3.9 2452 | "1953-03",10.0 2453 | "1953-04",27.8 2454 | "1953-05",12.5 2455 | "1953-06",21.8 2456 | "1953-07",8.6 2457 | "1953-08",23.5 2458 | "1953-09",19.3 2459 | "1953-10",8.2 2460 | "1953-11",1.6 2461 | "1953-12",2.5 2462 | "1954-01",0.2 2463 | "1954-02",0.5 2464 | "1954-03",10.9 2465 | "1954-04",1.8 2466 | "1954-05",0.8 2467 | "1954-06",0.2 2468 | 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/Data/particle_mini.npz: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sraeisi/MachineLearning_Physics/255f1bf31f974d64a76828715543d6e5b0395ee5/Data/particle_mini.npz -------------------------------------------------------------------------------- /Project/Milestone1_data.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sraeisi/MachineLearning_Physics/255f1bf31f974d64a76828715543d6e5b0395ee5/Project/Milestone1_data.pdf -------------------------------------------------------------------------------- /Project/Milestone2_TraditionalTechniques.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sraeisi/MachineLearning_Physics/255f1bf31f974d64a76828715543d6e5b0395ee5/Project/Milestone2_TraditionalTechniques.pdf -------------------------------------------------------------------------------- /Project/README.md: -------------------------------------------------------------------------------- 1 | ---- 2 | You need to submit each part of the project as a group and in time. 3 | ======= 4 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | --- 2 | 3 | --- 4 | Machine Learning in Physics 5 | === 6 | 7 | This is to facilitate the “Machine Learning in Physics” course that I am 8 | teaching at Sharif University of Technology for winter-21 semester. For more 9 | information, see the course page at 10 | 11 | 12 | 13 | --- 14 | Classes 15 | === 16 | 17 | We have our sessions on Saturday and Monday, 15-16.30 Tehran time (GMT+3:30). 18 | 19 | The course is presented on online and the link of the class is: 20 | 21 | https://vc.sharif.edu/ch/sraeisi 22 | 23 | 24 | --- 25 | Reading Materials 26 | ============= 27 | - Raeisi, S., & Raeisi, S. (2023). Machine Learning for Physicists: A hands-on approach. IOP Publishing. 28 | 29 | - Mehta, Pankaj, et al. "A high-bias, low-variance introduction to machine learning for physicists." [Physics Reports (2019)](https://www.sciencedirect.com/science/article/pii/S0370157319300766). 30 | 31 | - Nielsen, Michael A. Neural networks and deep learning. Vol. 25. San Francisco, CA, USA:: Determination press, 2015. ([Available online](http://neuralnetworksanddeeplearning.com) ) 32 | 33 | - Chollet, Francois. Deep learning with Python. Simon and Schuster, 2021. 34 | 35 | - Albon, Chris. Machine learning with python cookbook: Practical solutions from preprocessing to deep learning. " O'Reilly Media, Inc.", 2018. 36 | 37 | - Stevens, Eli, Luca Antiga, and Thomas Viehmann. [Deep Learning with PyTorch](https://pytorch.org/assets/deep-learning/Deep-Learning-with-PyTorch.pdf). Manning Publications, 2020. 38 | - 39 | 50 | Assignments 51 | ================== 52 | | Assigment | Deadline and Submission link | Solutions | 53 | |------------|------------------------------|-----------| 54 | | [A1: Problem statement](https://docs.google.com/document/d/1acHKAsHSYPqHKNrohi2ig691Vpvwpyyip0p9WrD3I0E/export?format=pdf) | [Mehr 10th](https://forms.gle/z16FVaHVadQ4Q5NX9) | | 55 | | [A2: Data](https://docs.google.com/document/d/1vSZzv_HdRFtawXaQ6LM0Guop9IUlMl4i7adnJ1w8ebs/export?format=pdf) | [Mehr 24th](https://forms.gle/VNVm9vBijD4AuA9W6) | | 56 | | [A3: Model, Loss & Optimization](https://docs.google.com/document/d/1JXpKcEdL_eCLrX1wo7I4djLny-xf2fviqoGRiZtW_mY/export?format=pdf) | [Aban 8th](https://forms.gle/DSg51jzqo2r8oJZp6) | | 57 | |[A4: Optimization & Model Evaluation](https://docs.google.com/document/d/18ZUShBp-CeT0Y2_RiKN5wbcAdOIlLJ5ccw_KaZcyEJc/export?format=pdf) |[Azar 5th](https://forms.gle/n1pHvuif5Aeh7NWQ6)|| 58 | 59 | --- 60 | Course Materials 61 | ================== 62 | 63 | The course material is posted here. If you come across a mistake or problem, please let me know. 64 | 65 | Also, the videos of some(most) of the lectures are posted [here](https://www.aparat.com/v/jmxF1?playlist=340003). These videos are in Farsi. 66 | 67 | 69 | 70 | | Topic | Lecture notes | Notebook(s) | Videos | 71 | |---------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------|-------| 72 | | **Section 1** | **Basics of Machine Learning** | | 73 | | Introduction | [Introduction to ML](1/MLP_intro.pdf) | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/sraeisi/MachineLearning_Physics/blob/master/1/MLP_Basics_Intro.ipynb) | [Video 1](https://aparat.com/v/5Uz8C)
[Video 2](https://aparat.com/v/FuL19)
[Video 3](https://aparat.com/v/wqoBb) | 74 | | Data | [Data](1/MLP_Basics_Data.pdf) | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/sraeisi/MachineLearning_Physics/blob/master/1/MLP_Basics_Data.ipynb) | [Video 1]( https://aparat.com/v/7BSVc)
[Video 2](https://aparat.com/v/oqrsU)| 75 | | Model | [Model](1/MLP_Basics_Model.pdf) | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/sraeisi/MachineLearning_Physics/blob/master/1/MLP_Basics_Model.ipynb) | [Video 1]( https://aparat.com/v/p1mgi)
[Video 2](https://aparat.com/v/K4R1V)
[Video 3](https://aparat.com/v/bFYC0)| 76 | | Loss Functions | [Loss Functions](1/MLP_Basics_LossFunctions.pdf) | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/sraeisi/MachineLearning_Physics/blob/master/1/MLP_Basics_Loss.ipynb) | [Video 1](https://aparat.com/v/qOx5s)
[Video 2](https://aparat.com/v/eH7Di) | 77 | | Optimization | [Optimization](1/MLP_Basics_Optimization.pdf) | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/sraeisi/MachineLearning_Physics/blob/master/1/MLP_Basics_Optimization.ipynb) | [Video 1](https://www.aparat.com/v/36JCv?playlist=1230685)
[Video 2](https://aparat.com/v/XyVP9)
[Video 3](https://aparat.com/v/wpZrH) | 78 | | Model Evaluation | [Model Evaluation](1/MLP_Basics_ModelEvaluation.pdf) | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/sraeisi/MachineLearning_Physics/blob/master/1/MLP_Basics_ModelEvaluation.ipynb) | [Video 1](https://aparat.com/v/0tKLU)
[Video 2](https://aparat.com/v/ZMfRj)
[Video 3](https://aparat.com/v/CmMrw)
[Video 4](https://aparat.com/v/72YBn) 79 | | **Section 2** | **Neural Networks** | | 80 | | Introduction: Feed Forward | [Introduction](2/MLP_NN_Intro.pdf) | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/sraeisi/MachineLearning_Physics/blob/master/2/MLP_NN_FeedForward.ipynb) | [Video 1](https://aparat.com/v/E1znV)
[Video 2](https://aparat.com/v/s5unx) | 81 | | Back Propagation | [Back Propagation](2/MLP_NN_BackPropagation.pdf) | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/sraeisi/MachineLearning_Physics/blob/master/2/MLP_NN_BackPropagation.ipynb) | [Video 1](https://aparat.com/v/nxTj6)
[Video 2](https://aparat.com/v/WOUoA)| 82 | | NN Libraries | | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/sraeisi/MachineLearning_Physics/blob/master/2/MLP_NN_Libraries.ipynb) | [Video 1](https://aparat.com/v/efX8d)
[Video 2](https://aparat.com/v/vKxXJ)| 83 | | Examples: Model Evaluationa & Tuning | | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/sraeisi/MachineLearning_Physics/blob/master/2/MLP_NN_ModelEvaluationa&Tuning.ipynb) | 84 | | **Section 3** | **More on Neural Networks** | | 85 | | Convolutional Neural Networks | [Convolutional Neural Networks](3/MLP_CNN.pdf) | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/sraeisi/MachineLearning_Physics/blob/master/3/MLP_CNN_Convolution.ipynb) | 86 | | Implementation of CNN | | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/sraeisi/MachineLearning_Physics/blob/master/3/MLP_CNN_ConvNet.ipynb)| 87 | |Transfer Learning|| [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/sraeisi/MachineLearning_Physics/blob/master/3/MLP_CNN_Example_Galaxy_ZooII.ipynb)| 88 | |Recurrent Neural Networks| [Recurrent Neural Networks](3/MLP_NN_RecurrentNeuralNetworks.pdf) | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/sraeisi/MachineLearning_Physics/blob/master/3/MLP_NN_RNN.ipynb)| 89 | 135 | 136 | --- 137 | Project 138 | ======= 139 | |Milestone | Due date| Submission Link | 140 | |-----------|---------|-----------------| 141 | |[Data](Project/Milestone1_data.pdf)| Mehr 30th|[Submit here.](https://forms.gle/noppi764GdE13Cec7)| 142 | |[Traditional ML techniques](Project/Milestone2_TraditionalTechniques.pdf)| Aban 30th|[Submit here.](https://forms.gle/noppi764GdE13Cec7)| 143 | |Neural Networks: Same as MS2 but with NN| Azar 30th|[Submit here.](https://forms.gle/noppi764GdE13Cec7)| 144 | 177 | 178 | 179 | --- 180 | Marking Scheme 181 | ============== 182 | 183 | This is a tentative plan and we may change it as we move on. 184 | 185 | - Course Project: 40-60% 186 | 187 | - Assignments: 20-40% 188 | - Exam: 0-30% 189 | 190 | - Class Participation 5-10% 191 | 192 | --- 193 | Requirements: 194 | ============= 195 | 196 | - Decent understanding of programming and python and the following 197 | libraries 198 | 199 | - Numpy 200 | 201 | - Pandas 202 | 203 | - Plotting and graphical presentation tools in python 204 | 205 | - Git and Github (if you not familiar, let me know.) 206 | 207 | - Basic understanding of quantum mechanics and statistics. 208 | 209 | - Basic understanding of machine learning 210 | 211 | 263 | 264 | --- 265 | Cheat sheets and guides 266 | ======================= 267 | 268 | See the files in the CheatSheet folder. 269 | 270 | | Item | Description | 271 | |---------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------| 272 | | [Jupyter](CheatSheets/Jupyter%20Notebook_CheatSheet.pdf) | Jupyter provides an interactive environment for programming. We will be mostly using the python 3 kernel. | 273 | | [Git and Github](CheatSheets/git-CheatSheet.pdf) | Git provides a strong infrastructure for version control. Github is web-based hosting service for version control and it also provides services for collaboration. | 274 | | [Python](CheatSheets/Python_CheatSheet.pdf) | It is the programming language that we will be mostly using for this course. | 275 | | [NumPy](CheatSheets/NumPy_Basics_CheatSheet.pdf ) | It’s a python library that provides strong and efficient tools for manipulation of high-dimensional arrays. | 276 | | [SciPy](CheatSheets/SciPy_CheatSheet.pdf) | It’s a python library, built on NumPy for mathematical and scientific computing. | 277 | | [Pandas_basics Pandas 2](CheatSheets/Pandas_basics_CheatSheet.pdf )
[Importing data](CheatSheets/Pandas_2_CheatSheet.pdf) | It’s a python library, built on NumPy that provides efficient tools for handling and analysis of data. | 278 | | [Matplotlib](CheatSheets/Matplotlib_CheatSheet.pdf)
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