Untitled3.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/alexey/.local/lib/python3.5/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n",
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import pyarrow.parquet as pq\n",
    "import os\n",
    "import matplotlib\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline  \n",
    "\n",
    "import pandas as pd\n",
    "import pyarrow.parquet as pq # Used to read the data\n",
    "import os \n",
    "import pywt\n",
    "import numpy as np\n",
    "from scipy.signal import resample\n",
    "from scipy import signal\n",
    "from sklearn import preprocessing\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.utils import class_weight\n",
    "from sklearn.metrics import roc_curve\n",
    "\n",
    "from keras.layers import * # Keras is the most friendly Neural Network library, this Kernel use a lot of layers classes\n",
    "from keras.models import Model\n",
    "from keras import layers\n",
    "from keras import models\n",
    "from keras.callbacks import ModelCheckpoint\n",
    "\n",
    "from keras.preprocessing.image import ImageDataGenerator\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Dense, Dropout, Activation, Flatten\n",
    "from keras.layers import Conv2D, MaxPooling2D\n",
    "\n",
    "from tqdm import tqdm # Processing time measurement\n",
    "from sklearn.model_selection import train_test_split \n",
    "from keras import backend as K # The backend give us access to tensorflow operations and allow us to create the Attention class\n",
    "from keras import optimizers # Allow us to access the Adam class to modify some parameters\n",
    "from sklearn.model_selection import GridSearchCV, StratifiedKFold # Used to use Kfold to train our model\n",
    "from keras.callbacks import * # This object helps the model to train in a smarter way, avoiding overfitting\n",
    "\n",
    "from scipy.signal import find_peaks, peak_widths, peak_prominences\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "import pyarrow.parquet as pq\n",
    "import gc\n",
    "import pywt\n",
    "from statsmodels.robust import mad\n",
    "import scipy\n",
    "from scipy import signal\n",
    "from scipy.signal import butter, find_peaks, find_peaks_cwt\n",
    "from scipy import optimize, misc\n",
    "from sklearn.decomposition import NMF\n",
    "\n",
    "import warnings\n",
    "\n",
    "# Suppress pandas future warnings, I am using different library versions locally\n",
    "# that do not raise warnings.\n",
    "warnings.simplefilter(action='ignore', category=FutureWarning)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def maddest(d, axis=None):\n",
    "    \"\"\"\n",
    "    Mean Absolute Deviation\n",
    "    \"\"\"\n",
    "    return np.mean(np.absolute(d - np.mean(d, axis)), axis)\n",
    "\n",
    "def denoise_signal( x, wavelet='db4', level=1):\n",
    "    \"\"\"\n",
    "    1. Adapted from waveletSmooth function found here:\n",
    "    http://connor-johnson.com/2016/01/24/using-pywavelets-to-remove-high-frequency-noise/\n",
    "    2. Threshold equation and using hard mode in threshold as mentioned\n",
    "    in section '3.2 denoising based on optimized singular values' from paper by Tomas Vantuch:\n",
    "    http://dspace.vsb.cz/bitstream/handle/10084/133114/VAN431_FEI_P1807_1801V001_2018.pdf\n",
    "    \"\"\"\n",
    "    \n",
    "    # Decompose to get the wavelet coefficients\n",
    "    coeff = pywt.wavedec( x, wavelet, mode=\"per\" )\n",
    "    \n",
    "    # Calculate sigma for threshold as defined in http://dspace.vsb.cz/bitstream/handle/10084/133114/VAN431_FEI_P1807_1801V001_2018.pdf\n",
    "    # As noted by @harshit92 MAD referred to in the paper is Mean Absolute Deviation not Median Absolute Deviation\n",
    "    sigma = (1/0.6745) * maddest( coeff[-level] )\n",
    "\n",
    "    # Calculte the univeral threshold\n",
    "    uthresh = sigma * np.sqrt( 2*np.log( len( x ) ) )\n",
    "    coeff[1:] = ( pywt.threshold( i, value=uthresh, mode='hard' ) for i in coeff[1:] )\n",
    "    \n",
    "    # Reconstruct the signal using the thresholded coefficients\n",
    "    return pywt.waverec( coeff, wavelet, mode='per' )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {},
   "outputs": [],
   "source": [
    "fileId = 105845\n",
    "dat = pd.read_csv(\"training/%d.csv\" % (fileId), header=None)\n",
    "dat[0]=dat[0]*1e-6\n",
    "dat[0]=np.cumsum(dat[0])\n",
    "d1=dat[0]\n",
    "d2=dat[1]\n",
    "\n",
    "bins=128\n",
    "ebins = np.linspace(0,2500,bins+1)\n",
    "tmax = int(d1.values[-1])\n",
    "X = np.zeros((tmax,bins))\n",
    "\n",
    "for i in range(tmax):\n",
    "    dind = np.argwhere((d1 > (i)) & (d1 < (i + 1))).flatten() \n",
    "    d3 = d2[dind]\n",
    "    hist = np.histogram(d3, bins=ebins)[0]\n",
    "    hist = denoise_signal(hist)\n",
    "    X[i,:] = np.abs(hist)\n",
    "    \n",
    "ncomp = 3\n",
    "model = NMF(ncomp, init='random', random_state=0)\n",
    "comps = model.fit(X[:30,:]).components_\n",
    "W = model.transform(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "77.05184421623781\n",
      "[14.78504839 13.86146564 13.89951673  7.03182472 15.75008286]\n",
      "57.20977893243667\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f56f98f28d0>"
      ]
     },
     "execution_count": 193,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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Dt1Iuia6US9Yeutaw6m4It8PR5w53M4UQYlT0GdC11q8DKsfDZw9tc3oXjMTxuBypQJ6sR4/rPgZFo0GIRyDSQX1bmF2HO1g8vXTE2i2EECPBVjNFQ9F4qncOpg69WtXj3vRkWsolS0DvtGrTo0F+/dI2/vm+VbJKoxBi3LFVQO+MZAZ0p1Jc6VxB4d++QjQUSh3T84nN5jLSwfv7monEEtS2hkaiyUIIMWJsFdCD0TgBT2YPvZAOFBpH0BTZZB0UtXroiUg7mw62AbC/uXP4GyyEECPIVgG9MxLH162HnqdMT9sdPGSO6SXlEg62p3Lt+5skoAshxhd7BfRoLFWyCGamaD4mMHuCtUCOHHrIpFxinW2pu6SHLoQYb+wV0CPdUi5KkY/poXs7kymX3gdFi/xuSgLurAF9X2OQGx9eS3s4NvSNF0KIYWavgB5NZKZcHIp8FQTAH0r20LPl0E0P3RnrZF5VEVUlfhoaGuDuj8HB91OHrdrVyPL3D7BiU+0w/hZCCDE87BXQI7EePfQ8q4ceCJuFv3rLoft0iHlVhVQV+0k07TbBfP+ajPMDrNg07KsYCCHEkLNXQO9Wh+50KAqUSZ3kR0xA7y3l4lCahZO8VBUH6Gi1ShlDXeuMBa2Sx1e21KW2uxNCCLuwV0DvXuXiINVDL4iagB6OJXpuHG0NigLMm+iiqsSPJ95h7gj3DOitoZhslCGEsB17BfRudehOEgRUGICi6GGSK/iGYt166Z1dwXmyP05VsT/1QUCoJfVYKBrH7VS4nWrgefTtK+DFHw3suUIIMQi2CejReIJoXGekXDwxMyAaCUzCq0MUWCWMPQZGO5sI4wFARTupKvaTb6Vquqdc8r0uTplRNvA8+oYnYOWvkd2rhRAjzTYBvfta6ADuhEmbdBbOAKBCNWYcmxTtaGJ/wlqMKxqkqsRPPubDoHvKJeBxcfbsiew83MHO+vYjb2ioGRIxCDYc+XOFEGIQbBPQQ5GeAd0TNQE3WDgTgAplUivpA6PBUAh3tI0Wt7VbUqSdkoCbYmfYOnFXQE9OXDp7jtlN76FVezGbMR2B5LoxbQd7P04IIYaYbQJ697XQAdxx08vuKJgOwCRMQE9foOvu59cCMGXaMeaOSBClFJN8UXO7Rw/dyZTSAJcurOTe13fx3cfXEYkdQfokFdAP9f85QggxBGwT0JMVKOmDou6Y6aG3WymXKpcJpsmldLfXtfH0qo0ATKgyxxA1HwIT3FZA75ZDT35g3PbZhdywdCaPvLOPGx56t/8NDUkPXQgxOvqzY9GYkOyh+zJ66CaHHvKU0UYeU1wtEIHOiOlRf1DTQoG28uCFleYyYm6XuqyUSzizyqUszwyeOhyKb503m9bOGA+/bVIvSuXa5yO9oVZAb5fZpkKIkWWbHnpqP9H0OvSoCegRZx71qpRKh5VysYJ/WyhGsUoG9GpzGTE99GKnKVvUodZURUpyUDRdZbHf2rO0H2mXeBQi1gJg0kMXQoww2wX09IDriiUDeoA6SpjYbVC0LRSlEGsCUVGVubQ+BPKsEkeFTvXau09cAsj3mddrDUX7bmRaTbvk0IUQI80+AT1VttjVZJdV5RJ2BjikS5mQaMg4ti0UY4LTCuj5FeBwQcTcDuhg18mtgdFgt7ViAAqtgN4W6scKjJ1dM1Klhy6EGGn2CeiRnjl0Z6yDkHYTw8XBRDGF8SYcJAhHu6bwl7utCUS+IvDkpVIunniQkHabx0LJgB7vEdALjiSgJwdE8yukhy6EGHH2CejRLCmXSDtt+IknNPvjJTiJU0ZLWg89ygRnEDwF4HSDOy+VcnFE2zmorclG4VbiVp7c3yOgu1Pn6ruR1hIDE+eYQdFEloXChBBimNguoKcPijpi7bRrP53ROLW6BIBJqik19b8tFKPMEQS/eQxPIJVyUeE2Duoyc3+oNe0DYxA99GTKpXwO6AR01B/5LyqEEANkm4CerEP3urqa7Ii004GfYLgroB/nrMnooRepDvAXmSckUy6xMCoRpU5NMPeHW7uqaLpVueR7ze32PgJ6JJYgkeyhlx9rLiXtIoQYQbYJ6CFrLXSHo6sW3BntoB3TQ9+pJxP0TuAW1118euPX4OD7tIViFNHe1UN355mJRWFTWtjosgJ6qLmrisadPeXSV5XL2f/9Cu9u2WluTJxjLiWgCyFGkG0CejAS65HfVpE22rWPYCROOwGeP+Mp7nBcxaSOrfDnz9PWGaVAt6WlXPJMiaIV0FvcE839oVaCUdMD7/4ayR56bymXeEKzr7GT1sZ68ORD0RTzgFS6CCFGkG0CemckkZE/B5Nyacef2jrOESjhUd9neLr8S9C0m6rwNgLxdvAVmyd4AiblYgX0kKeUGC4It6ZSOt0DutOhyPe6eg3oQev1dWezea38iYCSHroQYkTZJqCHovEsPfR2OrQ/I7/udzt5x7cErZwsTbyJP96aM+WCt4gOFTCDojlSLmAGRnurckm+viPcAv5iU1GTVy49dCHEiLJNQA9GYj166CrSRhvpAd2Jz+3gcCKf+NQlXOZ8A5eO9ky5WDNDlS+fdgIZPfTuU/+BPnvoHWHzWCDRRsxrDcAWTJIeuhBiRNkmoHd276HHo6hYiA7tS1W1eF0OfG4noWic1ukXUq0Om2P92VMuDl8hbZgeejJt0v1bAJgeenu4t5SLef0iOgg6CgDQBZNprtuXfdNqIYQYBvYJ6GlL2wKpoNyOPxWMPS4Hfo8J6PXV55LQVkVMesolHk5NAHL7C2lJ+CHcmgq83evQwVS69CflUqQ6aCUPgMOqhEjzAf60au/Af2khhDgC9gno0W4B3UqbmEHRtJSLy0komqDZUcI72qoHTw2KmmCbXNrWFSiiOeFHh1q6BkVz5tB7SblYHyjFtNMQDwCwP1bIBFp4Yf3+gf3CQghxhPoM6Eqp3yul6pRS69PuK1VKvaCU2mZdlgxvM01Az+g9J3vo6YOibtND74zGaQvFeCZ+sjk2z9p+zmOCrQnoCn9eAa06kBnQc/TQW3urcgnH8RDFryLURv0AbO8swKE0u/fsor4tPIjfXAgh+qc/PfT7gfO73fcdYIXW+mhghXV7WHVG4vgyArq1nyi+jCoXn9thAno4ykPxszl0wb1dE33cVg+9rRY8+eT7PKkcemckjkNlzkRN6qvKpSMSo8hapvdA2AvA+lbz4TGRJl7cJJtdCCGGX58BXWv9D6Cx292XAg9Y1x8ALhvidvWQK4ceVIG0QVFnalC0LRQjigvn3EsgudNQMuXSdhC8BSY3TgAVaScYjhLwuLLuSlTgdRGOJXLuLdoZiVOoTEDfG/QQjsVZ2+wD4PjCIM+tl2oXIcTwG2gOvUJrnSyyPgRU5DpQKXWdUmq1Ump1ff3AFqvSWvdMuVg7A3WqQMagaHpAh67FtcwByZRLHXjzyfe5aNV+FJpEuDVruiX9HLkqXToiMYox3xh2tbvZdLCNunghAKdPhpU7DtPS2Y/VGoUQYhAGPSiqtdaA7uXxe7TWi7TWi8rLywf0GuFYgoTOXAs92UPvdARSqysmJxZF45rmYASP05H5nGTKpaPO6qG7TMoFINSatcIF+l5CNxiOU+IwPfSGRB4vbqylEVO+uKAsRjSueXlz3YB+dyGE6K+BBvRapdRkAOtyWKNV1pJCK4ceUv7UXckcOkB9Wzizdw5dKRedAE8+BV4XbdoEdBVuzVrhAn0vodsRiVHuMnuUtpDHM+sP4vEF0O48Kt1BKgq9knYRQgy7gQb05cDV1vWrgaeGpjnZZS0pDHelXMCsueJyOlLH1GUN6IGu62k5dABHJHfKpa99RTsjcSa4zE5ILTqPnfUdHFdZiAqUoYINnHfcJF7ZWpcqrxRCiOHQn7LFh4E3gWOVUjVKqWuBW4BzlVLbgHOs28Omaz/Rbjl0dwCcJtgmq1O8VkA3PXR35omSKRcAb6GVQ7c+ECJtOVMuhamUS64eetxspAF0OPIBOL6yCPLKINjA+cdNIhRN8OpW2fBCCDF8ei5c0o3W+oocD509xG3JqTNXD92TjzNiqlI8VkBP76EfV1mYeSJPekDPJ8/jNItzAa5IG3539rcjNSiaI6AHwzGTQ/cWMTmQx97GIMdVFUJzGQQPs3h6KcUBN89vOMT5x086sl9eCCH6yRYzRbP20MPt4C3AaZUZersF9JbOaM+Uizsz5aKUIu4xg5fuWO4eel+Doh2RGMUqCP4ijiozr3F8ZREEJkCwAZfTwblzKnhxU23O0kchhBgsewT0XD10bz5ORzKgm8fSq1p6pFwcjq6g7jGpEWWtjuiJdeQM6H1tchGMxClSZt31GRPyyPe6mFGeD4Ey6GgA4PzjJ9EWivHmzob+/tpCCHFEbBHQs07Lj7SDtxCH9Rukeuierl+pRw8dugK61/TMvf4AUdz4Eu05B0U9Lgdel4O2HHXowUicAm22urvx7KN59CunmA+avDKIdkC0kyWzJpDncUq1ixBi2NgioCfLFjN76K0mh55MuVjlismeOmTpoUNXpYvX5NfzvS6CjgD+eHvOHnryXLnr0GPk63bwF1OW7+W4SmtN9ECZdUAjPreTpbMn8sLGQ8QTOcv2hRBiwGwR0HvNoVspF4/T0eOYwmw9dCvVgtdcmslFeeQTzFmHnjxXrgW6OiLxzK3uklIB3azLfs6cCg63R9h8qDXn6wghxEDZIqCndhNKVqFseRZaaiB/Yh859L5TLvk+Ny0JPwUE8WfZrSj9XLmqXEKRCIF4CwRKMx8ITLB+AZM3XzjFBPx1NS05X0cMsdaD8OadcGh938cKYXO2COjJlIvP44DVv4dHroRJx8OSm3B0S7n4exsUha6Ui6erh344nkepyl3lkjxXtpRLJJagNN6IU8egeGrmg8keujUwelRZgAKfiw/2S0Afdp3N8MhVcNtceP678MIPRrtFQgw7WwT0zkgcp0Ph2fcGPH0zzDoXrvkb5Jen9dDNr5Kc+g85euiplIvJoRd4XezRFRylansN6Ln2Fe2MxDnKYS2PWzI988G8zB66Uor51UXSQx8J7z0Em5+G074G8/8Jdv0DQpLqEuObLQJ60Fo6V+14CRxu+Mz9qUlCPVIufQ2KplIuXT30PbqCYtVBgW7L2YZcuxZ1RGJMVVZAL+0W0H3FoBypHDrAvKpiNh9qJRyTZQCG1Y4VMOEYOPff4aQvQCIK218Y7VYJMaxsEdA7o3GTG9/7FlQuzFiTxdFtYpHDoVLXs/fQu+XQvS52a7P6b2ko93ZxuVIuwUiMqaqOhHJBYXXmgw4H+EtTPXSA+dVFROOazQdzf3iIQYqGYPcbMPMsc3vKYjOesflvo9suIYaZPQJ6JEaxOw7718DUUzIeczkyp/5D18BozpSL6ppgVOBzs1ub6fiFnftytqHA56IjEu9RctgRjnOUqiWUV5laVyZDoAw6unro86tNSaPk0YfR3jch1gkzrdUpHE449gLY9gLEIoM7d/0WqN86+DYKMQzsEdCjceY5dkE8AlNPzXjM0S3lAl0Do4XZUi7zLoezf5DaxSjf56JGl5PQivyOvTnbkGuTi2AkzlRVR6TgqOxPzJsAwa4Nn6qK/ZTmeVhX05zztcQg7VgBTg9MW9J13+yLzNyF3a8N/Lx7VsI9Z8L/fBLiufeYFWK02CSgJ1jIZnNjyskZj3WfWARmYNTtVFn3B6XqJDj95tTNAp+LMB4OUkqgfU/ONnStiZ6ZdkmmXGJFOQJ6oDQjh66UYl5VER/IwOjw2fGy+SaXvhjbjDPMapsDTbvUrIE/fRZcXmitgc1/HZq2CjGEbBHQ7/38Iq6afMAMciUrRyzdq1zApFwKfO6s+4N2l+zF70lU4G3dnfO4ghxL6IbbmyhR7VAyLfsTA2UZOXQwaZdtde2yPvpwaDsEteu78udJbj/MOhu2PAP6CGfqttfDHz9llnL4ymtQfBS8ddfQtVmIIWKLgO5xgKtmVY/eOWRPuZiA3ufKwEDXwlu7dQXOlt05j8u1a5GzeZdpR9mM7E8MWCmXRNcqi/OqiognNBsPSi99yO142Vwm8+fpZp1jNghv2H5k53zvjxBqhmUPQ/EUOPkrsO8tOLB28O0VYgjZIqBzeIv5D9Utfw55Xw4XAAAaf0lEQVTZB0X9RxDQk8ft0ZNwBA9DKHuQzbWErqvV5N3dE3IF9DLQcdN+y/xqM2P0/X0S0IfcjhWQVw4Vx/d87KjTzOWelf0/XyIBax6Ao5ZAxVxz3wn/bNI3q+4efHuFGEL2COh73zSX3SpcoGfZIsAXT5/O9WfM7Nepk9vL7XdMNnc07sp6XLHfBPSmYGZA97eZgO4tzxHQu00uAphU5GP6hDxeko2jh1YiATteMukWR5Z/2mWzTLA/koC++zVo2gUnXt11n68IFl4J6/+SUcEkxGizSUB/C/ImQmnPoOnstnwuwLlzK7hofmW/Tu11OfG4HNS6rOMbd2Y9bnKxD6VgX2Mw4/5AcB8NuhBPXlH2F0iu79Itj/6JeZNZueMwh9vD/Wqn6IdDH5j3OVu6BUxl09RTYe8RBPQ195sJYnMvybz/xM+Zqqutzw24uUIMNXsE9IlzzX+gLIOcqUHRXlZK7EuB18Vhd+8B3etyMrnQ1yOgFwZrqFEVuU+eXKCrW0/uogWTSWh4doTXR++MxPneE+tYds+b3PjwWn7x9y3jZ/XHHSvM5cyluY856jRo3msWd+tLx2GzfMCCZWZQNd2k+VBYZRaKE2KMsEdAP/0mUzueRbaUy5Eq8LlQ3jzIn5Qz5YLWXBxYT/PhAxl3F4f3cyiZrskmtYRuZg/92IoCZk3M56/vH8jypOFR1xZi2e/e4qG39xKOJXi/ppnfvrKD829/jYt+/Rpr9jT2fZKxbMfLMGke5E/MfUwqj/5m3+f74FHTC09PtyQpBcecZ14zGhpYe8WHwq7DHfz0mU0cahn+fyf2COi9yDYoeqTyfS6zMFfpjK4eeu2GzAHS9x/hu00/4Df1XzAr93UchliE4mgdda7+BPTMHrpSiovnV/LO7sYR+UPXtYb45B0r2Xqojbv++SSe+JclvPqtpbz9vXP44cVzaQ5G+dx9b/PO7rER1EPROC2dUVo6o8Ti/diHNdxuUnPdyxW7qzjeLMzWn7TLxuXmAyI5GNrdMReYHal2v973ucSH1rPrD3L3P3aiGf6NbfpXCjKGObLUoR+p6uIAsYSGohlmAad//Bxe+k+zbswXnoVYGF74N+ry57CypYRLV/4a9e6DcNrXcJCgwdNLvt4TMMsMBHsGyosWTOa2F7fyt3UHufb06VmePHR+8swm6tvC/O/1p7JgStdGHKV5Hr6wZDqfmDeZZfe8xTW/f5sHr13MSUeV9nK24fHO7kYefnsvH9S0sKO+PVUuXuR384n5k7lkQSUnTi3J/uG9+zWzAFeu/HmSw2nWdulrYLTjMOxbBWf839zHTP+Y+dtueQaOPqf384kPrRc21jKvqojJRf6+Dx4k2wf01ExR18Bz6P/vM/PNlbenQ3stvPQfMO2jpue1/EYzsNlxmI1n/pabnouw8Mr/YNrr34YV/w5Ak7eq9xfotp5L0szyfOZMLuQPb+yiMxJjwZRilsyckPqQGipv72rkyfcO8LWzZmUE83QTC308fN0pLLvnLa66dxW3Xr6Aixf0b2B5sOraQtzyzGYeX7uf4oCbk6aW8Il5k1Mlpev2t/DEu/t5aNVePC4H86uKmD4hj9I8D1UlfpYeO5EpO14ywTVLJVQPR51m/nbBxp6bkiRtfQ7QMPvC3Odx+2DGUtj6vJms1I+JbOLDpa4txHv7mrn5nGNG5PXsH9CHoIeeWvNlymJQTjjnh3DajfDaL0xwB1h0LcUzPwK8wTY9hWlf/Dus/CUbX/1fDucd3fsL5E3IOdj67fOO5d+f3sjP/24WfDp79kRuW7Yw+zo0AxCLJ/jBU+upKvbzL2fO6vXYikIff/7KqfyfP67haw+vZePBVr5x7jG4ncOXmdta28aVv3uL1s4YNyydyQ1LZxHIsnNURzjGP7bWs2ZPE+/ubeK1bYdp7IgQiSeADbweeBpdciIlcSf5ff2rnprMo78Bcy7OfsyWZ83qmZPm936uY8+HLX+DQ+tgch/Hig+dlzbVobXZfnIk2D6gJ3uz6RtbDNj0j8H3DoHLY25/9JtweJv5On/W95mqzQqNexuD4KyAj36TG1adxPH+HCWLScd9Cl74N9j5qllTJM3S2RNZOnsiraEof1lTw3/9bROX3fEGv77ihK7NpgfhwTf3sPlQG3dedWLmnqw5lBd4eejLp/DD5Rv47Ss7eH79Ib59/rGcd9ykfi2lcCS2HDLB3OlQPH3j6RxTUZDz2DyviwvmTeaCeV3jFVprdjcEWbvqFarfOcCPDp3DX36ygksWVnLOnApOnVmWsSVhStVJppZ889+yB/Rop6lnX3hV373uo8+zfplnJKCLHl7YWEtVsZ85k3P/2x5Ktg/oqUFR58BTLpkn9HRdVwo+dbdZctXloURrCryujNLFYCRGoK+SycXXmVmFL/4Qvvxy1iBR6HPzhSXTmTO5kH/507t84levM7+6iM+cVM1nFk3JDExaQ90mOPAuVBwHkxZknUizZk8jP312E0uPLeeC4yf1+y3wuBz89FPzOGfORG55djPX//Fdzjuugl9fceKgBp/Trd3bxLUPrMbtVDz85VOYUZ5/xOdQSjF9Qh7Tmx8AXzGf+ty3aHqngSfW7udPq/bicTqYOTGfYyvymVqWx+QiHyUBN/EEzJt4NpUbn+bgkiYmlxXhSv8WsvNViAbNkrt9Kagws0g/+LPJt0vaRViCkRivbz/MFYunDnlnKBfbB/Tue4oOCyvIK6WYUhpgT0NH6qFgOE7A20dAd/tg6b/CU/8CG5+E4z5p7q/dCP+4FVoPwCn/B+Zcwikzynjh5o/x5HsHeGr1Lh5c/jx3rZjK9WfPYdmsOO7Vv4MNT0B7Wv26v8Rsf6cUxKPQ2USisxkdncp1eWdw3SU3Degf1NlzKjjjmHLue30XP312Mzc89C53XDm4oK615qG39/Kj5RuYVOTjwS+ezPQJeX0/MZd9b8O25+HsHzJ/5lR+OXMqoWicVbsaWbn9MFtq23h7VyNPvX8gY02uMx2zuN/zOD+8/Te87V7MomklnDKjjFNmlDF/8zM4PAVmHKU/Fl4JT91g2jK153pD4sPptW2HCccSfHzuyKRbYBwE9KHIoR+JqaUBttWZ3Ya01nREYuRlyfn2sGAZvPkbeO5fYdNfzSDprn+YDTfyy+F/r4by2TBjKWXlx3Jt22auDT8K3iZiMRc7np2E07Ef7XCijr0Qjv44VC8yududr5jBXACHi3DZbFbsaGdOYi3fitwJd/zOrDQ4+yJTV912COJhcPnM6xdPMRtcF08zg4Rpwd/ldPCVM2bi9zj5wVMb+NrD73LnVSel3vcMibiZsNO0y4wZNO6EtlpQDrTDSY2azF8OlHL/njJOO2YGv1y2kOKAp+d5jsRL/2Gm85/8ldRdPreTM44p54xjylP3ReMJ6tvCNAejuJwK4qcQvf9uflC1hXvLL+OtnY3c8uxmAoR4zfsE2/NO5P2V+zh5ehmzJxf0Pug+91J45lvw3p8koIuUFzbWUuhz8ZHpI1cxNo4C+hClXPpwVFmAl7bUkUhoIvEECU3fPXQw5XLn3wLLvwoH3jNrdX/0G3DqV00+d8MT8PY98O6DprbZ6TEBeNbZOOu3kr/1He48dBK7Z1zJTy//eNdA5cQ5MP+zqZfZXtfOlx54hwNtIe648jamlxyC9Y/B+sfTpqkrcLpNcO/Okw8Fk0zFiCc/VXb5eU8+H5kV47UtHaz5XTGLp5VAex207jeXoWbobIJE2mqULh/kVxCOxekIBpmSaOQm4EafA+VYglp3Ccy5CAoHUE2jNbz/iPlQPP+WzLXPs3A7HVQW+6ksTisdO+5ipm1czn9ecy+4fSbg//X7lG1t5UdcyF+f2Ww9V3FMRQHTJuRRVexP/VQW+6kq8VPkL4A5l5i/4QU/6zmrVIwr2+vauO91MwHR73Zx2QmVqQX3kuIJzUub61g6e+KwFhV0Z/uAnky5DFVuty9TSgNEYgnq2sKp1+xXDx3MgOhN67I/Nu9y85NIQMteE+T9JQAooOrjULByN48t30Dt/e9ww9JZnDy9NJVK2dcYZPn7B7jr1R14nA4evu5kq5Z8kqmnP+ffoWGb2Us1b6LZLi+RgEibmQrfvBea9kDzHhOgo0GIdJjSvmgNRDqYE+lgpjtI7IAmXufAmV8ORVVm4o2/1Er9TDMTtEpn0O4t59bnt/LgW3uoKPBx80cruGxyE969r5pvKc9+y/xUf8QMSE+aZ9a89xaaAO0tMB886YKNpjrl9dth/2qomGc2gR6IuZ+EtX80A6CzL6Q8UkP5jvthwRX8+pPX82+tIVbvaeKDmhY2HGhhw/4WXthQa1XWdCnwujjbP5fbw4/w6ztvZ33puRT43LidCodSOB3Wj3Xd4VC4HOYxn9tJaZ6b0jwvpXkeyvI8lOZ7KPC6RizvKvrvxY213PToeyS0Js/rorUzysNv7+V3n1/E6Ud37dWwZk8TjR0Rzp1bYTofB9ZC1YnD3j7bB/SjygIcVRbIngIYBlNLTaXLnoaOVG+vP9Uj/eZw5Nws4+rTpqEU3PrcFpbd8xZVxX5rr9MY+xo7AThlRik//8wCqksCmU92OKD82J73+YpMIJ00r1/NS0Tj/NNdb7L7cAeP/tOpzK0szHrc9rp2vnLvSnYe7uDqU6fxzY8fk1qCmFkfhbO+b/bm3LTcrJfy+u1mmeHunB7rm4I1aNpibRNYWA0X/8rkr7sH/f6acYZZeOu1X4DDBavvM693zo8AU5t/4bzJXJhWWZNIaA53hNnf1MmB5hD7m4Psb+qkuWMCh3dM5GMdz/N0YgltoSjRhCaR0MS1Jh63LhOahNbEErrXfTY8TgclVqCfkO+hNM/TFfCTwT+/675Cn3vI5y+ILvGE5jcvbef2FVs5vrKIuz93EpXFfurbwnzuvlV88f53uPOqEznHype/uKkWt1NxxsxiePomswTzl140adJhpPSR7t4yCIsWLdKrV68esdcbDnsaOjjj1le49fL5zK8u5rzb/8EdV57IJ+b3Mv1/iHVG4jyz7iDPbzADowGPk2MmFXDx/EqmlAb6ePbg1TQFueyOlbR2Rvn6OUfzlY/NSFWJNLSHeXFTLf/x9Ca8Lge/vvIETps5oY8zYtZDqd9s8u6RdvPtINxuXbdux6Mw6XjTo6/+iNkObrDe/h28+GPzTQXgnB+btYMG4rX/hhU/Nh8Iadsc5qK1pjMap7EjQmNHhIb2CA0dERo7wuay3brferyxI9JjT9skp0NREkgGfNPLT14vy/d2XbcuiwOeEesEjTatNe/ta+aN7YdpCkbpCMeYV13EuXMqmFjo6/P5dW0hbn70Pd7Y3sBlCyu55dPzM6rOmoMRrv7922w+1MZL/9+ZVBb5OOsXrzKrKMHvfL8xi8Z99Juw9PvZl3XuB6XUGq11n58GEtCPUDSe4NjvP8tXl87izNkT+dSdK/nDFz7C0mN7WRBqHDrcHuaHT23gb+sOUhxwU2oNbu48bCqAFlQX8dt/PikzZz1WxcKmVLF+M5x8fWbp6pFIxOHxL5t10i/+JZx0zZA2E8waN01BE/xTHwTJD4H2zODf0B6mNZT9A0ApKAl07/mnfyCYD4Hkt4DSgCeztNMGWkNRnl13kD++tZd1+826THkes1x2cl+D02aWcdM5x7A4y8BlIqF57N0afvbsZjoiMX58yXF8dtGUrKmw/c2dnPXzV7hw3mRuOHM6v/rl/+MnRY+TH6qFi2+HEz8/qN+lvwF9UCkXpdT5wC8BJ3Cv1vqWwZzPDpKDa9vr21k83Sy81e8c+jgyId/LHVedyMXrD/Hq1jraw3EisTifPqma02aWMb+62D49QJcXjvm4+RkMhxMuuwtCrfDXm8w3io98aUhr031uJ5OL/P1eFyQaT9CU1ss3Pf9wRs+/oSPCtrp2GjsiNAUjOVNBhT4XRQE3Rf7Mn0Kfm0J/z/sLfC58bidelwOvdelyqGEdG2gORnh1az1/31jLixtrCccSHD0xn59cNINLjs0j3+NAa822Ng/PbW3lf97aw2fvfpOPHj2Bn3xyXuob7vv7mvnek+tYv7+VE6YW87NPzzcT32o3WuMuK0yqz1MAlSdQddwnuXFxIYdW/QHPzjf4lWcb0fzjYdl9XSt8joAB99CVUk5gK3AuUAO8A1yhtd6Y6znjoYcO8I0/v8fj7+5nRnkeO+s7ePprp3N81eBndYpxIhKEx75gqopO+Byc91/mvlCLqSyKR82gb94EMwAMZvygvRZaD5pKIX+JOSbaaX7AfGDohElBpaejvIUw4WhTeqp112ukX+q4CT6+IvOT/i0kEU8NgsejYVo6ozR3RmnqMJfNwQjNwShtwU6iwRZina1EQp2EI2HC4TDRSAQSUdzEcak4bmJ4ieIgQSdegtpLEB+deGnHT7uziHZnEUGVB8qBUgqlNXkqRAFBClU7JYkmShONTFJNVDpbmOhopdCrKPA6KfA4yPc68LgcRLSLzriT2mCCfa1xDreH8RCj0Bnl6LxOJjnb8IYPo8JZ1vz3FJAorGSvquK1eh8Bwpxe5SQYCrGzvh3t8jJ92kxmTJ2CathhBjYbtoHDbcZfHG5T3bV/TUbF2JZENU8XfpZvfuPfBpxi6W4keuiLge1a653WCz4CXArkDOjjxS2fMp/Wv3xxG0C/9y8VHxKegNlQ+uX/gtd+Dmv/Z7Rb1JPLb8oro50Q60zd7QRKrZ/+n2tgTYhrJ53OApTW+BLtOMkyKK4hmMinmWKC7U46W6ADRQKFQuPGfIDkqygnOhJ4fQq314/Hl4fKK4f8mZBfYdbI9xebtZrQpsS2rRZH816mNWxjqruGppiPhn1+Irg5xu+iMg+c+zfAzlYoqDTVYou+aMqE89LGhUItZu2flhqWhxdy44owNy88ZsiC+ZEYTCSqAval3a4BesyqUEpdB1wHMHXq1EG83NjhcTm4/oyZXLygkrV7mziqbBAzHcX45HDA2f9mvm4ffM+UdfoKwek1X9XDbWbTk3AroEA5zASpwsldPb9wuwm6njxzTCJqLr1W1Y+3wFyGmqF+i5kT4HCZ8zvcpmLH6TY/ymkGlkPN1k+LCeZuvzmHO2Bex+npShF1//auHOY1fYVmjoHDbcpfHdZrJF/b6bHO47C+YXSY144Eze8bbIRgA87ORvKDDea45DcHX7G5zK8w8yEKJhFw+0kO9bd0RtlW28aW2jbqWsNMyPdQXuDjxKOKKSvoe4Az558LyIvG+cNL2zm6Ip9LFlR2pYZi4d4H4H1FZuIgcEE8wfd9u/n0idUDbstgDCblcjlwvtb6S9btzwEna62/mus54yXlIoQQI6m/KZfBfCfYD0xJu11t3SeEEGIUDCagvwMcrZSarpTyAMuA5UPTLCGEEEdqwDl0rXVMKfVV4HnMWMrvtdYbhqxlQgghjsigyjO01s8AzwxRW4QQQgyCvaZ+CSGEyEkCuhBCjBMS0IUQYpyQgC6EEOPEiK62qJSqB/YM8OkTgMND2JyRJu0fXdL+0SXtH5yjtNblfR00ogF9MJRSq/szU2qskvaPLmn/6JL2jwxJuQghxDghAV0IIcYJOwX0e0a7AYMk7R9d0v7RJe0fAbbJoQshhOidnXroQggheiEBXQghxglbBHSl1PlKqS1Kqe1Kqe+Mdnt6o5SaopR6WSm1USm1QSn1dev+UqXUC0qpbdZlyWi3tTdKKadSaq1S6mnr9nSl1Crrb/CotWTymKSUKlZKPaaU2qyU2qSUOtVO779S6mbr3856pdTDSinfWH7/lVK/V0rVKaXWp92X9f1Wxq+s3+MDpdSJo9fyVFuztf9W69/PB0qpJ5RSxWmPfddq/xal1Hmj0+rsxnxAtzajvgO4AJgLXKGUmju6repVDPim1noucApwg9Xe7wArtNZHAyus22PZ14FNabd/BtymtZ4FNAHXjkqr+ueXwHNa69nAAszvYYv3XylVBdwILNJaH49ZmnoZY/v9vx84v9t9ud7vC4CjrZ/rgN+OUBt7cz892/8CcLzWej6wFfgugPV/eRlwnPWcO60YNSaM+YBO2mbUWusIkNyMekzSWh/UWr9rXW/DBJMqTJsfsA57ALhsdFrYN6VUNfAJ4F7rtgLOAh6zDhmz7VdKFQEfA+4D0FpHtNbN2Oj9xyxr7VdKuYAAcJAx/P5rrf8BNHa7O9f7fSnwoDbeAoqVUpNHpqXZZWu/1vrvWuuYdfMtzI5sYNr/iNY6rLXeBWzHxKgxwQ4BPdtm1FWj1JYjopSaBpwArAIqtNYHrYcOARWj1Kz+uB34NpCwbpcBzWn/wMfy32A6UA/8wUoZ3auUysMm77/Wej/wc2AvJpC3AGuwz/uflOv9tuP/5y8Cz1rXx3T77RDQbUkplQ/8BbhJa92a/pg2taJjsl5UKXURUKe1XjPabRkgF3Ai8Fut9QlAB93SK2P8/S/B9AKnA5VAHj3TAbYylt/vviilvodJo/5ptNvSH3YI6LbbjFop5cYE8z9prR+37q5NfrW0LutGq319WAJcopTajUlvnYXJSRdbKQAY23+DGqBGa73Kuv0YJsDb5f0/B9ilta7XWkeBxzF/E7u8/0m53m/b/H9WSl0DXARcpbsm7Izp9tshoNtqM2or33wfsElr/d9pDy0HrrauXw08NdJt6w+t9Xe11tVa62mY9/olrfVVwMvA5dZhY7n9h4B9SqljrbvOBjZik/cfk2o5RSkVsP4tJdtvi/c/Ta73eznweava5RSgJS01M2Yopc7HpB0v0VoH0x5aDixTSnmVUtMxg7tvj0Ybs9Jaj/kf4ELMSPMO4Huj3Z4+2no65uvlB8B71s+FmDz0CmAb8CJQOtpt7cfvcibwtHV9BuYf7nbgfwHvaLevl3YvBFZbf4MngRI7vf/Aj4HNwHrgfwDvWH7/gYcx+f4o5hvStbneb0BhqtZ2AOsw1Txjsf3bMbny5P/hu9KO/57V/i3ABaPd/vQfmfovhBDjhB1SLkIIIfpBAroQQowTEtCFEGKckIAuhBDjhAR0IYQYJySgCyHEOCEBXQghxon/H4JrP8WadraqAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plt.plot(X[0,:])\n",
    "plt.figure(figsize=(16,8))\n",
    "elem=33\n",
    "plt.plot(X[elem,:])\n",
    "plt.plot(comps[0])\n",
    "plt.plot(comps[1])\n",
    "plt.plot(comps[2])\n",
    "\n",
    "weigh = W[elem]\n",
    "fitBg = np.dot(weigh, comps)\n",
    "#fitS = weigh[0] * comps[0] + weigh[1] * comps[1] + weigh[2] * comps[2]\n",
    "plt.plot(fitBg)\n",
    "\n",
    "print(np.linalg.norm(fitBg-X[elem,:]))\n",
    "\n",
    "plt.legend([\"input\",\"comp0\",\"comp1\",\"comp2\",\"fit\"])\n",
    "\n",
    "plt.figure()\n",
    "sigdat = np.abs(denoise_signal(X[elem,:] - fitBg))\n",
    "#sigdat = np.clip(denoise_signal(X[elem,:] - fitS), a_min=0, a_max=None)\n",
    "plt.plot(sigdat)\n",
    "#plt.plot(np.abs(X[elem,:] - fitS))\n",
    "\n",
    "SW = snmodel.transform(sigdat.reshape(1,-1))\n",
    "print(SW[0])\n",
    "fitS = np.dot(SW[0],snmodel.components_)\n",
    "print(np.linalg.norm(sigdat-fitS))\n",
    "plt.plot(fitS)\n",
    "plt.legend([\"input\",\"fit\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 2.34336396, 13.62492104, 38.82421615, ...,  0.18824736,\n",
       "         0.38662971,  0.69588047],\n",
       "       [ 2.23516827, 13.87444148, 39.67843242, ...,  0.19631588,\n",
       "         0.39377278,  0.68200865],\n",
       "       [ 2.41911085, 14.75766565, 42.44355955, ...,  0.2090168 ,\n",
       "         0.417065  ,  0.74074821],\n",
       "       ...,\n",
       "       [ 1.90810853, 10.27018936, 28.64053622, ...,  0.13496512,\n",
       "         0.29446484,  0.53546174],\n",
       "       [ 1.65441291, 10.16144959, 29.46983282, ...,  0.14550708,\n",
       "         0.28569811,  0.5147775 ],\n",
       "       [ 2.13556292, 12.06102455, 32.88084239, ...,  0.15719356,\n",
       "         0.35123667,  0.58583207]])"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.dot(W, comps)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "EBINS=128\n",
    "MAX_ENERGY=2500\n",
    "sdata = pd.read_csv(\"SourceInfov3/SourceData.csv\")\n",
    "source_hist = np.zeros((10,EBINS))\n",
    "for shielding in range(2):\n",
    "    for source in range(5):\n",
    "        arr = []\n",
    "        for binidx in range(EBINS):\n",
    "            energyFrom = binidx / EBINS * MAX_ENERGY\n",
    "            energyTo = (binidx + 1) / EBINS * MAX_ENERGY\n",
    "            dat = sdata[(sdata[\"Shielding\"] == shielding) & (sdata[\"SourceID\"] == source + 1) & (sdata[\"PhotonEnergy\"] > energyFrom) & (sdata[\"PhotonEnergy\"] < energyTo)]\n",
    "            arr.append(dat[\"CountRate\"].mean())\n",
    "        source_hist[shielding * 5 + source] = np.abs(denoise_signal(np.array(arr)))\n",
    "        source_hist[shielding * 5 + source] /= np.max(source_hist[shielding * 5 + source])\n",
    "    \n",
    "#sncomp = 5\n",
    "#snmodel = NMF(sncomp, init='random', random_state=0)\n",
    "#snmodel.fit(source_hist[1:6,:])\n",
    "#for i in range(sncomp):\n",
    "#    snmodel.components_[i,:] = source_hist[i+1,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f7e2b92b438>]"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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M8q1PutqNOqZcW0aVu4jEI9O4CXuBNXXbq8N9o5jZm4GPA2909+Foupdctcp9kmEZVe4iEqdmKvf7gPVmts7McsAVwKb6BmZ2NvD3wGXufjD6biZPM5V7ueIUywp4ETn5Goa7u5eAq4E7gB3ALe6+zcyuM7PLwmafBeYB3zazB81s0yQvN2s0U7mDbtghIvFoZlgGd98MbB6z75N1j98ccb8Sb7KbY1e1ZcO7MRXLzGtr6jCLiERGV6hOU8PZMplgf16Vu4jEQOE+TQ3H3OsqdxGRk03hPk0Nh2Wqlbtu2CEiMVC4T1OjE6q1yl232hORGCjcp6npMXdV7iISA4X7NA0Vy2RSRjY98SFU5S4icVK4T9NUy/2CKncRiZfCfZqmusUeqHIXkXgp3KepYeVevUJVlbuIxEDhPk0NK/eMKncRiY/CfZqardw15i4icVC4T5MqdxFJMoX7NA0Vpw73TMpImSp3EYmHwn2aGg3LmFl4ww5V7iJy8incp2lweOrKHaq32lPlLiInn8J9Gn72RB/7j+U5fcX8KdupcheRuCjcT1ChVOHTm7axdukc3nX+2inbtmVSuhOTiMRC4X6Cvv6Lp3iy7zifevuG2nTHybRn0+S1nruIxEDhfgIOHsvzhbue4M1nnsJFZyxv2F6Vu4jEReF+Av55yzMMFst84m0bmmrfpspdRGKicG9SqVzhlp5e3rC+k65lc5v6HlXuIhIXhXuTfvJ4MEPmyvPWNP09wZi7wl1ETj6Fe5Nu+tUels1r401nNh5rrwoqdw3LiMjJp3BvwoFjee7eeZB3vnr1pHdemkh7Nj3pkr/Hh0t84Js9PH5gIKpuiojUKNyb8O2ePZQrzhXnNj8kA1NX7nduP8Ad2w5w2/29UXRRRGQUhXsT/u2hfZzXtaTpE6lVU4253/7IPgB++eThlvsnIjJWJu4OvBCOHC/wq6ef45HefrY9289Th45zdKjI8eES53Yt4fe717DxrBUNL0IC+PXhQXYeGOATbzvzhPsxWeU+kC/yk8f7mJNL8+jefvoHiyyckz3h1xcRmcysCffDzw9z69ZevvvAXh7bH4xjp1PG+lPm8bJVC1k6N0cmleLOHfv5i395kFPvnMPX33suL+mcN+Xr3rnjAAAXb2j+RGpVezZNseyUK046ZbX9d+04SKFU4S83nsH1//4Y9z51mLe8bMUJv76IyGRmfLgfPJbn8z98nNu27qVQrtC9djEffevpvGbdEs5atXBcdf6Jt53JT5/o45pbHuIdX7qHr767m+6uJZO+/g+3H+C05fNYu/TEhmRg9A075uRGDvXtj+xjxYJ23vu6Lv7urse558nx4Z4vlqm4j/o+EZFmzdjkODpY4Gs/f4qv/OwpSpUKV5x7Ku9+7VrWL596pcZUyrjw9FP4zn+5gPd8/T7+8Kv3ctP7X8Or144EvLtjZvQPFvnV08/xn9/44mn1sf5We+lUMDxTKFX4yeN9vOs1a2nPpjm3a8m4cfdj+SIXf+4nHDg2TEc2TXfXYm784+4p148XEanX1AlVM9toZjvNbJeZXTvB821m9i/h8/eaWVfUHa3a1z/EZ76/nQv++4/4wo92cdEZp/DDj7yRz/zuWQ2Dvd7apXO57c8uYOXCdv7sn+/n4ECeUrnCJ773CK+//m62P3uMHz9+kHLFefMJzG2vV63cf7j9AOf9t7s461N38Pb//XMKpQpve0VQqV/wkmXsPDBA38Bw7ftu+NEuDg4M86GLXsrvda/mZ08c4m9u3157vlxxzZ8XkSk1rNzNLA3cAFwM9AL3mdkmd99e1+x9wBF3f6mZXQFcD/zBC9Hh27b28o17nuayV76ID7zxxZyxYsG0X2vJ3Bxffter+Q9f/AVXf+sBOnJpfvJ4HwvaM1z5lS10LZtL5/w2Xrl60bRev1q5/9VtD3PGivm88fROHtpzlK5lczl7zWIALnjJUgC27D7M21/5Ip4+dJyv/eIp3nnOaq55y+kAdGTT/P1Pd/Nb6ztpy6T4+Hcf4fDxAhe8ZCkXnn4KZ61ayOkr5jOvLdr/iO09OsQPHtnHk33P8/ShQZYvaOPsUxdzbtcSzlw5HzNr/CIiUrPr4AC3P7yfS16+gtNOoBidjmbS4Dxgl7vvBjCzm4HLgfpwvxz4dPj4VuD/mJm5u0fYVwDefUEXl79qFWuWzInk9c5cuYDr3/EKPnzzg6RTxt/+x5fz+pcu4w+/uoWH9hzlyvPWkEpNL8TmtweH9+INy/n8H7xqwvA9a9VC5rdn+M79vZy5cj6fvWMn2XSKj7719Fqba95yOvc8eZg/v/kBCqUK60+Zx8UblnP3zj7u3rmt1u4Vqxdy8ZnLWdc5l4d7+3ls/wBnrJjPG9Z3smpxB/1DRfYdHWLrM0e4/9dHKJQrdGTTnDK/nXPWLuZVaxaRThnP50tsemgv37l/L6WKs3RujjVL5nDPk4f53oPPArBqUQe/fUYnKxa005HLsOe5QbbsPszuvuMsnJNl6dwcnfPbWDo3x6rFHZz1ooW87EULWTY/R0c2TaniHH6+wMGBPAePDXNwYJiDA3kOHBvm6GCBfLFMsezMb8+waE6OxXOyLJqTZdGcHIs6siyem+OU+W0sX9Be+xAtV5xnjw7x9OHjPH14kKcPHQ++Dh9nz3NDFMoV0uG9bVNmZNMpOue3sXxBGysXdrB8QTsrF7bX/lyxsJ1l89ow4PDxAvv78+zrH2L/sTzHh4NzIpWKU3bHHebk0izoyLKgPcuCjgzz27PMzaWZ05Zhbi5NRy5NLp0a96Ho7gyXKhTKFTKpoF+ZlOnDs4FKxSlWKhTLTrFUoVgOjmGx7MHjcF9tu1wJ29VtlyukzGjPpmjPpGnPBl8LOkZ+7zqy6drfhbvTP1Sk98hQ+DXIvv48w6Uy7jCvPUPX0rl0LZ3LumVzWb6gjSf7nuf2h/ez+ZF97DwwgBksmZd7wcPdGuWvmb0T2Ojufxpu/zHwGne/uq7No2Gb3nD7ybDNoclet7u723t6eiL4EaJx69ZeVi3q4LVhJb2/P8/f3L6dD120vuEdlyZTKFXoeeY5zl+3dMoPiL/+t218/RdP17b/61tO4+qL1o9qs7vveT7wza1c8vKVfPC3X0JbJo27s/foEDv2DbDt2X5+vLOPB/ccBSCXTvHizrns7jtOoTx6rn0uk+JVqxcxvz3DYKHMniOD9B4ZGtWmLZPiinPX8Ke/9eLaB6m7s68/z893HeLO7Qf4+ROHGApXvezIpnn12sWcuXI+A/kSh54vcOj5YQ4fH2bf0TylysjvWTZtlCpBII61bF6ORXOCD4B0ynh+uMTRwQJHB4ujXmNsX51gcbf6Ju3ZVO0f2tqlc2jLpKg4lN2puFMoVTg4MMyB/jz7+vMcHMhTLI9+j+qHwdj905VOGR3ZNG2ZFMVyhXwpCKGJZNNGJpUKPoxSFval+sXIdgrS4X4zcAAP/nR3qj13Byc47tVjP+nzVNuMbNe3D17DR73XuOfrv7f6fqNef+S9LTw2Vv3Zqj9n3YexGWFgB+E82e9D1HKZFAvasxRKZYbCoqPenFzwgWDAQL406t9bLpOiUKpgBueuXcKlL1/BJS9fyfIF7dPuj5ltdffuhu1OZrib2VXAVQCnnnrqq5955pkT+6lmKXdnz3ND3PPkIfYcGeRDF61vag7+RA4ey9duAdiWSTNYKHHv7uc4Mlhg0ZwsS+e2ccbK4Ll6+/qHeHTvMdIp6MhmOG35PJbOa2v4foVShcFCibltmUmXZsgXy+zcP8Bj+4/x3PEi/UNFcplUrfI+ZX4bpyxoY9m8tklfw93DoC9ydLDIkcECBweG2d8/xLF8iZQZmZSxenEHXcuCQF++oO2Eqt9KxTl8vMCBY/mgSj+WZ3//EOUKrFzYHn51sHxhG/PbslhdwBowWCxzbKjIQL7EsXyRgXyR48NlhgpljhdKDBbKHB8ukS9WGC6VyaZTtIUVY1s2RS6dolRxSuUKhWqAhR9Y5Yrj7uEHU9DXciV8HH5YlasfmBaEpYX9snCbun1BG6s9Vz1MtX1ho/rnw++s21e/bXWvEe6b4L1GPV/3+iM/B+P+R1T72QiKllwmRTYd/A8nmw6OWzZtZDP12yP7Rm3Xvn9ku+JOvlhhqFAmXyqTL5Q5lq/+nhU5OlTg2FCJtkyK9myaZfNyrF48h9WLO1i9uIOFHdnasRj1v8dDx3nm8CCrFndwaYuBXi/KcH8t8Gl3f2u4/TEAd//bujZ3hG1+aWYZYD/QOdWwTNIqdxGRmaDZcG9mtsx9wHozW2dmOeAKYNOYNpuAPwkfvxP40Qsx3i4iIs1peELV3UtmdjVwB5AGvubu28zsOqDH3TcB/wB808x2Ac8RfACIiEhMmpo75+6bgc1j9n2y7nEe+L1ouyYiItOlVSFFRGYhhbuIyCykcBcRmYUU7iIis5DCXURkFmp4EdML9sZmfcB0L1FdBky6tMEMoP7HS/2Pl/rfmrXu3tmoUWzh3goz62nmCq2kUv/jpf7HS/0/OTQsIyIyCyncRURmoZka7jfG3YEWqf/xUv/jpf6fBDNyzF1ERKY2Uyt3ERGZwowL90Y3604aM1tjZneb2XYz22ZmHw73LzGzO83sifDPxXH3dTJmljazB8zs++H2uvBG6LvCG6Pn4u7jVMxskZndamaPmdkOM3vtTDn+ZvaX4e/No2Z2k5m1J/34m9nXzOxgeBOf6r4Jj7cFvhD+LA+b2Tnx9bzW14n6/9nw9+dhM/uumS2qe+5jYf93mtlb4+n1eDMq3Otu1n0JsAG40sw2xNurhkrANe6+ATgf+GDY52uBu9x9PXBXuJ1UHwZ21G1fD3ze3V8KHCG4QXqS/R3w7+5+BvBKgp8l8cffzFYBfw50u/tZBEtuV29An+Tj/w1g45h9kx3vS4D14ddVwJdOUh+n8g3G9/9O4Cx3fwXwOPAxgPDf8hXAy8Lv+WKYU7GbUeFO3c263b0AVG/WnVjuvs/d7w8fDxAEyyqCfv9j2Owfgd+Np4dTM7PVwNuAr4bbBlxEcCN0SHDfAcxsIfAGgnsO4O4Fdz/KDDn+BMtyd4R3OJsD7CPhx9/df0pwX4d6kx3vy4F/8sAWYJGZrTw5PZ3YRP139//n7qVwcwuwOnx8OXCzuw+7+1PALoKcit1MC/dVwJ667d5w34xgZl3A2cC9wHJ33xc+tR9YHlO3GvlfwF8B1bv+LgWO1v2iJ/3vYB3QB3w9HFr6qpnNZQYcf3ffC/xP4NcEod4PbGVmHf+qyY73TPw3/Z+AH4SPE9v/mRbuM5aZzQNuA/7C3Y/VPxfekjBx05bM7HeAg+6+Ne6+tCADnAN8yd3PBo4zZggmwcd/MUFluA54ETCX8cMFM05Sj3czzOzjBEOt34q7L43MtHDfC6yp214d7ks0M8sSBPu33P074e4D1f9+hn8ejKt/U3gdcJmZPU0wBHYRwfj1onCYAJL/d9AL9Lr7veH2rQRhPxOO/5uBp9y9z92LwHcI/k5m0vGvmux4z5h/02b2HuB3gD+qu0d0Yvs/08K9mZt1J0o4Rv0PwA53/1zdU/U3Ff8T4F9Pdt8acfePuftqd+8iONY/cvc/Au4muBE6JLTvVe6+H9hjZqeHu94EbGcGHH+C4ZjzzWxO+HtU7fuMOf51Jjvem4B3h7Nmzgf664ZvEsPMNhIMT17m7oN1T20CrjCzNjNbR3Bi+Fdx9HEcd59RX8ClBGernwQ+Hnd/mujv6wn+C/ow8GD4dSnB2PVdwBPAD4Elcfe1wc9xIfD98PGLCX6BdwHfBtri7l+Dvr8K6An/Dr4HLJ4pxx/4a+Ax4FHgm0Bb0o8/cBPBOYIiwf+c3jfZ8QaMYAbck8AjBDODktj/XQRj69V/w1+ua//xsP87gUvi7n/1S1eoiojMQjNtWEZERJqgcBcRmYUU7iIis5DCXURkFlK4i4jMQgp3EZFZSOEuIjILKdxFRGah/w+9g5Weo8qOQAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(source_hist[9])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "tans = pd.read_csv(\"trainingAnswers.csv\")\n",
    "sigtans = tans[tans[\"SourceID\"] != 0]\n",
    "tans = tans[tans[\"SourceID\"] == 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.random.seed(0)\n",
    "runid_list = []\n",
    "for runid in tans[\"RunID\"]:\n",
    "    runid_list.append(runid)\n",
    "np.random.shuffle(runid_list)\n",
    "runid_list_testing = runid_list[128:256]\n",
    "runid_list = runid_list[:128]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "def prepare_list(inlist,toffs=0):\n",
    "    xlist = []\n",
    "    for runid in tqdm(inlist):\n",
    "        dat = pd.read_csv(\"training/%d.csv\" % (runid), header=None)\n",
    "        dat[0]=dat[0]*1e-6\n",
    "        dat[0]=np.cumsum(dat[0])\n",
    "        d1=dat[0]\n",
    "        d2=dat[1]\n",
    "\n",
    "        bins=128\n",
    "        ebins = np.linspace(0,2500,bins+1)\n",
    "        tmax = int(d1.values[-1])\n",
    "        X = np.zeros((tmax-toffs,bins))\n",
    "\n",
    "        for i in range(tmax-toffs):\n",
    "            dind = np.argwhere((d1 > (toffs + i)) & (d1 < (toffs + i + 1))).flatten() \n",
    "            d3 = d2[dind]\n",
    "            hist = np.histogram(d3, bins=ebins)[0]\n",
    "            hist = denoise_signal(hist)\n",
    "            X[i,:] = np.abs(hist)\n",
    "        xlist.append(X)\n",
    "    xlist = np.vstack(xlist)\n",
    "    return xlist\n",
    "\n",
    "def prepare_siglist(stans, runid_list_filter=None, source_id_arg=None):\n",
    "    xlist = []\n",
    "    for row in tqdm(stans.values):\n",
    "        runid = int(row[0])\n",
    "        source_id = int(row[1])\n",
    "        source_time = row[2]\n",
    "        \n",
    "        if runid_list_filter is not None and runid not in runid_list_filter:\n",
    "            continue\n",
    "        \n",
    "        if source_id_arg is not None and source_id_arg != source_id:\n",
    "            continue\n",
    "        \n",
    "        dat = pd.read_csv(\"training/%d.csv\" % (runid), header=None)\n",
    "        dat[0]=dat[0]*1e-6\n",
    "        dat[0]=np.cumsum(dat[0])\n",
    "        d1=dat[0]\n",
    "        d2=dat[1]\n",
    "\n",
    "        bins=128\n",
    "        ebins = np.linspace(0,2500,bins+1)\n",
    "        tmax = int(d1.values[-1])\n",
    "        X = np.zeros((1,bins))\n",
    "        source_time = int(source_time-0.5)\n",
    "\n",
    "        for (i,ti) in enumerate([source_time]):\n",
    "            dind = np.argwhere((d1 > (ti)) & (d1 < (ti + 1))).flatten() \n",
    "            d3 = d2[dind]\n",
    "            hist = np.histogram(d3, bins=ebins)[0]\n",
    "            hist = denoise_signal(hist)\n",
    "            X[i,:] = np.abs(hist)\n",
    "        xlist.append(X)\n",
    "    xlist = np.vstack(xlist)\n",
    "    return xlist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 128/128 [00:35<00:00,  3.66it/s]\n",
      "100%|██████████| 128/128 [00:37<00:00,  3.44it/s]\n"
     ]
    }
   ],
   "source": [
    "xlist = prepare_list(runid_list)\n",
    "xlist_testing = prepare_list(runid_list_testing)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 4800/4800 [02:32<00:00, 31.53it/s]\n"
     ]
    }
   ],
   "source": [
    "xlist_sig = prepare_siglist(sigtans)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4800, 128)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xlist_sig.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "ncompBg = 12\n",
    "modelBg = NMF(ncompBg, init='random', random_state=0)\n",
    "modelBg.fit(xlist)\n",
    "compsBg = modelBg.components_\n",
    "modelBg1 = NMF(ncompBg+10, init='random', random_state=0)\n",
    "modelBg1.fit(xlist)\n",
    "for i in range(ncompBg):\n",
    "     modelBg1.components_[i] = modelBg.components_[i]\n",
    "for i in range(10):\n",
    "     modelBg1.components_[-10 + i] = source_hist[i]\n",
    "compsBg1 = modelBg1.components_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [],
   "source": [
    "def _cdist(dat):\n",
    "    nsz = 8\n",
    "    sz = len(dat)\n",
    "    #dat = np.abs(dat)\n",
    "    per_bin = int(sz / nsz)\n",
    "    ret = []\n",
    "    for i in range(nsz):\n",
    "        ret.append(np.linalg.norm(dat[i*per_bin:(i+1)*per_bin]))\n",
    "    print(ret)\n",
    "    return np.mean(ret)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "38.32759024253376\n",
      "37.42073670525634\n",
      "[23.02238111 29.53545424  0.          0.          0.          0.\n",
      "  3.95215604  0.          0.          5.39194726]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f8530838320>]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fileId = 105422\n",
    "dat = pd.read_csv(\"training/%d.csv\" % (fileId), header=None)\n",
    "dat[0]=dat[0]*1e-6\n",
    "dat[0]=np.cumsum(dat[0])\n",
    "d1=dat[0]\n",
    "d2=dat[1]\n",
    "\n",
    "bins=128\n",
    "ebins = np.linspace(0,2500,bins+1)\n",
    "tscale=0.25\n",
    "invtscale=1/tscale\n",
    "tmax=int(d1.values[-1]*tscale)\n",
    "X = np.zeros((tmax,bins))\n",
    "\n",
    "for i in range(tmax):\n",
    "    dind = np.argwhere((d1 > (i*invtscale)) & (d1 < (i + 1)*invtscale)).flatten() \n",
    "    d3 = d2[dind]\n",
    "    hist = np.histogram(d3, bins=ebins)[0]\n",
    "    #hist = denoise_signal(hist)\n",
    "    X[i,:] = np.abs(hist)\n",
    "\n",
    "plt.figure(figsize=(16,8))\n",
    "elem=int(42.4*tscale)\n",
    "plt.plot(ebins[:bins], X[elem,:])\n",
    "W = modelBg.transform(X)\n",
    "\n",
    "weigh = W[elem]\n",
    "fitBg = np.dot(weigh, compsBg)\n",
    "#fitS = weigh[0] * comps[0] + weigh[1] * comps[1] + weigh[2] * comps[2]\n",
    "plt.plot(ebins[:bins], fitBg)\n",
    "\n",
    "print(np.linalg.norm(fitBg-X[elem,:]))\n",
    "#print(_cdist(fitBg-X[elem,:]))\n",
    "\n",
    "plt.legend([\"input\",\"fit\"])\n",
    "\n",
    "plt.figure(figsize=(16,8))\n",
    "\n",
    "plt.plot(ebins[:bins], X[elem,:])\n",
    "W1 = modelBg1.transform(X)\n",
    "\n",
    "weigh1 = W1[elem]\n",
    "fitBg1 = np.dot(weigh1, compsBg1)\n",
    "plt.plot(ebins[:bins], fitBg1)\n",
    "\n",
    "print(np.linalg.norm(fitBg1-X[elem,:]))\n",
    "#print(_cdist(fitBg1-X[elem,:]))\n",
    "\n",
    "plt.legend([\"input\",\"fit\"])\n",
    "\n",
    "print(W1[elem, -10:])\n",
    "\n",
    "plt.figure()\n",
    "sigdat = np.abs(denoise_signal(X[elem,:] - fitBg))\n",
    "#sigdat = np.abs(X[elem,:] - fitBg)\n",
    "#sigdat = np.clip(denoise_signal(X[elem,:] - fitS), a_min=0, a_max=None)\n",
    "plt.plot(ebins[:bins], sigdat)\n",
    "#plt.plot(np.abs(X[elem,:] - fitS))\n",
    "\n",
    "#SW = snmodel.transform(sigdat.reshape(1,-1))\n",
    "#print(SW[0])\n",
    "#fitS = np.dot(SW[0],snmodel.components_)\n",
    "#print(np.linalg.norm(sigdat-fitS))\n",
    "#plt.plot(fitS)\n",
    "#plt.legend([\"input\",\"fit\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 15372/15372 [00:30<00:00, 510.30it/s]\n"
     ]
    }
   ],
   "source": [
    "varr = np.zeros((xlist_testing.shape[0], 2))\n",
    "for i in tqdm(range(xlist_testing.shape[0])):\n",
    "    weigh = modelBg.transform(xlist_testing[i].reshape(1, -1))\n",
    "    fitBg = np.dot(weigh, compsBg)\n",
    "    varr[i, 0] = np.linalg.norm(fitBg-xlist_testing[i])\n",
    "    weighS = modelBg1.transform(xlist_testing[i].reshape(1, -1))\n",
    "    fitBgS = np.dot(weighS, compsBg1)\n",
    "    varr[i, 1] = np.linalg.norm(fitBgS-xlist_testing[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "varr = np.hstack([varr, (varr[:,0] / varr[:,1]).reshape(-1, 1)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "varrpd = pd.DataFrame(data=varr)\n",
    "varrpdfilt = varrpd[varrpd[2] > 1.5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f846f2a36a0>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,8))\n",
    "plt.plot(varrpdfilt.values[:,0])\n",
    "plt.plot(varrpdfilt.values[:,1])\n",
    "plt.legend((\"bg\",\"bgsig\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,8))\n",
    "plt.hist(varrpd.values[:,0],bins=128);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,8))\n",
    "plt.hist(varrpdfilt.values[:,0],bins=128);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,8))\n",
    "plt.hist(varr[:,0] / varr[:,1],bins=128);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 4800/4800 [02:04<00:00, 38.69it/s]\n"
     ]
    }
   ],
   "source": [
    "xlist_sig = prepare_siglist(sigtans)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 4800/4800 [00:08<00:00, 534.18it/s]\n"
     ]
    }
   ],
   "source": [
    "varr_s = np.zeros((xlist_sig.shape[0], 2))\n",
    "for i in tqdm(range(xlist_sig.shape[0])):\n",
    "    weigh = modelBg.transform(xlist_sig[i].reshape(1, -1))\n",
    "    fitBg = np.dot(weigh, compsBg)\n",
    "    varr_s[i, 0] = np.linalg.norm(fitBg-xlist_sig[i])\n",
    "    weighS = modelBg1.transform(xlist_sig[i].reshape(1, -1))\n",
    "    fitBgS = np.dot(weighS, compsBg1)\n",
    "    varr_s[i, 1] = np.linalg.norm(fitBgS-xlist_sig[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f83d7c0a208>"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,8))\n",
    "plt.plot(varr_s[:,0])\n",
    "plt.plot(varr_s[:,1])\n",
    "plt.legend((\"bg\",\"bgsig\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA6gAAAHVCAYAAAD8YtYeAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAGKVJREFUeJzt3W+MZXd93/HPtx5c/qTFgFcWsWnHERbIisqfrqgREaI4rQyLsB8gYpQmFnLkJ6SBNFWyyRPUqpEWKQohaoRkYRKnovypQ2orW6VBxlHaB3GzxjT8cRCOswZb/rMpYNIghbj59sEcm/HiZc3c2b3fnXm9pNWcc+65M7+dn2eu33vOuae6OwAAALBuf2/dAwAAAIBEoAIAADCEQAUAAGAEgQoAAMAIAhUAAIARBCoAAAAjCFQAAABGEKgAAACMIFABAAAYYWPdA0iSCy+8sDc3N9c9DAAAAM6Au+666y+7+8Dp9hsRqJubmzl27Ni6hwEAAMAZUFX3P5P9nOILAADACAIVAACAEQQqAAAAIwhUAAAARhCoAAAAjCBQAQAAGEGgAgAAMIJABQAAYASBCgAAwAgCFQAAgBEEKgAAACMIVAAAAEYQqAAAAIwgUAEAABhBoAIAADCCQAUAAGAEgQoAAMAIAhUAAIARBCoAAAAjbKx7AHvJ5uGjTy4fP3JojSMBAAA495z2CGpVfbiqHq2qz2/b9sKq+lRVfXn5+IJle1XVr1fVvVX1p1X16jM5eAAAAPaOZ3KK728lueqkbYeT3N7dlyW5fVlPkjcluWz5c0OSD+7OMAEAANjrThuo3f1HSb520uark9y8LN+c5Jpt23+7t/xxkguq6sW7NVgAAAD2rp2+SdJF3f3QsvxwkouW5YuTfHXbfg8s275LVd1QVceq6tiJEyd2OAwAAAD2ipXfxbe7O0nv4Hk3dvfB7j544MCBVYcBAADAOW6ngfrIE6fuLh8fXbY/mOQl2/a7ZNkGAAAA39NOA/W2JNcty9cluXXb9p9c3s33iiSPbTsVGAAAAE7ptPdBraqPJnlDkgur6oEk701yJMknqur6JPcnefuy+39L8uYk9yb5VpJ3noExAwAAsAedNlC7+x2neOjKp9m3k7xr1UEBAACw/6z8JkkAAACwGwQqAAAAIwhUAAAARhCoAAAAjCBQAQAAGEGgAgAAMIJABQAAYASBCgAAwAgCFQAAgBEEKgAAACMIVAAAAEYQqAAAAIwgUAEAABhBoAIAADCCQAUAAGAEgQoAAMAIAhUAAIARBCoAAAAjCFQAAABGEKgAAACMIFABAAAYQaACAAAwgkAFAABgBIEKAADACAIVAACAEQQqAAAAIwhUAAAARhCoAAAAjCBQAQAAGEGgAgAAMIJABQAAYASBCgAAwAgCFQAAgBEEKgAAACMIVAAAAEYQqAAAAIwgUAEAABhBoAIAADCCQAUAAGAEgQoAAMAIAhUAAIARBCoAAAAjCFQAAABGEKgAAACMIFABAAAYQaACAAAwgkAFAABgBIEKAADACAIVAACAEQQqAAAAIwhUAAAARhCoAAAAjCBQAQAAGEGgAgAAMIJABQAAYASBCgAAwAgCFQAAgBEEKgAAACMIVAAAAEYQqAAAAIwgUAEAABhBoAIAADCCQAUAAGAEgQoAAMAIAhUAAIARBCoAAAAjCFQAAABGEKgAAACMIFABAAAYQaACAAAwgkAFAABgBIEKAADACAIVAACAEVYK1Kr62ar6QlV9vqo+WlXPrqpLq+rOqrq3qj5eVefv1mABAADYu3YcqFV1cZKfSXKwu384yXlJrk3yviTv7+6XJvl6kut3Y6AAAADsbaue4ruR5DlVtZHkuUkeSvLGJLcsj9+c5JoVvwYAAAD7wI4DtbsfTPIrSb6SrTB9LMldSb7R3Y8vuz2Q5OKne35V3VBVx6rq2IkTJ3Y6DAAAAPaIVU7xfUGSq5NcmuQHkzwvyVXP9PndfWN3H+zugwcOHNjpMAAAANgjVjnF90eT/EV3n+juv03yySSvS3LBcspvklyS5MEVxwgAAMA+sEqgfiXJFVX13KqqJFcm+WKSO5K8bdnnuiS3rjZEAAAA9oNVrkG9M1tvhvSZJJ9bPteNSX4hyb+pqnuTvCjJTbswTgAAAPa4jdPvcmrd/d4k7z1p831JXrPK5wUAAGD/WfU2MwAAALArBCoAAAAjrHSKL6e2efjoU9aPHzm0ppEAAACcGxxBBQAAYASBCgAAwAgCFQAAgBEEKgAAACMIVAAAAEYQqAAAAIwgUAEAABhBoAIAADCCQAUAAGAEgQoAAMAIAhUAAIARBCoAAAAjCFQAAABGEKgAAACMIFABAAAYYWPdA9gvNg8ffXL5+JFDaxwJAADATI6gAgAAMIJABQAAYASBCgAAwAgCFQAAgBEEKgAAACMIVAAAAEYQqAAAAIwgUAEAABhBoAIAADCCQAUAAGAEgQoAAMAIAhUAAIARBCoAAAAjCFQAAABGEKgAAACMIFABAAAYQaACAAAwgkAFAABgBIEKAADACAIVAACAEQQqAAAAIwhUAAAARhCoAAAAjCBQAQAAGEGgAgAAMIJABQAAYASBCgAAwAgCFQAAgBEEKgAAACMIVAAAAEYQqAAAAIwgUAEAABhhY90DONdtHj667iEAAADsCY6gAgAAMIJABQAAYASBCgAAwAgCFQAAgBEEKgAAACMIVAAAAEYQqAAAAIwgUAEAABhBoAIAADCCQAUAAGAEgQoAAMAIAhUAAIARBCoAAAAjCFQAAABGEKgAAACMIFABAAAYQaACAAAwgkAFAABgBIEKAADACAIVAACAEQQqAAAAI6wUqFV1QVXdUlV/VlX3VNVrq+qFVfWpqvry8vEFuzVYAAAA9q5Vj6B+IMnvd/fLk7wiyT1JDie5vbsvS3L7sg4AAADf044Dtaqen+T1SW5Kku7+dnd/I8nVSW5edrs5yTWrDhIAAIC9b5UjqJcmOZHkN6vq7qr6UFU9L8lF3f3Qss/DSS56uidX1Q1Vdayqjp04cWKFYQAAALAXrBKoG0leneSD3f2qJH+dk07n7e5O0k/35O6+sbsPdvfBAwcOrDAMAAAA9oJVAvWBJA90953L+i3ZCtZHqurFSbJ8fHS1IQIAALAf7DhQu/vhJF+tqpctm65M8sUktyW5btl2XZJbVxohAAAA+8LGis//10k+UlXnJ7kvyTuzFb2fqKrrk9yf5O0rfg0AAAD2gZUCtbs/m+Tg0zx05SqfFwAAgP1n1fugAgAAwK4QqAAAAIwgUAEAABhBoAIAADCCQAUAAGAEgQoAAMAIAhUAAIARBCoAAAAjCFQAAABGEKgAAACMIFABAAAYQaACAAAwgkAFAABgBIEKAADACAIVAACAEQQqAAAAIwhUAAAARhCoAAAAjCBQAQAAGEGgAgAAMIJABQAAYASBCgAAwAgb6x7Afrd5+OiTy8ePHFrjSAAAANbLEVQAAABGEKgAAACMIFABAAAYQaACAAAwgkAFAABgBIEKAADACAIVAACAEQQqAAAAIwhUAAAARhCoAAAAjCBQAQAAGEGgAgAAMIJABQAAYASBCgAAwAgCFQAAgBEEKgAAACNsrHsA56LNw0fX+nwAAIC9yBFUAAAARhCoAAAAjCBQAQAAGEGgAgAAMIJABQAAYASBCgAAwAgCFQAAgBEEKgAAACMIVAAAAEYQqAAAAIwgUAEAABhBoAIAADCCQAUAAGAEgQoAAMAIAhUAAIARBCoAAAAjCFQAAABGEKgAAACMIFABAAAYQaACAAAwgkAFAABgBIEKAADACAIVAACAEQQqAAAAIwhUAAAARhCoAAAAjCBQAQAAGEGgAgAAMMLGugfAd2wePvrk8vEjh9Y4EgAAgLPPEVQAAABGEKgAAACMIFABAAAYQaACAAAwwsqBWlXnVdXdVfV7y/qlVXVnVd1bVR+vqvNXHyYAAAB73W4cQX13knu2rb8vyfu7+6VJvp7k+l34GgAAAOxxKwVqVV2S5FCSDy3rleSNSW5Zdrk5yTWrfA0AAAD2h1WPoP5akp9P8nfL+ouSfKO7H1/WH0hy8dM9sapuqKpjVXXsxIkTKw4DAACAc92OA7Wq3pLk0e6+ayfP7+4bu/tgdx88cODATocBAADAHrGxwnNfl+StVfXmJM9O8g+TfCDJBVW1sRxFvSTJg6sPEwAAgL1ux0dQu/sXu/uS7t5Mcm2ST3f3jye5I8nblt2uS3LryqMEAABgz1vlCOqp/EKSj1XVf0hyd5KbzsDX2PM2Dx99cvn4kUNrHAkAAMDZsSuB2t1/mOQPl+X7krxmNz4vAAAA+8du3AcVAAAAViZQAQAAGEGgAgAAMIJABQAAYASBCgAAwAgCFQAAgBEEKgAAACMIVAAAAEYQqAAAAIwgUAEAABhBoAIAADCCQAUAAGAEgQoAAMAIAhUAAIARBCoAAAAjCFQAAABGEKgAAACMIFABAAAYQaACAAAwgkAFAABgBIEKAADACAIVAACAEQQqAAAAIwhUAAAARhCoAAAAjCBQAQAAGEGgAgAAMIJABQAAYASBCgAAwAgCFQAAgBEEKgAAACNsrHsAnN7m4aNPWT9+5NCaRgIAAHDmOIIKAADACAIVAACAEQQqAAAAIwhUAAAARhCoAAAAjCBQAQAAGEGgAgAAMIJABQAAYASBCgAAwAgCFQAAgBEEKgAAACMIVAAAAEYQqAAAAIwgUAEAABhBoAIAADCCQAUAAGAEgQoAAMAIAhUAAIARBCoAAAAjCFQAAABGEKgAAACMIFABAAAYQaACAAAwgkAFAABgBIEKAADACAIVAACAEQQqAAAAIwhUAAAARhCoAAAAjCBQAQAAGEGgAgAAMIJABQAAYASBCgAAwAgCFQAAgBEEKgAAACMIVAAAAEYQqAAAAIwgUAEAABhBoAIAADCCQAUAAGCEjXUP4FyxefjouodwWtvHePzIoTWOBAAA4Pu34yOoVfWSqrqjqr5YVV+oqncv219YVZ+qqi8vH1+we8MFAABgr1rlFN/Hk/xcd1+e5Iok76qqy5McTnJ7d1+W5PZlHQAAAL6nHQdqdz/U3Z9Zlv8qyT1JLk5ydZKbl91uTnLNqoMEAABg79uVN0mqqs0kr0pyZ5KLuvuh5aGHk1x0iufcUFXHqurYiRMndmMYAAAAnMNWDtSq+oEkv5PkPd39ze2PdXcn6ad7Xnff2N0Hu/vggQMHVh0GAAAA57iVArWqnpWtOP1Id39y2fxIVb14efzFSR5dbYgAAADsB6u8i28luSnJPd39q9seui3JdcvydUlu3fnwAAAA2C9WuQ/q65L8RJLPVdVnl22/lORIkk9U1fVJ7k/y9tWGyPfyTO7P6v6oAADAuWDHgdrd/zNJneLhK3f6eQEAANifduVdfAEAAGBVAhUAAIARBCoAAAAjCFQAAABGEKgAAACMIFABAAAYQaACAAAwgkAFAABgBIEKAADACAIVAACAETbWPQC+f5uHj657CAAAALvOEVQAAABGEKgAAACMIFABAAAYwTWo+8zJ168eP3JoTSMBAAB4KkdQAQAAGEGgAgAAMIJABQAAYASBCgAAwAgCFQAAgBEEKgAAACMIVAAAAEZwH9Q96uT7nQIAAEznCCoAAAAjCFQAAABGEKgAAACMIFABAAAYQaACAAAwgkAFAABgBIEKAADACAIVAACAEQQqAAAAIwhUAAAARhCoAAAAjCBQAQAAGGFj3QNgvTYPH31y+fiRQ2scCQAAsN85ggoAAMAIAhUAAIARBCoAAAAjCFQAAABGEKgAAACMIFABAAAYQaACAAAwgvugcka4vyoAAPD9cgQVAACAEQQqAAAAIwhUAAAARnANKk/rVNeQurYUAAA4UxxBBQAAYASBCgAAwAgCFQAAgBEEKgAAACMIVAAAAEYQqAAAAIwgUAEAABjBfVB50vZ7nO5kf/dFBQAAVuEIKgAAACMIVAAAAEYQqAAAAIzgGlRGWPV61u3Pdy0sAACcmxxBBQAAYASBCgAAwAgCFQAAgBFcg8ppPdP7o55qv1NtP1PXiro/KwAAnJscQQUAAGAEgQoAAMAIAhUAAIARBCoAAAAjeJMkxnumb9L0/X6us/3mSd68CQAAvjdHUAEAABhBoAIAADCCQAUAAGAE16Ay0pm67vRU25/p9aDP5Dm7+XlXvWZ2ndfcrtszveb3TP13cK7bD39Hnt5uzv1+++9ov/19JznXvvfn2nifqb3695pqr36/z8gR1Kq6qqq+VFX3VtXhM/E1AAAA2Ft2PVCr6rwkv5HkTUkuT/KOqrp8t78OAAAAe8uZOIL6miT3dvd93f3tJB9LcvUZ+DoAAADsIdXdu/sJq96W5Kru/qll/SeS/LPu/umT9rshyQ3L6suSfGlXB7K6C5P85boHwVOYk3nMyUzmZR5zMo85mcm8zGNO5jlX5+Qfd/eB0+20tjdJ6u4bk9y4rq9/OlV1rLsPrnscfIc5mceczGRe5jEn85iTmczLPOZknr0+J2fiFN8Hk7xk2/olyzYAAAA4pTMRqH+S5LKqurSqzk9ybZLbzsDXAQAAYA/Z9VN8u/vxqvrpJP89yXlJPtzdX9jtr3MWjD39eB8zJ/OYk5nMyzzmZB5zMpN5mceczLOn52TX3yQJAAAAduJMnOILAAAA3zeBCgAAwAgC9SRVdVVVfamq7q2qw+sez35SVR+uqker6vPbtr2wqj5VVV9ePr5g2V5V9evLPP1pVb16fSPfu6rqJVV1R1V9saq+UFXvXrablzWpqmdX1f+qqv+9zMm/W7ZfWlV3Lt/7jy9vUpeq+vvL+r3L45vrHP9eVlXnVdXdVfV7y7o5WbOqOl5Vn6uqz1bVsWWb319rVFUXVNUtVfVnVXVPVb3WnKxPVb1s+fl44s83q+o95mS9qupnl9f4z1fVR5fX/n3zmiJQt6mq85L8RpI3Jbk8yTuq6vL1jmpf+a0kV5207XCS27v7siS3L+vJ1hxdtvy5IckHz9IY95vHk/xcd1+e5Iok71p+JszL+vxNkjd29yuSvDLJVVV1RZL3JXl/d780ydeTXL/sf32Sry/b37/sx5nx7iT3bFs3JzP88+5+5bZ7Bvr9tV4fSPL73f3yJK/I1s+MOVmT7v7S8vPxyiT/NMm3kvxuzMnaVNXFSX4mycHu/uFsvenstdlHrykC9alek+Te7r6vu7+d5GNJrl7zmPaN7v6jJF87afPVSW5elm9Ocs227b/dW/44yQVV9eKzM9L9o7sf6u7PLMt/la3/kbg45mVtlu/t/11Wn7X86SRvTHLLsv3kOXlirm5JcmVV1Vka7r5RVZckOZTkQ8t6xZxM5ffXmlTV85O8PslNSdLd3+7ub8ScTHFlkj/v7vtjTtZtI8lzqmojyXOTPJR99JoiUJ/q4iRf3bb+wLKN9bmoux9alh9OctGybK7OsuWUkVcluTPmZa2WU0k/m+TRJJ9K8udJvtHdjy+7bP++Pzkny+OPJXnR2R3xvvBrSX4+yd8t6y+KOZmgk/xBVd1VVTcs2/z+Wp9Lk5xI8pvL6fAfqqrnxZxMcW2Sjy7L5mRNuvvBJL+S5CvZCtPHktyVffSaIlA5Z/TWPZHcF2kNquoHkvxOkvd09ze3P2Zezr7u/n/L6ViXZOvMj5eveUj7WlW9Jcmj3X3XusfCd/mR7n51tk5LfFdVvX77g35/nXUbSV6d5IPd/aokf53vnDqaxJysy3I941uT/JeTHzMnZ9dyve/V2foHnR9M8rx89yVwe5pAfaoHk7xk2/olyzbW55EnTh1ZPj66bDdXZ0lVPStbcfqR7v7kstm8DLCcGndHktdm6zSrjeWh7d/3J+dkefz5Sf7PWR7qXve6JG+tquPZujTkjdm6zs6crNlyJCLd/Wi2rqt7Tfz+WqcHkjzQ3Xcu67dkK1jNyfq9KclnuvuRZd2crM+PJvmL7j7R3X+b5JPZep3ZN68pAvWp/iTJZcu7ZJ2frVMdblvzmPa725Jctyxfl+TWbdt/cnk3uSuSPLbtVBR2yXINw01J7unuX932kHlZk6o6UFUXLMvPSfIvsnVt8B1J3rbsdvKcPDFXb0vy6eVfw9kl3f2L3X1Jd29m63Xj09394zEna1VVz6uqf/DEcpJ/meTz8ftrbbr74SRfraqXLZuuTPLFmJMJ3pHvnN6bmJN1+kqSK6rqucv/hz3xc7JvXlPqHB//rquqN2frWqLzkny4u395zUPaN6rqo0nekOTCJI8keW+S/5rkE0n+UZL7k7y9u7+2/MD+x2yd8vCtJO/s7mPrGPdeVlU/kuR/JPlcvnNt3S9l6zpU87IGVfVPsvVmCOdl6x8ZP9Hd/76qfihbR+9emOTuJP+qu/+mqp6d5D9l6/rhryW5trvvW8/o976qekOSf9vdbzEn67V8/393Wd1I8p+7+5er6kXx+2ttquqV2XozsfOT3JfknVl+l8WcrMXyDzhfSfJD3f3Yss3PyRrV1i3kfixbd1O4O8lPZeta033xmiJQAQAAGMEpvgAAAIwgUAEAABhBoAIAADCCQAUAAGAEgQoAAMAIAhUAAIARBCoAAAAj/H8xPolIBGHcSwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,8))\n",
    "plt.hist(varr_s[:,0],bins=256);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,8))\n",
    "plt.hist(varr_s[:,1],bins=256);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,8))\n",
    "plt.hist(varr_s[:,0] / varr_s[:,1],bins=256);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [],
   "source": [
    "varr_s = np.hstack([varr_s, (varr_s[:,0] / varr_s[:,1]).reshape(-1, 1)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [],
   "source": [
    "varrpd_s = pd.DataFrame(data=varr_s)\n",
    "varrpdfilt_s = varrpd_s[varrpd_s[2] < 1.5]\n",
    "varrpdfilt_s = varrpdfilt_s[varrpdfilt_s[0] < 50]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA6QAAAHVCAYAAADmXjaQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAFoNJREFUeJzt3W+MXfld3/HPt+sgE4ichHUjlI01qRqliipIKouGBlU0gWpbR4QHURVMUKio/ATapaJCpk8yrVTJlSoKD6pKK0iJRJyUhlAiLLWsQhCthLbdTVLlz4IS6ECz3WRBNIYiLWnabx/MtXfs9Xhm7r32d+fO6yWt5txzzzm/3z1zZnbevnfuVHcHAAAA7rc/Nz0BAAAATiZBCgAAwAhBCgAAwAhBCgAAwAhBCgAAwAhBCgAAwAhBCgAAwAhBCgAAwAhBCgAAwIhT93OwBx98sLe2tu7nkAAAANwnTz755B9299nDbn9fg3RraytPPPHE/RwSAACA+6Sqfu8o23vJLgAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACNOTU8AWIPtM3uWr8/NAwAAjsAzpAAAAIwQpAAAAIwQpAAAAIwQpAAAAIwQpAAAAIwQpAAAAIwQpAAAAIwQpAAAAIwQpAAAAIwQpAAAAIwQpAAAAIwQpAAAAIwQpAAAAIwQpAAAAIwQpAAAAIwQpAAAAIwQpAAAAIwQpAAAAIwQpAAAAIwQpAAAAIwQpAAAAIwQpAAAAIwQpAAAAIwQpAAAAIwQpAAAAIwQpAAAAIwQpAAAAIwQpAAAAIwQpAAAAIwQpAAAAIwQpAAAAIwQpAAAAIwQpAAAAIw4MEir6n1V9WxVfWbPuldW1WNV9fnFx1fc22kCAACwaQ7zDOnPJXn4tnWXk3ysu1+X5GOL2wAAAHBoBwZpd/9Gkj+6bfU7krx/sfz+JN+75nkBAACw4U4tud+ruvuZxfKXkrxqvw2r6lKSS0ly7ty5JYcDeN7W5Ws3l3euXBicCQAAq1j5TY26u5P0Xe5/tLvPd/f5s2fPrjocAAAAG2LZIP1yVX1zkiw+Pru+KQEAAHASLBukH03ynsXye5L88nqmAwAAwElxmD/78sEkv5nk9VX1xar6oSRXknx3VX0+yXctbgMAAMChHfimRt39ffvc9bY1zwUAAIATZOU3NQIAAIBlCFIAAABGCFIAAABGCFIAAABGCFIAAABGCFIAAABGCFIAAABGCFIAAABGCFIAAABGCFIAAABGCFIAAABGCFIAAABGCFIAAABGCFIAAABGCFIAAABGCFIAAABGCFIAAABGCFIAAABGCFIAAABGCFIAAABGCFIAAABGCFIAAABGCFIAAABGCFIAAABGCFIAAABGCFIAAABGCFIAAABGCFIAAABGCFIAAABGCFIAAABGCFIAAABGCFIAAABGCFJ4Mdg+s/sfAACcIIIUAACAEYIUAACAEYIUAACAEYIUAACAEYIUAACAEYIUAACAEYIUAACAEYIUAACAEYIUAACAEYIUAACAEYIUAACAEYIUAACAEYIUAACAEYIUAACAEYIUAACAEYIUAACAEYIUAACAEYIUAACAEYIUAACAEYIUAACAEYIUAACAEYIUAACAEYIUAACAEYIUAACAEYIUAACAEYIUAACAEYIUAACAEYIUAACAEYIUAACAEYIUAACAEYIUAACAEYIUAACAEYIUAACAESsFaVX9w6r6bFV9pqo+WFWn1zUxAAAANtvSQVpVr07yD5Kc7+6/nOSBJO9a18QAAADYbKu+ZPdUkq+vqlNJXprkf64+JQAAAE6CpYO0u59O8i+S/H6SZ5Jc7+5fXdfEAAAA2Gynlt2xql6R5B1JXpvkK0n+XVW9u7t//rbtLiW5lCTnzp1bYarALbbPrPVwW5ev3VzeuXLhwPVrsfcxbF9f77Hv4p4+JgAADm2Vl+x+V5L/3t1/0N3/J8lHkvy12zfq7ke7+3x3nz979uwKwwEAALBJVgnS30/y5qp6aVVVkrcleWo90wIAAGDTrfI7pI8n+XCSTyT59OJYj65pXgAAAGy4pX+HNEm6+71J3rumuQAAAHCCrPpnXwAAAGApghQAAIARghQAAIARghQAAIARghQAAIARghQAAIARghQAAIARghQAAIARghQAAIARghQAAIARghQAAIARghQAAIARghQAAIARghQAAIARghQAAIARghQAAIARghQAAIARghQAAIARghQAAIARghQAAIARghQAAIARghQAAIARghQAAIARghQAAIARghQAAIARghQAAIARghQAAIARghQAAIARghQAAIARghQAAIARghQAAIARghQAAIARp6YnAPfE9pk9y9fn5rHBti5fu7m8c+XC4EwAADiuPEMKAADACEEKAADACEEKAADACEEKAADACEEKAADACEEKAADACEEKAADACEEKAADACEEKAADACEEKAADACEEKAADACEEKAADACEEKAADACEEKAADACEEKAADACEEKAADACEEKAADACEEKAADACEEKAADACEEKAADACEEKAADACEEKAADACEEKAADACEEKAADACEEKAADACEEKAADACEEKAADACEEKAADACEEKAADACEEKAADACEEKAADACEEKAADACEEKAADACEEKAADAiJWCtKpeXlUfrqrfqqqnqurb1zUxAAAANtupFff/6ST/obvfWVVfl+Sla5gTAAAAJ8DSQVpVZ5L89SQ/mCTd/dUkX13PtAAAANh0qzxD+tokf5Dk31TVtyZ5Mskj3f2nezeqqktJLiXJuXPnVhiOTbR1+drN5Z0rFwZncpvtM3uWr9/7/dbpxhyOOO+d07uLW89dfcHdO6cvLra7y3H3jHtPPq97z21eOMe1jjHwuZv8WnjRfh0CABtvld8hPZXkryT51939piR/muTy7Rt196Pdfb67z589e3aF4QAAANgkqwTpF5N8sbsfX9z+cHYDFQAAAA60dJB295eS/I+qev1i1duSfG4tswIAAGDjrfouu38/yQcW77D7u0n+7upTAgAA4CRYKUi7+1NJzq9pLgAAAJwgq/wOKQAAACxNkAIAADBCkAIAADBCkAIAADBCkAIAADBCkAIAADBCkAIAADBCkAIAADBCkAIAADBCkAIAADBCkAIAADBCkAIAADBCkAIAADBCkAIAADBCkAIAADBCkAIAADBCkAIAADBCkAIAADBCkAIAADBCkAIAADBCkAIAADBCkAIAADBCkAIAADBCkAIAADBCkAIAADBCkAIAADBCkAIAADBCkAIAADBCkAIAADBCkAIAADBCkAIAADBCkAIAADDi1PQEOIG2z+y5cfXIu29dvnZzeefKhTVM6Plj7py+eG/nsfexb18/9FhLueU8711/93F3Tl9Mtu+y7eK4O6eTrefu/vm75VgLN/Z5wTlb9dzs2f9O81r3tbLOYx63eew3tnMDAByVZ0gBAAAYIUgBAAAYIUgBAAAYIUgBAAAYIUgBAAAYIUgBAAAYIUgBAAAYIUgBAAAYIUgBAAAYIUgBAAAYIUgBAAAYIUgBAAAYIUgBAAAYIUgBAAAYIUgBAAAYIUgBAAAYIUgBAAAYIUgBAAAYIUgBAAAYIUgBAAAYIUgBAAAYIUgBAAAYIUgBAAAYIUgBAAAYIUgBAAAYIUgBAAAYIUgBAAAYIUgBAAAYIUgBAAAYIUgBAAAYIUgBAAAYIUgBAAAYIUgBAAAYsXKQVtUDVfXJqvqVdUwIAACAk2Edz5A+kuSpNRwHAACAE2SlIK2qh5JcSPIz65kOAAAAJ8WpFff/qSQ/nuRl+21QVZeSXEqSc+fOrTgcR7V1+drN5Z0rF9Y/wPaZxcfrd7//btsccayd03tXHnzMO56Ddc5rP4sxtp67euvYt92/n/v2uTvkHNZl5/TFxfgHb3vLOTh9lw1XcC/GuNt5O/Tncslr9MbYN89zdq/Be3INrWid1/i9uFYBgHtv6WdIq+rtSZ7t7ifvtl13P9rd57v7/NmzZ5cdDgAAgA2zykt235Lke6pqJ8mHkry1qn5+LbMCAABg4y0dpN39E939UHdvJXlXkl/r7nevbWYAAABsNH+HFAAAgBGrvqlRkqS7fz3Jr6/jWAAAAJwMniEFAABghCAFAABghCAFAABghCAFAABghCAFAABghCAFAABghCAFAABghCAFAABghCAFAABghCAFAABghCAFAABghCAFAABghCAFAABghCAFAABghCAFAABghCAFAABghCAFAABghCAFAABghCAFAABghCAFAABghCAFAABghCAFAABghCAFAABghCAFAABghCAFAABghCAFAABghCAFAABghCAFAABghCAFAABghCAFAABghCAFAABghCAFAABgxKnpCbAm22eSJFvPXc3OlQtrP262rx99n9tsXb6WJNk5/fy6ndMX92xxhDGOMO4tY22veNw7nIfDHnfr8rVbHvt+29xy3JvjPj/+nc7jtFse2/aZ+zu3O3ze9567reeu7n7c79wecMwb+9/Y78Zj27v+TvYdY/v5/W9+rS7O2UHH3Pf423vveeEx9l6jB46x39fRAdf+3Y57y7nf7/vTAV9nBx13FYea34vE7Y/5fs73OJ0nAI4Pz5ACAAAwQpACAAAwQpACAAAwQpACAAAwQpACAAAwQpACAAAwQpACAAAwQpACAAAwQpACAAAwQpACAAAwQpACAAAwQpACAAAwQpACAAAwQpACAAAwQpACAAAwQpACAAAwQpACAAAwQpACAAAwQpACAAAwQpACAAAwQpACAAAwQpACAAAwQpACAAAwQpACAAAwQpACAAAwQpACAAAwQpACAAAwQpACAAAwQpACAAAwQpACAAAwQpACAAAwQpACAAAwQpACAAAwYukgrarXVNXHq+pzVfXZqnpknRMDAABgs51aYd+vJfmx7v5EVb0syZNV9Vh3f25NcwMAAGCDLf0MaXc/092fWCz/SZKnkrx6XRMDAABgs63yDOlNVbWV5E1JHr/DfZeSXEqSc+fOrWO4F4ftM3uWr9/1/q3nrt5c3rly4cjH3bp8LTunL75wrL3bHsWN/fY71p0ez35zPMJcbj6GfWxdvvbCbQ+ayxrsHfdAex7nzun1z+Uo52hpR7huDprPQfffK1PjvmAO27nl63Sp/W9fl7xg/Y1j71y5sPzX/UFzWbO937d2Tt/6fXCdboxx1OOv5WvpgOPu9/3+qNusc+x1uZ9jvVgt83k8qecK4G5WflOjqvrGJL+Y5Ee7+49vv7+7H+3u8919/uzZs6sOBwAAwIZYKUir6iXZjdEPdPdH1jMlAAAAToJV3mW3kvxskqe6+yfXNyUAAABOglWeIX1Lkh9I8taq+tTiv7+9pnkBAACw4ZZ+U6Pu/s9Jao1zAQAA4ARZ+U2NAAAAYBmCFAAAgBGCFAAAgBGCFAAAgBGCFAAAgBGCFAAAgBGCFAAAgBGCFAAAgBGCFAAAgBGCFAAAgBGCFAAAgBGCFAAAgBGCFAAAgBGCFAAAgBGCFAAAgBGCFAAAgBGCFAAAgBGCFAAAgBGCFAAAgBGCFAAAgBGCFAAAgBGCFAAAgBGCFAAAgBGCFAAAgBGCFAAAgBGCFAAAgBGCFAAAgBGCFAAAgBGCFAAAgBGCFAAAgBGCFAAAgBGCFAAAgBGnpifworJ9Zs/y9eX2O+IYW5evZef0xbWNtXP6YrK99/befQ93rK3L1164/1Ee45LueB4OGvc+zGtVR/r83sdjvajd/LxeXdshlz13B+63mOstX2trdnMO20fYdsn797P3+8Iy7vQY9jtnN8bad65H+P58p3nvnL54c+yt567esv4w53hfe+Z1y7HuMN9bzsfd7r9tjrc7zOdlv212rly44zY31x/y/4m3H/9O+289d/Xg8e7kxjH2Gf9uxznMGPttc+j5HdG9Ou4q1jWne3UuX4zn7Ng54Otoks/v4Wz6efIMKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACMEKQAAACNWCtKqeriqfruqvlBVl9c1KQAAADbf0kFaVQ8k+VdJ/laSNyT5vqp6w7omBgAAwGZb5RnSb0vyhe7+3e7+apIPJXnHeqYFAADApqvuXm7Hqncmebi7/97i9g8k+avd/SO3bXcpyaXFzdcn+e3lpwv3zYNJ/nB6ErAmrmc2ieuZTeOaZpM8mOQbuvvsYXc4dQ8nkyTp7keTPHqvx4F1qqonuvv89DxgHVzPbBLXM5vGNc0mWVzPW0fZZ5WX7D6d5DV7bj+0WAcAAAAHWiVI/2uS11XVa6vq65K8K8lH1zMtAAAANt3SL9nt7q9V1Y8k+Y9JHkjyvu7+7NpmBrO8zJxN4npmk7ie2TSuaTbJka/npd/UCAAAAFaxykt2AQAAYGmCFAAAgBGClBOvqt5XVc9W1Wf2rHtlVT1WVZ9ffHzF5BzhsKrqNVX18ar6XFV9tqoeWax3TXPsVNXpqvovVfXfFtfzP1msf21VPV5VX6iqf7t4c0U4Fqrqgar6ZFX9yuK265ljqap2qurTVfWpqnpise7IP28IUkh+LsnDt627nORj3f26JB9b3Ibj4GtJfqy735DkzUl+uKreENc0x9OfJXlrd39rkjcmebiq3pzknyf5l939F5P8ryQ/NDhHOKpHkjy157brmePsb3T3G/f8Ld0j/7whSDnxuvs3kvzRbavfkeT9i+X3J/ne+zopWFJ3P9Pdn1gs/0l2f+h5dVzTHEO9638vbr5k8V8neWuSDy/Wu545NqrqoSQXkvzM4nbF9cxmOfLPG4IU7uxV3f3MYvlLSV41ORlYRlVtJXlTksfjmuaYWry88VNJnk3yWJLfSfKV7v7aYpMvZvcfXeA4+KkkP57k/y1uf1NczxxfneRXq+rJqrq0WHfknzeW/jukcFJ0d1eVv4/EsVJV35jkF5P8aHf/8e4/wu9yTXOcdPf/TfLGqnp5kl9K8peGpwRLqaq3J3m2u5+squ+cng+swXd099NV9eeTPFZVv7X3zsP+vOEZUrizL1fVNyfJ4uOzw/OBQ6uql2Q3Rj/Q3R9ZrHZNc6x191eSfDzJtyd5eVXd+Ef1h5I8PTYxOLy3JPmeqtpJ8qHsvlT3p+N65pjq7qcXH5/N7j8YfluW+HlDkMKdfTTJexbL70nyy4NzgUNb/D7SzyZ5qrt/cs9drmmOnao6u3hmNFX19Um+O7u/F/3xJO9cbOZ65ljo7p/o7oe6eyvJu5L8Wnd/f1zPHENV9Q1V9bIby0n+ZpLPZImfN6rbq7Y42arqg0m+M8mDSb6c5L1J/n2SX0hyLsnvJfk73X37Gx/Bi05VfUeS/5Tk03n+d5T+cXZ/j9Q1zbFSVd+S3TfFeCC7/4j+C939T6vqL2T3GaZXJvlkknd395/NzRSOZvGS3X/U3W93PXMcLa7bX1rcPJXkanf/s6r6phzx5w1BCgAAwAgv2QUAAGCEIAUAAGCEIAUAAGCEIAUAAGCEIAUAAGCEIAUAAGCEIAUAAGDE/wdDLjJE316zuQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,8))\n",
    "plt.hist(varrpdfilt_s[0],bins=256);\n",
    "plt.hist(varrpdfilt_s[1],bins=256);\n",
    "#plt.plot(varrpdfilt_s[0])\n",
    "#plt.plot(varrpdfilt_s[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA6IAAAHVCAYAAADrQEbXAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAF7ZJREFUeJzt3X+s5fld1/HX271tZGlDi3ut2N3r3ZB2tSANeJVqUfoDddshrCaYtNpSas0kCrWYah0w2j+IyaiIYBDJpF0XY7PVlBWqo9gNUldDW+iWbXfbLdC0Y9lSXEqNEFDrpm//mKtshztz75xz5n3uPffxSDZ7z/d8z/2+73zmznyf8z33nOruAAAAwJTfse4BAAAAOF2EKAAAAKOEKAAAAKOEKAAAAKOEKAAAAKOEKAAAAKOEKAAAAKOEKAAAAKOEKAAAAKO2Jg92yy239O7u7uQhAQAAGPLggw9+pru3D9tvNER3d3fz/ve/f/KQAAAADKmq/3qU/Tw1FwAAgFFCFAAAgFFCFAAAgFFCFAAAgFFCFAAAgFFCFAAAgFFCFAAAgFFCFAAAgFFCFAAAgFFCFAAAgFFCFAAAgFFCFAAAgFFCFAAAgFFCFAAAgFFCFAAAgFFCFAAAgFFCFAAAgFFCFAAAgFFCFAAAgFFb6x7gpNg9d/HA7ZfOn1npYwAAADadK6IAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMOjREq+ruqnq8qh65Yvvrq+qjVfXhqvr7N25EAAAANslRrojek+TOJ2+oqhcnuSvJ87v7K5J8z+pHAwAAYBMdGqLd/UCSz16x+S8nOd/d/3t/n8dvwGwAAABsoK0FH/fcJH+8qv5ukv+V5K93988ctGNVnU1yNkl2dnYWPByrtHvu4oHbL50/MzwJAABwGi36YkVbSb40yQuS/I0k/6qq6qAdu/tCd+9199729vaChwMAAGBTLBqijyW5ry/76SSfT3LL6sYCAABgUy0aoj+a5MVJUlXPTfLUJJ9Z1VAAAABsrkN/RrSq7k3yoiS3VNVjSd6c5O4kd++/pcvnkrymu/tGDgoAAMBmODREu/uVV7nrVSueBQAAgFNg0afmAgAAwEKEKAAAAKOEKAAAAKOEKAAAAKOEKAAAAKOEKAAAAKOEKAAAAKOEKAAAAKOEKAAAAKOEKAAAAKOEKAAAAKOEKAAAAKOEKAAAAKOEKAAAAKOEKAAAAKOEKAAAAKOEKAAAAKOEKAAAAKO21j3AcbN77uK6RwAAANhorogCAAAwSogCAAAwSogCAAAwSogCAAAwSogCAAAwSogCAAAwSogCAAAwSogCAAAwSogCAAAwSogCAAAwSogCAAAwSogCAAAwSogCAAAwSogCAAAwSogCAAAwSogCAAAwSogCAAAwSogCAAAwSogCAAAwSogCAAAw6tAQraq7q+rxqnrkgPveWFVdVbfcmPEAAADYNEe5InpPkjuv3FhVtyX5U0k+ueKZAAAA2GCHhmh3P5Dkswfc9Y+SvClJr3ooAAAANtdCPyNaVXcl+VR3f3DF8wAAALDhtq73AVV1c5LvyuWn5R5l/7NJzibJzs7O9R4OFrJ77uKB2y+dPzM8CQAAcKVFroh+eZLbk3ywqi4luTXJB6rq9xy0c3df6O697t7b3t5efFIAAAA2wnVfEe3uh5P87v93ez9G97r7MyucCwAAgA11lLdvuTfJe5LcUVWPVdXrbvxYAAAAbKpDr4h29ysPuX93ZdMAAACw8RZ61VwAAABYlBAFAABglBAFAABglBAFAABglBAFAABglBAFAABglBAFAABglBAFAABglBAFAABglBAFAABglBAFAABglBAFAABglBAFAABglBAFAABglBAFAABglBAFAABglBAFAABglBAFAABglBAFAABg1Na6B4DD7J67eOD2S+fPDE8CAACsgiuiAAAAjBKiAAAAjBKiAAAAjBKiAAAAjBKiAAAAjBKiAAAAjBKiAAAAjBKiAAAAjBKiAAAAjBKiAAAAjBKiAAAAjBKiAAAAjBKiAAAAjBKiAAAAjBKiAAAAjBKiAAAAjBKiAAAAjBKiAAAAjBKiAAAAjBKiAAAAjDo0RKvq7qp6vKoeedK2f1BVH62qD1XVv66qZ9zYMQEAANgUR7kiek+SO6/Ydn+Sr+zur0ry80m+c8VzAQAAsKEODdHufiDJZ6/Y9q7ufmL/5nuT3HoDZgMAAGADba3gc/zFJP/yandW1dkkZ5NkZ2dnBYc7nXbPXTxw+6XzZ65r/+PsJM4MAABcv6VerKiq/laSJ5K87Wr7dPeF7t7r7r3t7e1lDgcAAMAGWPiKaFV9a5JvTPLS7u6VTQQAAMBGWyhEq+rOJG9K8vXd/ZurHQkAAIBNdpS3b7k3yXuS3FFVj1XV65L8QJKnJ7m/qh6qqh+6wXMCAACwIQ69Itrdrzxg81tvwCwAAACcAku9WBEAAABcLyEKAADAKCEKAADAKCEKAADAKCEKAADAKCEKAADAKCEKAADAKCEKAADAKCEKAADAKCEKAADAKCEKAADAKCEKAADAKCEKAADAKCEKAADAKCEKAADAKCEKAADAKCEKAADAKCEKAADAKCEKAADAqK11D3Aa7Z67eOD2S+fPDE9yNFebNzm+MwMAAMeXK6IAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMOjREq+ruqnq8qh550rYvrar7q+oX9v//zBs7JgAAAJviKFdE70ly5xXbziX5ie5+TpKf2L8NAAAAhzo0RLv7gSSfvWLzXUl+eP/jH07yZ1Y8FwAAABtqa8HHPau7P73/8S8nedbVdqyqs0nOJsnOzs6Ch2PC7rmL6x5hba71tV86f2ZwEgAA2HxLv1hRd3eSvsb9F7p7r7v3tre3lz0cAAAAJ9yiIfrfqurLkmT//4+vbiQAAAA22aIh+s4kr9n/+DVJfmw14wAAALDpjvL2LfcmeU+SO6rqsap6XZLzSf5kVf1Ckm/Yvw0AAACHOvTFirr7lVe566UrngUAAIBTYOkXKwIAAIDrIUQBAAAYJUQBAAAYJUQBAAAYJUQBAAAYJUQBAAAYJUQBAAAYJUQBAAAYJUQBAAAYJUQBAAAYJUQBAAAYJUQBAAAYJUQBAAAYJUQBAAAYJUQBAAAYJUQBAAAYJUQBAAAYJUQBAAAYJUQBAAAYtbXuAWBRu+curnsEAABgAa6IAgAAMEqIAgAAMEqIAgAAMEqIAgAAMEqIAgAAMEqIAgAAMEqIAgAAMEqIAgAAMEqIAgAAMEqIAgAAMEqIAgAAMEqIAgAAMEqIAgAAMEqIAgAAMEqIAgAAMEqIAgAAMEqIAgAAMEqIAgAAMEqIAgAAMEqIAgAAMGqpEK2qv1ZVH66qR6rq3qr6nasaDAAAgM20cIhW1bOT/NUke939lUluSvKKVQ0GAADAZlr2qblbSb6oqraS3Jzkl5YfCQAAgE22tegDu/tTVfU9ST6Z5H8meVd3v+vK/arqbJKzSbKzs7Po4U6F3XMX1z0CAADADbfMU3OfmeSuJLcn+b1JvriqXnXlft19obv3untve3t78UkBAADYCMs8Nfcbknyiu3+lu/9PkvuS/LHVjAUAAMCmWiZEP5nkBVV1c1VVkpcmeXQ1YwEAALCpFg7R7n5fknck+UCSh/c/14UVzQUAAMCGWvjFipKku9+c5M0rmgUAAIBTYNm3bwEAAIDrIkQBAAAYJUQBAAAYJUQBAAAYJUQBAAAYJUQBAAAYJUQBAAAYJUQBAAAYJUQBAAAYJUQBAAAYJUQBAAAYJUQBAAAYJUQBAAAYJUQBAAAYJUQBAAAYJUQBAAAYJUQBAAAYJUQBAAAYtbXuAVjO7rmL6x4Bbpir/f6+dP7Mde1/rccAADDPFVEAAABGCVEAAABGCVEAAABGCVEAAABGCVEAAABGCVEAAABGCVEAAABGCVEAAABGCVEAAABGCVEAAABGCVEAAABGCVEAAABGCVEAAABGCVEAAABGCVEAAABGCVEAAABGCVEAAABGCVEAAABGCVEAAABGCVEAAABGLRWiVfWMqnpHVX20qh6tqj+6qsEAAADYTFtLPv77k/x4d39zVT01yc0rmAkAAIANtnCIVtWXJPkTSb41Sbr7c0k+t5qxAAAA2FTLPDX39iS/kuSfVdXPVtVbquqLVzQXAAAAG2qZp+ZuJfmaJK/v7vdV1fcnOZfkbz95p6o6m+Rskuzs7CxxuONp99zFdY+wVtf79V86f+YGTXI0E+t1rWOs++sHAIDjYJkroo8leay737d/+x25HKZfoLsvdPded+9tb28vcTgAAAA2wcIh2t2/nOQXq+qO/U0vTfKRlUwFAADAxlr2VXNfn+Rt+6+Y+/Ekr11+JAAAADbZUiHa3Q8l2VvRLAAAAJwCy/yMKAAAAFw3IQoAAMAoIQoAAMAoIQoAAMAoIQoAAMAoIQoAAMAoIQoAAMAoIQoAAMAoIQoAAMAoIQoAAMAoIQoAAMAoIQoAAMAoIQoAAMAoIQoAAMAoIQoAAMAoIQoAAMAoIQoAAMAoIQoAAMAoIQoAAMCorXUPAKfJ7rmLB26/dP7M8CQAALA+rogCAAAwSogCAAAwSogCAAAwSogCAAAwSogCAAAwSogCAAAwSogCAAAwSogCAAAwSogCAAAwSogCAAAwSogCAAAwSogCAAAwSogCAAAwSogCAAAwSogCAAAwSogCAAAwSogCAAAwSogCAAAwSogCAAAwSogCAAAwaukQraqbqupnq+rfrmIgAAAANtsqroi+IcmjK/g8AAAAnAJLhWhV3ZrkTJK3rGYcAAAANt3Wko//viRvSvL0q+1QVWeTnE2SnZ2dJQ/HSbd77uK6R7huJ3Hm63W1r/HS+TNrOzYAAJtr4SuiVfWNSR7v7gevtV93X+juve7e297eXvRwAAAAbIhlnpr7wiTfVFWXkrw9yUuq6l+sZCoAAAA21sIh2t3f2d23dvduklck+Y/d/aqVTQYAAMBG8j6iAAAAjFr2xYqSJN397iTvXsXnAgAAYLO5IgoAAMAoIQoAAMAoIQoAAMAoIQoAAMAoIQoAAMAoIQoAAMAoIQoAAMAoIQoAAMAoIQoAAMAoIQoAAMAoIQoAAMAoIQoAAMAoIQoAAMAoIQoAAMAoIQoAAMAoIQoAAMAoIQoAAMAoIQoAAMAoIQoAAMCorXUPACxm99zFtR3j0vkzK/tcx9kqv34AAH6LK6IAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMEqIAAACMWjhEq+q2qvrJqvpIVX24qt6wysEAAADYTFtLPPaJJG/s7g9U1dOTPFhV93f3R1Y0GwAAABto4Sui3f3p7v7A/se/nuTRJM9e1WAAAABspmWuiP5/VbWb5KuTvO+A+84mOZskOzs7qzgcnBq75y6ue4SNcbVfy0vnz9zwY1zrOIus8cTMJ+0YAMDJsvSLFVXV05L8SJLv6O5fu/L+7r7Q3Xvdvbe9vb3s4QAAADjhlgrRqnpKLkfo27r7vtWMBAAAwCZb5lVzK8lbkzza3d+7upEAAADYZMtcEX1hklcneUlVPbT/38tXNBcAAAAbauEXK+ru/5KkVjgLAAAAp8DSL1YEAAAA10OIAgAAMEqIAgAAMEqIAgAAMEqIAgAAMEqIAgAAMEqIAgAAMEqIAgAAMEqIAgAAMEqIAgAAMEqIAgAAMEqIAgAAMEqIAgAAMEqIAgAAMEqIAgAAMEqIAgAAMEqIAgAAMEqIAgAAMGpr3QMAye65i+se4bqse95VHn+Rz3XSvv5L58/coEmWc62vY5UzX+04ixxjlWt/XNflei3yazLxtU/9/lq3Vf7+XqXjOhecFKfhe8gVUQAAAEYJUQAAAEYJUQAAAEYJUQAAAEYJUQAAAEYJUQAAAEYJUQAAAEYJUQAAAEYJUQAAAEYJUQAAAEYJUQAAAEYJUQAAAEYJUQAAAEYJUQAAAEYJUQAAAEYJUQAAAEYJUQAAAEYJUQAAAEYJUQAAAEYJUQAAAEYJUQAAAEYtFaJVdWdV/VxVfayqzq1qKAAAADbXwiFaVTcl+SdJXpbkeUleWVXPW9VgAAAAbKZlroj+kSQf6+6Pd/fnkrw9yV2rGQsAAIBNVd292AOrvjnJnd39l/ZvvzrJ13b3t1+x39kkZ/dv3pHk5xYfd8QtST6z7iG4Jmt0Mlink8E6HX/W6GSwTieDdToZrNPxd601+n3dvX3YJ9ha7Ty/XXdfSHLhRh9nVarq/d29t+45uDprdDJYp5PBOh1/1uhksE4ng3U6GazT8beKNVrmqbmfSnLbk27fur8NAAAArmqZEP2ZJM+pqtur6qlJXpHknasZCwAAgE218FNzu/uJqvr2JP8hyU1J7u7uD69ssvU5MU8jPsWs0clgnU4G63T8WaOTwTqdDNbpZLBOx9/Sa7TwixUBAADAIpZ5ai4AAABcNyEKAADAqFMZolV1d1U9XlWPXOX+qqp/XFUfq6oPVdXXTM942h1hjf7C/to8XFU/VVXPn56Rw9fpSfv94ap6Yv/9hxl2lHWqqhdV1UNV9eGq+k+T83HZEf7c+5Kq+jdV9cH9dXrt9IynXVXdVlU/WVUf2V+DNxywj3OINTviOjmPWLOjrNOT9nUesQZHXaNFzyFOZYgmuSfJnde4/2VJnrP/39kk/3RgJr7QPbn2Gn0iydd39x9M8t3xQ+3rck+uvU6pqpuS/L0k75oYiAPdk2usU1U9I8kPJvmm7v6KJH9uaC6+0D259vfTtyX5SHc/P8mLkvzD/VetZ84TSd7Y3c9L8oIk31ZVz7tiH+cQ63eUdXIesX5HWSfnEet16Botcw5xKkO0ux9I8tlr7HJXkn/el703yTOq6stmpiM5fI26+6e6+7/v33xvLr+PLcOO8L2UJK9P8iNJHr/xE3GQI6zTn09yX3d/cn9/a7UGR1inTvL0qqokT9vf94mJ2bisuz/d3R/Y//jXkzya5NlX7OYcYs2Osk7OI9bviN9PifOItTniGi18DnEqQ/QInp3kF590+7Ec/I3B8fC6JP9+3UPw21XVs5P82bgicNw9N8kzq+rdVfVgVX3LugfiQD+Q5A8k+aUkDyd5Q3d/fr0jnV5VtZvkq5O874q7nEMcI9dYpydzHrFmV1sn5xHHxzW+lxY+h1j4fUThOKiqF+fyXyBft+5ZOND3Jfmb3f35yxdxOKa2kvyhJC9N8kVJ3lNV7+3un1/vWFzhTyd5KMlLknx5kvur6j9396+td6zTp6qelstXaL7Dr//xdZR1ch6xfoesk/OIY+CQNVr4HEKIHuxTSW570u1b97dxjFTVVyV5S5KXdfevrnseDrSX5O37f3nckuTlVfVEd//oesfiCo8l+dXu/o0kv1FVDyR5fhIhery8Nsn5vvwG4B+rqk8k+f1Jfnq9Y50uVfWUXD4he1t333fALs4hjoEjrJPziGPgCOvkPGLNjrBGC59DeGruwd6Z5Fv2X/nuBUn+R3d/et1D8VuqaifJfUle7arN8dXdt3f3bnfvJnlHkr/iL49j6ceSfF1VbVXVzUm+Npd/DoTj5ZO5/C/OqapnJbkjycfXOtEps//zuW9N8mh3f+9VdnMOsWZHWSfnEet3lHVyHrFeR/wzb+FziFN5RbSq7s3lVxy8paoeS/LmJE9Jku7+oST/LsnLk3wsyW/m8r9CM+gIa/R3kvyuJD+4/69kT3T33nqmPb2OsE4cA4etU3c/WlU/nuRDST6f5C3dfc235GH1jvD99N1J7qmqh5NULj9d7TNrGve0emGSVyd5uKoe2t/2XUl2EucQx8hR1sl5xPodZZ1Yr0PXaJlziLr8DB8AAACY4am5AAAAjBKiAAAAjBKiAAAAjBKiAAAAjBKiAAAAjBKiAAAAjBKiAAAAjPq/j4zayxfopucAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "varrpd_s = pd.DataFrame(data=varr_s)\n",
    "varrpdfilt_s = varrpd_s[varrpd_s[0] < 10]\n",
    "plt.figure(figsize=(16,8))\n",
    "plt.hist(varrpdfilt_s[2],bins=128);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 1/1 [00:00<00:00,  9.45it/s]\n",
      "100%|██████████| 47/47 [00:00<00:00, 508.42it/s]\n"
     ]
    }
   ],
   "source": [
    "sslist = prepare_list([108001])\n",
    "svarr_s = np.zeros((sslist.shape[0], 2))\n",
    "for i in tqdm(range(sslist.shape[0])):\n",
    "    weigh = modelBg.transform(sslist[i].reshape(1, -1))\n",
    "    fitBg = np.dot(weigh, compsBg)\n",
    "    svarr_s[i, 0] = np.linalg.norm(fitBg-sslist[i])\n",
    "    weighS = modelBg1.transform(sslist[i].reshape(1, -1))\n",
    "    fitBgS = np.dot(weighS, compsBg1)\n",
    "    svarr_s[i, 1] = np.linalg.norm(fitBgS-sslist[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f83d7b552b0>]"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,8))\n",
    "plt.plot(svarr_s[:,0])\n",
    "plt.plot(svarr_s[:,1])\n",
    "plt.legend((\"sig\",\"sig1\"))\n",
    "\n",
    "plt.figure(figsize=(16,8))\n",
    "plt.plot(svarr_s[:,0] / svarr_s[:,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {},
   "outputs": [],
   "source": [
    "fndat = pd.read_csv(\"fn.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 4800/4800 [00:08<00:00, 587.81it/s]\n",
      "100%|██████████| 377/377 [00:00<00:00, 512.16it/s]\n"
     ]
    }
   ],
   "source": [
    "#sslist = prepare_list(fndat[\"RunID\"],toffs=30)\n",
    "sslist = prepare_siglist(sigtans, list(fndat[\"RunID\"]))\n",
    "svarr_s = np.zeros((sslist.shape[0], 3))\n",
    "for i in tqdm(range(sslist.shape[0])):\n",
    "    weigh = modelBg.transform(sslist[i].reshape(1, -1))\n",
    "    fitBg = np.dot(weigh, compsBg)\n",
    "    svarr_s[i, 0] = np.linalg.norm(fitBg-sslist[i])\n",
    "    weighS = modelBg1.transform(sslist[i].reshape(1, -1))\n",
    "    fitBgS = np.dot(weighS, compsBg1)\n",
    "    svarr_s[i, 1] = np.linalg.norm(fitBgS-sslist[i])\n",
    "    svarr_s[i, 2] = svarr_s[i, 0] / svarr_s[i, 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "metadata": {},
   "outputs": [],
   "source": [
    "svarrpd_s = pd.DataFrame(data=svarr_s,columns=None)\n",
    "svarrpd_ss = svarrpd_s[svarrpd_s[0] < 100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f83d6651358>"
      ]
     },
     "execution_count": 226,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,8))\n",
    "plt.plot(svarrpd_ss[0])\n",
    "plt.plot(svarrpd_ss[1])\n",
    "plt.legend((\"sig\",\"sig1\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 248,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,8))\n",
    "plt.hist(svarrpd_ss[0],bins=128);\n",
    "plt.hist(svarrpd_ss[svarrpd_ss[2] > 2.0][0],bins=128);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 245,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,8))\n",
    "plt.hist(svarrpd_ss[2],bins=64);\n",
    "plt.hist(svarrpd_ss[svarrpd_ss[0] < 30][2],bins=64);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 238,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "220"
      ]
     },
     "execution_count": 238,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sum(svarrpd_ss[2] < 1.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "submission = pd.read_csv(\"submission.csv\")\n",
    "gtruth = pd.read_csv(\"trainingAnswers.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "export_data = pd.read_csv(\"export.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f27e05a3828>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,8))\n",
    "plt.hist(export_data[(export_data[\"source\"] == 6) & (export_data[\"snr\"] < 3) & (export_data[\"issmooth\"] == 0)][\"snr\"],bins=128);\n",
    "plt.hist(export_data[(export_data[\"source\"] == 6) & (export_data[\"snr\"] < 3) & (export_data[\"issmooth\"] == 1)][\"snr\"],bins=128);\n",
    "plt.legend((\"sm0\",\"sm1\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f27df1f14a8>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,8))\n",
    "plt.hist(export_data[(export_data[\"source\"] == 1) & (export_data[\"snr\"] < 311) & (export_data[\"issmooth\"] == 0)][\"sresbgs\"],bins=128);\n",
    "plt.hist(export_data[(export_data[\"source\"] == 1) & (export_data[\"snr\"] < 311) & (export_data[\"issmooth\"] == 1)][\"sresbgs\"],bins=128);\n",
    "plt.legend((\"sm0\",\"sm1\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "submission = submission[submission[\"SourceID\"] == 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "gtruth = gtruth[gtruth[\"SourceID\"] != 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "fndat = submission.merge(gtruth, on=\"RunID\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1/95\n",
      "2/56\n",
      "3/25\n",
      "4/20\n",
      "5/24\n",
      "6/30\n"
     ]
    }
   ],
   "source": [
    "for i in range(1,7): \n",
    "    print(\"%d/%d\" % (i,fndat[fndat[\"SourceID_y\"] == i].shape[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "fndat1 = fndat[fndat[\"SourceID_y\"] == 1]\n",
    "export_data1 = export_data[export_data[\"source\"] == 1]\n",
    "dat1 = fndat1.merge(export_data1, left_on=\"RunID\", right_on=\"runid\")\n",
    "fndat2 = fndat[fndat[\"SourceID_y\"] == 2]\n",
    "export_data2 = export_data[export_data[\"source\"] == 2]\n",
    "dat2 = fndat2.merge(export_data2, left_on=\"RunID\", right_on=\"runid\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RunID</th>\n",
       "      <th>SourceID_x</th>\n",
       "      <th>SourceTime_x</th>\n",
       "      <th>SourceID_y</th>\n",
       "      <th>SourceTime_y</th>\n",
       "      <th>runid</th>\n",
       "      <th>snr</th>\n",
       "      <th>ti</th>\n",
       "      <th>source</th>\n",
       "      <th>toffs</th>\n",
       "      <th>sresbgs</th>\n",
       "      <th>issmooth</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>105185</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>50.5</td>\n",
       "      <td>105185</td>\n",
       "      <td>1.217237</td>\n",
       "      <td>50.50</td>\n",
       "      <td>1</td>\n",
       "      <td>0.125</td>\n",
       "      <td>8.888690</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>105187</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>63.9</td>\n",
       "      <td>105187</td>\n",
       "      <td>1.142599</td>\n",
       "      <td>62.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.500</td>\n",
       "      <td>22.388089</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>104932</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>45.2</td>\n",
       "      <td>104932</td>\n",
       "      <td>1.120470</td>\n",
       "      <td>45.50</td>\n",
       "      <td>1</td>\n",
       "      <td>0.250</td>\n",
       "      <td>20.272859</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>105333</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>48.3</td>\n",
       "      <td>105333</td>\n",
       "      <td>1.242606</td>\n",
       "      <td>44.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.125</td>\n",
       "      <td>9.033457</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>104988</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>54.1</td>\n",
       "      <td>104988</td>\n",
       "      <td>1.232935</td>\n",
       "      <td>56.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.250</td>\n",
       "      <td>15.597424</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>105607</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>45.3</td>\n",
       "      <td>105607</td>\n",
       "      <td>1.418095</td>\n",
       "      <td>42.00</td>\n",
       "      <td>1</td>\n",
       "      <td>1.000</td>\n",
       "      <td>39.187813</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>105013</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>32.8</td>\n",
       "      <td>105013</td>\n",
       "      <td>1.253599</td>\n",
       "      <td>32.25</td>\n",
       "      <td>1</td>\n",
       "      <td>0.125</td>\n",
       "      <td>12.828475</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>105169</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>39.6</td>\n",
       "      <td>105169</td>\n",
       "      <td>1.132739</td>\n",
       "      <td>39.75</td>\n",
       "      <td>1</td>\n",
       "      <td>0.125</td>\n",
       "      <td>7.628265</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>105525</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>70.3</td>\n",
       "      <td>105525</td>\n",
       "      <td>1.090513</td>\n",
       "      <td>72.50</td>\n",
       "      <td>1</td>\n",
       "      <td>0.125</td>\n",
       "      <td>8.992222</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>105590</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>37.8</td>\n",
       "      <td>105590</td>\n",
       "      <td>1.071302</td>\n",
       "      <td>36.75</td>\n",
       "      <td>1</td>\n",
       "      <td>0.125</td>\n",
       "      <td>8.616108</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>105188</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>60.8</td>\n",
       "      <td>105188</td>\n",
       "      <td>1.171919</td>\n",
       "      <td>58.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.500</td>\n",
       "      <td>16.945205</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>105291</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>59.9</td>\n",
       "      <td>105291</td>\n",
       "      <td>1.259686</td>\n",
       "      <td>58.50</td>\n",
       "      <td>1</td>\n",
       "      <td>0.125</td>\n",
       "      <td>10.681236</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>105565</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>40.0</td>\n",
       "      <td>105565</td>\n",
       "      <td>1.094727</td>\n",
       "      <td>39.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.500</td>\n",
       "      <td>20.367923</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>105415</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>37.8</td>\n",
       "      <td>105415</td>\n",
       "      <td>1.104804</td>\n",
       "      <td>39.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.500</td>\n",
       "      <td>23.826661</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>105090</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>47.6</td>\n",
       "      <td>105090</td>\n",
       "      <td>1.141650</td>\n",
       "      <td>43.25</td>\n",
       "      <td>1</td>\n",
       "      <td>0.125</td>\n",
       "      <td>7.606535</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>105223</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>48.2</td>\n",
       "      <td>105223</td>\n",
       "      <td>1.150193</td>\n",
       "      <td>44.00</td>\n",
       "      <td>1</td>\n",
       "      <td>2.000</td>\n",
       "      <td>68.814410</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>104911</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>40.7</td>\n",
       "      <td>104911</td>\n",
       "      <td>1.177911</td>\n",
       "      <td>40.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.500</td>\n",
       "      <td>23.963303</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>105407</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>47.7</td>\n",
       "      <td>105407</td>\n",
       "      <td>1.235777</td>\n",
       "      <td>48.00</td>\n",
       "      <td>1</td>\n",
       "      <td>1.000</td>\n",
       "      <td>42.883554</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>105159</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>35.3</td>\n",
       "      <td>105159</td>\n",
       "      <td>1.281679</td>\n",
       "      <td>32.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.500</td>\n",
       "      <td>20.385745</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>105408</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>46.4</td>\n",
       "      <td>105408</td>\n",
       "      <td>1.132494</td>\n",
       "      <td>45.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.500</td>\n",
       "      <td>19.676127</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>105579</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>40.7</td>\n",
       "      <td>105579</td>\n",
       "      <td>1.183536</td>\n",
       "      <td>40.00</td>\n",
       "      <td>1</td>\n",
       "      <td>1.000</td>\n",
       "      <td>39.929426</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>105146</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>33.0</td>\n",
       "      <td>105146</td>\n",
       "      <td>2.072490</td>\n",
       "      <td>32.50</td>\n",
       "      <td>1</td>\n",
       "      <td>0.250</td>\n",
       "      <td>9.311257</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>105624</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>33.2</td>\n",
       "      <td>105624</td>\n",
       "      <td>1.288342</td>\n",
       "      <td>32.50</td>\n",
       "      <td>1</td>\n",
       "      <td>0.125</td>\n",
       "      <td>12.010965</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>105600</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>86.3</td>\n",
       "      <td>105600</td>\n",
       "      <td>1.157615</td>\n",
       "      <td>87.25</td>\n",
       "      <td>1</td>\n",
       "      <td>0.125</td>\n",
       "      <td>12.279486</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>105022</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>41.3</td>\n",
       "      <td>105022</td>\n",
       "      <td>1.128208</td>\n",
       "      <td>46.50</td>\n",
       "      <td>1</td>\n",
       "      <td>0.250</td>\n",
       "      <td>15.661995</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>105106</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>49.6</td>\n",
       "      <td>105106</td>\n",
       "      <td>1.275511</td>\n",
       "      <td>50.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.250</td>\n",
       "      <td>24.433106</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>104966</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>53.2</td>\n",
       "      <td>104966</td>\n",
       "      <td>1.064686</td>\n",
       "      <td>55.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.125</td>\n",
       "      <td>8.003871</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>105365</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>128.0</td>\n",
       "      <td>105365</td>\n",
       "      <td>1.223325</td>\n",
       "      <td>126.00</td>\n",
       "      <td>1</td>\n",
       "      <td>1.000</td>\n",
       "      <td>37.190135</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>105262</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>42.6</td>\n",
       "      <td>105262</td>\n",
       "      <td>1.292882</td>\n",
       "      <td>42.25</td>\n",
       "      <td>1</td>\n",
       "      <td>0.125</td>\n",
       "      <td>7.709833</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>105400</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>48.9</td>\n",
       "      <td>105400</td>\n",
       "      <td>1.244231</td>\n",
       "      <td>48.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.500</td>\n",
       "      <td>23.024110</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>105652</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>79.6</td>\n",
       "      <td>105652</td>\n",
       "      <td>1.204062</td>\n",
       "      <td>78.00</td>\n",
       "      <td>1</td>\n",
       "      <td>1.000</td>\n",
       "      <td>30.284961</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>105422</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>42.4</td>\n",
       "      <td>105422</td>\n",
       "      <td>1.164420</td>\n",
       "      <td>43.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.125</td>\n",
       "      <td>7.839772</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>104998</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>102.4</td>\n",
       "      <td>104998</td>\n",
       "      <td>1.226479</td>\n",
       "      <td>98.50</td>\n",
       "      <td>1</td>\n",
       "      <td>0.250</td>\n",
       "      <td>10.103104</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>104986</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>42.8</td>\n",
       "      <td>104986</td>\n",
       "      <td>1.092594</td>\n",
       "      <td>43.50</td>\n",
       "      <td>1</td>\n",
       "      <td>0.125</td>\n",
       "      <td>11.518028</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>105488</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>93.3</td>\n",
       "      <td>105488</td>\n",
       "      <td>1.163882</td>\n",
       "      <td>92.00</td>\n",
       "      <td>1</td>\n",
       "      <td>2.000</td>\n",
       "      <td>86.993356</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>104970</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>62.3</td>\n",
       "      <td>104970</td>\n",
       "      <td>1.203264</td>\n",
       "      <td>68.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.125</td>\n",
       "      <td>8.815780</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>105462</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>78.5</td>\n",
       "      <td>105462</td>\n",
       "      <td>1.245359</td>\n",
       "      <td>77.50</td>\n",
       "      <td>1</td>\n",
       "      <td>0.250</td>\n",
       "      <td>12.558669</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>105487</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>48.3</td>\n",
       "      <td>105487</td>\n",
       "      <td>1.027723</td>\n",
       "      <td>46.75</td>\n",
       "      <td>1</td>\n",
       "      <td>0.125</td>\n",
       "      <td>9.856256</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>105674</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>46.8</td>\n",
       "      <td>105674</td>\n",
       "      <td>1.183817</td>\n",
       "      <td>46.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.500</td>\n",
       "      <td>35.954229</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>105432</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>170.6</td>\n",
       "      <td>105432</td>\n",
       "      <td>1.413435</td>\n",
       "      <td>170.00</td>\n",
       "      <td>1</td>\n",
       "      <td>1.000</td>\n",
       "      <td>35.640344</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>104929</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>43.5</td>\n",
       "      <td>104929</td>\n",
       "      <td>1.092709</td>\n",
       "      <td>43.50</td>\n",
       "      <td>1</td>\n",
       "      <td>0.250</td>\n",
       "      <td>18.194074</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>105049</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>48.2</td>\n",
       "      <td>105049</td>\n",
       "      <td>1.108341</td>\n",
       "      <td>47.50</td>\n",
       "      <td>1</td>\n",
       "      <td>0.250</td>\n",
       "      <td>14.300953</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>105560</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>291.0</td>\n",
       "      <td>105560</td>\n",
       "      <td>1.398900</td>\n",
       "      <td>290.00</td>\n",
       "      <td>1</td>\n",
       "      <td>1.000</td>\n",
       "      <td>34.944649</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>105360</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>44.7</td>\n",
       "      <td>105360</td>\n",
       "      <td>1.128895</td>\n",
       "      <td>47.50</td>\n",
       "      <td>1</td>\n",
       "      <td>0.125</td>\n",
       "      <td>9.573281</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     RunID  SourceID_x  SourceTime_x  SourceID_y  SourceTime_y   runid  \\\n",
       "0   105185           0           0.0           1          50.5  105185   \n",
       "2   105187           0           0.0           1          63.9  105187   \n",
       "7   104932           0           0.0           1          45.2  104932   \n",
       "8   105333           0           0.0           1          48.3  105333   \n",
       "9   104988           0           0.0           1          54.1  104988   \n",
       "15  105607           0           0.0           1          45.3  105607   \n",
       "18  105013           0           0.0           1          32.8  105013   \n",
       "20  105169           0           0.0           1          39.6  105169   \n",
       "21  105525           0           0.0           1          70.3  105525   \n",
       "22  105590           0           0.0           1          37.8  105590   \n",
       "25  105188           0           0.0           1          60.8  105188   \n",
       "36  105291           0           0.0           1          59.9  105291   \n",
       "38  105565           0           0.0           1          40.0  105565   \n",
       "39  105415           0           0.0           1          37.8  105415   \n",
       "40  105090           0           0.0           1          47.6  105090   \n",
       "43  105223           0           0.0           1          48.2  105223   \n",
       "47  104911           0           0.0           1          40.7  104911   \n",
       "49  105407           0           0.0           1          47.7  105407   \n",
       "51  105159           0           0.0           1          35.3  105159   \n",
       "52  105408           0           0.0           1          46.4  105408   \n",
       "54  105579           0           0.0           1          40.7  105579   \n",
       "57  105146           0           0.0           1          33.0  105146   \n",
       "60  105624           0           0.0           1          33.2  105624   \n",
       "63  105600           0           0.0           1          86.3  105600   \n",
       "65  105022           0           0.0           1          41.3  105022   \n",
       "67  105106           0           0.0           1          49.6  105106   \n",
       "68  104966           0           0.0           1          53.2  104966   \n",
       "70  105365           0           0.0           1         128.0  105365   \n",
       "73  105262           0           0.0           1          42.6  105262   \n",
       "74  105400           0           0.0           1          48.9  105400   \n",
       "76  105652           0           0.0           1          79.6  105652   \n",
       "77  105422           0           0.0           1          42.4  105422   \n",
       "81  104998           0           0.0           1         102.4  104998   \n",
       "82  104986           0           0.0           1          42.8  104986   \n",
       "83  105488           0           0.0           1          93.3  105488   \n",
       "85  104970           0           0.0           1          62.3  104970   \n",
       "87  105462           0           0.0           1          78.5  105462   \n",
       "88  105487           0           0.0           1          48.3  105487   \n",
       "89  105674           0           0.0           1          46.8  105674   \n",
       "90  105432           0           0.0           1         170.6  105432   \n",
       "91  104929           0           0.0           1          43.5  104929   \n",
       "92  105049           0           0.0           1          48.2  105049   \n",
       "93  105560           0           0.0           1         291.0  105560   \n",
       "94  105360           0           0.0           1          44.7  105360   \n",
       "\n",
       "         snr      ti  source  toffs    sresbgs  issmooth  \n",
       "0   1.217237   50.50       1  0.125   8.888690         0  \n",
       "2   1.142599   62.00       1  0.500  22.388089         0  \n",
       "7   1.120470   45.50       1  0.250  20.272859         0  \n",
       "8   1.242606   44.00       1  0.125   9.033457         0  \n",
       "9   1.232935   56.00       1  0.250  15.597424         0  \n",
       "15  1.418095   42.00       1  1.000  39.187813         0  \n",
       "18  1.253599   32.25       1  0.125  12.828475         0  \n",
       "20  1.132739   39.75       1  0.125   7.628265         0  \n",
       "21  1.090513   72.50       1  0.125   8.992222         0  \n",
       "22  1.071302   36.75       1  0.125   8.616108         0  \n",
       "25  1.171919   58.00       1  0.500  16.945205         0  \n",
       "36  1.259686   58.50       1  0.125  10.681236         0  \n",
       "38  1.094727   39.00       1  0.500  20.367923         0  \n",
       "39  1.104804   39.00       1  0.500  23.826661         0  \n",
       "40  1.141650   43.25       1  0.125   7.606535         0  \n",
       "43  1.150193   44.00       1  2.000  68.814410         0  \n",
       "47  1.177911   40.00       1  0.500  23.963303         0  \n",
       "49  1.235777   48.00       1  1.000  42.883554         0  \n",
       "51  1.281679   32.00       1  0.500  20.385745         0  \n",
       "52  1.132494   45.00       1  0.500  19.676127         0  \n",
       "54  1.183536   40.00       1  1.000  39.929426         0  \n",
       "57  2.072490   32.50       1  0.250   9.311257         0  \n",
       "60  1.288342   32.50       1  0.125  12.010965         0  \n",
       "63  1.157615   87.25       1  0.125  12.279486         0  \n",
       "65  1.128208   46.50       1  0.250  15.661995         0  \n",
       "67  1.275511   50.00       1  0.250  24.433106         0  \n",
       "68  1.064686   55.00       1  0.125   8.003871         0  \n",
       "70  1.223325  126.00       1  1.000  37.190135         0  \n",
       "73  1.292882   42.25       1  0.125   7.709833         0  \n",
       "74  1.244231   48.00       1  0.500  23.024110         0  \n",
       "76  1.204062   78.00       1  1.000  30.284961         0  \n",
       "77  1.164420   43.00       1  0.125   7.839772         0  \n",
       "81  1.226479   98.50       1  0.250  10.103104         0  \n",
       "82  1.092594   43.50       1  0.125  11.518028         0  \n",
       "83  1.163882   92.00       1  2.000  86.993356         0  \n",
       "85  1.203264   68.00       1  0.125   8.815780         0  \n",
       "87  1.245359   77.50       1  0.250  12.558669         0  \n",
       "88  1.027723   46.75       1  0.125   9.856256         0  \n",
       "89  1.183817   46.00       1  0.500  35.954229         0  \n",
       "90  1.413435  170.00       1  1.000  35.640344         0  \n",
       "91  1.092709   43.50       1  0.250  18.194074         0  \n",
       "92  1.108341   47.50       1  0.250  14.300953         0  \n",
       "93  1.398900  290.00       1  1.000  34.944649         0  \n",
       "94  1.128895   47.50       1  0.125   9.573281         0  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#plt.hist(dat1[\"toffs\"],bins=16);\n",
    "#plt.hist(np.abs(dat1[\"SourceTime_y\"] - dat1[\"ti\"]), bins=64);\n",
    "#plt.hist(dat1[np.abs(dat1[\"SourceTime_y\"] - dat1[\"ti\"]) < 3][\"snr\"])\n",
    "dat1[np.abs(dat1[\"SourceTime_y\"] - dat1[\"ti\"]) < 6]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "mimetype": "text/x-python",
   "name": "python",
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