{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "* Extract mean and stdev of g2's where possible\n", "* Saves only gaussian portions of g2 when overlapping and well-separated distributions are distinct\n", "* Re-normalises each plot to total population" ] }, { "cell_type": "code", "execution_count": 269, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import os\n", "\n", "from __future__ import division\n", "from scipy.special import erf\n", "from scipy.stats import norm\n", "from lmfit.models import GaussianModel" ] }, { "cell_type": "code", "execution_count": 270, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [ "# diode separations (generated)\n", "dsep90 = 9.240000123367228468e+01\n", "dsep170 = 1.696000022644028604e+02\n", "dsep240 = 2.388000031883220231e+02\n", "dsep500 = 4.932000065849262569e+02\n", "dsep950 = 9.504000126892011622e+02" ] }, { "cell_type": "code", "execution_count": 271, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [ "def fit_gaussian(x, y, debug=False):\n", " mod = GaussianModel()\n", " pars = mod.guess(y, x=x)\n", " out = mod.fit(y, pars, x=x, \n", " \t# weights=(1 / (np.sqrt(y)))\n", " \t)\n", " print(out.fit_report())\n", " if debug:\n", " plt.figure()\n", " out.plot_fit()\n", " plt.show()\n", " # return out.params['center'].value,out.params['center'].stderr\n", " return out.params['center'].value, out.params['sigma'].value" ] }, { "cell_type": "code", "execution_count": 272, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "def boxplot_data(_center, _sigma):\n", " return np.array([norm.ppf(0.05,_center,_sigma), _center-_sigma, _center, _center+_sigma, norm.ppf(0.95,_center,_sigma)])" ] }, { "cell_type": "code", "execution_count": 273, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "def saveresult(index,array,file):\n", " \"\"\"writes a line in the format: index, *array\"\"\"\n", " with open(file,'a+') as f:\n", " if os.path.getsize(file)==0:\n", " f.write('#generated_separation(ns)\\tpercentile5\\tcenter-sigma\\tcenter\\tcenter+sigma\\tpercentile95\\n')\n", "# print('\\t'.join([str(x) for x in [index,*array]])+'\\n')\n", " f.write('\\t'.join([str(x) for x in [index,*array]])+'\\n')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# 90 ns separated\n", "* perform renormalisation" ] }, { "cell_type": "code", "execution_count": 274, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "g2_90 = np.loadtxt('g2_90ns.dat')" ] }, { "cell_type": "code", "execution_count": 275, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "bins = g2_90[:,0]\n", "freq = g2_90[:,1]" ] }, { "cell_type": "code", "execution_count": 276, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "5.0" ] }, "execution_count": 276, "metadata": {}, "output_type": "execute_result" } ], "source": [ "bins[1]-bins[0]" ] }, { "cell_type": "code", "execution_count": 277, "metadata": { "collapsed": false }, "outputs": [], "source": [ "normalisation = np.sum(freq)" ] }, { "cell_type": "code", "execution_count": 278, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYAAAAD8CAYAAAB+UHOxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure()\n", "plt.plot(bins,freq)\n", "plt.xlim(0,250)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 279, "metadata": { "collapsed": true }, "outputs": [], "source": [ "np.savetxt('g2_90ns_renormed.dat',\n", " np.array(list(zip(bins,freq/normalisation))),\n", " header='tau(ns)\\tcounts',\n", " fmt='%f')" ] }, { "cell_type": "code", "execution_count": 280, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0.0759776536313\n" ] } ], "source": [ "print (np.max(freq)/normalisation)" ] }, { "cell_type": "markdown", "metadata": { "deletable": true, "editable": true }, "source": [ "# 170 ns separated" ] }, { "cell_type": "code", "execution_count": 281, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [ "g2_170 = np.loadtxt('g2_170ns.dat')" ] }, { "cell_type": "code", "execution_count": 282, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "bins = g2_170[:,0]\n", "freq = g2_170[:,1]" ] }, { "cell_type": "code", "execution_count": 283, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "5.0" ] }, "execution_count": 283, "metadata": {}, "output_type": "execute_result" } ], "source": [ "bins[1]-bins[0]" ] }, { "cell_type": "code", "execution_count": 284, "metadata": { "collapsed": false }, "outputs": [], "source": [ "normalisation = np.sum(freq)" ] }, { "cell_type": "code", "execution_count": 285, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYYAAAD8CAYAAABzTgP2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRJpQMIiISBMKBhERaeL/A9xZ3T+mHb6cAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure()\n", "plt.plot(bins,freq)\n", "plt.xlim(0,250)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 286, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [ "mask = (bins>120)&(bins<250)" ] }, { "cell_type": "code", "execution_count": 287, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[[Model]]\n", " Model(gaussian)\n", "[[Variables]]\n", " center: 173.376937 +/- 0.318887 (0.18%) (init= 172)\n", " amplitude: 22857.2348 +/- 391.1948 (1.71%) (init= 25065)\n", " sigma: 16.1368098 +/- 0.318928 (1.98%) (init= 15)\n", " fwhm: 37.9992824 +/- 0.751018 (1.98%) == '2.3548200*sigma'\n", " height: 565.088016 +/- 9.671157 (1.71%) == '0.3989423*amplitude/max(1.e-15, sigma)'\n", "[[Correlations]] (unreported correlations are < 0.100)\n", " C(amplitude, sigma) = 0.577 \n", "\n" ] }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYgAAAEWCAYAAAB8LwAVAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n9PLtnwAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "173.376937947847 16.13680980363818\n" ] } ], "source": [ "center, sigma = fit_gaussian(bins[mask], freq[mask], debug=True)\n", "print(center,sigma)" ] }, { "cell_type": "code", "execution_count": 288, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "saveresult(dsep170, boxplot_data(center,sigma), 'gaussfit_result.dat')" ] }, { "cell_type": "code", "execution_count": 289, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "124.96650853693248 221.78736735876154\n" ] } ], "source": [ "print (center-3*sigma, center+3*sigma)" ] }, { "cell_type": "code", "execution_count": 290, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "sigmamask = (bins>center-3*sigma)&(bins" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure()\n", "plt.plot(bins,freq)\n", "plt.xlim(0,500)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 297, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [ "mask = (bins>200)&(bins<300)" ] }, { "cell_type": "code", "execution_count": 298, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[[Model]]\n", " Model(gaussian)\n", "[[Variables]]\n", " center: 240.988820 +/- 0.288677 (0.12%) (init= 242)\n", " amplitude: 21859.1634 +/- 363.9117 (1.66%) (init= 26235)\n", " sigma: 15.0295689 +/- 0.289407 (1.93%) (init= 15)\n", " fwhm: 35.3919295 +/- 0.681502 (1.93%) == '2.3548200*sigma'\n", " height: 580.225886 +/- 9.655206 (1.66%) == '0.3989423*amplitude/max(1.e-15, sigma)'\n", "[[Correlations]] (unreported correlations are < 0.100)\n", " C(amplitude, sigma) = 0.579 \n", "\n" ] }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYgAAAEWCAYAAAB8LwAVAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "240.98882004385032 15.029568934548127\n" ] } ], "source": [ "center, sigma = fit_gaussian(bins[mask], freq[mask], debug=True)\n", "print(center,sigma)" ] }, { "cell_type": "code", "execution_count": 299, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "saveresult(dsep240, boxplot_data(center,sigma), 'gaussfit_result.dat')" ] }, { "cell_type": "code", "execution_count": 300, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "195.90011324020594 286.0775268474947\n" ] } ], "source": [ "print (center-3*sigma, center+3*sigma)" ] }, { "cell_type": "code", "execution_count": 301, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [ "sigmamask = (bins>center-3*sigma)&(bins" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure()\n", "plt.plot(bins,freq)\n", "plt.xlim(0,1000)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 308, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [ "mask = (bins>400)&(bins<600)" ] }, { "cell_type": "code", "execution_count": 309, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[[Model]]\n", " Model(gaussian)\n", "[[Variables]]\n", " center: 494.522062 +/- 0.142224 (0.03%) (init= 494.5)\n", " amplitude: 22093.7083 +/- 188.4487 (0.85%) (init= 23250)\n", " sigma: 14.4405414 +/- 0.142224 (0.98%) (init= 12.5)\n", " fwhm: 34.0048756 +/- 0.334914 (0.98%) == '2.3548200*sigma'\n", " height: 610.372877 +/- 5.206174 (0.85%) == '0.3989423*amplitude/max(1.e-15, sigma)'\n", "[[Correlations]] (unreported correlations are < 0.100)\n", " C(amplitude, sigma) = 0.577 \n", "\n" ] }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYgAAAEWCAYAAAB8LwAVAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nwQZL/AAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "494.52206238592646 14.440541395005601\n" ] } ], "source": [ "center, sigma = fit_gaussian(bins[mask], freq[mask], debug=True)\n", "print(center,sigma)" ] }, { "cell_type": "code", "execution_count": 310, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "saveresult(dsep500, boxplot_data(center,sigma), 'gaussfit_result.dat')" ] }, { "cell_type": "code", "execution_count": 311, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "451.2004382009097 537.8436865709433\n" ] } ], "source": [ "print (center-3*sigma, center+3*sigma)" ] }, { "cell_type": "code", "execution_count": 312, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [ "sigmamask = (bins>center-3*sigma)&(bins" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure()\n", "plt.plot(bins,freq)\n", "plt.xlim(0,1000)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 319, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [ "mask = (bins>900)&(bins<1000)" ] }, { "cell_type": "code", "execution_count": 320, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[[Model]]\n", " Model(gaussian)\n", "[[Variables]]\n", " center: 949.306011 +/- 0.254454 (0.03%) (init= 949.5)\n", " amplitude: 18102.2107 +/- 284.3317 (1.57%) (init= 19537.5)\n", " sigma: 14.0300381 +/- 0.254470 (1.81%) (init= 12.5)\n", " fwhm: 33.0382145 +/- 0.599231 (1.81%) == '2.3548200*sigma'\n", " height: 514.733995 +/- 8.084846 (1.57%) == '0.3989423*amplitude/max(1.e-15, sigma)'\n", "[[Correlations]] (unreported correlations are < 0.100)\n", " C(amplitude, sigma) = 0.577 \n", "\n" ] }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYwAAAEWCAYAAAB1xKBvAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nzMwsFycMMzPLxQnDzMxy+QcFvubaDyINkgAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "949.3060114901558 14.030038184602683\n" ] } ], "source": [ "center, sigma = fit_gaussian(bins[mask], freq[mask], debug=True)\n", "print(center,sigma)" ] }, { "cell_type": "code", "execution_count": 321, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [ "saveresult(dsep950, boxplot_data(center,sigma), 'gaussfit_result.dat')" ] }, { "cell_type": "code", "execution_count": 322, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "907.2158969363478 991.3961260439638\n" ] } ], "source": [ "print (center-3*sigma, center+3*sigma)" ] }, { "cell_type": "code", "execution_count": 323, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [ "sigmamask = (bins>center-3*sigma)&(bins