mirror of
https://asciireactor.com/otho/phy-4660.git
synced 2024-11-28 05:35:04 +00:00
801 lines
158 KiB
Plaintext
801 lines
158 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 17,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Populating the interactive namespace from numpy and matplotlib\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"<Container object of 3 artists>"
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]
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},
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"execution_count": 17,
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"metadata": {},
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"output_type": "execute_result"
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},
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{
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"data": {
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"image/png": "iVBORw0KGgoAAAANSUhEUgAAAg8AAAFkCAYAAACn/timAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nzJw5yObNyX/esix+/et
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"text/plain": [
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"<matplotlib.figure.Figure at 0x7f9bcc1230d0>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"import numpy as np\n",
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"import sys\n",
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"import getopt\n",
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"sys.path.insert(1,\"/usr/local/science/clag/\")\n",
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"import clag\n",
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"%pylab inline\n",
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"\n",
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"from scipy.stats import norm\n",
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"from scipy.stats import lognorm\n",
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"\n",
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"ref_file=\"lc/1367A.lc\"\n",
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"echo_file=\"lc/1928A.lc\"\n",
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"\n",
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"\n",
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"dt = 0.01\n",
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"t1, l1, l1e = np.loadtxt(ref_file).T\n",
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"errorbar(t1, l1, yerr=l1e, fmt='o')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([ 0.005 , 0.01861938, 0.04473305, 0.06933623, 0.10747115,\n",
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" 0.16658029, 0.25819945, 0.40020915, 0.62032418])"
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]
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},
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"\n",
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"\n",
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"fqL = np.array([0.0049999999, 0.018619375, 0.044733049, 0.069336227, 0.10747115, 0.16658029, \n",
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" 0.25819945, 0.40020915, 0.62032418])\n",
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"# fqL = np.logspace(np.log10(0.0006),np.log10(1.2),11)\n",
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"nfq = len(fqL) - 1\n",
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"fqd = 10**(np.log10( (fqL[:-1]*fqL[1:]) )/2.)\n",
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"\n",
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"\n",
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"fqL\n",
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"\n",
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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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" 1 4.342e-01 5.077e+01 inf -- -5.530e+02 -- 1 1 1 1 1 1 1 1\n",
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" 2 7.674e-01 5.065e+01 8.300e+01 -- -4.700e+02 -- 0.653018 0.587019 0.568277 0.567457 0.566281 0.566085 0.565773 0.566163\n",
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" 3 3.298e+00 5.043e+01 8.075e+01 -- -3.893e+02 -- 0.414806 0.209135 0.141159 0.13784 0.133393 0.132728 0.131612 0.132761\n",
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" 4 1.572e+00 5.010e+01 7.754e+01 -- -3.117e+02 -- 0.322539 -0.0834456 -0.273066 -0.284295 -0.297612 -0.299435 -0.302479 -0.300412\n",
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" 5 5.908e-01 4.964e+01 7.386e+01 -- -2.379e+02 -- 0.302357 -0.214604 -0.654658 -0.688754 -0.723838 -0.729279 -0.736418 -0.733888\n",
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" 6 3.713e-01 4.877e+01 6.953e+01 -- -1.683e+02 -- 0.284419 -0.200357 -0.96379 -1.05472 -1.13798 -1.15477 -1.17031 -1.16748\n",
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" 7 2.709e-01 4.671e+01 6.269e+01 -- -1.056e+02 -- 0.277768 -0.185001 -1.13047 -1.34026 -1.52128 -1.56845 -1.6043 -1.60101\n",
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" 8 2.135e-01 4.361e+01 5.281e+01 -- -5.282e+01 -- 0.277012 -0.185189 -1.16375 -1.49463 -1.83211 -1.9477 -2.03737 -2.03476\n",
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" 9 1.764e-01 3.767e+01 4.019e+01 -- -1.264e+01 -- 0.282161 -0.184207 -1.17891 -1.53049 -2.01851 -2.24569 -2.46562 -2.46922\n",
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" 10 1.508e-01 2.738e+01 2.645e+01 -- 1.382e+01 -- 0.289545 -0.182463 -1.18795 -1.52893 -2.08812 -2.41103 -2.87498 -2.90486\n",
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" 11 1.349e-01 1.468e+01 1.390e+01 -- 2.772e+01 -- 0.293547 -0.180898 -1.1897 -1.52803 -2.10944 -2.46526 -3.22702 -3.34288\n",
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" 12 1.358e-01 5.365e+00 5.378e+00 -- 3.309e+01 -- 0.295456 -0.179941 -1.19052 -1.52801 -2.11928 -2.48294 -3.46233 -3.79368\n",
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" 13 1.868e-01 1.338e+00 1.633e+00 -- 3.473e+01 -- 0.297315 -0.17923 -1.19104 -1.52666 -2.12491 -2.48975 -3.55567 -4.30889\n",
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" 14 6.248e-01 2.604e-01 4.517e-01 -- 3.518e+01 -- 0.299091 -0.178645 -1.191 -1.52463 -2.12805 -2.4915 -3.5672 -5.11363\n",
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" 15 2.744e+02 2.611e-01 7.022e-02 -- 3.525e+01 -- 0.300248 -0.178286 -1.19075 -1.52307 -2.12961 -2.49161 -3.56337 -8\n",
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" 16 2.745e+02 2.782e-01 4.368e-04 -- 3.525e+01 -- 0.300566 -0.178158 -1.19062 -1.52252 -2.13009 -2.49151 -3.5617 -8\n",
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" 17 2.745e+02 2.805e-01 6.410e-05 -- 3.525e+01 -- 0.300599 -0.178134 -1.19059 -1.52242 -2.13017 -2.49148 -3.56148 -8\n",
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"********************\n",
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"0.300599 -0.178134 -1.19059 -1.52242 -2.13017 -2.49148 -3.56148 -8\n",
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"0.238931 0.202434 0.232634 0.177249 0.153039 0.132988 0.297259 3285.23\n",
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"-0.000915535 -0.00131061 -0.00195128 -0.00497899 -0.0226059 -0.0776175 -0.280541 -0.000206646\n",
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"********************\n"
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]
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}
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],
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"source": [
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"P1 = clag.clag('psd10r', [t1], [l1], [l1e], dt, fqL)\n",
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"p1 = np.ones(nfq)\n",
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"p1, p1e = clag.optimize(P1, p1)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
|
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"\t### errors for param 0 ###\n",
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"+++ 3.525e+01 3.480e+01 3.006e-01 5.395e-01 0.891 +++\n",
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"+++ 3.525e+01 3.431e+01 3.006e-01 6.590e-01 1.87 +++\n",
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"+++ 3.525e+01 3.458e+01 3.006e-01 5.993e-01 1.34 +++\n",
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"+++ 3.525e+01 3.469e+01 3.006e-01 5.694e-01 1.11 +++\n",
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"+++ 3.525e+01 3.475e+01 3.006e-01 5.545e-01 0.997 +++\n",
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"\t### errors for param 1 ###\n",
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"+++ 3.525e+01 3.476e+01 -1.781e-01 2.430e-02 0.973 +++\n",
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"+++ 3.525e+01 3.421e+01 -1.781e-01 1.255e-01 2.07 +++\n",
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"+++ 3.525e+01 3.451e+01 -1.781e-01 7.491e-02 1.48 +++\n",
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"+++ 3.525e+01 3.464e+01 -1.781e-01 4.961e-02 1.21 +++\n",
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"+++ 3.525e+01 3.470e+01 -1.781e-01 3.696e-02 1.09 +++\n",
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"+++ 3.525e+01 3.473e+01 -1.781e-01 3.063e-02 1.03 +++\n",
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"+++ 3.525e+01 3.475e+01 -1.781e-01 2.747e-02 1 +++\n",
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"\t### errors for param 2 ###\n",
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"+++ 3.525e+01 3.511e+01 -1.191e+00 -1.074e+00 0.276 +++\n",
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"+++ 3.525e+01 3.495e+01 -1.191e+00 -1.016e+00 0.598 +++\n",
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"+++ 3.525e+01 3.485e+01 -1.191e+00 -9.870e-01 0.8 +++\n",
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"+++ 3.525e+01 3.479e+01 -1.191e+00 -9.725e-01 0.91 +++\n",
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"+++ 3.525e+01 3.476e+01 -1.191e+00 -9.652e-01 0.968 +++\n",
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"+++ 3.525e+01 3.475e+01 -1.191e+00 -9.616e-01 0.997 +++\n",
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"\t### errors for param 3 ###\n",
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"+++ 3.525e+01 3.482e+01 -1.522e+00 -1.345e+00 0.865 +++\n",
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"+++ 3.525e+01 3.432e+01 -1.522e+00 -1.257e+00 1.86 +++\n",
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"+++ 3.525e+01 3.459e+01 -1.522e+00 -1.301e+00 1.32 +++\n",
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"+++ 3.525e+01 3.471e+01 -1.522e+00 -1.323e+00 1.08 +++\n",
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"+++ 3.525e+01 3.476e+01 -1.522e+00 -1.334e+00 0.97 +++\n",
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"+++ 3.525e+01 3.473e+01 -1.522e+00 -1.329e+00 1.03 +++\n",
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"+++ 3.525e+01 3.475e+01 -1.522e+00 -1.331e+00 0.998 +++\n",
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"\t### errors for param 4 ###\n",
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"+++ 3.525e+01 3.481e+01 -2.130e+00 -1.977e+00 0.874 +++\n",
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"+++ 3.525e+01 3.429e+01 -2.130e+00 -1.901e+00 1.91 +++\n",
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||
|
"+++ 3.525e+01 3.457e+01 -2.130e+00 -1.939e+00 1.35 +++\n",
|
||
|
"+++ 3.525e+01 3.470e+01 -2.130e+00 -1.958e+00 1.1 +++\n",
|
||
|
"+++ 3.525e+01 3.476e+01 -2.130e+00 -1.968e+00 0.983 +++\n",
|
||
|
"+++ 3.525e+01 3.473e+01 -2.130e+00 -1.963e+00 1.04 +++\n",
|
||
|
"+++ 3.525e+01 3.474e+01 -2.130e+00 -1.965e+00 1.01 +++\n",
|
||
|
"+++ 3.525e+01 3.475e+01 -2.130e+00 -1.966e+00 0.997 +++\n",
|
||
|
"\t### errors for param 5 ###\n",
|
||
|
"+++ 3.525e+01 3.474e+01 -2.491e+00 -2.358e+00 1.01 +++\n",
|
||
|
"+++ 3.525e+01 3.512e+01 -2.491e+00 -2.425e+00 0.263 +++\n",
|
||
|
"+++ 3.525e+01 3.496e+01 -2.491e+00 -2.392e+00 0.579 +++\n",
|
||
|
"+++ 3.525e+01 3.486e+01 -2.491e+00 -2.375e+00 0.781 +++\n",
|
||
|
"+++ 3.525e+01 3.480e+01 -2.491e+00 -2.367e+00 0.893 +++\n",
|
||
|
"+++ 3.525e+01 3.477e+01 -2.491e+00 -2.363e+00 0.952 +++\n",
|
||
|
"+++ 3.525e+01 3.476e+01 -2.491e+00 -2.361e+00 0.982 +++\n",
|
||
|
"+++ 3.525e+01 3.475e+01 -2.491e+00 -2.360e+00 0.997 +++\n",
|
||
|
"\t### errors for param 6 ###\n",
|
||
|
"+++ 3.525e+01 3.507e+01 -3.561e+00 -3.413e+00 0.363 +++\n",
|
||
|
"+++ 3.525e+01 3.484e+01 -3.561e+00 -3.339e+00 0.814 +++\n",
|
||
|
"+++ 3.525e+01 3.468e+01 -3.561e+00 -3.301e+00 1.13 +++\n",
|
||
|
"+++ 3.525e+01 3.477e+01 -3.561e+00 -3.320e+00 0.962 +++\n",
|
||
|
"+++ 3.525e+01 3.473e+01 -3.561e+00 -3.311e+00 1.04 +++\n",
|
||
|
"+++ 3.525e+01 3.475e+01 -3.561e+00 -3.315e+00 1 +++\n",
|
||
|
"\t### errors for param 7 ###\n",
|
||
|
"+++ 3.525e+01 3.524e+01 -8.000e+00 -6.000e+00 0.0178 +++\n",
|
||
|
"+++ 3.525e+01 3.515e+01 -8.000e+00 -5.000e+00 0.187 +++\n",
|
||
|
"+++ 3.525e+01 3.494e+01 -8.000e+00 -4.500e+00 0.618 +++\n",
|
||
|
"+++ 3.525e+01 3.466e+01 -8.000e+00 -4.250e+00 1.18 +++\n",
|
||
|
"+++ 3.525e+01 3.482e+01 -8.000e+00 -4.375e+00 0.851 +++\n",
|
||
|
"+++ 3.525e+01 3.475e+01 -8.000e+00 -4.312e+00 1 +++\n",
|
||
|
"********************\n",
|
||
|
"0.300605 -0.178131 -1.19059 -1.52241 -2.13019 -2.49148 -3.56144 -8\n",
|
||
|
"0.253864 0.205597 0.228999 0.191096 0.1638 0.131949 0.246154 3.6875\n",
|
||
|
"********************\n"
|
||
|
]
|
||
|
}
|
||
|
],
|
||
|
"source": [
|
||
|
"p1, p1e = clag.errors(P1, p1, p1e)"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "code",
|
||
|
"execution_count": 5,
|
||
|
"metadata": {
|
||
|
"collapsed": false
|
||
|
},
|
||
|
"outputs": [
|
||
|
{
|
||
|
"data": {
|
||
|
"text/plain": [
|
||
|
"<Container object of 3 artists>"
|
||
|
]
|
||
|
},
|
||
|
"execution_count": 5,
|
||
|
"metadata": {},
|
||
|
"output_type": "execute_result"
|
||
|
},
|
||
|
{
|
||
|
"data": {
|
||
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAgkAAAFrCAYAAABbtho0AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n1Wpt9anVaq5RkDrAkCC
|
||
|
"text/plain": [
|
||
|
"<matplotlib.figure.Figure at 0x7f9be77ed850>"
|
||
|
]
|
||
|
},
|
||
|
"metadata": {},
|
||
|
"output_type": "display_data"
|
||
|
}
|
||
|
],
|
||
|
"source": [
|
||
|
"xscale('log'); ylim(-4,2)\n",
|
||
|
"errorbar(fqd, p1, yerr=p1e, fmt='o', ms=10, color=\"black\")\n"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "code",
|
||
|
"execution_count": 6,
|
||
|
"metadata": {
|
||
|
"collapsed": false
|
||
|
},
|
||
|
"outputs": [
|
||
|
{
|
||
|
"data": {
|
||
|
"text/plain": [
|
||
|
"<Container object of 3 artists>"
|
||
|
]
|
||
|
},
|
||
|
"execution_count": 6,
|
||
|
"metadata": {},
|
||
|
"output_type": "execute_result"
|
||
|
},
|
||
|
{
|
||
|
"data": {
|
||
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAg8AAAFkCAYAAACn/timAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nv1XZOixvV18K9UaRTKW
|
||
|
"text/plain": [
|
||
|
"<matplotlib.figure.Figure at 0x7f9bcfa46f50>"
|
||
|
]
|
||
|
},
|
||
|
"metadata": {},
|
||
|
"output_type": "display_data"
|
||
|
}
|
||
|
],
|
||
|
"source": [
|
||
|
"t2, l2, l2e = np.loadtxt(echo_file).T\n",
|
||
|
"errorbar(t1, l1, yerr=l1e, fmt='o', color=\"green\")\n",
|
||
|
"errorbar(t2, l2, yerr=l2e, fmt='o', color=\"black\")"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "code",
|
||
|
"execution_count": 7,
|
||
|
"metadata": {
|
||
|
"collapsed": false
|
||
|
},
|
||
|
"outputs": [
|
||
|
{
|
||
|
"name": "stdout",
|
||
|
"output_type": "stream",
|
||
|
"text": [
|
||
|
" 1 4.344e-01 7.393e+01 inf -- -3.944e+02 -- 1 1 1 1 1 1 1 1\n",
|
||
|
" 2 7.685e-01 7.351e+01 8.622e+01 -- -3.082e+02 -- 0.624092 0.584331 0.567607 0.567004 0.567011 0.567373 0.565602 0.572165\n",
|
||
|
" 3 3.322e+00 7.320e+01 8.468e+01 -- -2.235e+02 -- 0.335696 0.192847 0.135867 0.134225 0.133328 0.135054 0.130916 0.142995\n",
|
||
|
" 4 1.578e+00 7.233e+01 8.258e+01 -- -1.409e+02 -- 0.188517 -0.142584 -0.293749 -0.297289 -0.300771 -0.296754 -0.30398 -0.289444\n",
|
||
|
" 5 6.020e-01 7.051e+01 7.959e+01 -- -6.131e+01 -- 0.148668 -0.367563 -0.714785 -0.72349 -0.733746 -0.726833 -0.738389 -0.724505\n",
|
||
|
" 6 3.768e-01 6.774e+01 7.540e+01 -- 1.409e+01 -- 0.144731 -0.462001 -1.10711 -1.13381 -1.16285 -1.15289 -1.1711 -1.16069\n",
|
||
|
" 7 2.756e-01 6.360e+01 6.924e+01 -- 8.333e+01 -- 0.174356 -0.494567 -1.42737 -1.5044 -1.58181 -1.57067 -1.60086 -1.59803\n",
|
||
|
" 8 2.179e-01 5.635e+01 5.976e+01 -- 1.431e+02 -- 0.217323 -0.511297 -1.61338 -1.7878 -1.97301 -1.97114 -2.02736 -2.03849\n",
|
||
|
" 9 1.801e-01 4.421e+01 4.621e+01 -- 1.893e+02 -- 0.246071 -0.522108 -1.67034 -1.93112 -2.29163 -2.33219 -2.45077 -2.48259\n",
|
||
|
" 10 1.570e-01 2.842e+01 3.021e+01 -- 2.195e+02 -- 0.26181 -0.527692 -1.69937 -1.95215 -2.46868 -2.6103 -2.87208 -2.92966\n",
|
||
|
" 11 1.534e-01 1.394e+01 1.638e+01 -- 2.359e+02 -- 0.270025 -0.532175 -1.71636 -1.93588 -2.49871 -2.76037 -3.29811 -3.38966\n",
|
||
|
" 12 1.967e-01 4.790e+00 7.494e+00 -- 2.434e+02 -- 0.270795 -0.536861 -1.72096 -1.92459 -2.47931 -2.79803 -3.75141 -3.90973\n",
|
||
|
" 13 5.458e-01 9.532e-01 2.865e+00 -- 2.462e+02 -- 0.26859 -0.539948 -1.7231 -1.91925 -2.46297 -2.79554 -4.30331 -4.67867\n",
|
||
|
" 14 1.056e+02 2.730e-01 7.004e-01 -- 2.469e+02 -- 0.26685 -0.541445 -1.72405 -1.91702 -2.45339 -2.78988 -5.27857 -7.23243\n",
|
||
|
" 15 5.573e+02 3.423e-01 3.921e-02 -- 2.470e+02 -- 0.266108 -0.541837 -1.72399 -1.91704 -2.44871 -2.78749 -8 -8\n",
|
||
|
" 16 5.573e+02 3.538e-01 2.319e-04 -- 2.470e+02 -- 0.265884 -0.541836 -1.72403 -1.91735 -2.44747 -2.78719 -8 -8\n",
|
||
|
" 17 5.573e+02 3.544e-01 3.124e-05 -- 2.470e+02 -- 0.265818 -0.541848 -1.72407 -1.91742 -2.44724 -2.78718 -8 -8\n",
|
||
|
"********************\n",
|
||
|
"0.265818 -0.541848 -1.72407 -1.91742 -2.44724 -2.78718 -8 -8\n",
|
||
|
"0.236518 0.210143 0.256686 0.193866 0.180651 0.167701 4558.58 3532.49\n",
|
||
|
"-0.003073 -0.00781145 -0.023497 -0.0612628 -0.14201 -0.354433 -0.000171646 -0.000375339\n",
|
||
|
"********************\n"
|
||
|
]
|
||
|
}
|
||
|
],
|
||
|
"source": [
|
||
|
"P2 = clag.clag('psd10r', [t2], [l2], [l2e], dt, fqL)\n",
|
||
|
"p2 = np.ones(nfq)\n",
|
||
|
"p2, p2e = clag.optimize(P2, p2)"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "code",
|
||
|
"execution_count": 8,
|
||
|
"metadata": {
|
||
|
"collapsed": false,
|
||
|
"scrolled": true
|
||
|
},
|
||
|
"outputs": [
|
||
|
{
|
||
|
"name": "stdout",
|
||
|
"output_type": "stream",
|
||
|
"text": [
|
||
|
"\t### errors for param 0 ###\n",
|
||
|
"+++ 2.470e+02 2.466e+02 2.658e-01 5.023e-01 0.855 +++\n",
|
||
|
"+++ 2.470e+02 2.461e+02 2.658e-01 6.206e-01 1.8 +++\n",
|
||
|
"+++ 2.470e+02 2.463e+02 2.658e-01 5.615e-01 1.29 +++\n",
|
||
|
"+++ 2.470e+02 2.465e+02 2.658e-01 5.319e-01 1.06 +++\n",
|
||
|
"+++ 2.470e+02 2.465e+02 2.658e-01 5.171e-01 0.957 +++\n",
|
||
|
"+++ 2.470e+02 2.465e+02 2.658e-01 5.245e-01 1.01 +++\n",
|
||
|
"+++ 2.470e+02 2.465e+02 2.658e-01 5.208e-01 0.983 +++\n",
|
||
|
"+++ 2.470e+02 2.465e+02 2.658e-01 5.226e-01 0.997 +++\n",
|
||
|
"\t### errors for param 1 ###\n",
|
||
|
"+++ 2.470e+02 2.465e+02 -5.419e-01 -3.317e-01 0.963 +++\n",
|
||
|
"+++ 2.470e+02 2.460e+02 -5.419e-01 -2.266e-01 2.03 +++\n",
|
||
|
"+++ 2.470e+02 2.463e+02 -5.419e-01 -2.792e-01 1.46 +++\n",
|
||
|
"+++ 2.470e+02 2.464e+02 -5.419e-01 -3.054e-01 1.2 +++\n",
|
||
|
"+++ 2.470e+02 2.464e+02 -5.419e-01 -3.186e-01 1.08 +++\n",
|
||
|
"+++ 2.470e+02 2.465e+02 -5.419e-01 -3.251e-01 1.02 +++\n",
|
||
|
"+++ 2.470e+02 2.465e+02 -5.419e-01 -3.284e-01 0.991 +++\n",
|
||
|
"\t### errors for param 2 ###\n",
|
||
|
"+++ 2.470e+02 2.468e+02 -1.724e+00 -1.596e+00 0.302 +++\n",
|
||
|
"+++ 2.470e+02 2.467e+02 -1.724e+00 -1.532e+00 0.653 +++\n",
|
||
|
"+++ 2.470e+02 2.466e+02 -1.724e+00 -1.499e+00 0.873 +++\n",
|
||
|
"+++ 2.470e+02 2.465e+02 -1.724e+00 -1.483e+00 0.993 +++\n",
|
||
|
"\t### errors for param 3 ###\n",
|
||
|
"+++ 2.470e+02 2.465e+02 -1.917e+00 -1.724e+00 0.929 +++\n",
|
||
|
"+++ 2.470e+02 2.460e+02 -1.917e+00 -1.627e+00 1.98 +++\n",
|
||
|
"+++ 2.470e+02 2.463e+02 -1.917e+00 -1.675e+00 1.41 +++\n",
|
||
|
"+++ 2.470e+02 2.464e+02 -1.917e+00 -1.699e+00 1.16 +++\n",
|
||
|
"+++ 2.470e+02 2.465e+02 -1.917e+00 -1.711e+00 1.04 +++\n",
|
||
|
"+++ 2.470e+02 2.465e+02 -1.917e+00 -1.718e+00 0.984 +++\n",
|
||
|
"+++ 2.470e+02 2.465e+02 -1.917e+00 -1.714e+00 1.01 +++\n",
|
||
|
"+++ 2.470e+02 2.465e+02 -1.917e+00 -1.716e+00 0.998 +++\n",
|
||
|
"\t### errors for param 4 ###\n",
|
||
|
"+++ 2.470e+02 2.466e+02 -2.447e+00 -2.267e+00 0.864 +++\n",
|
||
|
"+++ 2.470e+02 2.460e+02 -2.447e+00 -2.176e+00 1.9 +++\n",
|
||
|
"+++ 2.470e+02 2.463e+02 -2.447e+00 -2.221e+00 1.33 +++\n",
|
||
|
"+++ 2.470e+02 2.464e+02 -2.447e+00 -2.244e+00 1.09 +++\n",
|
||
|
"+++ 2.470e+02 2.465e+02 -2.447e+00 -2.255e+00 0.972 +++\n",
|
||
|
"+++ 2.470e+02 2.465e+02 -2.447e+00 -2.250e+00 1.03 +++\n",
|
||
|
"+++ 2.470e+02 2.465e+02 -2.447e+00 -2.252e+00 1 +++\n",
|
||
|
"\t### errors for param 5 ###\n",
|
||
|
"+++ 2.470e+02 2.468e+02 -2.787e+00 -2.703e+00 0.292 +++\n",
|
||
|
"+++ 2.470e+02 2.467e+02 -2.787e+00 -2.661e+00 0.614 +++\n",
|
||
|
"+++ 2.470e+02 2.466e+02 -2.787e+00 -2.640e+00 0.82 +++\n",
|
||
|
"+++ 2.470e+02 2.465e+02 -2.787e+00 -2.630e+00 0.934 +++\n",
|
||
|
"+++ 2.470e+02 2.465e+02 -2.787e+00 -2.625e+00 0.993 +++\n",
|
||
|
"\t### errors for param 6 ###\n",
|
||
|
"+++ 2.470e+02 2.470e+02 -8.000e+00 -6.000e+00 0.0115 +++\n",
|
||
|
"+++ 2.470e+02 2.469e+02 -8.000e+00 -5.000e+00 0.147 +++\n",
|
||
|
"+++ 2.470e+02 2.467e+02 -8.000e+00 -4.500e+00 0.484 +++\n",
|
||
|
"+++ 2.470e+02 2.465e+02 -8.000e+00 -4.250e+00 0.884 +++\n",
|
||
|
"+++ 2.470e+02 2.464e+02 -8.000e+00 -4.125e+00 1.2 +++\n",
|
||
|
"+++ 2.470e+02 2.465e+02 -8.000e+00 -4.188e+00 1.03 +++\n",
|
||
|
"+++ 2.470e+02 2.465e+02 -8.000e+00 -4.219e+00 0.954 +++\n",
|
||
|
"+++ 2.470e+02 2.465e+02 -8.000e+00 -4.203e+00 0.991 +++\n",
|
||
|
"\t### errors for param 7 ###\n",
|
||
|
"+++ 2.470e+02 2.470e+02 -8.000e+00 -6.000e+00 0.0294 +++\n",
|
||
|
"+++ 2.470e+02 2.468e+02 -8.000e+00 -5.000e+00 0.323 +++\n",
|
||
|
"+++ 2.470e+02 2.465e+02 -8.000e+00 -4.500e+00 1.03 +++\n",
|
||
|
"+++ 2.470e+02 2.467e+02 -8.000e+00 -4.750e+00 0.579 +++\n",
|
||
|
"+++ 2.470e+02 2.466e+02 -8.000e+00 -4.625e+00 0.774 +++\n",
|
||
|
"+++ 2.470e+02 2.465e+02 -8.000e+00 -4.562e+00 0.894 +++\n",
|
||
|
"+++ 2.470e+02 2.465e+02 -8.000e+00 -4.531e+00 0.962 +++\n",
|
||
|
"+++ 2.470e+02 2.465e+02 -8.000e+00 -4.516e+00 0.997 +++\n",
|
||
|
"********************\n",
|
||
|
"0.265804 -0.541852 -1.72407 -1.91743 -2.44719 -2.78718 -8 -8\n",
|
||
|
"0.256844 0.213426 0.240643 0.20144 0.19476 0.162461 2 3.48438\n",
|
||
|
"********************\n"
|
||
|
]
|
||
|
}
|
||
|
],
|
||
|
"source": [
|
||
|
"p2, p2e = clag.errors(P2, p2, p2e)"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "code",
|
||
|
"execution_count": 9,
|
||
|
"metadata": {
|
||
|
"collapsed": false
|
||
|
},
|
||
|
"outputs": [
|
||
|
{
|
||
|
"data": {
|
||
|
"text/plain": [
|
||
|
"<Container object of 3 artists>"
|
||
|
]
|
||
|
},
|
||
|
"execution_count": 9,
|
||
|
"metadata": {},
|
||
|
"output_type": "execute_result"
|
||
|
},
|
||
|
{
|
||
|
"data": {
|
||
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAgkAAAFrCAYAAABbtho0AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nO7Svw/EBeo72MPuK2Uy
|
||
|
"text/plain": [
|
||
|
"<matplotlib.figure.Figure at 0x7f9bd0153d50>"
|
||
|
]
|
||
|
},
|
||
|
"metadata": {},
|
||
|
"output_type": "display_data"
|
||
|
}
|
||
|
],
|
||
|
"source": [
|
||
|
"xscale('log'); ylim(-6,2)\n",
|
||
|
"errorbar(fqd, p1, yerr=p1e, fmt='o', ms=10, color=\"green\")\n",
|
||
|
"errorbar(fqd, p2, yerr=p2e, fmt='o', ms=10, color=\"black\")"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "code",
|
||
|
"execution_count": 10,
|
||
|
"metadata": {
|
||
|
"collapsed": false
|
||
|
},
|
||
|
"outputs": [
|
||
|
{
|
||
|
"name": "stdout",
|
||
|
"output_type": "stream",
|
||
|
"text": [
|
||
|
" 1 2.077e+05 1.197e+01 inf -- 3.072e+02 -- -0.0167957 -0.659991 -1.75733 -2.01992 -2.58869 -2.93933 -6.08072 -8.3 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1\n",
|
||
|
" 3 3.271e+03 1.431e+01 2.187e+00 -- 3.094e+02 -- 0.0139188 -0.616992 -1.71242 -1.98591 -2.55782 -2.91741 -5.78072 -8 0.0404571 0.0959238 0.114705 0.117637 0.0759046 0.11315 2.83682 -2.97794\n",
|
||
|
" 5 3.402e+03 1.686e+01 2.074e+00 -- 3.115e+02 -- 0.0411101 -0.582169 -1.67612 -1.95765 -2.53188 -2.89876 -6.08072 -8 -0.00584518 0.0932078 0.124735 0.131247 0.0572905 0.124022 1.45283 -3.03469\n",
|
||
|
" 7 3.420e+03 1.966e+01 1.889e+00 -- 3.134e+02 -- 0.0650135 -0.553404 -1.64618 -1.93385 -2.50984 -2.88274 -5.78072 -8 -0.0424699 0.0913679 0.131869 0.14207 0.0426621 0.133189 -0.940465 1.19045\n",
|
||
|
" 9 2.868e+03 2.272e+01 1.819e+00 -- 3.152e+02 -- 0.0859844 -0.529292 -1.62113 -1.91359 -2.49094 -2.8689 -6.08072 -7.7 -0.0718915 0.0901134 0.137101 0.15086 0.0309294 0.141054 0.754261 2.5184\n",
|
||
|
" 11 5.181e+03 2.608e+01 1.679e+00 -- 3.169e+02 -- 0.104393 -0.508851 -1.59992 -1.8962 -2.4746 -2.85689 -5.78072 -8 -0.0958425 0.0892713 0.140997 0.158143 0.021406 0.147907 -0.44842 2.70944\n",
|
||
|
" 13 4.148e+04 2.974e+01 1.637e+00 -- 3.185e+02 -- 0.120579 -0.491366 -1.5818 -1.88115 -2.46039 -2.84641 -5.48072 -8 -0.115571 0.088729 0.14396 0.164245 0.0136007 0.153954 1.68591 0.219106\n",
|
||
|
" 15 1.364e+03 3.373e+01 1.423e+00 -- 3.199e+02 -- 0.134842 -0.476304 -1.56621 -1.86807 -2.44792 -2.83724 -5.18072 -7.7 -0.131975 0.0884089 0.146209 0.169436 0.00715737 0.159354 2.77837 -1.88001\n",
|
||
|
" 17 3.384e+03 3.807e+01 1.457e+00 -- 3.214e+02 -- 0.147438 -0.463252 -1.55271 -1.85663 -2.43694 -2.82923 -5.48072 -8 -0.145729 0.088245 0.147942 0.173866 0.00170694 0.164237 -0.858069 -3.03191\n",
|
||
|
" 19 5.448e+03 4.279e+01 1.401e+00 -- 3.228e+02 -- 0.15859 -0.451883 -1.54097 -1.84658 -2.42726 -2.82213 -5.78072 -8 -0.157362 0.0882266 0.149341 0.177654 -0.00272343 0.168668 0.243127 1.49491\n",
|
||
|
" 21 5.570e+02 4.789e+01 1.208e+00 -- 3.240e+02 -- 0.168487 -0.441941 -1.53072 -1.83772 -2.41866 -2.81587 -5.48072 -7.7 -0.167244 0.0883118 0.150432 0.180941 -0.00638645 0.172731 -2.75775 -2.43488\n",
|
||
|
" 23 5.770e+04 5.341e+01 1.297e+00 -- 3.253e+02 -- 0.177287 -0.433218 -1.52174 -1.82988 -2.411 -2.81036 -5.78072 -8 -0.175683 0.0884674 0.151298 0.18378 -0.00950607 0.176491 -0.399562 0.166824\n",
|
||
|
" 25 2.578e+03 5.934e+01 1.208e+00 -- 3.265e+02 -- 0.185129 -0.42554 -1.51385 -1.82293 -2.40415 -2.80545 -5.48072 -7.7 -0.182926 0.0886974 0.152004 0.18625 -0.0120039 0.179977 1.74647 1.42211\n",
|
||
|
" 27 4.862e+03 6.571e+01 1.069e+00 -- 3.276e+02 -- 0.192131 -0.418765 -1.5069 -1.81673 -2.39801 -2.8011 -5.18072 -7.4 -0.189156 0.0889782 0.152558 0.188415 -0.0140412 0.18323 2.48031 -0.745704\n",
|
||
|
" 29 9.405e+02 7.253e+01 9.711e-01 -- 3.285e+02 -- 0.198393 -0.412774 -1.50077 -1.81121 -2.39247 -2.79726 -5.17938 -7.7 -0.19453 0.0892935 0.153002 0.190299 -0.0157421 0.186287 -1.33712 -2.59349\n",
|
||
|
" 31 6.968e+03 7.979e+01 1.152e+00 -- 3.297e+02 -- 0.204002 -0.407466 -1.49534 -1.80628 -2.38752 -2.79383 -5.47938 -8 -0.199199 0.0896459 0.15344 0.191883 -0.0170844 0.18917 1.57648 -1.46962\n",
|
||
|
" 33 5.064e+03 8.750e+01 8.071e-01 -- 3.305e+02 -- 0.209036 -0.402755 -1.49055 -1.80185 -2.38303 -2.79076 -5.17938 -8 -0.203237 0.0900308 0.153771 0.193301 -0.0180605 0.19188 -2.99641 -1.64369\n",
|
||
|
" 35 4.661e+03 9.564e+01 1.077e+00 -- 3.316e+02 -- 0.213558 -0.398567 -1.48629 -1.79787 -2.37897 -2.78807 -5.47938 -8 -0.206743 0.0904245 0.154068 0.194501 -0.0188992 0.194463 0.599717 1.32447\n",
|
||
|
" 37 2.185e+04 1.042e+02 7.254e-01 -- 3.323e+02 -- 0.217628 -0.394841 -1.48253 -1.7943 -2.3753 -2.7856 -5.17938 -7.7 -0.209797 0.0908529 0.154345 0.195543 -0.0193431 0.196896 3.07347 -0.309744\n",
|
||
|
" 39 5.370e+02 1.132e+02 9.309e-01 -- 3.332e+02 -- 0.221294 -0.391521 -1.47918 -1.79107 -2.37197 -2.78346 -5.47938 -7.4 -0.212449 0.0912809 0.154587 0.196421 -0.0197202 0.199223 -0.122741 -2.19799\n",
|
||
|
" 41 4.124e+02 1.225e+02 8.464e-01 -- 3.341e+02 -- 0.224602 -0.38856 -1.47621 -1.78815 -2.36895 -2.78149 -5.17938 -7.7 -0.214768 0.0917346 0.154842 0.197156 -0.0197791 0.201426 0.185379 0.875823\n",
|
||
|
" 43 1.140e+04 1.321e+02 5.576e-01 -- 3.346e+02 -- 0.227588 -0.385917 -1.47357 -1.78551 -2.36621 -2.7797 -4.87938 -7.4 -0.216789 0.0922022 0.155086 0.197771 -0.0196213 0.203517 2.76502 -0.295434\n",
|
||
|
" 44 1.202e+03 9.319e+03 6.921e+00 -- 3.415e+02 -- 0.25457 -0.362307 -1.45009 -1.76155 -2.34098 -2.76463 -7.3588 -4.4 -0.234221 0.0967125 0.156919 0.202935 -0.0187407 0.223585 -3.03547 0.658572\n",
|
||
|
" 46 3.348e+03 2.383e+03 2.056e+00 -- 3.436e+02 -- 0.2541 -0.362138 -1.45037 -1.76118 -2.3417 -2.76372 -7.6588 -4.27727 -0.236662 0.0951999 0.162918 0.195741 -0.00804371 0.221694 2.83744 0.887952\n",
|
||
|
" 48 8.279e+03 1.188e+03 7.339e-01 -- 3.443e+02 -- 0.253984 -0.362098 -1.45055 -1.76083 -2.34195 -2.763 -7.9588 -4.18142 -0.238339 0.0952591 0.166595 0.190819 -0.00170333 0.220894 1.62132 0.948638\n",
|
||
|
" 50 5.831e+02 7.367e+02 4.678e-01 -- 3.448e+02 -- 0.25397 -0.362096 -1.45068 -1.76047 -2.34209 -2.76245 -7.6588 -4.11058 -0.239676 0.0957548 0.169216 0.186723 0.00306954 0.220363 -2.34059 0.972914\n",
|
||
|
" 52 1.225e+04 5.114e+02 3.593e-01 -- 3.452e+02 -- 0.254002 -0.36211 -1.45078 -1.76013 -2.34219 -2.76201 -7.9588 -4.05557 -0.240772 0.0964213 0.171173 0.183133 0.00691799 0.219951 -1.3379 0.984989\n",
|
||
|
" 54 2.908e+03 3.804e+02 2.971e-01 -- 3.455e+02 -- 0.254058 -0.362133 -1.45087 -1.75979 -2.34228 -2.76167 -8 -4.01135 -0.241679 0.0971513 0.172659 0.179917 0.0101243 0.219607 -2.58716 0.991938\n",
|
||
|
" 56 2.520e+04 2.966e+02 2.554e-01 -- 3.457e+02 -- 0.254126 -0.362159 -1.45094 -1.75946 -2.34236 -2.76142 -8 -3.975 -0.242428 0.0978921 0.17379 0.177 0.012847 0.219308 -0.893281 0.996473\n",
|
||
|
" 58 1.393e+04 2.392e+02 2.239e-01 -- 3.459e+02 -- 0.2542 -0.362187 -1.451 -1.75914 -2.34244 -2.76123 -8 -3.94463 -0.243046 0.098616 0.174644 0.174336 0.0151899 0.219038 0.548158 0.999814\n",
|
||
|
" 60 8.788e+02 1.978e+02 1.977e-01 -- 3.461e+02 -- 0.254275 -0.362215 -1.45106 -1.75884 -2.34252 -2.7611 -7.7 -3.919 -0.243552 0.0993077 0.175277 0.171891 0.0172264 0.218788 -2.44331 1.00258\n",
|
||
|
" 62 8.149e+03 1.668e+02 1.772e-01 -- 3.463e+02 -- 0.25435 -0.362242 -1.45111 -1.75855 -2.34259 -2.76101 -8 -3.89719 -0.243965 0.0999593 0.175731 0.169641 0.019011 0.218552 2.73951 1.0051\n",
|
||
|
" 64 3.097e+03 1.429e+02 1.584e-01 -- 3.465e+02 -- 0.254423 -0.362268 -1.45115 -1.75828 -2.34266 -2.76097 -8 -3.87855 -0.244298 0.100567 0.176038 0.167566 0.0205874 0.218325 0.780197 1.00758\n",
|
||
|
" 66 1.637e+03 1.238e+02 1.410e-01 -- 3.466e+02 -- 0.254493 -0.362292 -1.45119 -1.75803 -2.34273 -2.76096 -7.7 -3.86256 -0.244565 0.10113 0.176223 0.165649 0.02199 0.218102 -2.63332 1.01014\n",
|
||
|
" 68 1.780e+05 1.083e+02 1.272e-01 -- 3.467e+02 -- 0.254559 -0.362315 -1.45123 -1.75779 -2.34279 -2.76097 -8 -3.84883 -0.244776 0.101648 0.176309 0.163876 0.0232461 0.217881 -0.110744 1.01285\n",
|
||
|
" 70 2.894e+03 9.543e+01 1.126e-01 -- 3.469e+02 -- 0.254622 -0.362337 -1.45126 -1.75757 -2.34285 -2.761 -7.7 -3.83704 -0.244941 0.102124 0.176311 0.162237 0.0243797 0.217658 -1.79891 1.01576\n",
|
||
|
" 72 3.221e+03 8.461e+01 1.009e-01 -- 3.470e+02 -- 0.254681 -0.362357 -1.45129 -1.75736 -2.3429 -2.76105 -8 -3.8269 -0.245067 0.102559 0.176245 0.16072 0.025409 0.217434 -2.61948 1.01891\n",
|
||
|
" 73 3.986e+04 8.840e+04 3.099e+01 -- 3.160e+02 -- 0.255228 -0.362541 -1.45157 -1.75543 -2.3433 -2.76164 -8 -3.73993 -0.246022 0.106522 0.175014 0.146688 0.0348206 0.215163 -1.11659 1.05295\n",
|
||
|
" 75 8.896e+03 2.717e+02 3.098e+01 -- 3.469e+02 -- 0.254563 -0.362134 -1.45184 -1.757 -2.34298 -2.7592 -8 -3.74513 -0.25066 0.107475 0.155394 0.124168 0.0867597 0.167292 1.40399 1.0852\n",
|
||
|
" 76 1.040e+01 7.468e+01 5.524e-01 -- 3.475e+02 -- 0.254408 -0.362427 -1.45159 -1.7568 -2.33986 -2.76088 -5 -3.7742 -0.252304 0.108109 0.154003 0.131005 0.0778512 0.176436 2.13841 1.28287\n",
|
||
|
" 78 1.148e+02 6.144e+01 2.449e-01 -- 3.477e+02 -- 0.254428 -0.362448 -1.45159 -1.75668 -2.33984 -2.7612 -4.7 -3.77154 -0.252011 0.107845 0.155672 0.132885 0.0741505 0.180529 -0.0860208 1.27425\n",
|
||
|
" 80 5.736e-01 5.603e+01 5.946e-01 -- 3.483e+02 -- 0.254453 -0.362466 -1.4516 -1.75658 -2.33986 -2.76138 -4.45762 -3.76935 -0.251748 0.107647 0.157187 0.134499 0.0710198 0.184185 0.901147 1.267\n",
|
||
|
" 82 3.050e-01 5.070e+01 6.261e-01 -- 3.490e+02 -- 0.25448 -0.362483 -1.4516 -1.75645 -2.33989 -2.76144 -4.20194 -3.76751 -0.251481 0.107471 0.158475 0.136032 0.0683814 0.187492 0.910107 1.26066\n",
|
||
|
" 84 2.525e-01 4.649e+01 4.542e-01 -- 3.494e+02 -- 0.254511 -0.362499 -1.45161 -1.75631 -2.33995 -2.76134 -4.07732 -3.76602 -0.251239 0.107333 0.159592 0.137475 0.0662961 0.190508 0.913997 1.25501\n",
|
||
|
" 86 2.077e-01 4.317e+01 3.787e-01 -- 3.498e+02 -- 0.254544 -0.362513 -1.45163 -1.75617 -2.34003 -2.76113 -3.99339 -3.7648 -0.251017 0.107226 0.160556 0.138816 0.0646219 0.193263 0.917195 1.25003\n",
|
||
|
" 88 1.690e-01 4.054e+01 3.278e-01 -- 3.501e+02 -- 0.254579 -0.362526 -1.45164 -1.75602 -2.34015 -2.76083 -3.93087 -3.76381 -0.250811 0.107146 0.161384 0.140062 0.0632798 0.195783 0.92011 1.24565\n",
|
||
|
" 90 1.357e-01 3.844e+01 2.899e-01 -- 3.504e+02 -- 0.254615 -0.362538 -1.45165 -1.75588 -2.34028 -2.76046 -3.88172 -3.76302 -0.25062 0.107088 0.162091 0.141219 0.0622103 0.198094 0.922868 1.24181\n",
|
||
|
" 92 1.073e-01 3.979e+01 2.602e-01 -- 3.507e+02 -- 0.254653 -0.36255 -1.45167 -1.75573 -2.34044 -2.76004 -3.84172 -3.76239 -0.250443 0.107051 0.16269 0.142294 0.0613659 0.200217 0.925524 1.23844\n",
|
||
|
" 94 8.910e-02 4.379e+01 2.364e-01 -- 3.509e+02 -- 0.25469 -0.362561 -1.45169 -1.75559 -2.34061 -2.75957 -3.80836 -3.7619 -0.250278 0.10703 0.163195 0.143295 0.0607075 0.202171 0.928104 1.23549\n",
|
||
|
" 96 8.159e-02 4.824e+01 2.169e-01 -- 3.511e+02 -- 0.254729 -0.362572 -1.4517 -1.75545 -2.34079 -2.75908 -3.78005 -3.76152 -0.250125 0.107023 0.163616 0.144231 0.0602022 0.203972 0.930626 1.23291\n",
|
||
|
" 98 7.491e-02 5.321e+01 2.009e-01 -- 3.513e+02 -- 0.254767 -0.362582 -1.45172 -1.75531 -2.34099 -2.75856 -3.75567 -3.76124 -0.249983 0.107028 0.163963 0.145106 0.0598227 0.205636 0.933099 1.23064\n",
|
||
|
" 100 6.896e-02 5.877e+01 1.874e-01 -- 3.515e+02 -- 0.254805 -0.362593 -1.45174 -1.75518 -2.34119 -2.75803 -3.73444 -3.76104 -0.249849 0.107042 0.164245 0.145927 0.0595455 0.207177 0.935528 1.22866\n",
|
||
|
" 102 6.363e-02 6.501e+01 1.761e-01 -- 3.517e+02 -- 0.254843 -0.362603 -1.45176 -1.75505 -2.3414 -2.75749 -3.71578 -3.76092 -0.249724 0.107065 0.16447 0.1467 0.0593509 0.208605 0.937919 1.22691\n",
|
||
|
" 104 5.885e-02 7.201e+01 1.664e-01 -- 3.519e+02 -- 0.25488 -0.362613 -1.45178 -1.75493 -2.34162 -2.75695 -3.69927 -3.76085 -0.249607 0.107094 0.164646 0.14743 0.0592217 0.209933 0.940273 1.22537\n",
|
||
|
" 106 5.455e-02 7.989e+01 1.581e-01 -- 3.520e+02 -- 0.254916 -0.362622 -1.4518 -1.75482 -2.34183 -2.7564 -3.68456 -3.76083 -0.249496 0.107129 0.164779 0.148121 0.0591435 0.211168 0.942591 1.22401\n",
|
||
|
" 108 5.065e-02 8.875e+01 1.509e-01 -- 3.522e+02 -- 0.254952 -0.362632 -1.45182 -1.75471 -2.34205 -2.75586 -3.67139 -3.76085 -0.24939 0.107168 0.164876 0.148776 0.0591036 0.21232 0.944874 1.22279\n",
|
||
|
" 110 4.711e-02 9.874e+01 1.446e-01 -- 3.523e+02 -- 0.254988 -0.362641 -1.45184 -1.7546 -2.34226 -2.75533 -3.65956 -3.76091 -0.24929 0.10721 0.16494 0.149401 0.0590914 0.213396 0.947122 1.22169\n",
|
||
|
" 112 4.386e-02 1.100e+02 1.390e-01 -- 3.524e+02 -- 0.255022 -0.362651 -1.45186 -1.7545 -2.34248 -2.7548 -3.64889 -3.761 -0.249193 0.107255 0.164978 0.149997 0.0590972 0.214401 0.949333 1.22069\n",
|
||
|
" 114 4.086e-02 1.226e+02 1.340e-01 -- 3.526e+02 -- 0.255056 -0.36266 -1.45188 -1.75441 -2.34269 -2.75428 -3.63925 -3.76111 -0.249101 0.107302 0.164994 0.150567 0.0591131 0.215341 0.951506 1.21977\n",
|
||
|
" 116 3.807e-02 1.369e+02 1.295e-01 -- 3.527e+02 -- 0.255089 -0.362669 -1.4519 -1.75432 -2.3429 -2.75377 -3.63051 -3.76124 -0.24901 0.10735 0.164992 0.151115 0.0591318 0.216221 0.953639 1.21891\n",
|
||
|
" 118 3.543e-02 1.529e+02 1.253e-01 -- 3.528e+02 -- 0.255121 -0.362678 -1.45192 -1.75423 -2.3431 -2.75328 -3.62259 -3.76138 -0.248923 0.107399 0.164974 0.151642 0.0591471 0.217044 0.95573 1.21809\n",
|
||
|
" 120 3.292e-02 1.710e+02 1.213e-01 -- 3.530e+02 -- 0.255152 -0.362687 -1.45193 -1.75415 -2.3433 -2.7528 -3.61541 -3.76153 -0.248837 0.107449 0.164945 0.152149 0.0591535 0.217814 0.957773 1.2173\n",
|
||
|
" 122 3.110e-02 1.912e+02 1.176e-01 -- 3.531e+02 -- 0.255182 -0.362696 -1.45195 -1.75407 -2.34349 -2.75234 -3.60889 -3.76169 -0.248752 0.1075 0.164908 0.15264 0.0591462 0.218531 0.959768 1.21653\n",
|
||
|
" 124 3.007e-02 2.139e+02 1.139e-01 -- 3.532e+02 -- 0.255212 -0.362704 -1.45197 -1.754 -2.34368 -2.7519 -3.60297 -3.76186 -0.248668 0.107551 0.164864 0.153114 0.0591207 0.219197 0.961708 1.21577\n",
|
||
|
" 126 2.912e-02 2.393e+02 1.104e-01 -- 3.533e+02 -- 0.255241 -0.362713 -1.45199 -1.75393 -2.34386 -2.75147 -3.5976 -3.76202 -0.248584 0.107603 0.164817 0.153575 0.0590734 0.219814 0.963589 1.215\n",
|
||
|
" 128 2.825e-02 2.677e+02 1.069e-01 -- 3.534e+02 -- 0.255269 -0.362721 -1.45201 -1.75387 -2.34404 -2.75106 -3.59275 -3.76219 -0.2485 0.107655 0.164769 0.154022 0.0590009 0.220381 0.965407 1.21423\n",
|
||
|
" 130 2.746e-02 2.993e+02 1.034e-01 -- 3.535e+02 -- 0.255297 -0.362729 -1.45203 -1.75381 -2.34421 -2.75067 -3.58835 -3.76235 -0.248416 0.107708 0.164721 0.154457 0.0589 0.220898 0.967157 1.21345\n",
|
||
|
" 132 2.805e-02 3.345e+02 9.997e-02 -- 3.536e+02 -- 0.255324 -0.362737 -1.45205 -1.75375 -2.34437 -2.7503 -3.58439 -3.76251 -0.248331 0.107761 0.164676 0.154881 0.0587683 0.221364 0.968833 1.21265\n",
|
||
|
" 134 3.410e-02 3.735e+02 9.652e-02 -- 3.537e+02 -- 0.25535 -0.362745 -1.45207 -1.7537 -2.34453 -2.74995 -3.58082 -3.76266 -0.248245 0.107815 0.164635 0.155295 0.0586035 0.221779 0.970432 1.21184\n",
|
||
|
" 136 4.046e-02 4.168e+02 9.310e-02 -- 3.538e+02 -- 0.255376 -0.362753 -1.45208 -1.75365 -2.34469 -2.74962 -3.57761 -3.7628 -0.248158 0.10787 0.164599 0.1557 0.0584036 0.222141 0.97195 1.211\n",
|
||
|
" 138 4.708e-02 4.645e+02 8.971e-02 -- 3.539e+02 -- 0.255401 -0.36276 -1.4521 -1.7536 -2.34484 -2.74931 -3.57474 -3.76293 -0.248069 0.107925 0.164571 0.156096 0.0581673 0.222449 0.973382 1.21015\n",
|
||
|
" 140 5.391e-02 5.172e+02 8.638e-02 -- 3.540e+02 -- 0.255426 -0.362767 -1.45212 -1.75356 -2.34499 -2.74902 -3.57218 -3.76306 -0.247979 0.107983 0.16455 0.156484 0.0578935 0.222701 0.974726 1.20929\n",
|
||
|
" 142 6.088e-02 5.752e+02 8.313e-02 -- 3.541e+02 -- 0.25545 -0.362775 -1.45214 -1.75352 -2.34513 -2.74875 -3.56989 -3.76317 -0.247887 0.108041 0.164537 0.156864 0.0575814 0.222897 0.97598 1.2084\n",
|
||
|
" 144 6.792e-02 6.389e+02 7.999e-02 -- 3.541e+02 -- 0.255474 -0.362781 -1.45215 -1.75348 -2.34526 -2.74851 -3.56787 -3.76327 -0.247793 0.108101 0.164534 0.157238 0.0572308 0.223035 0.977144 1.20751\n",
|
||
|
" 146 7.496e-02 7.089e+02 7.699e-02 -- 3.542e+02 -- 0.255498 -0.362788 -1.45217 -1.75345 -2.3454 -2.74829 -3.56608 -3.76337 -0.247697 0.108163 0.164541 0.157606 0.0568421 0.223116 0.978218 1.20662\n",
|
||
|
" 148 8.194e-02 7.858e+02 7.415e-02 -- 3.543e+02 -- 0.255521 -0.362795 -1.45218 -1.75341 -2.34553 -2.74809 -3.56451 -3.76345 -0.247599 0.108227 0.164558 0.157967 0.0564161 0.22314 0.979203 1.20571\n",
|
||
|
" 150 8.877e-02 8.701e+02 7.150e-02 -- 3.544e+02 -- 0.255544 -0.362801 -1.4522 -1.75338 -2.34566 -2.74791 -3.56313 -3.76352 -0.247499 0.108292 0.164584 0.158323 0.0559538 0.223106 0.980101 1.20482\n",
|
||
|
" 152 9.539e-02 9.628e+02 6.905e-02 -- 3.544e+02 -- 0.255566 -0.362807 -1.45222 -1.75336 -2.34579 -2.74775 -3.56192 -3.76359 -0.247398 0.108359 0.16462 0.158673 0.0554571 0.223018 0.980916 1.20392\n",
|
||
|
" 154 1.017e-01 1.065e+03 6.682e-02 -- 3.545e+02 -- 0.255589 -0.362813 -1.45223 -1.75333 -2.34591 -2.74761 -3.56087 -3.76365 -0.247295 0.108428 0.164666 0.159017 0.0549281 0.222877 0.981651 1.20304\n",
|
||
|
" 156 1.077e-01 1.177e+03 6.480e-02 -- 3.546e+02 -- 0.255611 -0.362819 -1.45225 -1.75331 -2.34603 -2.74749 -3.55996 -3.76369 -0.247191 0.108499 0.164721 0.159357 0.0543694 0.222685 0.982311 1.20217\n",
|
||
|
" 158 1.132e-01 1.300e+03 6.299e-02 -- 3.546e+02 -- 0.255633 -0.362825 -1.45226 -1.75329 -2.34615 -2.74739 -3.55918 -3.76373 -0.247085 0.108571 0.164785 0.159691 0.0537841 0.222446 0.982901 1.20132\n",
|
||
|
" 160 1.182e-01 1.436e+03 6.139e-02 -- 3.547e+02 -- 0.255654 -0.36283 -1.45227 -1.75327 -2.34627 -2.74731 -3.55851 -3.76377 -0.246978 0.108645 0.164856 0.160019 0.0531753 0.222164 0.983425 1.20049\n",
|
||
|
" 162 1.227e-01 1.586e+03 6.000e-02 -- 3.547e+02 -- 0.255676 -0.362835 -1.45229 -1.75326 -2.34638 -2.74724 -3.55794 -3.76379 -0.246871 0.108719 0.164934 0.160342 0.0525467 0.221843 0.98389 1.19969\n",
|
||
|
" 164 1.266e-01 1.752e+03 5.878e-02 -- 3.548e+02 -- 0.255697 -0.36284 -1.4523 -1.75324 -2.34649 -2.74719 -3.55745 -3.76382 -0.246763 0.108795 0.165018 0.160659 0.0519018 0.221488 0.9843 1.19892\n",
|
||
|
" 166 1.299e-01 1.936e+03 5.774e-02 -- 3.549e+02 -- 0.255717 -0.362845 -1.45231 -1.75323 -2.3466 -2.74715 -3.55703 -3.76383 -0.246655 0.10887 0.165107 0.16097 0.0512446 0.221103 0.98466 1.19817\n",
|
||
|
" 167 8.335e-01 5.253e+05 1.229e+00 -- 3.561e+02 -- 0.255921 -0.362892 -1.45244 -1.75313 -2.34767 -2.74689 -3.55355 -3.76396 -0.245575 0.109632 0.166041 0.164016 0.0445881 0.217007 0.987818 1.19106\n",
|
||
|
" 169 4.967e-01 6.931e+04 9.078e-01 -- 3.570e+02 -- 0.256778 -0.363023 -1.45248 -1.75314 -2.34788 -2.74729 -3.55391 -3.76392 -0.240168 0.115356 0.168594 0.167645 0.0408715 0.213369 0.987598 1.19065\n",
|
||
|
" 171 3.048e-01 2.023e+05 2.339e-01 -- 3.572e+02 -- 0.257135 -0.363073 -1.4525 -1.75314 -2.348 -2.7475 -3.5541 -3.76389 -0.237882 0.117852 0.16997 0.169576 0.0388412 0.2114 0.98748 1.19042\n",
|
||
|
" 173 1.911e-01 2.661e+05 1.067e-01 -- 3.573e+02 -- 0.257299 -0.363094 -1.45251 -1.75314 -2.34807 -2.74763 -3.55422 -3.76388 -0.236811 0.118996 0.170757 0.170684 0.0376575 0.210262 0.987412 1.19029\n",
|
||
|
" 175 1.242e-01 3.120e+05 7.122e-02 -- 3.574e+02 -- 0.257367 -0.363102 -1.45252 -1.75313 -2.34811 -2.7477 -3.55428 -3.76387 -0.236362 0.119438 0.171223 0.171343 0.036938 0.209578 0.987372 1.19021\n",
|
||
|
" 177 8.518e-02 3.537e+05 6.017e-02 -- 3.575e+02 -- 0.257377 -0.363102 -1.45252 -1.75313 -2.34814 -2.74775 -3.55433 -3.76386 -0.236301 0.119504 0.171509 0.171751 0.0364794 0.209147 0.987347 1.19015\n",
|
||
|
" 178 8.968e+00 4.801e+09 1.203e+01 -- 3.454e+02 -- 0.25718 -0.363074 -1.45256 -1.7531 -2.34833 -2.74807 -3.55461 -3.76383 -0.236925 0.118229 0.173367 0.174411 0.0333719 0.206265 0.987183 1.18976\n",
|
||
|
" 181 2.164e+01 5.609e+09 1.234e+00 -- 3.467e+02 -- 0.254646 -0.363062 -1.45256 -1.7531 -2.34833 -2.74806 -3.55461 -3.76383 -0.215677 0.117722 0.173339 0.174333 0.0334359 0.206333 0.987186 1.18977\n",
|
||
|
" 184 5.483e+01 2.331e+10 1.652e+01 -- 3.302e+02 -- 0.252058 -0.363045 -1.45256 -1.7531 -2.34833 -2.74806 -3.5546 -3.76383 -0.169015 0.117128 0.173323 0.174259 0.0334941 0.206388 0.987189 1.18977\n",
|
||
|
" 188 6.183e+01 1.828e+10 5.801e+00 -- 3.360e+02 -- 0.252061 -0.363046 -1.45256 -1.7531 -2.34833 -2.74806 -3.5546 -3.76383 -0.178282 0.117142 0.173318 0.174255 0.0334983 0.206394 0.987189 1.18977\n",
|
||
|
" 192 5.885e+01 2.436e+10 3.844e+00 -- 3.321e+02 -- 0.253244 -0.363049 -1.45256 -1.7531 -2.34833 -2.74806 -3.5546 -3.76383 -0.189305 0.117135 0.173312 0.174248 0.0335015 0.206395 0.987189 1.18977\n",
|
||
|
" 196 2.129e+01 1.929e+10 7.309e+00 -- 3.394e+02 -- 0.252685 -0.363051 -1.45256 -1.7531 -2.34833 -2.74806 -3.5546 -3.76383 -0.200446 0.117182 0.173307 0.174242 0.0335052 0.206401 0.987189 1.18978\n",
|
||
|
" 200 2.206e+01 2.181e+10 2.023e+00 -- 3.374e+02 -- 0.253371 -0.363052 -1.45256 -1.7531 -2.34833 -2.74806 -3.5546 -3.76383 -0.204712 0.117211 0.173302 0.174232 0.0335083 0.206402 0.987189 1.18978\n",
|
||
|
" 204 8.299e+01 5.939e+10 2.238e+01 -- 3.150e+02 -- 0.254665 -0.363051 -1.45256 -1.7531 -2.34833 -2.74806 -3.5546 -3.76383 -0.200196 0.117131 0.173299 0.174226 0.0335125 0.206401 0.98719 1.18978\n",
|
||
|
" 208 9.303e+01 8.504e+10 5.484e+00 -- 3.095e+02 -- 0.255535 -0.363057 -1.45256 -1.7531 -2.34833 -2.74806 -3.5546 -3.76383 -0.216811 0.117221 0.173291 0.174227 0.0335159 0.206403 0.98719 1.18978\n",
|
||
|
" 212 6.491e+01 2.077e+11 3.885e+01 -- 2.707e+02 -- 0.254951 -0.36305 -1.45256 -1.7531 -2.34833 -2.74806 -3.5546 -3.76383 -0.196641 0.117099 0.173292 0.174214 0.0335247 0.206409 0.987191 1.18978\n",
|
||
|
" 217 1.111e+02 2.167e+11 3.081e+00 -- 2.676e+02 -- 0.25519 -0.363051 -1.45256 -1.7531 -2.34832 -2.74806 -3.5546 -3.76383 -0.197918 0.117105 0.173291 0.174215 0.0335252 0.206409 0.987191 1.18978\n",
|
||
|
" 221 2.876e+02 9.255e+11 1.181e+02 -- 1.495e+02 -- 0.254392 -0.363043 -1.45256 -1.7531 -2.34832 -2.74805 -3.5546 -3.76383 -0.175939 0.116879 0.173293 0.174201 0.0335327 0.206419 0.987192 1.18978\n",
|
||
|
" 225 1.234e+00 2.500e+08 2.070e+02 -- 3.565e+02 -- 0.257392 -0.363058 -1.45256 -1.7531 -2.34832 -2.74805 -3.5546 -3.76383 -0.226547 0.117399 0.173269 0.174192 0.0335295 0.206406 0.987194 1.18978\n",
|
||
|
" 226 5.528e+01 1.532e+11 3.627e+02 -- -6.266e+00 -- 0.253834 -0.36252 -1.45253 -1.75307 -2.34805 -2.74748 -3.5541 -3.76389 0.0531025 0.0821288 0.169868 0.16878 0.0388404 0.211605 0.987527 1.19032\n",
|
||
|
" 229 7.686e+00 1.730e+09 3.323e+02 -- 3.261e+02 -- 0.255597 -0.362547 -1.45253 -1.75307 -2.34807 -2.7475 -3.55413 -3.76389 0.08246 0.0832204 0.170036 0.169033 0.0385988 0.211368 0.987512 1.19029\n",
|
||
|
" 232 3.732e+00 4.680e+08 1.751e+01 -- 3.436e+02 -- 0.257357 -0.362572 -1.45254 -1.75307 -2.34808 -2.74752 -3.55415 -3.76389 0.0887979 0.0841294 0.170166 0.169243 0.0384008 0.211174 0.987501 1.19027\n",
|
||
|
" 235 3.446e+00 2.036e+08 5.719e+00 -- 3.493e+02 -- 0.258519 -0.362592 -1.45254 -1.75307 -2.34808 -2.74754 -3.55416 -3.76388 0.0921117 0.0848699 0.17027 0.169411 0.03824 0.211016 0.987491 1.19026\n",
|
||
|
" 237 2.034e+00 1.556e+08 4.483e-02 -- 3.492e+02 -- 0.26605 -0.36276 -1.45254 -1.75309 -2.34815 -2.74769 -3.55429 -3.76387 0.123855 0.0911334 0.171129 0.170821 0.0369156 0.209732 0.987409 1.19012\n",
|
||
|
" 239 1.466e+00 1.245e+08 2.780e+00 -- 3.520e+02 -- 0.259943 -0.362627 -1.45254 -1.75308 -2.34809 -2.74756 -3.55417 -3.76388 0.0986618 0.085177 0.170356 0.169568 0.0381123 0.210889 0.987481 1.19024\n",
|
||
|
" 241 1.862e+00 2.649e+08 3.442e+00 -- 3.486e+02 -- 0.266437 -0.362754 -1.45254 -1.75309 -2.34814 -2.74767 -3.55427 -3.76387 0.113128 0.0899647 0.170998 0.17062 0.0371147 0.209918 0.987421 1.19014\n",
|
||
|
" 243 1.266e+01 1.952e+09 9.726e+00 -- 3.388e+02 -- 0.259641 -0.362639 -1.45253 -1.75308 -2.34809 -2.74755 -3.55417 -3.76388 0.0920617 0.0850623 0.170303 0.169498 0.038182 0.210959 0.987481 1.19025\n",
|
||
|
" 246 3.739e+00 6.376e+08 9.943e+00 -- 3.488e+02 -- 0.260555 -0.362649 -1.45254 -1.75308 -2.3481 -2.74756 -3.55418 -3.76388 0.103714 0.0855166 0.170377 0.169607 0.0380736 0.210855 0.987475 1.19024\n",
|
||
|
" 249 7.179e+00 2.798e+08 3.620e+00 -- 3.524e+02 -- 0.261275 -0.362658 -1.45254 -1.75308 -2.3481 -2.74757 -3.55419 -3.76388 0.107592 0.0858678 0.170432 0.169696 0.0379917 0.210774 0.987471 1.19023\n",
|
||
|
" 251 6.516e-01 1.445e+07 2.805e+00 -- 3.552e+02 -- 0.260815 -0.362722 -1.45254 -1.75308 -2.34813 -2.74765 -3.55425 -3.76387 0.184829 0.0886738 0.170854 0.170348 0.0373649 0.210209 0.987427 1.19017\n",
|
||
|
" 253 3.810e+00 2.052e+08 1.727e+00 -- 3.535e+02 -- 0.257283 -0.362714 -1.45254 -1.75308 -2.34812 -2.74764 -3.55423 -3.76387 0.172785 0.088281 0.17073 0.170156 0.0375437 0.210382 0.987434 1.19018\n",
|
||
|
" 255 3.064e+00 8.311e+06 1.177e+00 -- 3.547e+02 -- 0.258177 -0.36276 -1.45254 -1.75308 -2.34815 -2.74769 -3.55428 -3.76387 0.238623 0.0899565 0.171066 0.170674 0.0370633 0.209939 0.987402 1.19013\n",
|
||
|
" 257 7.394e+00 3.133e+09 1.172e+01 -- 3.429e+02 -- 0.254324 -0.362757 -1.45254 -1.75308 -2.34814 -2.74767 -3.55426 -3.76387 0.165501 0.0891934 0.170888 0.170414 0.0372912 0.210148 0.987412 1.19016\n",
|
||
|
" 259 4.577e+00 8.174e+09 2.129e+01 -- 3.217e+02 -- 0.25069 -0.36289 -1.45254 -1.7531 -2.34818 -2.74774 -3.55433 -3.76386 0.0431235 0.0911987 0.171302 0.171131 0.0366077 0.209486 0.987358 1.19009\n",
|
||
|
" 261 2.816e+00 1.095e+09 2.508e+01 -- 3.467e+02 -- 0.259954 -0.363017 -1.45255 -1.75311 -2.34824 -2.74786 -3.55443 -3.76385 0.0628627 0.0987668 0.171982 0.172358 0.0355272 0.20841 0.987296 1.18998\n",
|
||
|
" 263 8.570e+00 1.645e+09 2.114e+00 -- 3.489e+02 -- 0.252615 -0.362928 -1.45254 -1.7531 -2.3482 -2.74777 -3.55435 -3.76386 0.0451626 0.0945636 0.171419 0.171452 0.0363838 0.209263 0.987344 1.19006\n",
|
||
|
" 266 6.015e+00 7.015e+08 4.892e+00 -- 3.537e+02 -- 0.254279 -0.362935 -1.45254 -1.7531 -2.3482 -2.74777 -3.55435 -3.76386 0.041292 0.0948982 0.171457 0.171509 0.0363216 0.209197 0.987341 1.19006\n",
|
||
|
" 269 2.525e+01 1.168e+08 3.655e+00 -- 3.574e+02 -- 0.256735 -0.362939 -1.45254 -1.7531 -2.3482 -2.74777 -3.55436 -3.76386 0.0388082 0.0951206 0.171485 0.171557 0.0362756 0.209144 0.98734 1.19005\n",
|
||
|
" 271 1.208e+01 6.119e+09 1.521e+01 -- 3.422e+02 -- 0.257086 -0.362929 -1.45255 -1.7531 -2.34821 -2.7478 -3.55437 -3.76386 0.136783 0.0964349 0.171623 0.17166 0.0360846 0.209008 0.987331 1.19003\n",
|
||
|
" 273 6.524e+01 2.429e+09 1.264e+01 -- 3.548e+02 -- 0.249456 -0.36281 -1.45255 -1.75308 -2.34818 -2.74774 -3.55432 -3.76386 0.302002 0.0935984 0.171321 0.171267 0.0365623 0.209564 0.98736 1.19009\n",
|
||
|
" 277 8.104e+01 1.297e+10 5.058e+00 -- 3.498e+02 -- 0.248213 -0.362807 -1.45255 -1.75308 -2.34818 -2.74775 -3.55432 -3.76386 0.321703 0.0935769 0.171325 0.171264 0.0365626 0.209571 0.987359 1.19009\n",
|
||
|
" 282 2.328e+01 1.055e+10 1.358e+00 -- 3.511e+02 -- 0.248486 -0.362807 -1.45255 -1.75308 -2.34818 -2.74775 -3.55432 -3.76386 0.319096 0.0935799 0.171325 0.171264 0.0365624 0.20957 0.987359 1.19009\n",
|
||
|
" 286 6.803e+00 3.491e+09 3.884e+00 -- 3.550e+02 -- 0.249067 -0.362804 -1.45255 -1.75308 -2.34818 -2.74775 -3.55432 -3.76386 0.326525 0.0936242 0.171326 0.171261 0.0365618 0.209572 0.98736 1.19009\n",
|
||
|
" 291 6.563e+01 1.909e+09 6.548e-01 -- 3.557e+02 -- 0.249237 -0.362804 -1.45255 -1.75308 -2.34818 -2.74775 -3.55432 -3.76386 0.326513 0.0936243 0.171326 0.171261 0.0365619 0.209571 0.98736 1.19009\n",
|
||
|
" 295 2.097e+01 5.540e+08 7.801e-01 -- 3.565e+02 -- 0.249081 -0.362799 -1.45255 -1.75307 -2.34818 -2.74775 -3.55432 -3.76386 0.347942 0.093616 0.171332 0.171258 0.0365647 0.209579 0.98736 1.19009\n",
|
||
|
" 299 5.078e+01 2.673e+09 1.016e+00 -- 3.554e+02 -- 0.248981 -0.362802 -1.45255 -1.75307 -2.34818 -2.74775 -3.55432 -3.76386 0.340645 0.0934478 0.171333 0.171274 0.0365637 0.209578 0.98736 1.19009\n",
|
||
|
" 304 1.217e+02 6.839e+08 7.133e-01 -- 3.562e+02 -- 0.249232 -0.362802 -1.45255 -1.75307 -2.34818 -2.74775 -3.55432 -3.76386 0.338915 0.0934395 0.171333 0.171274 0.0365637 0.209577 0.98736 1.19009\n",
|
||
|
" 308 8.032e-01 2.458e+07 1.069e+00 -- 3.551e+02 -- 0.252232 -0.362801 -1.45255 -1.75308 -2.34818 -2.74774 -3.55432 -3.76386 0.297682 0.0932028 0.17133 0.171276 0.0365613 0.209559 0.987364 1.19009\n",
|
||
|
" 310 2.176e+00 1.190e+08 1.235e+00 -- 3.539e+02 -- 0.24778 -0.362787 -1.45255 -1.75307 -2.34817 -2.74773 -3.55431 -3.76386 0.321591 0.0922355 0.17126 0.171144 0.0366787 0.209695 0.987368 1.1901\n",
|
||
|
" 313 7.459e+00 1.929e+07 9.609e-01 -- 3.548e+02 -- 0.249155 -0.36279 -1.45255 -1.75307 -2.34817 -2.74774 -3.55432 -3.76386 0.314594 0.0923622 0.171282 0.171188 0.0366438 0.209658 0.987366 1.1901\n",
|
||
|
" 315 5.281e+00 2.205e+08 1.301e+00 -- 3.561e+02 -- 0.255257 -0.362875 -1.45254 -1.75309 -2.34819 -2.74775 -3.55434 -3.76386 0.0799459 0.0941447 0.171371 0.171431 0.0364087 0.209347 0.987352 1.19007\n",
|
||
|
" 318 4.407e+00 4.106e+07 1.134e+00 -- 3.572e+02 -- 0.256315 -0.362879 -1.45254 -1.75309 -2.3482 -2.74775 -3.55434 -3.76386 0.0757242 0.0943132 0.171389 0.17146 0.0363794 0.209314 0.987352 1.19007\n",
|
||
|
" 321 7.132e+00 7.906e+07 6.987e-01 -- 3.579e+02 -- 0.25764 -0.362879 -1.45254 -1.75309 -2.3482 -2.74775 -3.55434 -3.76386 0.0723873 0.0944535 0.171398 0.171474 0.0363617 0.209289 0.987352 1.19007\n",
|
||
|
" 324 7.614e+00 3.913e+07 3.547e-01 -- 3.576e+02 -- 0.258611 -0.362877 -1.45254 -1.75309 -2.3482 -2.74775 -3.55434 -3.76386 0.0775498 0.0944425 0.171402 0.17148 0.0363586 0.209281 0.987353 1.19007\n",
|
||
|
" 327 1.263e+00 4.729e+07 5.561e-01 -- 3.570e+02 -- 0.258918 -0.362873 -1.45254 -1.75309 -2.3482 -2.74775 -3.55434 -3.76386 0.0834542 0.0943921 0.171395 0.171469 0.0363714 0.20929 0.987354 1.19007\n",
|
||
|
" 330 1.910e+01 8.393e+07 7.689e-01 -- 3.578e+02 -- 0.258007 -0.362872 -1.45254 -1.75309 -2.34819 -2.74775 -3.55434 -3.76386 0.0845079 0.0943617 0.171384 0.171449 0.036389 0.20931 0.987354 1.19007\n",
|
||
|
" 333 2.525e+01 1.008e+08 2.575e-01 -- 3.581e+02 -- 0.258286 -0.362878 -1.45254 -1.75309 -2.3482 -2.74774 -3.55434 -3.76386 0.0683659 0.0944189 0.171376 0.171441 0.0363934 0.209307 0.987354 1.19007\n",
|
||
|
" 336 5.562e+00 5.143e+07 4.538e-01 -- 3.576e+02 -- 0.25833 -0.362872 -1.45254 -1.75309 -2.34819 -2.74775 -3.55434 -3.76386 0.0856295 0.0943039 0.171382 0.171444 0.036396 0.209312 0.987355 1.19007\n",
|
||
|
" 339 1.157e+01 9.557e+07 2.073e-01 -- 3.578e+02 -- 0.257744 -0.36287 -1.45254 -1.75309 -2.34819 -2.74775 -3.55434 -3.76386 0.0903926 0.0942372 0.171377 0.171435 0.0364077 0.209327 0.987355 1.19007\n",
|
||
|
" 342 1.068e+01 9.556e+08 3.223e+00 -- 3.546e+02 -- 0.260013 -0.36287 -1.45254 -1.75309 -2.34819 -2.74774 -3.55434 -3.76386 0.0799386 0.0943017 0.171369 0.171427 0.0364092 0.20932 0.987357 1.19007\n",
|
||
|
" 345 4.170e+01 1.886e+08 2.403e+00 -- 3.570e+02 -- 0.258928 -0.362866 -1.45254 -1.75309 -2.34819 -2.74774 -3.55433 -3.76386 0.0884755 0.0939485 0.171358 0.171408 0.0364383 0.209351 0.987358 1.19008\n",
|
||
|
" 348 2.879e+01 9.511e+07 1.296e+00 -- 3.583e+02 -- 0.258843 -0.362878 -1.45254 -1.75309 -2.34819 -2.74774 -3.55433 -3.76386 0.0515822 0.0941797 0.171336 0.171408 0.0364491 0.209351 0.987357 1.19008\n",
|
||
|
" 351 4.880e+01 1.238e+08 3.808e-01 -- 3.579e+02 -- 0.259089 -0.362884 -1.45254 -1.75309 -2.34819 -2.74774 -3.55434 -3.76386 0.0367321 0.0942631 0.171336 0.171434 0.0364398 0.209343 0.987356 1.19008\n",
|
||
|
" 354 1.177e+02 4.510e+08 6.040e-01 -- 3.573e+02 -- 0.259363 -0.362893 -1.45254 -1.7531 -2.34819 -2.74774 -3.55434 -3.76386 0.0188061 0.094653 0.171334 0.171438 0.0364246 0.209325 0.987355 1.19007\n",
|
||
|
" 357 1.797e+01 2.155e+08 1.342e+00 -- 3.586e+02 -- 0.259777 -0.362885 -1.45254 -1.7531 -2.34819 -2.74774 -3.55434 -3.76386 0.0409415 0.0945432 0.171355 0.171458 0.0364111 0.209306 0.987355 1.19007\n",
|
||
|
" 359 2.641e+04 1.751e+14 2.177e+03 -- -1.818e+03 -- 0.258935 -0.362902 -1.45254 -1.7531 -2.3482 -2.74773 -3.55433 -3.76386 -0.0326452 0.0965976 0.171306 0.171256 0.0364091 0.20932 0.987355 1.19007\n",
|
||
|
" 368 1.789e+04 2.368e+14 3.546e+02 -- -2.173e+03 -- 0.258935 -0.362902 -1.45254 -1.7531 -2.3482 -2.74773 -3.55433 -3.76386 -0.0326366 0.0965975 0.171306 0.171256 0.0364091 0.20932 0.987355 1.19007\n",
|
||
|
" 372 6.690e-01 1.850e+06 2.525e+03 -- 3.517e+02 -- 0.261935 -0.363089 -1.45251 -1.75324 -2.3482 -2.74767 -3.55432 -3.76386 -0.616453 0.0981103 0.170229 0.17144 0.0374651 0.209113 0.987434 1.19006\n",
|
||
|
" 374 6.163e-01 2.129e+05 2.479e+00 -- 3.542e+02 -- 0.258997 -0.363262 -1.45252 -1.75326 -2.34833 -2.7479 -3.55454 -3.76384 -0.578257 0.104674 0.17185 0.173716 0.0352143 0.206809 0.987308 1.18982\n",
|
||
|
" 376 5.913e-01 6.432e+05 1.228e+00 -- 3.554e+02 -- 0.256225 -0.363323 -1.45253 -1.75326 -2.3484 -2.74802 -3.55465 -3.76382 -0.542617 0.108165 0.172695 0.174865 0.0340199 0.205587 0.987244 1.18969\n",
|
||
|
" 378 5.514e-01 8.533e+05 7.479e-01 -- 3.561e+02 -- 0.254051 -0.363342 -1.45253 -1.75326 -2.34844 -2.74809 -3.55472 -3.76382 -0.510533 0.110241 0.173163 0.175487 0.0333382 0.204888 0.987208 1.18961\n",
|
||
|
" 380 5.180e-01 1.004e+06 4.971e-01 -- 3.566e+02 -- 0.25242 -0.363341 -1.45254 -1.75326 -2.34846 -2.74813 -3.55476 -3.76381 -0.482381 0.111475 0.17342 0.175814 0.0329481 0.204485 0.987189 1.18957\n",
|
||
|
" 382 4.902e-01 1.139e+06 3.585e-01 -- 3.570e+02 -- 0.25124 -0.36333 -1.45254 -1.75326 -2.34847 -2.74815 -3.55478 -3.76381 -0.457393 0.112191 0.173555 0.175975 0.0327287 0.204255 0.987179 1.18954\n",
|
||
|
" 384 4.537e-01 1.276e+06 2.752e-01 -- 3.573e+02 -- 0.250444 -0.363315 -1.45254 -1.75326 -2.34848 -2.74816 -3.55479 -3.76381 -0.434971 0.112595 0.173618 0.176038 0.0326106 0.204128 0.987175 1.18953\n",
|
||
|
" 386 4.177e-01 1.422e+06 2.177e-01 -- 3.575e+02 -- 0.249927 -0.363298 -1.45254 -1.75326 -2.34849 -2.74816 -3.55479 -3.76381 -0.415237 0.112771 0.173639 0.176044 0.0325551 0.204065 0.987174 1.18952\n",
|
||
|
" 388 3.997e-01 1.582e+06 1.784e-01 -- 3.577e+02 -- 0.249603 -0.36328 -1.45254 -1.75325 -2.34849 -2.74816 -3.55479 -3.76381 -0.397894 0.112831 0.173635 0.176017 0.0325368 0.20404 0.987175 1.18952\n",
|
||
|
" 390 3.521e-01 1.759e+06 1.541e-01 -- 3.578e+02 -- 0.24945 -0.363264 -1.45254 -1.75325 -2.34849 -2.74816 -3.55479 -3.76381 -0.381991 0.11281 0.173617 0.175973 0.0325408 0.204038 0.987177 1.18952\n",
|
||
|
" 392 2.781e-01 1.955e+06 1.294e-01 -- 3.580e+02 -- 0.249369 -0.363247 -1.45254 -1.75325 -2.34849 -2.74815 -3.55479 -3.76381 -0.368541 0.112703 0.17359 0.175916 0.0325603 0.204053 0.98718 1.18952\n",
|
||
|
" 394 3.503e-01 2.172e+06 1.069e-01 -- 3.581e+02 -- 0.249517 -0.363233 -1.45254 -1.75325 -2.34849 -2.74815 -3.55479 -3.76381 -0.35829 0.112607 0.173559 0.17586 0.0325849 0.204074 0.987183 1.18952\n",
|
||
|
" 396 2.380e-01 2.413e+06 1.111e-01 -- 3.582e+02 -- 0.249439 -0.363219 -1.45254 -1.75325 -2.34849 -2.74814 -3.55478 -3.76381 -0.345741 0.112463 0.173528 0.175799 0.0326152 0.204099 0.987186 1.18952\n",
|
||
|
" 398 2.527e-01 2.681e+06 9.063e-02 -- 3.583e+02 -- 0.249818 -0.363207 -1.45254 -1.75325 -2.34849 -2.74814 -3.55478 -3.76381 -0.337514 0.112322 0.173495 0.175737 0.0326474 0.204127 0.987189 1.18952\n",
|
||
|
" 400 1.574e-01 2.980e+06 8.735e-02 -- 3.583e+02 -- 0.24992 -0.363195 -1.45254 -1.75324 -2.34849 -2.74813 -3.55478 -3.76381 -0.328983 0.112124 0.17346 0.175677 0.0326852 0.204162 0.987193 1.18953\n",
|
||
|
" 402 4.787e-02 3.312e+06 7.415e-02 -- 3.584e+02 -- 0.250149 -0.363185 -1.45254 -1.75324 -2.34848 -2.74813 -3.55477 -3.76381 -0.323806 0.111956 0.173429 0.175624 0.0327188 0.204194 0.987196 1.18953\n",
|
||
|
" 404 1.565e-01 3.682e+06 6.319e-02 -- 3.585e+02 -- 0.250644 -0.363177 -1.45254 -1.75324 -2.34848 -2.74812 -3.55477 -3.76381 -0.322256 0.111821 0.173403 0.175576 0.0327469 0.204218 0.987198 1.18953\n",
|
||
|
" 406 1.014e-01 4.089e+06 7.156e-02 -- 3.586e+02 -- 0.250855 -0.363169 -1.45254 -1.75324 -2.34848 -2.74812 -3.55477 -3.76381 -0.317211 0.111743 0.17338 0.175533 0.0327711 0.20424 0.9872 1.18953\n",
|
||
|
" 408 6.026e-02 4.546e+06 6.444e-02 -- 3.586e+02 -- 0.250942 -0.363162 -1.45254 -1.75324 -2.34848 -2.74812 -3.55476 -3.76381 -0.313996 0.111664 0.173354 0.175484 0.032799 0.204265 0.987203 1.18954\n",
|
||
|
" 410 5.353e-02 5.051e+06 6.122e-02 -- 3.587e+02 -- 0.251214 -0.363156 -1.45254 -1.75324 -2.34848 -2.74811 -3.55476 -3.76381 -0.312103 0.111601 0.173334 0.175452 0.0328209 0.204283 0.987205 1.18954\n",
|
||
|
" 412 3.313e-01 5.616e+06 5.936e-02 -- 3.587e+02 -- 0.25132 -0.36315 -1.45254 -1.75324 -2.34848 -2.74811 -3.55476 -3.76381 -0.310433 0.111483 0.173315 0.175418 0.0328405 0.204302 0.987206 1.18954\n",
|
||
|
" 414 2.458e-01 6.221e+06 8.104e-02 -- 3.588e+02 -- 0.25152 -0.363144 -1.45254 -1.75324 -2.34848 -2.74811 -3.55476 -3.76381 -0.300149 0.111342 0.173305 0.175396 0.0328536 0.204313 0.987208 1.18954\n",
|
||
|
" 416 3.303e-01 6.940e+06 4.243e-02 -- 3.589e+02 -- 0.252529 -0.363141 -1.45254 -1.75324 -2.34848 -2.7481 -3.55475 -3.76381 -0.307525 0.111245 0.173274 0.175347 0.0328886 0.204345 0.987211 1.18954\n",
|
||
|
" 418 2.732e-01 7.749e+06 7.538e-02 -- 3.589e+02 -- 0.251523 -0.363133 -1.45254 -1.75324 -2.34848 -2.7481 -3.55475 -3.76381 -0.297369 0.111097 0.173256 0.175306 0.0329145 0.204372 0.987212 1.18955\n",
|
||
|
" 420 2.171e-01 8.619e+06 6.585e-02 -- 3.590e+02 -- 0.250986 -0.363128 -1.45254 -1.75324 -2.34848 -2.7481 -3.55475 -3.76381 -0.289245 0.110957 0.173254 0.175304 0.0329193 0.204375 0.987213 1.18955\n",
|
||
|
" 422 1.367e-01 9.558e+06 6.498e-02 -- 3.591e+02 -- 0.25117 -0.363126 -1.45254 -1.75324 -2.34848 -2.7481 -3.55475 -3.76381 -0.282965 0.110892 0.173251 0.175291 0.0329228 0.204377 0.987213 1.18955\n",
|
||
|
" 424 1.078e-01 1.065e+07 5.047e-02 -- 3.591e+02 -- 0.250283 -0.363121 -1.45254 -1.75324 -2.34848 -2.7481 -3.55475 -3.76381 -0.279096 0.110663 0.173235 0.175263 0.0329452 0.204402 0.987215 1.18955\n",
|
||
|
" 426 6.572e-01 1.172e+07 3.144e-02 -- 3.592e+02 -- 0.249336 -0.363121 -1.45254 -1.75324 -2.34848 -2.7481 -3.55475 -3.76381 -0.282104 0.11081 0.173244 0.175268 0.03293 0.204387 0.987213 1.18955\n",
|
||
|
" 428 5.054e-01 1.316e+07 7.386e-02 -- 3.592e+02 -- 0.249036 -0.36312 -1.45254 -1.75324 -2.34848 -2.74811 -3.55475 -3.76381 -0.263564 0.110889 0.173276 0.175312 0.0328876 0.204345 0.987211 1.18954\n",
|
||
|
" 430 1.710e+00 1.428e+07 5.282e-02 -- 3.593e+02 -- 0.249406 -0.363114 -1.45254 -1.75324 -2.34848 -2.7481 -3.55475 -3.76381 -0.250243 0.110635 0.173257 0.175261 0.0329177 0.204379 0.987214 1.18955\n",
|
||
|
" 432 7.772e-01 1.655e+07 5.093e-02 -- 3.593e+02 -- 0.251439 -0.363115 -1.45254 -1.75324 -2.34847 -2.74809 -3.55474 -3.76381 -0.293033 0.1105 0.173206 0.175194 0.0329741 0.20443 0.987218 1.18955\n",
|
||
|
" 434 1.590e+00 1.724e+07 4.105e-02 -- 3.593e+02 -- 0.251114 -0.363123 -1.45254 -1.75324 -2.34848 -2.7481 -3.55475 -3.76381 -0.315808 0.11098 0.173234 0.175245 0.0329205 0.20438 0.987214 1.18955\n",
|
||
|
" 436 2.078e+00 1.442e+07 6.228e-02 -- 3.594e+02 -- 0.252467 -0.36312 -1.45254 -1.75324 -2.34848 -2.74811 -3.55476 -3.76381 -0.265603 0.111067 0.173304 0.17534 0.0328373 0.204281 0.987211 1.18954\n",
|
||
|
" 438 2.622e+00 2.092e+07 1.046e-01 -- 3.595e+02 -- 0.249064 -0.363089 -1.45254 -1.75323 -2.34847 -2.74809 -3.55474 -3.76381 -0.210422 0.109904 0.173201 0.175158 0.0330073 0.204453 0.987222 1.18955\n",
|
||
|
" 440 2.370e-01 2.398e+07 1.058e-01 -- 3.596e+02 -- 0.250133 -0.363091 -1.45254 -1.75324 -2.34847 -2.74808 -3.55473 -3.76381 -0.265588 0.109484 0.173108 0.175038 0.033125 0.204566 0.987227 1.18957\n",
|
||
|
" 442 6.561e-01 2.389e+07 2.821e-02 -- 3.595e+02 -- 0.247097 -0.363105 -1.45254 -1.75324 -2.34847 -2.74809 -3.55474 -3.76381 -0.271884 0.110528 0.173184 0.175113 0.033014 0.204456 0.987219 1.18955\n",
|
||
|
" 444 5.072e+00 5.109e+08 1.835e+00 -- 3.577e+02 -- 0.236997 -0.363105 -1.45255 -1.75323 -2.34848 -2.74811 -3.55476 -3.76381 -0.254045 0.11072 0.173288 0.175291 0.0328836 0.204367 0.987207 1.18954\n",
|
||
|
" 447 1.057e+01 4.593e+08 1.662e-01 -- 3.579e+02 -- 0.237886 -0.363111 -1.45255 -1.75323 -2.34848 -2.74812 -3.55476 -3.76381 -0.266931 0.110974 0.173303 0.175328 0.0328554 0.204341 0.987206 1.18954\n",
|
||
|
" 450 7.338e+01 1.668e+10 1.284e+01 -- 3.450e+02 -- 0.229947 -0.363104 -1.45255 -1.75323 -2.34848 -2.74812 -3.55476 -3.76381 -0.238724 0.11079 0.17333 0.175359 0.032836 0.204334 0.987203 1.18954\n",
|
||
|
" 454 1.669e+01 4.660e+07 1.379e+01 -- 3.588e+02 -- 0.232947 -0.363102 -1.45255 -1.75323 -2.34848 -2.74812 -3.55476 -3.76381 -0.221206 0.110782 0.173331 0.175354 0.0328338 0.204323 0.987204 1.18953\n",
|
||
|
" 457 6.736e+00 7.637e+07 8.954e-03 -- 3.588e+02 -- 0.236984 -0.363112 -1.45255 -1.75323 -2.34848 -2.74812 -3.55476 -3.76381 -0.258136 0.110966 0.173339 0.17538 0.0328089 0.204294 0.987203 1.18953\n",
|
||
|
" 460 6.471e+00 9.704e+06 4.604e-01 -- 3.593e+02 -- 0.236655 -0.363111 -1.45255 -1.75323 -2.34849 -2.74813 -3.55477 -3.76381 -0.240747 0.111111 0.173355 0.1754 0.0327882 0.204273 0.987202 1.18953\n",
|
||
|
" 463 8.613e+00 4.704e+07 4.115e-01 -- 3.597e+02 -- 0.237547 -0.36311 -1.45255 -1.75323 -2.34849 -2.74813 -3.55477 -3.76381 -0.225168 0.111183 0.173367 0.17542 0.032773 0.204255 0.987202 1.18953\n",
|
||
|
" 466 3.362e+00 7.507e+07 1.913e-01 -- 3.599e+02 -- 0.238404 -0.363107 -1.45255 -1.75323 -2.34849 -2.74813 -3.55477 -3.76381 -0.205775 0.111127 0.173375 0.175432 0.0327636 0.204245 0.987202 1.18953\n",
|
||
|
" 468 3.391e+01 6.069e+07 2.465e-01 -- 3.596e+02 -- 0.233164 -0.363093 -1.45255 -1.75323 -2.34849 -2.74813 -3.55477 -3.76381 -0.136596 0.111009 0.173402 0.175399 0.0327685 0.204241 0.987201 1.18953\n",
|
||
|
" 471 1.410e+02 2.370e+07 3.883e-01 -- 3.592e+02 -- 0.228233 -0.363082 -1.45255 -1.75323 -2.34849 -2.74813 -3.55477 -3.76381 -0.0902722 0.110874 0.173404 0.175393 0.0327806 0.204258 0.987201 1.18953\n",
|
||
|
" 472 4.001e+00 6.877e+07 5.523e+01 -- 3.040e+02 -- 0.144854 -0.360368 -1.4527 -1.75287 -2.34832 -2.74795 -3.55454 -3.76384 0.073615 0.0439555 0.174963 0.172283 0.0343795 0.20623 0.987592 1.18965\n",
|
||
|
" 474 4.449e+00 9.477e+04 4.908e+01 -- 3.531e+02 -- 0.178975 -0.361472 -1.45258 -1.7526 -2.34944 -2.74907 -3.55594 -3.76368 0.0676088 0.0602605 0.184173 0.186509 0.0206225 0.191289 0.986849 1.18821\n",
|
||
|
" 476 7.496e+00 1.443e+05 8.590e-01 -- 3.539e+02 -- 0.184083 -0.361709 -1.45256 -1.75266 -2.34954 -2.74923 -3.5561 -3.76366 0.0375291 0.0666604 0.184752 0.186797 0.01903 0.189498 0.986749 1.188\n",
|
||
|
" 478 2.779e+01 1.616e+05 4.958e-01 -- 3.544e+02 -- 0.188654 -0.361864 -1.45255 -1.75273 -2.34955 -2.74927 -3.55613 -3.76365 0.00939594 0.0715689 0.184457 0.186024 0.018875 0.189182 0.986725 1.18796\n",
|
||
|
" 480 1.441e+01 1.748e+05 3.655e-01 -- 3.548e+02 -- 0.192925 -0.361971 -1.45254 -1.7528 -2.34952 -2.74926 -3.55609 -3.76366 -0.0167118 0.075451 0.183801 0.184833 0.0193558 0.189523 0.986735 1.18799\n",
|
||
|
" 482 5.419e+00 1.903e+05 3.047e-01 -- 3.551e+02 -- 0.196991 -0.36205 -1.45252 -1.75286 -2.34949 -2.74921 -3.55603 -3.76366 -0.0407928 0.0786126 0.183025 0.183518 0.020092 0.190136 0.986762 1.18805\n",
|
||
|
" 484 3.210e+00 2.094e+05 2.684e-01 -- 3.554e+02 -- 0.20088 -0.36211 -1.45251 -1.75292 -2.34944 -2.74916 -3.55596 -3.76367 -0.0629001 0.081257 0.18224 0.182224 0.0208981 0.190834 0.986794 1.18811\n",
|
||
|
" 486 2.214e+00 2.319e+05 2.427e-01 -- 3.556e+02 -- 0.204623 -0.362158 -1.4525 -1.75296 -2.3494 -2.74911 -3.55589 -3.76368 -0.0830936 0.0835154 0.181498 0.181014 0.0216866 0.191527 0.986828 1.18818\n",
|
||
|
" 488 1.641e+00 2.576e+05 2.220e-01 -- 3.558e+02 -- 0.2082 -0.362199 -1.45249 -1.753 -2.34936 -2.74906 -3.55583 -3.76369 -0.101492 0.0854718 0.18082 0.179912 0.0224199 0.192178 0.986859 1.18824\n",
|
||
|
" 490 1.279e+00 2.867e+05 2.041e-01 -- 3.560e+02 -- 0.21159 -0.362234 -1.45249 -1.75303 -2.34933 -2.74901 -3.55577 -3.76369 -0.118149 0.0871837 0.18021 0.178923 0.0230854 0.192771 0.986888 1.1883\n",
|
||
|
" 492 1.019e+00 3.190e+05 1.889e-01 -- 3.562e+02 -- 0.214798 -0.362264 -1.45248 -1.75306 -2.3493 -2.74897 -3.55572 -3.7637 -0.133264 0.0886906 0.179665 0.178041 0.0236819 0.193305 0.986915 1.18835\n",
|
||
|
" 494 8.350e-01 3.550e+05 1.755e-01 -- 3.564e+02 -- 0.217839 -0.362291 -1.45247 -1.75309 -2.34927 -2.74893 -3.55567 -3.76371 -0.146847 0.0900198 0.179181 0.177257 0.024214 0.193782 0.986939 1.1884\n",
|
||
|
" 496 6.864e-01 3.949e+05 1.631e-01 -- 3.566e+02 -- 0.220677 -0.362314 -1.45247 -1.75311 -2.34924 -2.74889 -3.55563 -3.76371 -0.159109 0.0911918 0.178751 0.17656 0.0246885 0.19421 0.98696 1.18844\n",
|
||
|
" 498 5.835e-01 4.392e+05 1.520e-01 -- 3.567e+02 -- 0.223333 -0.362335 -1.45246 -1.75313 -2.34922 -2.74886 -3.55559 -3.76371 -0.17003 0.0922269 0.178367 0.175939 0.0251115 0.194591 0.986979 1.18847\n",
|
||
|
" 500 4.877e-01 4.884e+05 1.422e-01 -- 3.569e+02 -- 0.225803 -0.362354 -1.45246 -1.75314 -2.3492 -2.74883 -3.55556 -3.76372 -0.179951 0.0931396 0.178026 0.175387 0.0254897 0.194933 0.986996 1.18851\n",
|
||
|
"********************\n",
|
||
|
"0.248545 -0.362521 -1.45242 -1.75328 -2.34903 -2.74857 -3.55526 -3.76375 -0.267712 0.101175 0.174975 0.17046 0.0288768 0.198006 0.987152 1.18879\n",
|
||
|
"0.0326854 0.00121998 0.000396181 0.00485342 0.00441057 0.00846026 0.00173706 0.000198443 0.208668 0.0333017 0.0139548 0.0472137 0.0310511 0.0388547 0.00686236 0.00229119\n",
|
||
|
"21.6768 960.747 11500.2 1088.5 2531.9 1489.42 54226.9 488371 -1.74721 7.48018 -88.3148 -31.5201 -35.9069 149.822 -1498.85 -399.194\n",
|
||
|
"********************\n"
|
||
|
]
|
||
|
}
|
||
|
],
|
||
|
"source": [
|
||
|
"Cx = clag.clag('cxd10r', [[t1,t2]], [[l1,l2]], [[l1e,l2e]], dt, fqL, p1, p2)\n",
|
||
|
"p = np.concatenate( ((p1+p2)*0.5-0.3,p1*0+0.1) ) # a good starting point generally\n",
|
||
|
"p, pe = clag.optimize(Cx, p)"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "code",
|
||
|
"execution_count": 14,
|
||
|
"metadata": {
|
||
|
"collapsed": false
|
||
|
},
|
||
|
"outputs": [],
|
||
|
"source": [
|
||
|
"phi, phie = p[nfq:], pe[nfq:]\n",
|
||
|
"lag, lage = phi/(2*np.pi*fqd), phie/(2*np.pi*fqd) \n",
|
||
|
"cx, cxe = p[:nfq], pe[:nfq]"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "code",
|
||
|
"execution_count": 15,
|
||
|
"metadata": {
|
||
|
"collapsed": false
|
||
|
},
|
||
|
"outputs": [
|
||
|
{
|
||
|
"data": {
|
||
|
"text/plain": [
|
||
|
"<Container object of 3 artists>"
|
||
|
]
|
||
|
},
|
||
|
"execution_count": 15,
|
||
|
"metadata": {},
|
||
|
"output_type": "execute_result"
|
||
|
},
|
||
|
{
|
||
|
"data": {
|
||
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAhIAAAFrCAYAAACE+GArAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAEAxQQIAKCZIAADF3Ee
|
||
|
"text/plain": [
|
||
|
"<matplotlib.figure.Figure at 0x7f9bcffaae50>"
|
||
|
]
|
||
|
},
|
||
|
"metadata": {},
|
||
|
"output_type": "display_data"
|
||
|
}
|
||
|
],
|
||
|
"source": [
|
||
|
"\n",
|
||
|
"\n",
|
||
|
"xscale('log'); ylim(-10,10)\n",
|
||
|
"errorbar(fqd, lag, yerr=lage, fmt='o', ms=10, color=\"black\")\n",
|
||
|
"\n"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "code",
|
||
|
"execution_count": 18,
|
||
|
"metadata": {
|
||
|
"collapsed": false
|
||
|
},
|
||
|
"outputs": [
|
||
|
{
|
||
|
"data": {
|
||
|
"text/plain": [
|
||
|
"[<matplotlib.lines.Line2D at 0x7f9bcb7e8b50>]"
|
||
|
]
|
||
|
},
|
||
|
"execution_count": 18,
|
||
|
"metadata": {},
|
||
|
"output_type": "execute_result"
|
||
|
},
|
||
|
{
|
||
|
"data": {
|
||
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAggAAAFrCAYAAAC0dHEKAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\neivpaoqPAUGSctS6deG
|
||
|
"text/plain": [
|
||
|
"<matplotlib.figure.Figure at 0x7f9bcb90f9d0>"
|
||
|
]
|
||
|
},
|
||
|
"metadata": {},
|
||
|
"output_type": "display_data"
|
||
|
}
|
||
|
],
|
||
|
"source": [
|
||
|
"s, loc, scale = lognorm.fit(lag,loc=.01)\n",
|
||
|
"\n",
|
||
|
"xscale('log'); ylim(-1,5)\n",
|
||
|
"errorbar(fqd, lag, yerr=lage, fmt='o', ms=10,color=\"black\")\n",
|
||
|
"plot(fqd,lognorm.pdf(fqd,s,loc,scale))"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "code",
|
||
|
"execution_count": null,
|
||
|
"metadata": {
|
||
|
"collapsed": true
|
||
|
},
|
||
|
"outputs": [],
|
||
|
"source": []
|
||
|
}
|
||
|
],
|
||
|
"metadata": {
|
||
|
"kernelspec": {
|
||
|
"display_name": "Python 2",
|
||
|
"language": "python",
|
||
|
"name": "python2"
|
||
|
},
|
||
|
"language_info": {
|
||
|
"codemirror_mode": {
|
||
|
"name": "ipython",
|
||
|
"version": 2
|
||
|
},
|
||
|
"file_extension": ".py",
|
||
|
"mimetype": "text/x-python",
|
||
|
"name": "python",
|
||
|
"nbconvert_exporter": "python",
|
||
|
"pygments_lexer": "ipython2",
|
||
|
"version": "2.7.6"
|
||
|
}
|
||
|
},
|
||
|
"nbformat": 4,
|
||
|
"nbformat_minor": 2
|
||
|
}
|