School/phy-4660
1
0
Fork 0
mirror of https://asciireactor.com/otho/phy-4660.git synced 2024-11-24 12:55:08 +00:00
Code Issues Packages Projects Releases Wiki Activity
6db3b71893
phy-4660/lag/data/clag_analysis-origbins.ipynb

831 lines
151 KiB
Plaintext
Raw Normal View History

added lag lab
2017-03-16 04:12:46 +00:00
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Populating the interactive namespace from numpy and matplotlib\n"
]
},
{
"data": {
"text/plain": [
"<Container object of 3 artists>"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAg8AAAFkCAYAAACn/timAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAAPYQAAD2EBqD+naQAAIABJREFUeJzt3X18VPWd9/9XSAKSRBRwbFEoxFBYg1pNKhD6s+qCqFBy\n1UI35PGzbbjorle73V2vSzK22u7P31W07aRre117tbXXlpL21zWmWnYXoevderNU7mro9sb4kxID\nyO2MiDcQhNyc64/vHOcmM8lM5szMOTPv5+ORR2BmMufkmzPnfM73+/l+viAiIiIiIiIiIiIiIiIi\nIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIjJm+4GhBF//K4/7JCIiIi42Fbg46msxJnj4\neD53SkRERLzju8DefO+EiIiIeMN44A3gy/neEREREXFOWRbf+5PABUD7CK+ZFv4SERGR9BwNf+Vc\nSRbf+0ngPeA/JXl+2iWXXHLkyJEjWdwFERGRgnUYuJY8BBDZ6nmYiUmWvG2E10w7cuQIP/vZz7j8\n8suztBsS78477+S73/1uvnejqKjNc09tnntq89x65ZVXuP322y/F9N4XTPCwBjgObB3thZdffjl1\ndXVZ2g2Jd+GFF6q9c0xtnntq89xTmxeXcVl6zzXATzDTNEVERKSAZCN4WAJMB36chfcWERGRPMvG\nsMVTQGkW3ldERERcIBs9D+Jizc3N+d6FoqM2zz21ee6pzYtLNqdqjqYO6Orq6lKSjYiISBr27NlD\nfX09QD2wJ9fbV8+DiIiIpEXBg4iIiKRFwYOIiIikRcGDiIiIpEXBg4iIiKRFwYOIiIikRcGDiIiI\npEXBg4iIiKRFwYOIiIikRcGDiIiIpEXBg4iIiKRFwYOIiIikRcGDiIiIpEXBg4iIiKRFwYOIiIik\nRcGDiIiIpEXBg4iIiKRFwYOIiIikRcGDiIiIpKUs3zsgIlJIOjrMF8B778GBAzBzJpx3nnmsudl8\niXiZeh5ERBzU3AybN5vvZ8/C3r3wzjvw6qsmmOjogMbGSIAh4kXqeRARcVgoFOKppwK8/no3UMqh\nQ4McPlzL97/vZ/FiX753TyRj6nkQEXFQMBikoaGJ9vaV9PZuBOZy+LAF/Ae33HIDzc1/RSgUyvdu\nimREwYOIiIPuvruNnp4HgMuA1cBKYCvwNAMDv+eRR5ppaGhSACGepuBBRMRBu3d3AwuANuABYCFQ\nEn52HLCInp778fsDedpDkcwpeBARcdDAQCkmWLCDiEQWhIMMEW9S8CAi4qCyskHAAuwgIpFx4SBD\nxJsUPIiIOGj+/FpgF2AHEYkMhYMMEW9S8CAi4qBAwE9NzT3ARcDOJK/aFQ4yRLxJwYOIiIN8Ph87\ndnSyenUVZWX/GXgRGAo/OwTsoKbmXgIBf/52UiRDCh5ERBzm8/no6PgeTzzx78A/c+mlK4BGqqtX\n0NKyiR07OvH5VCxKvEsVJkVEHBS7toWPOXPamDwZDh+GGTNg6VJQ3CBep54HEREHRa9tcd55MHcu\nTJoEc+bAhAla20IKg3oeRESyQKtnSiFTz4OIiIikRcGDiIiIpEXDFiIiWRSbQAkHDsDMmSYfAjS8\nId6k4EFExCGjBQo33AD33mteU1eXt90UyZiCBxERh0T3IuzZA/X1JlCYMSOE3x/gRz/qBkpZtWqQ\n66+vJRDwq96DeJKCBxERB4VCJlB44QUTKNx2Wx8nT4Z4990fAgGghN7eIXp7d7NtW5MKRoknKWFS\nRMQhwWCQhoYm2ttX0tu7BdjMwYNX8+67DwELiayyOQ5YSE/P/fj9gbztr8hYKXgQEXHI3Xe30dPz\nALGBwivh/yeygN27u3OybyJOUvAgIuIQEwgsiHu0lEggEW8cAwOl2d0pkSxQ8CAi4hATCMQHCoOA\nleQnhigrG8zuTolkgYIHERGHmEAgPlCoBXYl+YldzJ9fm92dEskCBQ8iIg4xgUB8oOAH7gG2A0Ph\nx4aAHdTU3Esg4M/hHoo4Q8GDiIhDAgE/NTX3ADuIBApTgXVUVd3BzJm3Ao1UV6+gpWWTpmmKZ6nO\ng4iIQ3w+Hzt2dIbrPKynt7eU6mq7INSzvP66j/p6eOwxVZgUb1PwICLiIJ/Px8aNbe9XmPz852Hn\nTli71pSsnjMHvvxlrW0h3paN4OFS4FvALcBEYC+wFtiThW2JiLhG/NoWc+bA889HAoU1axQoSGFw\nOniYDLwI/BsmeAgCNcBbDm9HRMR11IsgxcLp4OFu4ACmp8F20OFtiIiISB45PduiEegCHgWOY4Yq\nPu/wNkRERCSPnA4eLgO+ALwKLAV+APxP4LMOb0dERETyxOlhi3HAbuCr4f//FrgC+C/ATxP9wJ13\n3smFF14Y81hzczPNGjgUERGho6ODDjsTN+ytt/KbSphstZax2g88BfxF1GNfAO4Fpse9tg7o6urq\nok4TnkVERFK2Z88e6uvrAerJw2xGp3seXgT+JO6xOZigQkSkaMVP4zxwAGbOVL0H8Sang4fvYAq4\nfwWTNDkf+PPwl4hI0WpuhiVLQuHqk9309pbS329Xn/SrTLV4itPBw0vAbcA3gL8FXgP+BugY6YdE\nRApdMBhk0aLV9PQ8AASAEnp7h+jt3c22bU1a50I8JRsLY20FrsJUl5wHbMjCNkREPOXuu9vCgcNC\nIulm44CF9PTcj98fyN/OiaRJq2qKiOTA7t3dwIIkzy4IPy/iDQoeRERyYGCglOQT3MaFnxfxBgUP\nIiI5UFY2CFhJnh0KPy/iDQoeRERyYP78WmBXkmd3hZ8X8QYFDyIiORAI+KmpuQfYAQyFHx0CdlBT\ncy+BgD9/OyeSJgUPIiI54PP52LGjk49/fBMVFSuARiZOXMGkSZuYPr2TtWt9NDZGCkmJuJnTdR5E\nRCQJn8/HCy+0sWcP1NfDP/wD3H47PPggqEq/eImCBxGRHIguT/3OOyEmTQrw53/eDZRy3XWDfPSj\ntTz2mCpNijdo2EJEJAeam2HzZvjRj4IcOtTEO++s5MyZLcBm+voe59//fSUNDU2EQqF876rIqBQ8\niIjkkCpNSiHQsIVIBrRSoqTLVJJMFiAsYPfu9bncHZExUfAgkoHo4MBOguvoUPKbJKdKk1IINGwh\nkqFQKMSaNa2sWrUcaGTVquWsWdOqsWtJSJUmpRCo50EkA1pmWdI1f34t3d27MDkP8VRpUrxBPQ8i\nGVDym6RLlSalEKjnQSQDSn4TSC9x1q406fcHeOGF9fT2llJdPcj119cSCKinSrxBwYNIBpT8JpBe\n4qwJNHxAG7NnQ3m5CTROnIC1azVDR7xBwxYiGVDym9hSTZy1i0U1N5ueiblzzeOvvmp6LTo60BoX\n4nrqeRDJgJLfBMaWONvcDEuWhMLDF9309pbS328PX6hMtbibeh5EMqDkN4GxJc4Gg0EaGppob19J\nb68pU93b+zjt7SpTLe6n4EEkA1pmWcBOnF2Q5NkF4edjaaaOeJmGLUTSEJ9V//vfw8CAj9LSNioq\nYNIkk/y2axdYlpLfCp19PBw4kH7irGbqiJcpeBBJQ6Ks+q4uk1UfCkXGr6GU118f5KmnalmyROPX\nhcrOW/jwh49gEmcTBRCJE2c1U0e8TMGDSJrig4RVqwaZP38mu3a9zP7930KVJouHnSj59tvzgJ1A\nQ4JXJU6cjczUST3gEHEL5TyIpKijA26+OcisWcOT3Do7T7N//zfQ+HVxieQtfBu4l+GJsy8mTZw1\nAcWuJO+smTribgoeRFLU3AxTpnydvr71DA8S3iDxXSckS5gT74skSvqATmATYBJn4RNccMFfJu11\nCgT8XHxx4pk6FRX3cuSIX4m24loKHkRSFAwG+cUvniVxkKDx62IUm7dgqkbCVmAz8EsGBj7E2rW+\nhEGAz+fjD3/oZPXqn1FVVQdcCXyUqqq/orFxHj/7mZJtxb2U8yCSorvvbqO//xISBwkavy5Go+Ut\nzJw5yObNyX/esix+/et
"text/plain": [
"<matplotlib.figure.Figure at 0x7f59e7a8bc10>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import numpy as np\n",
"import sys\n",
"import getopt\n",
"sys.path.insert(1,\"/usr/local/science/clag/\")\n",
"import clag\n",
"%pylab inline\n",
"\n",
"from scipy.stats import norm\n",
"from scipy.stats import lognorm\n",
"\n",
"ref_file=\"lc/1367A.lc\"\n",
"echo_file=\"lc/6175A.lc\"\n",
"\n",
"\n",
"dt = 0.01\n",
"t1, l1, l1e = np.loadtxt(ref_file).T\n",
"errorbar(t1, l1, yerr=l1e, fmt='o')"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"array([ 0.00964867, 0.02886003, 0.0556922 , 0.08632291, 0.13380051,\n",
" 0.20739079, 0.32145572, 0.49825637])"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"\n",
"\n",
"fqL = np.array([0.0049999999, 0.018619375, 0.044733049, 0.069336227, 0.10747115, 0.16658029, \n",
" 0.25819945, 0.40020915, 0.62032418])\n",
"# fqL = np.logspace(np.log10(0.0006),np.log10(1.2),11)\n",
"nfq = len(fqL) - 1\n",
"fqd = 10**(np.log10( (fqL[:-1]*fqL[1:]) )/2.)\n",
"\n",
"\n",
"fqd\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" 1 4.337e-01 6.112e+01 inf -- -4.041e+02 -- 1 1 1 1 1 1 1\n",
" 2 7.647e-01 6.015e+01 6.901e+01 -- -3.351e+02 -- 0.65784 0.58285 0.5699 0.567505 0.56704 0.566344 0.573791\n",
" 3 3.242e+00 5.939e+01 6.602e+01 -- -2.691e+02 -- 0.42512 0.198095 0.146253 0.137492 0.135449 0.133237 0.150987\n",
" 4 1.563e+00 5.894e+01 6.233e+01 -- -2.067e+02 -- 0.328446 -0.100568 -0.261985 -0.286046 -0.293214 -0.298752 -0.270142\n",
" 5 6.151e-01 5.858e+01 5.845e+01 -- -1.483e+02 -- 0.300114 -0.231637 -0.637422 -0.692493 -0.715789 -0.728243 -0.692465\n",
" 6 3.834e-01 5.758e+01 5.397e+01 -- -9.432e+01 -- 0.288119 -0.218711 -0.948517 -1.05695 -1.12601 -1.152 -1.11841\n",
" 7 2.764e-01 5.488e+01 4.687e+01 -- -4.745e+01 -- 0.288807 -0.20359 -1.129 -1.33421 -1.50858 -1.56203 -1.54725\n",
" 8 2.123e-01 4.884e+01 3.703e+01 -- -1.042e+01 -- 0.290741 -0.199424 -1.16697 -1.47951 -1.82761 -1.93862 -1.97495\n",
" 9 1.660e-01 3.761e+01 2.500e+01 -- 1.458e+01 -- 0.297078 -0.192793 -1.17471 -1.51254 -2.03046 -2.24008 -2.39415\n",
" 10 1.251e-01 2.218e+01 1.352e+01 -- 2.810e+01 -- 0.304071 -0.185609 -1.18142 -1.51049 -2.10848 -2.41366 -2.79148\n",
" 11 8.256e-02 9.018e+00 5.492e+00 -- 3.359e+01 -- 0.305677 -0.180534 -1.18507 -1.51162 -2.12584 -2.46833 -3.14066\n",
" 12 4.067e-02 2.560e+00 1.439e+00 -- 3.503e+01 -- 0.30378 -0.178308 -1.18784 -1.51647 -2.12974 -2.48272 -3.39994\n",
" 13 1.216e-02 5.340e-01 2.063e-01 -- 3.524e+01 -- 0.301773 -0.177939 -1.18966 -1.52028 -2.13067 -2.48953 -3.5382\n",
" 14 2.104e-03 8.200e-02 1.337e-02 -- 3.525e+01 -- 0.30075 -0.178052 -1.19052 -1.52208 -2.13075 -2.49214 -3.58123\n",
" 15 2.833e-04 1.082e-02 3.730e-04 -- 3.525e+01 -- 0.300445 -0.178142 -1.19077 -1.52264 -2.13068 -2.4928 -3.58876\n",
" 16 3.684e-05 1.402e-03 6.992e-06 -- 3.525e+01 -- 0.300387 -0.178169 -1.19082 -1.52276 -2.13064 -2.4929 -3.58978\n",
"********************\n",
"0.300387 -0.178169 -1.19082 -1.52276 -2.13064 -2.4929 -3.58978\n",
"0.23893 0.202426 0.232625 0.177239 0.153017 0.132987 0.308424\n",
"-0.000180614 -0.000143998 -0.000174906 -0.000705814 0.000447101 -0.000873593 -0.00140183\n",
"********************\n"
]
}
],
"source": [
"P1 = clag.clag('psd10r', [t1], [l1], [l1e], dt, fqL)\n",
"p1 = np.ones(nfq)\n",
"p1, p1e = clag.optimize(P1, p1)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\t### errors for param 0 ###\n",
"+++ 3.525e+01 3.481e+01 3.004e-01 5.393e-01 0.89 +++\n",
"+++ 3.525e+01 3.432e+01 3.004e-01 6.588e-01 1.87 +++\n",
"+++ 3.525e+01 3.458e+01 3.004e-01 5.990e-01 1.34 +++\n",
"+++ 3.525e+01 3.470e+01 3.004e-01 5.692e-01 1.11 +++\n",
"+++ 3.525e+01 3.475e+01 3.004e-01 5.543e-01 0.996 +++\n",
"\t### errors for param 1 ###\n",
"+++ 3.525e+01 3.476e+01 -1.782e-01 2.426e-02 0.974 +++\n",
"+++ 3.525e+01 3.422e+01 -1.782e-01 1.255e-01 2.07 +++\n",
"+++ 3.525e+01 3.451e+01 -1.782e-01 7.486e-02 1.48 +++\n",
"+++ 3.525e+01 3.464e+01 -1.782e-01 4.956e-02 1.21 +++\n",
"+++ 3.525e+01 3.471e+01 -1.782e-01 3.691e-02 1.09 +++\n",
"+++ 3.525e+01 3.474e+01 -1.782e-01 3.058e-02 1.03 +++\n",
"+++ 3.525e+01 3.475e+01 -1.782e-01 2.742e-02 1 +++\n",
"\t### errors for param 2 ###\n",
"+++ 3.525e+01 3.511e+01 -1.191e+00 -1.075e+00 0.275 +++\n",
"+++ 3.525e+01 3.495e+01 -1.191e+00 -1.016e+00 0.597 +++\n",
"+++ 3.525e+01 3.485e+01 -1.191e+00 -9.873e-01 0.798 +++\n",
"+++ 3.525e+01 3.480e+01 -1.191e+00 -9.727e-01 0.909 +++\n",
"+++ 3.525e+01 3.477e+01 -1.191e+00 -9.655e-01 0.966 +++\n",
"+++ 3.525e+01 3.475e+01 -1.191e+00 -9.618e-01 0.995 +++\n",
"\t### errors for param 3 ###\n",
"+++ 3.525e+01 3.482e+01 -1.523e+00 -1.346e+00 0.861 +++\n",
"+++ 3.525e+01 3.433e+01 -1.523e+00 -1.257e+00 1.85 +++\n",
"+++ 3.525e+01 3.459e+01 -1.523e+00 -1.301e+00 1.32 +++\n",
"+++ 3.525e+01 3.471e+01 -1.523e+00 -1.323e+00 1.08 +++\n",
"+++ 3.525e+01 3.477e+01 -1.523e+00 -1.334e+00 0.967 +++\n",
"+++ 3.525e+01 3.474e+01 -1.523e+00 -1.329e+00 1.02 +++\n",
"+++ 3.525e+01 3.475e+01 -1.523e+00 -1.332e+00 0.994 +++\n",
"\t### errors for param 4 ###\n",
"+++ 3.525e+01 3.482e+01 -2.131e+00 -1.978e+00 0.868 +++\n",
"+++ 3.525e+01 3.430e+01 -2.131e+00 -1.901e+00 1.9 +++\n",
"+++ 3.525e+01 3.458e+01 -2.131e+00 -1.939e+00 1.34 +++\n",
"+++ 3.525e+01 3.471e+01 -2.131e+00 -1.958e+00 1.09 +++\n",
"+++ 3.525e+01 3.476e+01 -2.131e+00 -1.968e+00 0.977 +++\n",
"+++ 3.525e+01 3.473e+01 -2.131e+00 -1.963e+00 1.03 +++\n",
"+++ 3.525e+01 3.475e+01 -2.131e+00 -1.966e+00 1.01 +++\n",
"\t### errors for param 5 ###\n",
"+++ 3.525e+01 3.476e+01 -2.493e+00 -2.360e+00 0.992 +++\n",
"\t### errors for param 6 ###\n",
"+++ 3.525e+01 3.511e+01 -3.590e+00 -3.436e+00 0.274 +++\n",
"+++ 3.525e+01 3.491e+01 -3.590e+00 -3.358e+00 0.68 +++\n",
"+++ 3.525e+01 3.477e+01 -3.590e+00 -3.320e+00 0.971 +++\n",
"+++ 3.525e+01 3.468e+01 -3.590e+00 -3.301e+00 1.14 +++\n",
"+++ 3.525e+01 3.472e+01 -3.590e+00 -3.310e+00 1.05 +++\n",
"+++ 3.525e+01 3.475e+01 -3.590e+00 -3.315e+00 1.01 +++\n",
"+++ 3.525e+01 3.476e+01 -3.590e+00 -3.317e+00 0.991 +++\n",
"********************\n",
"0.300387 -0.178169 -1.19082 -1.52276 -2.13064 -2.4929 -3.58978\n",
"0.253863 0.205589 0.22899 0.191086 0.164971 0.132987 0.27228\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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\nq9Xa6lOr1VyjIHWAIUF
"text/plain": [
"<matplotlib.figure.Figure at 0x7fa601861750>"
]
},
"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 0x7fa6011ddf50>"
]
},
"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 4.366e-01 5.289e+01 inf -- -1.581e+02 -- 1 1 1 1 1 1 1\n",
" 2 7.741e-01 5.224e+01 6.092e+01 -- -9.716e+01 -- 0.64151 0.582988 0.567078 0.568391 0.566833 0.565789 0.56338\n",
" 3 3.418e+00 5.136e+01 5.853e+01 -- -3.863e+01 -- 0.388803 0.191096 0.136557 0.140188 0.135589 0.132301 0.127287\n",
" 4 1.555e+00 5.020e+01 5.546e+01 -- 1.684e+01 -- 0.278504 -0.141428 -0.288802 -0.28161 -0.292287 -0.300033 -0.307779\n",
" 5 5.853e-01 4.862e+01 5.209e+01 -- 6.893e+01 -- 0.251696 -0.361387 -0.704482 -0.692633 -0.715864 -0.730643 -0.741316\n",
" 6 3.638e-01 4.653e+01 4.847e+01 -- 1.174e+02 -- 0.242093 -0.451675 -1.10227 -1.08525 -1.13485 -1.15797 -1.17191\n",
" 7 2.636e-01 4.340e+01 4.346e+01 -- 1.609e+02 -- 0.240629 -0.481083 -1.4522 -1.44125 -1.54556 -1.57775 -1.59823\n",
" 8 2.061e-01 3.824e+01 3.545e+01 -- 1.963e+02 -- 0.243061 -0.504278 -1.67538 -1.722 -1.93248 -1.97969 -2.01957\n",
" 9 1.693e-01 3.015e+01 2.492e+01 -- 2.212e+02 -- 0.246578 -0.524331 -1.72708 -1.87967 -2.25718 -2.33983 -2.4357\n",
" 10 1.458e-01 1.978e+01 1.425e+01 -- 2.355e+02 -- 0.254622 -0.533743 -1.72985 -1.91821 -2.45669 -2.6121 -2.84811\n",
" 11 1.353e-01 1.021e+01 6.810e+00 -- 2.423e+02 -- 0.264297 -0.537479 -1.7301 -1.91543 -2.50815 -2.75364 -3.26334\n",
" 12 1.464e-01 3.997e+00 3.032e+00 -- 2.453e+02 -- 0.268248 -0.539862 -1.72642 -1.91378 -2.49097 -2.79169 -3.705\n",
" 13 2.296e-01 1.073e+00 1.223e+00 -- 2.465e+02 -- 0.268013 -0.541085 -1.72532 -1.91534 -2.4707 -2.79511 -4.24757\n",
" 14 1.191e+00 1.664e-01 4.032e-01 -- 2.469e+02 -- 0.266953 -0.541769 -1.72481 -1.91721 -2.45806 -2.793 -5.22266\n",
" 15 4.403e+02 2.073e-01 4.480e-02 -- 2.470e+02 -- 0.266181 -0.542036 -1.72478 -1.91832 -2.45194 -2.79147 -8\n",
" 16 4.405e+02 2.177e-01 9.908e-05 -- 2.470e+02 -- 0.265853 -0.542082 -1.72492 -1.91871 -2.45034 -2.79121 -8\n",
"********************\n",
"0.265853 -0.542082 -1.72492 -1.91871 -2.45034 -2.79121 -8\n",
"0.236507 0.210135 0.2567 0.193885 0.180857 0.168104 4543.34\n",
"-0.00248404 -0.00270298 -0.00703597 -0.020554 -0.0555367 -0.217652 -0.000171146\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 0.854 +++\n",
"+++ 2.470e+02 2.461e+02 2.658e-01 6.205e-01 1.8 +++\n",
"+++ 2.470e+02 2.463e+02 2.658e-01 5.614e-01 1.29 +++\n",
"+++ 2.470e+02 2.465e+02 2.658e-01 5.318e-01 1.06 +++\n",
"+++ 2.470e+02 2.465e+02 2.658e-01 5.171e-01 0.956 +++\n",
"+++ 2.470e+02 2.465e+02 2.658e-01 5.244e-01 1.01 +++\n",
"\t### errors for param 1 ###\n",
"+++ 2.470e+02 2.465e+02 -5.421e-01 -3.320e-01 0.961 +++\n",
"+++ 2.470e+02 2.460e+02 -5.421e-01 -2.269e-01 2.03 +++\n",
"+++ 2.470e+02 2.463e+02 -5.421e-01 -2.794e-01 1.45 +++\n",
"+++ 2.470e+02 2.464e+02 -5.421e-01 -3.057e-01 1.2 +++\n",
"+++ 2.470e+02 2.465e+02 -5.421e-01 -3.188e-01 1.08 +++\n",
"+++ 2.470e+02 2.465e+02 -5.421e-01 -3.254e-01 1.02 +++\n",
"+++ 2.470e+02 2.465e+02 -5.421e-01 -3.287e-01 0.989 +++\n",
"+++ 2.470e+02 2.465e+02 -5.421e-01 -3.270e-01 1 +++\n",
"\t### errors for param 2 ###\n",
"+++ 2.470e+02 2.468e+02 -1.725e+00 -1.597e+00 0.298 +++\n",
"+++ 2.470e+02 2.467e+02 -1.725e+00 -1.532e+00 0.648 +++\n",
"+++ 2.470e+02 2.466e+02 -1.725e+00 -1.500e+00 0.867 +++\n",
"+++ 2.470e+02 2.465e+02 -1.725e+00 -1.484e+00 0.986 +++\n",
"+++ 2.470e+02 2.465e+02 -1.725e+00 -1.476e+00 1.05 +++\n",
"+++ 2.470e+02 2.465e+02 -1.725e+00 -1.480e+00 1.02 +++\n",
"+++ 2.470e+02 2.465e+02 -1.725e+00 -1.482e+00 1 +++\n",
"\t### errors for param 3 ###\n",
"+++ 2.470e+02 2.465e+02 -1.919e+00 -1.725e+00 0.916 +++\n",
"+++ 2.470e+02 2.460e+02 -1.919e+00 -1.628e+00 1.97 +++\n",
"+++ 2.470e+02 2.463e+02 -1.919e+00 -1.676e+00 1.4 +++\n",
"+++ 2.470e+02 2.464e+02 -1.919e+00 -1.701e+00 1.15 +++\n",
"+++ 2.470e+02 2.465e+02 -1.919e+00 -1.713e+00 1.03 +++\n",
"+++ 2.470e+02 2.465e+02 -1.919e+00 -1.719e+00 0.971 +++\n",
"+++ 2.470e+02 2.465e+02 -1.919e+00 -1.716e+00 0.999 +++\n",
"\t### errors for param 4 ###\n",
"+++ 2.470e+02 2.466e+02 -2.450e+00 -2.269e+00 0.84 +++\n",
"+++ 2.470e+02 2.461e+02 -2.450e+00 -2.179e+00 1.87 +++\n",
"+++ 2.470e+02 2.463e+02 -2.450e+00 -2.224e+00 1.3 +++\n",
"+++ 2.470e+02 2.465e+02 -2.450e+00 -2.247e+00 1.06 +++\n",
"+++ 2.470e+02 2.465e+02 -2.450e+00 -2.258e+00 0.947 +++\n",
"+++ 2.470e+02 2.465e+02 -2.450e+00 -2.252e+00 1 +++\n",
"\t### errors for param 5 ###\n",
"+++ 2.470e+02 2.465e+02 -2.791e+00 -2.623e+00 1.01 +++\n",
"+++ 2.470e+02 2.469e+02 -2.791e+00 -2.707e+00 0.27 +++\n",
"+++ 2.470e+02 2.467e+02 -2.791e+00 -2.665e+00 0.583 +++\n",
"+++ 2.470e+02 2.466e+02 -2.791e+00 -2.644e+00 0.784 +++\n",
"+++ 2.470e+02 2.465e+02 -2.791e+00 -2.634e+00 0.895 +++\n",
"+++ 2.470e+02 2.465e+02 -2.791e+00 -2.628e+00 0.954 +++\n",
"+++ 2.470e+02 2.465e+02 -2.791e+00 -2.626e+00 0.984 +++\n",
"+++ 2.470e+02 2.465e+02 -2.791e+00 -2.624e+00 0.999 +++\n",
"\t### errors for param 6 ###\n",
"+++ 2.470e+02 2.470e+02 -8.000e+00 -6.000e+00 0.0147 +++\n",
"+++ 2.470e+02 2.469e+02 -8.000e+00 -5.000e+00 0.151 +++\n",
"+++ 2.470e+02 2.467e+02 -8.000e+00 -4.500e+00 0.489 +++\n",
"+++ 2.470e+02 2.465e+02 -8.000e+00 -4.250e+00 0.891 +++\n",
"+++ 2.470e+02 2.464e+02 -8.000e+00 -4.125e+00 1.21 +++\n",
"+++ 2.470e+02 2.465e+02 -8.000e+00 -4.188e+00 1.04 +++\n",
"+++ 2.470e+02 2.465e+02 -8.000e+00 -4.219e+00 0.961 +++\n",
"+++ 2.470e+02 2.465e+02 -8.000e+00 -4.203e+00 0.998 +++\n",
"********************\n",
"0.265765 -0.5421 -1.72494 -1.9188 -2.45004 -2.79121 -8\n",
"0.258682 0.215059 0.242662 0.202981 0.197785 0.166791 3.79688\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\nAAAPYQAAD2EBqD+naQAAIABJREFUeJzt3X903XWd5/FnobUREUKR3gtWem3YmmILbkJqaaUT3OJq\nV4XFnZp7dPaYTldnhqGnsytjV0+znHSOK8pRZnB2PF2oOqvelD2KC+cUQWbSAdMfxFwG6LR3lDQJ\n1Da3U0qKUMKkP/aPbyJt+abJTe73/sh9Ps65J8m9n8/382n7afLK9/u9nzdIkiRJkiRJkiRJkiRJ\nkiRJkiRJkiRJkiRJkiRJkiRJkiRpkv470Am8AmSBB4H5RZ2RJEkqCY8A/xlYAFwDPAz0AhcUcU6S\nJKkEvQs4CXyo2BORJEljO6+AY1UPfzxSwDElSVKJm0ZwueEfij0RSZI0PtMLNM63gfdz7ksNlw8/\nJElSbg4OP/KqECHhXuDjwHLgwChtLr/iiisOHDgw2suSJOkcfgM0kOegEGVImEYQEG4GGoG+c7S9\n/MCBA/zgBz9gwYIFEU4p/9atW8c999xTluNN5li59s2l/XjajtXmXK8X+t8sX1xr+W/vWgvnWst/\n+yjX2t69e/nsZz/7boKz8WUTEv4aSBKEhNeA+PDzA8BgWIcFCxZQV1cX4ZTyr7q6uqBzzud4kzlW\nrn1zaT+etmO1Odfrhf43yxfXWv7bu9bCudby3z7qtRaV8yM89sPATKAZ+G+nPX4NPHNW28uBL3zh\nC1/g8svL77aERYsWle14kzlWrn1zaT+etmO1Ge31VCpFMpkc91xKiWst/+1da+Fca/lvH9VaO3jw\nIJs2bQLYRJ7PJEzL58EmoQ7o6urqKsvUrfLyyU9+koceeqjY01AFcK2pENLpNPX19QD1QDqfxy7k\nPgmSJKmMGBJUccr19K/Kj2tN5c6QoIrjN24VimtN5c6QIEmSQhkSJElSKEOCJEkKZUiQJEmhDAmS\nJCmUIUGSJIUyJEiSpFCGBEmSFMqQIEmSQhkSJElSKEOCJEkKZUiQJEmhDAmSJCmUIUGSJIUyJEiS\npFCGBEmSFMqQIEmSQhkSJElSKEOCJEkKZUiQJEmhDAmSJCmUIUGSJIUyJEiSpFCGBEmSFMqQIEmS\nQkUZEpYDDwO/AU4CN0c4liRJyrMoQ8IFwNPAbcNfn4pwLEmSlGfTIzz2z4YfkiSpDHlPgiRJCmVI\nkCRJoQwJkiQpVJT3JORs3bp1VFdXn/FcMpkkmUwWaUaSJJWOVCpFKpU647mBgYHIxpsW2ZHPdBK4\nBXholNfrgK6uri7q6uoKNCVJkspfOp2mvr4eoB5I5/PYUZ5JeAfwb077eh7wAeAl4MUIx5UkSXkQ\nZUhoAP5++PNTwDeHP/8esDrCcSVJUh5EGRK24Y2RkiSVLX+IS5KkUIYESZIUypAgSZJCGRIkSVIo\nQ4IkSQplSJAkSaEMCZIkKZQhQZIkhTIkSJKkUIYESZIUypAgSZJCGRIkSVKoKAs8SUWTei5FancK\ngMHjg/Qd7WPuxXOpml4FQHJhkuSiZDGnKEklz5CgqWk3EGQEXjn6Cr/6p19xyfsvoeriICSQBBYV\na3KSVB4MCZqSkskkyWRwpuCHj/6QXR/dxe1fvp3P/PvPFHlmklQ+vCdBU1Zvby+rb1vN+i+th1mw\n/kvrWX3banp7e4s9NUkqC55J0JSTzWZpWtPE7gO7Ofzbw3AUmAb7D+7nuz//Lg/vfJiFVyyk7b42\nYrFYsacrSSXLkKApJZvNsvimxbzw0gvwCvDqWQ0OweELD7OtfxsfvOmD7Pr5LoOCJI3Cyw2aUm79\ng1t5oe8FOMBbA8KIV4ED0NfXx61/cGsBZydJ5cWQoCmjp6eHzl2dwRmE8XgFOnd1eo+CJI3CkKAp\n489b/pyhoaGc+gwNDXFHyx0RzUiSypshQVPG4489Dq/n2Ol1ePzRxyOZjySVO0OCpoxjvz1W0H6S\nNNUZEiRJUihDgqaMC95+wYT6vePt78jzTCRpajAkaMpY8eEVE+p304qb8jwTSZoaDAmaMr7xjW8w\nY+aMnPq8bebbuOuuuyKakSSVt6hDwp8APQT3nP8S+FDE46mCJRIJGuobcupzXf11JBKJaCYkSWUu\nypDwaeBbwEbgA8CTwCPAeyIcUxXuJz/5CXPnzh1X20QiwYMPPhjxjCSpfEUZEv4rcB+wGfhn4M+A\nF4E/jnBMVbhYLMauXbtobGzksssuC21z2WWX0djYyK5du5g9e3aBZyhJ5SOqkPA2oA547KznHwOW\nRjSmBARBob29naeeeorm5mbmJOYAMCcxh+bmZp566ina29sNCJI0hqhCwruA84HsWc8fAuIRjSmd\nIZFIsHnzZr72na8B8LXvfI3Nmzd7D4IkjZOlojUlpZ5LkdqdAuDQkUOQhHufv5ctR7YAkFyYJLko\nWcwploTT/54Gjw/Sd7SPuRfPpWp6FeDfk1TpogoJh4ETQOys52PAwdE6rVu3jurq6jOeSyaTJJN+\nk1KOdgPBzz4uGryI+X3zuejwRVA1/HoSWFSkuZWQ5KIk17/zelq/0coT6SfoPtLNiVknWF63nJY7\nWjzrIpWYVCpFKpU647mBgYHIxpsW2ZFhJ9AF3Hbac3uAB4GvnNW2Dujq6uqirq4uwilJGpHNZmla\n00TmSIb+q/thzmkv7of4nji1s2ppu6+NWOzsvC+pVKTTaerr6wHqgXQ+jx3l5YZvAv+HYH+EncDn\nCb4NfSfCMSWNQzabZenKpexbsg+uC2kwB/rn9NN/qJ9lK5fRsbXDoCBVoCjfAvkAsA5oAZ4m2Ehp\nJcHbICUVUdOapiAgjPUGj9nQvaSbpjVNBZmXpNIS9Y6LfwO8l+BKcAPwi4jHkzSGnp4eMkcyYweE\nEbMhcyRDb29vlNOSVIKs3SBVmI13bwzuQchB/4J+Wu9ujWhGkkqVIUGqMJ3Pdp55k+J4zIHOZzoj\nmY+k0mVIkCrM0Imh3DtNg6GTE+gnqawZEqQKM+P83MppA3AKZpw3gX6SypohQaowDdc0wP4cO+2H\nxdcujmQ+kkqXIUGqMC13tBDfk1sJlfjeOBu+uCGiGUkqVYYEqcIkEglqZ9UG5dbG4xDUzqp1i2ap\nAhkSpArUdl8bNTtrxg4Kh6BmZw1b7t9SkHlJKi1WgZQqUCwWo2NrBzd+7Eb29e7jjXe+8WbxK4BB\nmPnbmcxLzGPbz7Yxe/Z4d16SNJV4JkGqULFYjD3pPTz+0ONcdcFVTH9hOjwP01+YzlUXXMXjDz3O\nnvQeA4JUwQwJUoXKZrNc3XA1Kz6+guczz3N88DichOODx3k+8zwrPr6CqxuuJpvNFnuqkorEkCBV\noGw2y9KlS9n7y728cfSN0DZvHH2Dvb/cy7JlywwKUoUyJEgVqKmpiX379o2rbXd3N01NVoGUKpEh\nQaowPT09ZDKZnPpkMlaBlCqRIUGqMBs3bqS/P8cqkP39tLZaBVKqNIYEqcJ0dk6smuNE+0kqX4YE\nqcIMDU2smuNE+0kqX4YEqcLMmDGxao4T7SepfBkSpArT0NAwoX6LF1sFUqo0hgSpwrS0tBCP51gF\nMh5nwwarQEqVxpAgVZhEIkFtbW1OfWprrQIpVSJDglSB2traqKmpGVfbmpoatmyxCqRUiQwJUgWK\nxWJ0dHTQ2Ng46qWHeDxOY2Mj27dvt8iTVKEMCVKFisVitLe3s2PHDpqbm393ZqGmpobm5mZ27NhB\ne3u7AUGqYNOLPQFJxZVIJNi8eTPpdJr6+noeeOAB6urqij0tSSXAkCBVsFQqRSqVAmBwcJD58+ez\nfv16qqqqAEgmkySTyWJOUVIRGRKkCmYIkHQu3pMgSZJCRRUSvgJsB44BL0c0hiRJilBUIWEGsAX4\nXxEdX5IkRSyqexLuHP74uYiOL0mSIuY9CZIkKZQhQZIkhcrlcsOdQMsYba4D0hOejSSdQ+q5FKnd\nw/s6HB+k72gfcy+eS9X
"text/plain": [
"<matplotlib.figure.Figure at 0x7fa601598990>"
]
},
"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 2.269e+03 1.198e+01 inf -- 3.072e+02 -- -0.016924 -0.660135 -1.75788 -2.02078 -2.59034 -2.94206 -6.09489 0.1 0.1 0.1 0.1 0.1 0.1 0.1\n",
" 3 1.973e+01 1.431e+01 2.169e+00 -- 3.094e+02 -- 0.013775 -0.617135 -1.71294 -1.98677 -2.55944 -2.92003 -5.79489 0.0404501 0.0959497 0.114729 0.117623 0.0757218 0.113097 -2.34566\n",
" 5 1.376e+02 1.686e+01 2.089e+00 -- 3.115e+02 -- 0.040954 -0.582314 -1.67663 -1.9585 -2.5335 -2.90131 -6.09489 -0.00586333 0.0932507 0.124785 0.131208 0.0569706 0.123911 1.99582\n",
" 7 4.464e+02 1.966e+01 1.915e+00 -- 3.134e+02 -- 0.064849 -0.55355 -1.64669 -1.9347 -2.51145 -2.88524 -5.79489 -0.0424971 0.0914217 0.131924 0.142018 0.0422318 0.133023 -0.334542\n",
" 9 3.480e+01 2.272e+01 1.812e+00 -- 3.152e+02 -- 0.0858141 -0.529439 -1.62163 -1.91445 -2.49256 -2.87136 -5.49489 -0.0719278 0.0901783 0.137158 0.150801 0.0304433 0.140833 2.03211\n",
" 11 1.002e+01 2.607e+01 1.783e+00 -- 3.170e+02 -- 0.104218 -0.509001 -1.60042 -1.89706 -2.47621 -2.85932 -5.19489 -0.0958829 0.089339 0.141038 0.158083 0.0208371 0.147639 1.24275\n",
" 13 7.968e+03 2.974e+01 1.627e+00 -- 3.186e+02 -- 0.120402 -0.491519 -1.58231 -1.88202 -2.46198 -2.8488 -4.89489 -0.115613 0.088809 0.143973 0.164209 0.0130572 0.153636 -0.00200163\n",
" 15 7.700e+00 3.372e+01 1.748e+00 -- 3.204e+02 -- 0.134664 -0.476455 -1.56672 -1.86894 -2.44956 -2.83954 -4.59489 -0.132041 0.088517 0.146286 0.169375 0.00677842 0.158969 1.59295\n",
" 17 2.375e+01 3.806e+01 2.026e+00 -- 3.224e+02 -- 0.147265 -0.463405 -1.55325 -1.85749 -2.43853 -2.83144 -4.29489 -0.145779 0.0883846 0.147915 0.173914 0.00155918 0.163793 0.96984\n",
" 19 1.222e+01 4.277e+01 1.856e+00 -- 3.243e+02 -- 0.158428 -0.452038 -1.54155 -1.84743 -2.4288 -2.82406 -4.10712 -0.157385 0.0884563 0.149176 0.177908 -0.0021446 0.168153 0.95096\n",
" 21 3.757e+00 4.786e+01 1.686e+00 -- 3.260e+02 -- 0.168341 -0.442099 -1.53136 -1.83856 -2.42015 -2.81739 -3.99633 -0.167232 0.0886703 0.150095 0.181462 -0.00476573 0.172153 0.946458\n",
" 23 1.719e+00 5.335e+01 1.565e+00 -- 3.275e+02 -- 0.17716 -0.433379 -1.52245 -1.8307 -2.41246 -2.81134 -3.9178 -0.175626 0.0889884 0.150755 0.184625 -0.00655603 0.175857 0.945111\n",
" 25 7.670e-01 5.926e+01 1.462e+00 -- 3.290e+02 -- 0.185022 -0.425705 -1.51464 -1.82371 -2.40559 -2.80587 -3.85771 -0.18281 0.0893847 0.151217 0.187442 -0.00768333 0.179309 0.944998\n",
" 27 3.271e-01 6.558e+01 1.371e+00 -- 3.304e+02 -- 0.192044 -0.418936 -1.50777 -1.81749 -2.39945 -2.80089 -3.80967 -0.188981 0.0898403 0.151526 0.189953 -0.00827265 0.182546 0.945473\n",
" 29 2.839e-01 7.234e+01 1.288e+00 -- 3.316e+02 -- 0.198326 -0.412951 -1.50172 -1.81194 -2.39395 -2.79637 -3.77014 -0.194296 0.0903402 0.151717 0.192191 -0.0084207 0.185594 0.946256\n",
" 31 6.344e-01 7.952e+01 1.212e+00 -- 3.328e+02 -- 0.203957 -0.407649 -1.49638 -1.80697 -2.38902 -2.79224 -3.73694 -0.198885 0.0908733 0.151818 0.194187 -0.00820387 0.188473 0.9472\n",
" 33 1.008e+00 8.711e+01 1.140e+00 -- 3.340e+02 -- 0.20901 -0.402946 -1.49167 -1.80251 -2.38459 -2.78847 -3.70862 -0.202854 0.0914304 0.151849 0.195966 -0.00768338 0.1912 0.948221\n",
" 35 1.430e+00 9.512e+01 1.074e+00 -- 3.351e+02 -- 0.213553 -0.398767 -1.4875 -1.79849 -2.3806 -2.78502 -3.68416 -0.206293 0.0920046 0.151828 0.197549 -0.00690885 0.193787 0.949267\n",
" 37 1.972e+00 1.035e+02 1.010e+00 -- 3.361e+02 -- 0.217642 -0.395048 -1.48381 -1.79488 -2.37701 -2.78186 -3.66283 -0.209276 0.0925904 0.151767 0.198956 -0.00592089 0.196245 0.950302\n",
" 38 1.386e+01 2.586e+03 1.075e+01 -- 3.468e+02 -- 0.254492 -0.361933 -1.45115 -1.76223 -2.34466 -2.75279 -3.47522 -0.235177 0.0985198 0.150868 0.211428 0.00575786 0.2196 0.960307\n",
" 40 4.847e+00 1.291e+03 4.830e-01 -- 3.473e+02 -- 0.254339 -0.36196 -1.45129 -1.7616 -2.34565 -2.75065 -3.47325 -0.238184 0.0984132 0.154637 0.207337 0.0137373 0.221423 0.959887\n",
" 42 2.820e+00 7.911e+02 2.689e-01 -- 3.476e+02 -- 0.254314 -0.362014 -1.45138 -1.76102 -2.34642 -2.7488 -3.47177 -0.240479 0.0987825 0.157405 0.204131 0.0203959 0.222522 0.958597\n",
" 44 1.927e+00 5.366e+02 1.843e-01 -- 3.478e+02 -- 0.254352 -0.362079 -1.45146 -1.76045 -2.34705 -2.74718 -3.47058 -0.24227 0.0993579 0.159522 0.201533 0.0261467 0.223117 0.956931\n",
" 45 6.846e-01 2.491e+03 7.144e-01 -- 3.470e+02 -- 0.255087 -0.362762 -1.45206 -1.75508 -2.35235 -2.73284 -3.4608 -0.256273 0.106036 0.17597 0.180236 0.0765365 0.225273 0.938514\n",
" 47 3.859e-01 7.440e+02 1.045e+00 -- 3.481e+02 -- 0.255642 -0.362946 -1.45188 -1.75441 -2.35202 -2.735 -3.46127 -0.253243 0.107817 0.170909 0.185077 0.0713684 0.20985 0.938462\n",
" 49 2.428e-01 4.740e+02 3.238e-01 -- 3.484e+02 -- 0.255958 -0.36305 -1.45177 -1.75394 -2.35178 -2.73606 -3.46158 -0.25133 0.108819 0.167827 0.187945 0.0689457 0.201752 0.937949\n",
" 50 1.845e+00 3.237e+04 3.382e+00 -- 3.450e+02 -- 0.258014 -0.363678 -1.45096 -1.74999 -2.35001 -2.74182 -3.46363 -0.23749 0.114761 0.147522 0.2072 0.0566519 0.152758 0.930353\n",
" 52 5.341e-01 2.738e+03 3.310e+00 -- 3.483e+02 -- 0.256859 -0.363253 -1.45121 -1.74947 -2.35141 -2.73938 -3.46259 -0.241519 0.110174 0.1534 0.199686 0.0671039 0.167388 0.929964\n",
" 54 2.673e-01 4.258e+02 4.126e-01 -- 3.488e+02 -- 0.256513 -0.363117 -1.45131 -1.74933 -2.35166 -2.73828 -3.46219 -0.242924 0.108757 0.155979 0.197112 0.0706881 0.173906 0.929109\n",
" 56 1.484e-01 7.070e+02 1.233e-01 -- 3.489e+02 -- 0.256358 -0.363054 -1.45135 -1.74924 -2.35169 -2.73765 -3.46198 -0.243691 0.108123 0.157394 0.195813 0.0725777 0.177563 0.928277\n",
" 57 2.633e+00 1.761e+05 5.893e+00 -- 3.430e+02 -- 0.255689 -0.362752 -1.45153 -1.74846 -2.35114 -2.73373 -3.46071 -0.248243 0.105285 0.165654 0.188899 0.0833473 0.19847 0.920537\n",
" 59 5.986e-01 4.834e+03 6.298e+00 -- 3.493e+02 -- 0.25881 -0.363072 -1.45138 -1.74823 -2.34996 -2.73665 -3.46097 -0.236008 0.109215 0.161791 0.19747 0.0614059 0.167187 0.920664\n",
" 61 1.056e-01 1.057e+04 3.624e-01 -- 3.497e+02 -- 0.259231 -0.363167 -1.45134 -1.74818 -2.34961 -2.73738 -3.46105 -0.234491 0.110247 0.160667 0.199701 0.0577301 0.160365 0.920596\n",
" 63 9.832e-02 1.198e+04 8.624e-02 -- 3.497e+02 -- 0.259256 -0.363199 -1.45132 -1.74815 -2.34952 -2.73761 -3.46108 -0.234434 0.110544 0.160282 0.200426 0.0572685 0.158672 0.920487\n",
" 65 1.477e-01 1.320e+04 5.481e-02 -- 3.498e+02 -- 0.259155 -0.363209 -1.45131 -1.74812 -2.34952 -2.73767 -3.46109 -0.234836 0.110592 0.160145 0.20064 0.0578316 0.158622 0.920373\n",
" 66 5.254e-01 1.244e+05 1.134e+00 -- 3.509e+02 -- 0.257792 -0.363238 -1.45127 -1.74783 -2.34977 -2.73779 -3.46112 -0.240158 0.110293 0.159591 0.201062 0.0663719 0.163096 0.919291\n",
" 68 2.702e-02 4.790e+05 6.404e-01 -- 3.516e+02 -- 0.256458 -0.363212 -1.45128 -1.74783 -2.34996 -2.7376 -3.4611 -0.248024 0.109945 0.159825 0.200359 0.0698593 0.166007 0.919278\n",
" 70 7.753e-03 5.328e+05 5.502e-02 -- 3.516e+02 -- 0.256548 -0.363213 -1.45128 -1.74783 -2.34995 -2.73761 -3.4611 -0.247354 0.109964 0.159811 0.200397 0.0696895 0.165854 0.919275\n",
" 71 4.990e-02 5.349e+08 2.391e+00 -- 3.540e+02 -- 0.256515 -0.363211 -1.45128 -1.74782 -2.34996 -2.73759 -3.4611 -0.246413 0.109926 0.159825 0.200321 0.0702298 0.166204 0.919243\n",
" 73 1.883e-01 1.908e+08 7.849e-01 -- 3.548e+02 -- 0.256638 -0.363212 -1.45128 -1.74782 -2.34995 -2.7376 -3.4611 -0.245184 0.109938 0.159816 0.200349 0.0700951 0.166094 0.919244\n",
" 75 3.505e-01 1.280e+10 5.592e+00 -- 3.492e+02 -- 0.256429 -0.363212 -1.45128 -1.74782 -2.34996 -2.73759 -3.4611 -0.2498 0.109944 0.15982 0.200324 0.0701695 0.16617 0.919243\n",
" 76 7.399e-01 4.729e+08 1.154e+01 -- 3.377e+02 -- 0.255205 -0.363227 -1.45127 -1.74784 -2.34981 -2.73775 -3.46111 -0.162247 0.110105 0.15966 0.201149 0.0677482 0.164465 0.919251\n",
" 78 1.590e-01 5.754e+06 1.469e+01 -- 3.524e+02 -- 0.253232 -0.363205 -1.45128 -1.74785 -2.34999 -2.73758 -3.46109 -0.174252 0.109807 0.15986 0.200551 0.0708851 0.16699 0.919246\n",
" 80 5.807e-02 1.303e+07 7.214e-01 -- 3.531e+02 -- 0.253726 -0.36321 -1.45127 -1.74785 -2.34994 -2.73762 -3.4611 -0.171481 0.109878 0.159812 0.200693 0.0701441 0.166393 0.919247\n",
" 82 6.557e-03 1.579e+07 9.480e-02 -- 3.532e+02 -- 0.253613 -0.363209 -1.45127 -1.74785 -2.34995 -2.73761 -3.4611 -0.172477 0.109861 0.159824 0.200658 0.0703205 0.166534 0.919247\n",
" 84 6.675e-03 1.765e+07 5.646e-02 -- 3.532e+02 -- 0.253648 -0.363209 -1.45127 -1.74785 -2.34995 -2.73761 -3.4611 -0.172493 0.109866 0.15982 0.200667 0.0702744 0.166497 0.919247\n",
" 86 1.405e-02 1.962e+07 5.316e-02 -- 3.533e+02 -- 0.253645 -0.363209 -1.45127 -1.74785 -2.34995 -2.73761 -3.4611 -0.172608 0.109865 0.159821 0.200664 0.070284 0.166504 0.919247\n",
" 87 2.371e+00 3.577e+10 6.090e-01 -- 3.539e+02 -- 0.25362 -0.36321 -1.45127 -1.74785 -2.34995 -2.73762 -3.4611 -0.175034 0.10987 0.159819 0.200659 0.0702718 0.166492 0.919246\n",
" 91 6.875e-01 6.345e+10 1.055e+00 -- 3.528e+02 -- 0.253591 -0.36321 -1.45127 -1.74785 -2.34995 -2.73762 -3.4611 -0.174619 0.109871 0.159819 0.200661 0.0702715 0.166492 0.919246\n",
" 94 8.161e+00 6.043e+11 1.715e+01 -- 3.357e+02 -- 0.253529 -0.36321 -1.45127 -1.74785 -2.34995 -2.73762 -3.4611 -0.175819 0.109861 0.159819 0.200658 0.0702745 0.16649 0.919246\n",
" 96 2.611e-01 3.717e+08 9.546e+00 -- 3.452e+02 -- 0.257412 -0.363213 -1.45128 -1.74782 -2.34996 -2.73763 -3.4611 -0.319306 0.109793 0.159798 0.200183 0.0701731 0.16621 0.919236\n",
" 98 3.737e-02 1.435e+07 7.911e+00 -- 3.531e+02 -- 0.258178 -0.363226 -1.45127 -1.74781 -2.34985 -2.73772 -3.46111 -0.312069 0.109964 0.159681 0.20055 0.0683407 0.164732 0.919241\n",
" 100 4.006e-03 2.110e+07 1.702e-01 -- 3.533e+02 -- 0.25807 -0.363224 -1.45127 -1.74782 -2.34987 -2.73771 -3.46111 -0.312793 0.10994 0.159697 0.200499 0.0685961 0.164939 0.919241\n",
" 102 5.577e-03 2.351e+07 5.453e-02 -- 3.534e+02 -- 0.258084 -0.363224 -1.45127 -1.74782 -2.34987 -2.73771 -3.46111 -0.312702 0.109943 0.159695 0.200505 0.0685686 0.164916 0.919241\n",
" 104 6.916e-03 2.613e+07 5.344e-02 -- 3.534e+02 -- 0.258079 -0.363224 -1.45127 -1.74782 -2.34987 -2.73771 -3.46111 -0.312527 0.109942 0.159696 0.200505 0.0685733 0.16492 0.919241\n",
" 105 6.197e+00 8.850e+11 1.956e+01 -- 3.339e+02 -- 0.258065 -0.363224 -1.45127 -1.74782 -2.34987 -2.73771 -3.46111 -0.314689 0.109936 0.159698 0.200489 0.0686299 0.164957 0.91924\n",
" 106 2.457e+00 5.060e+05 4.423e+01 -- 2.896e+02 -- 0.25217 -0.363236 -1.45128 -1.74787 -2.35122 -2.73772 -3.46109 -2.26495 0.107765 0.159324 0.193074 0.0661005 0.165589 0.919229\n",
" 108 9.160e-01 1.076e+06 4.129e+01 -- 3.309e+02 -- 0.190213 -0.363421 -1.45121 -1.74789 -2.34962 -2.73898 -3.46119 -2.20299 0.109386 0.15792 0.199777 0.0502385 0.149847 0.919513\n",
" 110 7.545e-01 1.842e+06 3.241e+00 -- 3.342e+02 -- 0.172789 -0.363413 -1.45121 -1.7479 -2.34968 -2.73894 -3.46119 -2.16833 0.109263 0.157968 0.199848 0.0508925 0.150441 0.919501\n",
" 112 6.604e-01 2.413e+06 1.815e+00 -- 3.360e+02 -- 0.159752 -0.363413 -1.45121 -1.74791 -2.34967 -2.73895 -3.46119 -2.14156 0.109248 0.157963 0.200007 0.0508058 0.150387 0.9195\n",
" 114 5.952e-01 3.001e+06 1.236e+00 -- 3.372e+02 -- 0.149202 -0.363414 -1.45121 -1.74791 -2.34966 -2.73896 -3.46119 -2.11865 0.10925 0.157953 0.20014 0.0506565 0.150272 0.9195\n",
" 116 5.401e-01 3.623e+06 9.191e-01 -- 3.381e+02 -- 0.140322 -0.363414 -1.4512 -1.74792 -2.34964 -2.73897 -3.46119 -2.09844 0.109254 0.157944 0.200248 0.0505214 0.150164 0.9195\n",
" 118 4.946e-01 4.287e+06 7.180e-01 -- 3.389e+02 -- 0.132742 -0.363415 -1.4512 -1.74792 -2.34963 -2.73898 -3.46119 -2.08012 0.10926 0.157935 0.200335 0.0504064 0.150071 0.919501\n",
" 120 4.554e-01 5.002e+06 5.840e-01 -- 3.394e+02 -- 0.126177 -0.363416 -1.4512 -1.74792 -2.34962 -2.73898 -3.46119 -2.06319 0.109265 0.157928 0.200408 0.0503087 0.14999 0.919501\n",
" 122 4.163e-01 5.781e+06 4.883e-01 -- 3.399e+02 -- 0.120431 -0.363416 -1.4512 -1.74792 -2.34961 -2.73899 -3.46119 -2.04749 0.10927 0.157922 0.200469 0.0502247 0.14992 0.919501\n",
" 124 3.856e-01 6.633e+06 4.091e-01 -- 3.403e+02 -- 0.115418 -0.363417 -1.4512 -1.74793 -2.34961 -2.739 -3.46119 -2.03366 0.109275 0.157917 0.200521 0.0501519 0.149858 0.919501\n",
" 126 3.459e-01 7.569e+06 3.539e-01 -- 3.407e+02 -- 0.110968 -0.363417 -1.4512 -1.74793 -2.3496 -2.739 -3.46119 -2.02099 0.109279 0.157912 0.200566 0.0500901 0.149806 0.919501\n",
" 128 3.257e-01 8.604e+06 2.868e-01 -- 3.410e+02 -- 0.10713 -0.363417 -1.4512 -1.74793 -2.34959 -2.739 -3.4612 -2.01203 0.109283 0.157908 0.200604 0.0500359 0.14976 0.919502\n",
" 130 2.677e-01 9.741e+06 2.645e-01 -- 3.412e+02 -- 0.10364 -0.363418 -1.4512 -1.74793 -2.34959 -2.73901 -3.4612 -2.00265 0.109286 0.157905 0.200636 0.0499941 0.149724 0.919502\n",
" 132 2.564e-01 1.094e+07 2.420e-01 -- 3.415e+02 -- 0.100866 -0.363418 -1.4512 -1.74793 -2.34959 -2.73901 -3.4612 -1.991 0.109289 0.157902 0.200663 0.0499572 0.14969 0.919502\n",
" 134 2.658e-01 1.231e+07 2.111e-01 -- 3.417e+02 -- 0.0982797 -0.363418 -1.4512 -1.74793 -2.34958 -2.73901 -3.4612 -1.98223 0.109291 0.157899 0.200689 0.0499203 0.149658 0.919502\n",
" 136 2.061e-01 1.381e+07 2.284e-01 -- 3.419e+02 -- 0.095667 -0.363418 -1.4512 -1.74793 -2.34958 -2.73901 -3.4612 -1.97018 0.109293 0.157897 0.200713 0.0498902 0.149631 0.919502\n",
" 138 2.448e-01 1.549e+07 1.683e-01 -- 3.421e+02 -- 0.0936952 -0.363418 -1.4512 -1.74793 -2.34958 -2.73902 -3.4612 -1.96336 0.109297 0.157894 0.200734 0.0498553 0.1496 0.919502\n",
" 140 1.932e-01 1.745e+07 1.492e-01 -- 3.422e+02 -- 0.0914011 -0.363419 -1.4512 -1.74793 -2.34957 -2.73902 -3.4612 -1.96101 0.109298 0.157892 0.200752 0.0498304 0.14958 0.919502\n",
" 142 1.543e-01 1.951e+07 1.616e-01 -- 3.424e+02 -- 0.0896351 -0.363419 -1.4512 -1.74793 -2.34957 -2.73902 -3.4612 -1.95324 0.109299 0.157891 0.200767 0.0498145 0.149565 0.919502\n",
" 144 1.977e-01 2.183e+07 1.088e-01 -- 3.425e+02 -- 0.0882519 -0.363419 -1.4512 -1.74793 -2.34957 -2.73902 -3.4612 -1.95169 0.109301 0.157889 0.200779 0.0497925 0.149546 0.919502\n",
" 146 2.223e-01 2.449e+07 1.198e-01 -- 3.426e+02 -- 0.0865074 -0.363419 -1.4512 -1.74793 -2.34957 -2.73902 -3.4612 -1.95019 0.109302 0.157888 0.200791 0.0497808 0.149537 0.919502\n",
" 148 1.483e-01 2.753e+07 1.474e-01 -- 3.428e+02 -- 0.084584 -0.363419 -1.4512 -1.74793 -2.34956 -2.73902 -3.4612 -1.94508 0.109302 0.157888 0.200805 0.0497691 0.149528 0.919502\n",
" 150 1.690e-01 3.082e+07 8.624e-02 -- 3.429e+02 -- 0.0833299 -0.363419 -1.4512 -1.74793 -2.34956 -2.73902 -3.4612 -1.9461 0.109303 0.157886 0.200815 0.0497502 0.149512 0.919502\n",
" 152 1.762e-01 3.449e+07 1.188e-01 -- 3.430e+02 -- 0.0819216 -0.363419 -1.4512 -1.74793 -2.34956 -2.73902 -3.4612 -1.94249 0.109303 0.157886 0.200824 0.049743 0.149507 0.919502\n",
" 154 1.238e-01 3.866e+07 1.240e-01 -- 3.431e+02 -- 0.0804781 -0.363419 -1.4512 -1.74793 -2.34956 -2.73902 -3.4612 -1.93818 0.109303 0.157885 0.200835 0.0497304 0.149497 0.919502\n",
" 156 1.139e-01 4.323e+07 8.517e-02 -- 3.432e+02 -- 0.079482 -0.363419 -1.4512 -1.74793 -2.34956 -2.73902 -3.4612 -1.93786 0.109305 0.157884 0.200843 0.049715 0.149485 0.919503\n",
" 157 4.942e-02 2.466e+07 9.311e-01 -- 3.441e+02 -- 0.0704267 -0.363418 -1.4512 -1.74794 -2.34957 -2.73903 -3.4612 -1.77759 0.1093 0.15788 0.200952 0.0496793 0.149428 0.919498\n",
" 159 8.388e-02 3.418e+07 1.894e-01 -- 3.443e+02 -- 0.0700786 -0.36342 -1.4512 -1.74794 -2.34955 -2.73904 -3.4612 -1.77245 0.109321 0.157867 0.200998 0.0494922 0.149273 0.9195\n",
" 160 4.666e-01 2.671e+08 9.403e-01 -- 3.453e+02 -- 0.0642006 -0.363422 -1.4512 -1.74794 -2.34953 -2.73906 -3.4612 -1.69928 0.109349 0.157846 0.201123 0.0492057 0.149018 0.9195\n",
" 161 6.172e+00 9.031e+05 6.135e+00 -- 3.391e+02 -- 0.0572531 -0.363415 -1.4512 -1.74794 -2.34959 -2.73898 -3.46119 -2.49218 0.1092 0.157938 0.20046 0.0506396 0.150192 0.919509\n",
" 163 1.463e+01 1.084e+06 1.303e+00 -- 3.404e+02 -- 0.0219138 -0.363415 -1.4512 -1.74794 -2.34957 -2.739 -3.46119 -2.43778 0.109224 0.15792 0.200646 0.0504673 0.149985 0.919507\n",
" 165 2.912e+01 1.297e+06 9.553e-01 -- 3.414e+02 -- -0.0101463 -0.363418 -1.4512 -1.74794 -2.34954 -2.73902 -3.4612 -2.38182 0.109267 0.157892 0.200829 0.0501465 0.149663 0.919507\n",
" 167 6.809e+00 1.524e+06 7.449e-01 -- 3.421e+02 -- -0.0396938 -0.36342 -1.4512 -1.74795 -2.34952 -2.73904 -3.4612 -2.32367 0.109303 0.15787 0.200977 0.0498882 0.1494 0.919507\n",
" 169 3.698e+00 1.765e+06 5.996e-01 -- 3.427e+02 -- -0.0667198 -0.363421 -1.4512 -1.74795 -2.3495 -2.73905 -3.4612 -2.26425 0.109332 0.157852 0.201095 0.0496903 0.149192 0.919507\n",
" 171 2.425e+00 2.021e+06 4.993e-01 -- 3.432e+02 -- -0.0913899 -0.363422 -1.4512 -1.74795 -2.34949 -2.73907 -3.4612 -2.20346 0.109355 0.157838 0.201191 0.0495391 0.149027 0.919507\n",
" 173 1.738e+00 2.292e+06 4.250e-01 -- 3.436e+02 -- -0.113555 -0.363423 -1.4512 -1.74795 -2.34948 -2.73908 -3.4612 -2.14116 0.109374 0.157827 0.20127 0.0494225 0.148895 0.919506\n",
" 175 1.307e+00 2.583e+06 3.649e-01 -- 3.440e+02 -- -0.133292 -0.363424 -1.4512 -1.74795 -2.34947 -2.73908 -3.4612 -2.0796 0.10939 0.157817 0.201335 0.049332 0.148788 0.919506\n",
" 177 1.047e+00 2.895e+06 3.223e-01 -- 3.443e+02 -- -0.150718 -0.363424 -1.4512 -1.74795 -2.34946 -2.73909 -3.4612 -2.01741 0.109403 0.15781 0.201391 0.0492627 0.148701 0.919505\n",
" 179 8.090e-01 3.236e+06 2.859e-01 -- 3.446e+02 -- -0.166497 -0.363425 -1.4512 -1.74795 -2.34945 -2.73909 -3.4612 -1.95757 0.109414 0.157804 0.201439 0.0492083 0.14863 0.919505\n",
" 181 6.080e-01 3.601e+06 2.585e-01 -- 3.449e+02 -- -0.179967 -0.363425 -1.4512 -1.74795 -2.34945 -2.7391 -3.4612 -1.89744 0.109423 0.157799 0.20148 0.0491661 0.148572 0.919504\n",
" 182 2.539e-01 3.660e+07 2.576e+00 -- 3.475e+02 -- -0.289393 -0.363427 -1.45119 -1.74796 -2.34941 -2.73913 -3.46121 -1.30909 0.109498 0.157756 0.201827 0.0488447 0.148088 0.919499\n",
" 184 4.016e-01 5.855e+07 2.221e-01 -- 3.477e+02 -- -0.282045 -0.363425 -1.45119 -1.74796 -2.34943 -2.73912 -3.46121 -1.30097 0.10948 0.157768 0.201786 0.0490279 0.148229 0.919497\n",
" 186 3.091e-01 6.932e+07 2.593e-03 -- 3.477e+02 -- -0.27144 -0.363425 -1.45119 -1.74796 -2.34943 -2.73912 -3.46121 -1.35322 0.10948 0.15777 0.201757 0.0490685 0.148251 0.919497\n",
" 187 2.851e-01 7.479e+06 1.835e+00 -- 3.458e+02 -- -0.321756 -0.363424 -1.4512 -1.74796 -2.34944 -2.73911 -3.46121 -1.77155 0.109467 0.157782 0.201631 0.0492586 0.148401 0.919498\n",
" 188 2.336e-01 2.433e+07 2.960e-01 -- 3.455e+02 -- -0.374916 -0.363436 -1.45119 -1.74795 -2.34932 -2.73919 -3.46121 -1.26642 0.109638 0.157681 0.202071 0.0478576 0.147162 0.919505\n",
" 190 1.438e-01 1.271e+07 1.388e+00 -- 3.469e+02 -- -0.381149 -0.363427 -1.45119 -1.74796 -2.3494 -2.73914 -3.46121 -1.23684 0.109523 0.157749 0.201855 0.0489144 0.148006 0.919497\n",
" 192 1.187e-01 1.489e+07 1.009e-01 -- 3.470e+02 -- -0.380686 -0.363426 -1.45119 -1.74796 -2.34942 -2.73913 -3.46121 -1.21905 0.109507 0.157758 0.201826 0.049072 0.148126 0.919496\n",
" 193 2.616e+00 1.803e+07 9.241e-01 -- 3.480e+02 -- -0.385652 -0.363423 -1.45119 -1.74796 -2.34943 -2.73912 -3.46121 -1.07438 0.109491 0.157771 0.201807 0.0493538 0.148299 0.919493\n",
" 194 5.869e-01 1.719e+09 1.149e+01 -- 3.365e+02 -- -0.106959 -0.363434 -1.45119 -1.74797 -2.34929 -2.73922 -3.46122 1.73606 0.109587 0.15766 0.202786 0.047551 0.147005 0.919497\n",
" 196 1.130e-01 9.258e+07 9.800e+00 -- 3.463e+02 -- -0.113236 -0.363424 -1.45119 -1.74797 -2.34939 -2.73916 -3.46121 1.65362 0.109461 0.157728 0.202605 0.0485995 0.147848 0.919488\n",
" 198 2.772e+00 1.481e+08 2.691e-01 -- 3.465e+02 -- -0.11407 -0.363423 -1.45119 -1.74797 -2.3494 -2.73915 -3.46121 1.63494 0.109445 0.157735 0.20259 0.0487043 0.147935 0.919487\n",
" 199 2.169e+00 1.764e+06 2.451e+00 -- 3.441e+02 -- -0.430263 -0.363426 -1.45119 -1.74795 -2.34941 -2.73915 -3.46121 -3.05269 0.109524 0.157742 0.201897 0.0488874 0.147882 0.919492\n",
" 201 1.913e+00 2.072e+06 3.862e-01 -- 3.445e+02 -- -0.523586 -0.363424 -1.45119 -1.74795 -2.34943 -2.73914 -3.46121 -3.00172 0.109506 0.157754 0.201892 0.049131 0.148027 0.919488\n",
" 203 1.779e+00 2.384e+06 3.220e-01 -- 3.448e+02 -- -0.623769 -0.363423 -1.45119 -1.74795 -2.34943 -2.73914 -3.46121 -2.9345 0.109515 0.15775 0.20193 0.0491329 0.147982 0.919486\n",
" 205 1.694e+00 2.724e+06 2.804e-01 -- 3.451e+02 -- -0.734739 -0.363423 -1.45119 -1.74795 -2.34943 -2.73915 -3.46121 -2.8405 0.109525 0.157746 0.201967 0.0491169 0.147929 0.919485\n",
" 207 1.635e+00 3.084e+06 2.445e-01 -- 3.453e+02 -- -0.85919 -0.363423 -1.45119 -1.74795 -2.34943 -2.73915 -3.46121 -2.70669 0.109533 0.157742 0.201998 0.0491085 0.147887 0.919483\n",
" 209 1.600e+00 3.438e+06 2.122e-01 -- 3.455e+02 -- -0.999683 -0.363423 -1.45119 -1.74795 -2.34943 -2.73915 -3.46121 -2.50076 0.109539 0.157739 0.202024 0.0491084 0.147855 0.919482\n",
" 211 2.671e+00 3.755e+06 1.835e-01 -- 3.457e+02 -- -1.15968 -0.363423 -1.45119 -1.74795 -2.34943 -2.73915 -3.46121 -2.16708 0.109544 0.157737 0.202047 0.0491139 0.147832 0.919481\n",
" 213 5.748e+00 3.882e+06 1.403e-01 -- 3.459e+02 -- -1.29788 -0.363423 -1.45119 -1.74795 -2.34944 -2.73915 -3.46121 -1.58825 0.109548 0.157736 0.202067 0.0491226 0.147813 0.91948\n",
" 215 6.833e+00 3.560e+06 8.682e-02 -- 3.459e+02 -- -1.27817 -0.363423 -1.45119 -1.74795 -2.34944 -2.73916 -3.46121 -0.6754 0.109551 0.157734 0.202086 0.0491335 0.147798 0.919479\n",
" 217 2.427e+00 3.223e+06 1.398e-01 -- 3.461e+02 -- -0.980173 -0.363423 -1.45119 -1.74795 -2.34944 -2.73916 -3.46121 -0.213922 0.109556 0.157733 0.202103 0.0491447 0.14778 0.919478\n",
" 219 1.487e+00 3.453e+06 2.184e-01 -- 3.463e+02 -- -0.786827 -0.363422 -1.45119 -1.74795 -2.34944 -2.73916 -3.46121 -0.162012 0.109559 0.157732 0.202119 0.0491691 0.147769 0.919477\n",
" 221 1.150e+00 3.793e+06 2.018e-01 -- 3.465e+02 -- -0.669794 -0.363422 -1.45119 -1.74795 -2.34944 -2.73916 -3.46121 -0.139676 0.109561 0.157732 0.202129 0.0492111 0.147775 0.919475\n",
" 223 1.019e+00 4.201e+06 1.765e-01 -- 3.467e+02 -- -0.592793 -0.363422 -1.45119 -1.74795 -2.34945 -2.73916 -3.46121 -0.12627 0.109561 0.157733 0.202135 0.0492592 0.147788 0.919474\n",
" 225 8.538e-01 4.676e+06 1.677e-01 -- 3.468e+02 -- -0.532414 -0.363421 -1.45119 -1.74795 -2.34945 -2.73915 -3.46121 -0.119629 0.10956 0.157734 0.202139 0.0493085 0.147804 0.919473\n",
" 227 8.801e-01 5.212e+06 1.505e-01 -- 3.470e+02 -- -0.486958 -0.363421 -1.45119 -1.74795 -2.34945 -2.73915 -3.46121 -0.114455 0.10956 0.157736 0.202142 0.0493586 0.147824 0.919472\n",
" 229 6.974e-01 5.828e+06 1.558e-01 -- 3.472e+02 -- -0.444102 -0.36342 -1.45119 -1.74795 -2.34946 -2.73915 -3.46121 -0.111906 0.109558 0.157737 0.202144 0.0494072 0.147843 0.919471\n",
" 231 7.119e-01 6.497e+06 1.325e-01 -- 3.473e+02 -- -0.41313 -0.36342 -1.45119 -1.74795 -2.34946 -2.73915 -3.46121 -0.105843 0.109556 0.157739 0.202144 0.0494579 0.147868 0.91947\n",
" 233 5.442e-01 7.244e+06 1.335e-01 -- 3.474e+02 -- -0.383719 -0.36342 -1.45119 -1.74795 -2.34946 -2.73915 -3.46121 -0.0984818 0.109554 0.157741 0.202145 0.0495033 0.147889 0.919469\n",
" 235 1.131e+00 8.076e+06 1.137e-01 -- 3.475e+02 -- -0.362839 -0.363419 -1.45119 -1.74795 -2.34947 -2.73915 -3.46121 -0.0938439 0.109552 0.157743 0.202143 0.0495491 0.147913 0.919469\n",
" 237 3.653e-01 8.999e+06 1.361e-01 -- 3.477e+02 -- -0.335364 -0.363419 -1.45119 -1.74795 -2.34947 -2.73915 -3.46121 -0.0832267 0.10955 0.157744 0.202146 0.0495886 0.147933 0.919468\n",
" 239 3.363e-01 1.004e+07 9.350e-02 -- 3.478e+02 -- -0.323113 -0.363418 -1.45119 -1.74795 -2.34947 -2.73914 -3.46121 -0.0832685 0.109547 0.157747 0.202141 0.0496366 0.147961 0.919467\n",
" 241 1.247e+00 1.121e+07 8.989e-02 -- 3.478e+02 -- -0.312392 -0.363418 -1.45119 -1.74795 -2.34947 -2.73914 -3.46121 -0.0860685 0.109546 0.157748 0.202138 0.0496699 0.147977 0.919467\n",
" 243 4.749e-01 1.245e+07 1.061e-01 -- 3.480e+02 -- -0.295953 -0.363418 -1.45119 -1.74795 -2.34948 -2.73914 -3.46121 -0.0753345 0.109544 0.157749 0.202141 0.049698 0.147993 0.919466\n",
" 245 6.925e-01 1.386e+07 8.248e-02 -- 3.480e+02 -- -0.287411 -0.363418 -1.45119 -1.74795 -2.34948 -2.73914 -3.46121 -0.0717567 0.109542 0.157751 0.202138 0.0497334 0.148014 0.919466\n",
" 247 2.983e+00 1.541e+07 5.421e-02 -- 3.481e+02 -- -0.28685 -0.363417 -1.45119 -1.74795 -2.34948 -2.73914 -3.46121 -0.0667875 0.109541 0.157752 0.202135 0.0497581 0.148028 0.919466\n",
" 248 1.312e+00 2.319e+07 5.164e-01 -- 3.486e+02 -- -0.185228 -0.363417 -1.45119 -1.74795 -2.34947 -2.73914 -3.46121 0.132449 0.109541 0.157752 0.202202 0.0498364 0.148059 0.919464\n",
" 250 1.351e+00 2.829e+07 1.424e-01 -- 3.488e+02 -- -0.170989 -0.363415 -1.45119 -1.74795 -2.34949 -2.73913 -3.46121 0.149822 0.109523 0.157762 0.202181 0.0499928 0.148185 0.919463\n",
" 251 4.563e+00 1.588e+08 1.471e+00 -- 3.473e+02 -- -0.220484 -0.36341 -1.4512 -1.74795 -2.34955 -2.7391 -3.46121 -0.0525833 0.109471 0.157803 0.201972 0.0506843 0.148669 0.919457\n",
" 253 4.464e+00 5.169e+07 1.638e+00 -- 3.489e+02 -- -0.228996 -0.363414 -1.45119 -1.74795 -2.34951 -2.73913 -3.46121 -0.0765774 0.109532 0.157768 0.202077 0.050136 0.148227 0.91946\n",
" 254 1.174e+00 1.462e+08 2.584e+00 -- 3.463e+02 -- -0.165269 -0.363424 -1.45119 -1.74795 -2.3494 -2.73918 -3.46121 0.26524 0.109648 0.157698 0.202403 0.0490414 0.147404 0.919469\n",
" 256 3.140e-01 3.210e+07 2.338e+00 -- 3.487e+02 -- -0.184679 -0.363416 -1.45119 -1.74795 -2.34947 -2.73913 -3.46121 0.254255 0.109557 0.157753 0.202214 0.0499032 0.148084 0.919464\n",
" 258 1.020e+00 3.780e+07 5.449e-02 -- 3.487e+02 -- -0.189584 -0.363416 -1.45119 -1.74795 -2.34948 -2.73913 -3.46121 0.262239 0.109548 0.157759 0.202195 0.049992 0.148154 0.919463\n",
" 259 9.690e-01 1.442e+07 3.727e-01 -- 3.484e+02 -- -0.0646749 -0.363416 -1.45119 -1.74796 -2.34945 -2.73913 -3.46121 0.529609 0.109531 0.157755 0.202322 0.0499443 0.148158 0.919466\n",
" 261 5.802e-01 2.148e+07 2.027e-01 -- 3.486e+02 -- -0.0584081 -0.363414 -1.45119 -1.74796 -2.34947 -2.73911 -3.46121 0.526988 0.109501 0.157773 0.202272 0.0502225 0.148376 0.919464\n",
" 263 2.171e+00 2.442e+07 8.307e-02 -- 3.486e+02 -- -0.0550193 -0.363413 -1.45119 -1.74796 -2.34948 -2.73911 -3.46121 0.523608 0.109493 0.157777 0.202259 0.0503048 0.148438 0.919463\n",
" 265 1.244e+00 2.695e+07 7.115e-02 -- 3.487e+02 -- -0.0430724 -0.363413 -1.45119 -1.74796 -2.34948 -2.73911 -3.46121 0.533686 0.109488 0.157779 0.202264 0.0503385 0.148465 0.919463\n",
" 267 5.411e-01 3.028e+07 6.665e-02 -- 3.488e+02 -- -0.037713 -0.363412 -1.45119 -1.74796 -2.34948 -2.7391 -3.46121 0.538519 0.109482 0.157783 0.202258 0.0503975 0.148511 0.919463\n",
" 269 5.807e-01 3.469e+07 1.242e-01 -- 3.489e+02 -- -0.0397535 -0.363412 -1.45119 -1.74796 -2.34949 -2.7391 -3.46121 0.509938 0.109479 0.157785 0.202246 0.0504397 0.148535 0.919462\n",
" 271 9.263e-01 3.892e+07 8.342e-02 -- 3.490e+02 -- -0.0420622 -0.363411 -1.45119 -1.74796 -2.34949 -2.7391 -3.46121 0.49377 0.109477 0.157787 0.202237 0.0504718 0.148554 0.919461\n",
" 273 1.045e+00 4.354e+07 8.479e-02 -- 3.491e+02 -- -0.0381661 -0.363411 -1.45119 -1.74796 -2.3495 -2.7391 -3.46121 0.48762 0.109476 0.157788 0.202238 0.0504836 0.14856 0.919461\n",
" 275 6.628e-01 4.858e+07 4.584e-02 -- 3.491e+02 -- -0.0341795 -0.363411 -1.45119 -1.74796 -2.3495 -2.7391 -3.46121 0.498943 0.109473 0.15779 0.202236 0.0505139 0.148586 0.919461\n",
" 277 3.138e+00 5.585e+07 1.196e-01 -- 3.492e+02 -- -0.031914 -0.363411 -1.45119 -1.74796 -2.3495 -2.7391 -3.46121 0.48038 0.10947 0.157791 0.202233 0.0505361 0.148596 0.91946\n",
" 278 1.106e+00 3.818e+07 1.331e+00 -- 3.479e+02 -- -0.132049 -0.363407 -1.4512 -1.74796 -2.34957 -2.73908 -3.46121 0.209795 0.109439 0.157817 0.202029 0.0510012 0.148874 0.919453\n",
" 280 3.299e-01 3.189e+07 1.021e+00 -- 3.489e+02 -- -0.138042 -0.363412 -1.45119 -1.74795 -2.34952 -2.73911 -3.46121 0.186601 0.109503 0.15778 0.202137 0.0504273 0.148408 0.919456\n",
" 282 1.357e+00 3.797e+07 6.512e-02 -- 3.490e+02 -- -0.142597 -0.363412 -1.45119 -1.74795 -2.34951 -2.73912 -3.46121 0.187456 0.109515 0.157773 0.202156 0.0503221 0.148322 0.919457\n",
" 284 3.374e-01 4.168e+07 2.378e-02 -- 3.490e+02 -- -0.16194 -0.363413 -1.45119 -1.74795 -2.34951 -2.73912 -3.46121 0.171472 0.109522 0.157771 0.202147 0.0502934 0.148293 0.919457\n",
" 286 1.284e+00 4.784e+07 8.469e-02 -- 3.491e+02 -- -0.157165 -0.363413 -1.45119 -1.74795 -2.34951 -2.73912 -3.46121 0.177257 0.109529 0.157766 0.202164 0.0502281 0.14824 0.919457\n",
" 287 5.863e+00 2.746e+07 7.569e-01 -- 3.483e+02 -- -0.0125226 -0.363413 -1.45119 -1.74795 -2.34949 -2.73912 -3.46121 0.404916 0.109511 0.157767 0.202299 0.0502314 0.148274 0.919458\n",
" 289 1.630e+00 3.365e+07 9.013e-01 -- 3.492e+02 -- -0.0198645 -0.363408 -1.4512 -1.74796 -2.34953 -2.73909 -3.46121 0.404159 0.109451 0.157802 0.202181 0.0507898 0.148716 0.919454\n",
" 291 6.748e+00 3.775e+07 7.961e-02 -- 3.493e+02 -- -0.0166256 -0.363408 -1.4512 -1.74796 -2.34954 -2.73909 -3.46121 0.400832 0.109447 0.157805 0.202176 0.0508312 0.148746 0.919454\n",
" 293 2.863e+00 4.073e+07 4.445e-02 -- 3.493e+02 -- -0.00540687 -0.363408 -1.4512 -1.74796 -2.34953 -2.73909 -3.46121 0.422946 0.109441 0.157807 0.202184 0.050862 0.148775 0.919454\n",
" 295 1.589e+01 4.688e+07 9.607e-02 -- 3.494e+02 -- -0.00385862 -0.363407 -1.4512 -1.74796 -2.34954 -2.73908 -3.46121 0.414394 0.109434 0.157811 0.202171 0.0509315 0.148827 0.919453\n",
" 297 9.102e+01 5.176e+07 5.621e-02 -- 3.495e+02 -- 0.00227262 -0.363407 -1.4512 -1.74796 -2.34954 -2.73908 -3.46121 0.424492 0.109429 0.157813 0.202172 0.0509648 0.148855 0.919453\n",
" 298 1.218e+00 1.223e+06 2.212e+00 -- 3.473e+02 -- -0.204579 -0.363401 -1.4512 -1.74795 -2.34966 -2.73907 -3.4612 -0.153771 0.109419 0.157847 0.201763 0.0516137 0.149147 0.91944\n",
" 300 7.366e-01 5.541e+06 7.566e-01 -- 3.480e+02 -- -0.179665 -0.363411 -1.4512 -1.74794 -2.34957 -2.73913 -3.46121 -0.141308 0.109542 0.157774 0.202006 0.0505035 0.148242 0.919447\n",
" 302 6.563e-01 6.257e+06 1.223e-01 -- 3.481e+02 -- -0.166432 -0.363412 -1.4512 -1.74794 -2.34956 -2.73913 -3.46121 -0.136129 0.109556 0.157767 0.202034 0.0504092 0.14815 0.919447\n",
" 304 6.204e-01 6.962e+06 1.049e-01 -- 3.482e+02 -- -0.155509 -0.363411 -1.4512 -1.74794 -2.34956 -2.73913 -3.46121 -0.128246 0.109555 0.157768 0.202033 0.0504491 0.148168 0.919446\n",
" 306 6.510e-01 7.764e+06 1.013e-01 -- 3.483e+02 -- -0.14586 -0.363411 -1.4512 -1.74794 -2.34956 -2.73913 -3.46121 -0.123823 0.109552 0.157771 0.202028 0.050505 0.1482 0.919446\n",
" 308 3.481e-01 8.654e+06 1.011e-01 -- 3.484e+02 -- -0.136364 -0.36341 -1.4512 -1.74794 -2.34957 -2.73913 -3.46121 -0.117368 0.109549 0.157773 0.202024 0.0505599 0.148233 0.919445\n",
" 310 4.054e-01 9.652e+06 7.879e-02 -- 3.485e+02 -- -0.131618 -0.36341 -1.4512 -1.74794 -2.34957 -2.73912 -3.46121 -0.117155 0.109545 0.157776 0.202015 0.0506154 0.148266 0.919444\n",
" 312 5.584e-01 1.075e+07 8.122e-02 -- 3.486e+02 -- -0.126283 -0.36341 -1.4512 -1.74794 -2.34957 -2.73912 -3.46121 -0.115499 0.109544 0.157777 0.202011 0.0506528 0.148287 0.919444\n",
" 314 4.952e-01 1.200e+07 9.239e-02 -- 3.487e+02 -- -0.119231 -0.363409 -1.4512 -1.74794 -2.34958 -2.73912 -3.46121 -0.115658 0.109542 0.157779 0.202007 0.0506895 0.148307 0.919443\n",
" 316 5.287e-01 1.338e+07 8.527e-02 -- 3.488e+02 -- -0.113326 -0.363409 -1.4512 -1.74794 -2.34958 -2.73912 -3.46121 -0.111769 0.109538 0.157781 0.202002 0.0507334 0.148335 0.919443\n",
" 318 8.017e-01 1.491e+07 8.643e-02 -- 3.489e+02 -- -0.107335 -0.363409 -1.4512 -1.74794 -2.34958 -2.73912 -3.46121 -0.108356 0.109536 0.157783 0.201998 0.0507734 0.14836 0.919442\n",
" 319 2.149e+01 1.344e+08 1.285e+00 -- 3.502e+02 -- -0.0771257 -0.363406 -1.4512 -1.74794 -2.3496 -2.7391 -3.46121 -0.0214826 0.109506 0.157804 0.20197 0.0511631 0.148633 0.91944\n",
" 322 5.016e+01 1.083e+08 7.733e-02 -- 3.501e+02 -- -0.0812549 -0.363406 -1.4512 -1.74794 -2.3496 -2.7391 -3.46121 -0.0261001 0.109507 0.157803 0.201968 0.0511544 0.148625 0.91944\n",
" 325 1.441e+01 1.887e+08 2.246e-01 -- 3.503e+02 -- -0.0735921 -0.363406 -1.4512 -1.74794 -2.3496 -2.7391 -3.46121 -0.0130075 0.109508 0.157802 0.201979 0.0511409 0.148617 0.91944\n",
" 328 7.901e+01 1.536e+08 9.576e-02 -- 3.502e+02 -- -0.0797361 -0.363406 -1.4512 -1.74794 -2.3496 -2.7391 -3.46121 -0.0148821 0.109509 0.157802 0.201976 0.0511349 0.148612 0.91944\n",
" 331 1.082e+01 1.784e+08 6.179e-02 -- 3.503e+02 -- -0.0795032 -0.363406 -1.4512 -1.74794 -2.3496 -2.7391 -3.46121 -0.0266401 0.10951 0.157801 0.201974 0.0511287 0.148603 0.91944\n",
" 333 4.675e+01 2.786e+08 1.995e-01 -- 3.505e+02 -- -0.0809661 -0.363407 -1.4512 -1.74794 -2.3496 -2.7391 -3.46121 -0.0554529 0.109514 0.157797 0.201978 0.0510476 0.148535 0.91944\n",
" 334 5.032e+00 2.430e+05 6.301e+00 -- 3.442e+02 -- -0.985862 -0.363409 -1.4512 -1.74792 -2.3498 -2.73912 -3.4612 -2.64765 0.109732 0.157802 0.200524 0.0514617 0.148271 0.919427\n",
" 336 1.413e+01 2.950e+05 3.625e-01 -- 3.445e+02 -- -1.28586 -0.363418 -1.4512 -1.74791 -2.3497 -2.73918 -3.46121 -1.84183 0.109927 0.157714 0.2008 0.0506701 0.147252 0.919428\n",
" 338 4.005e+01 3.176e+05 1.360e-01 -- 3.447e+02 -- -1.46152 -0.363418 -1.4512 -1.74791 -2.34969 -2.73919 -3.46121 0.760727 0.109999 0.157695 0.200857 0.0507901 0.147055 0.919422\n",
" 340 6.766e+00 4.153e+05 6.549e-02 -- 3.446e+02 -- -1.16152 -0.363417 -1.4512 -1.74791 -2.34969 -2.7392 -3.46121 -2.28614 0.110051 0.157686 0.200882 0.0510196 0.146972 0.919414\n",
" 342 2.742e+01 4.570e+05 2.707e-01 -- 3.449e+02 -- -1.46152 -0.363415 -1.4512 -1.7479 -2.3497 -2.73919 -3.46121 -0.739337 0.110077 0.157687 0.200893 0.0513039 0.146999 0.919408\n",
" 344 1.369e+01 4.823e+05 3.346e-02 -- 3.448e+02 -- -1.16152 -0.363414 -1.4512 -1.7479 -2.3497 -2.73919 -3.46121 1.28787 0.110109 0.157683 0.200916 0.0514964 0.146967 0.919402\n",
" 346 9.597e+00 6.439e+05 3.666e-01 -- 3.452e+02 -- -1.08009 -0.363413 -1.45119 -1.7479 -2.3497 -2.73919 -3.46121 -0.475334 0.110141 0.157677 0.200944 0.051654 0.146914 0.919397\n",
" 348 3.843e+01 6.683e+05 2.895e-01 -- 3.455e+02 -- -0.780091 -0.363412 -1.45119 -1.7479 -2.34971 -2.73919 -3.46121 -0.0191557 0.110155 0.157679 0.200954 0.051853 0.146942 0.919392\n",
" 350 2.431e+00 7.534e+05 4.815e-01 -- 3.460e+02 -- -0.516668 -0.363411 -1.45119 -1.7479 -2.34971 -2.73919 -3.46121 -0.0927694 0.110174 0.157677 0.20097 0.0519999 0.146932 0.919388\n",
" 352 2.128e+00 8.462e+05 3.602e-01 -- 3.463e+02 -- -0.391053 -0.363409 -1.4512 -1.7479 -2.34972 -2.73919 -3.46121 -0.102471 0.110182 0.15768 0.200966 0.0522036 0.146984 0.919383\n",
" 354 1.958e+00 9.507e+05 3.104e-01 -- 3.466e+02 -- -0.307832 -0.363408 -1.4512 -1.7479 -2.34973 -2.73918 -3.46121 -0.105727 0.110186 0.157686 0.200953 0.0524185 0.147058 0.919379\n",
" 356 1.882e+00 1.068e+06 2.733e-01 -- 3.469e+02 -- -0.247561 -0.363406 -1.4512 -1.7479 -2.34974 -2.73917 -3.46121 -0.106268 0.110186 0.157693 0.200935 0.0526364 0.147146 0.919376\n",
" 358 1.839e+00 1.199e+06 2.470e-01 -- 3.472e+02 -- -0.200962 -0.363405 -1.4512 -1.7479 -2.34976 -2.73916 -3.46121 -0.105856 0.110183 0.1577 0.200914 0.0528519 0.147243 0.919372\n",
" 360 1.795e+00 1.346e+06 2.241e-01 -- 3.474e+02 -- -0.164003 -0.363403 -1.4512 -1.7479 -2.34977 -2.73916 -3.46121 -0.105114 0.110179 0.157708 0.20089 0.053063 0.147344 0.919369\n",
" 362 1.817e+00 1.511e+06 2.017e-01 -- 3.476e+02 -- -0.134568 -0.363402 -1.4512 -1.7479 -2.34978 -2.73915 -3.46121 -0.103975 0.110173 0.157716 0.200865 0.053267 0.147448 0.919366\n",
" 364 1.856e+00 1.694e+06 1.860e-01 -- 3.478e+02 -- -0.110116 -0.3634 -1.4512 -1.7479 -2.34979 -2.73914 -3.46121 -0.103075 0.110167 0.157724 0.200841 0.0534605 0.14755 0.919364\n",
" 366 1.880e+00 1.899e+06 1.714e-01 -- 3.479e+02 -- -0.089674 -0.363399 -1.4512 -1.7479 -2.3498 -2.73913 -3.46121 -0.101649 0.110159 0.157732 0.200816 0.0536444 0.14765 0.919361\n",
" 368 1.968e+00 2.128e+06 1.562e-01 -- 3.481e+02 -- -0.0728171 -0.363398 -1.4512 -1.74789 -2.34981 -2.73912 -3.46121 -0.100506 0.110152 0.157739 0.200792 0.053818 0.147747 0.919359\n",
" 370 2.101e+00 2.382e+06 1.448e-01 -- 3.483e+02 -- -0.0584857 -0.363396 -1.4512 -1.74789 -2.34982 -2.73912 -3.46121 -0.099281 0.110145 0.157747 0.200769 0.0539785 0.147839 0.919357\n",
" 372 2.314e+00 2.665e+06 1.350e-01 -- 3.484e+02 -- -0.0461955 -0.363395 -1.4512 -1.74789 -2.34983 -2.73911 -3.46121 -0.0980682 0.110138 0.157753 0.200747 0.0541276 0.147925 0.919355\n",
" 374 2.560e+00 2.981e+06 1.272e-01 -- 3.485e+02 -- -0.0355074 -0.363394 -1.4512 -1.74789 -2.34984 -2.7391 -3.46121 -0.0975489 0.110131 0.15776 0.200727 0.0542661 0.148006 0.919354\n",
" 376 2.984e+00 3.332e+06 1.180e-01 -- 3.486e+02 -- -0.0264176 -0.363393 -1.4512 -1.74789 -2.34985 -2.7391 -3.46121 -0.0966277 0.110124 0.157766 0.200707 0.0543948 0.148083 0.919352\n",
" 378 3.745e+00 3.724e+06 1.111e-01 -- 3.487e+02 -- -0.0185355 -0.363392 -1.4512 -1.74789 -2.34985 -2.73909 -3.46121 -0.0961985 0.110118 0.157771 0.200689 0.0545125 0.148154 0.919351\n",
" 380 5.245e+00 4.158e+06 1.050e-01 -- 3.488e+02 -- -0.0115937 -0.363392 -1.4512 -1.74789 -2.34986 -2.73909 -3.46121 -0.0949656 0.110112 0.157777 0.200673 0.0546199 0.148219 0.919349\n",
" 382 9.697e+00 4.642e+06 9.994e-02 -- 3.489e+02 -- -0.00551311 -0.363391 -1.4512 -1.74789 -2.34987 -2.73908 -3.46121 -0.0945279 0.110106 0.157781 0.200657 0.0547192 0.148279 0.919348\n",
" 384 2.565e+02 5.180e+06 9.454e-02 -- 3.490e+02 -- -0.000167303 -0.36339 -1.4512 -1.74789 -2.34987 -2.73908 -3.46121 -0.0931954 0.110101 0.157786 0.200644 0.0548099 0.148335 0.919347\n",
" 386 9.880e+00 5.780e+06 8.805e-02 -- 3.491e+02 -- 0.00412335 -0.36339 -1.4512 -1.74789 -2.34988 -2.73907 -3.46121 -0.093928 0.110096 0.15779 0.20063 0.0548933 0.148386 0.919346\n",
" 388 4.224e+00 6.439e+06 8.467e-02 -- 3.492e+02 -- 0.00819704 -0.363389 -1.4512 -1.74789 -2.34988 -2.73907 -3.46121 -0.0916356 0.110092 0.157793 0.20062 0.054964 0.14843 0.919346\n",
" 390 2.907e+00 7.178e+06 8.143e-02 -- 3.493e+02 -- 0.0116595 -0.363389 -1.4512 -1.74789 -2.34988 -2.73907 -3.46121 -0.0913694 0.110088 0.157797 0.200609 0.0550314 0.148472 0.919345\n",
" 392 1.516e+00 7.995e+06 8.031e-02 -- 3.494e+02 -- 0.0150489 -0.363388 -1.4512 -1.74789 -2.34989 -2.73907 -3.46121 -0.0900351 0.110084 0.1578 0.2006 0.0550912 0.148509 0.919344\n",
" 394 2.049e+00 8.907e+06 7.170e-02 -- 3.494e+02 -- 0.0173306 -0.363388 -1.4512 -1.74789 -2.34989 -2.73906 -3.46121 -0.0887767 0.11008 0.157802 0.200591 0.0551488 0.148546 0.919344\n",
" 396 8.714e-01 9.911e+06 8.151e-02 -- 3.495e+02 -- 0.020882 -0.363387 -1.4512 -1.74789 -2.34989 -2.73906 -3.46121 -0.0870916 0.110078 0.157805 0.200585 0.0551934 0.148573 0.919343\n",
" 398 9.679e-01 1.107e+07 7.197e-02 -- 3.496e+02 -- 0.0227018 -0.363387 -1.4512 -1.74789 -2.3499 -2.73906 -3.46121 -0.0909551 0.110074 0.157808 0.200573 0.0552522 0.14861 0.919343\n",
" 400 1.270e+00 1.232e+07 7.128e-02 -- 3.497e+02 -- 0.024899 -0.363387 -1.4512 -1.74789 -2.3499 -2.73906 -3.46121 -0.0902504 0.110072 0.15781 0.200567 0.0552904 0.148634 0.919342\n",
" 402 6.361e-01 1.367e+07 7.507e-02 -- 3.497e+02 -- 0.0280603 -0.363386 -1.4512 -1.74789 -2.3499 -2.73905 -3.46121 -0.0837997 0.110068 0.157811 0.200565 0.0553281 0.14866 0.919342\n",
" 404 8.794e-01 1.528e+07 6.816e-02 -- 3.498e+02 -- 0.0292014 -0.363386 -1.4512 -1.74789 -2.34991 -2.73905 -3.46121 -0.0891302 0.110065 0.157814 0.200552 0.0553829 0.148695 0.919341\n",
" 406 3.784e-01 1.697e+07 7.227e-02 -- 3.499e+02 -- 0.0317693 -0.363386 -1.4512 -1.74789 -2.34991 -2.73905 -3.46121 -0.0855337 0.110063 0.157816 0.200551 0.0554098 0.148713 0.919341\n",
" 408 8.584e-01 1.892e+07 6.373e-02 -- 3.500e+02 -- 0.0329715 -0.363385 -1.4512 -1.74789 -2.34991 -2.73905 -3.46121 -0.0840924 0.110059 0.157818 0.200544 0.0554524 0.148743 0.919341\n",
" 410 2.281e-01 2.102e+07 7.585e-02 -- 3.500e+02 -- 0.0358016 -0.363385 -1.4512 -1.74789 -2.34991 -2.73905 -3.46121 -0.0818116 0.110057 0.15782 0.200541 0.0554798 0.148761 0.91934\n",
" 412 2.994e-01 2.352e+07 5.761e-02 -- 3.501e+02 -- 0.0358705 -0.363385 -1.4512 -1.74789 -2.34991 -2.73904 -3.46121 -0.0836779 0.110053 0.157822 0.200531 0.0555267 0.148795 0.91934\n",
" 414 7.158e-01 2.615e+07 5.648e-02 -- 3.501e+02 -- 0.0361137 -0.363385 -1.4512 -1.74789 -2.34991 -2.73904 -3.46121 -0.086183 0.110053 0.157823 0.200528 0.0555391 0.148801 0.91934\n",
" 415 4.481e+00 7.672e+07 5.225e-01 -- 3.507e+02 -- 0.027996 -0.363384 -1.4512 -1.74789 -2.34993 -2.73904 -3.46121 -0.147877 0.110054 0.157826 0.200473 0.0556367 0.148828 0.919338\n",
" 418 2.687e+00 9.990e+07 3.995e-02 -- 3.506e+02 -- 0.0267416 -0.363384 -1.4512 -1.74789 -2.34993 -2.73904 -3.46121 -0.148469 0.110055 0.157825 0.200475 0.0556202 0.148816 0.919338\n",
" 421 9.609e+00 8.090e+07 3.507e-02 -- 3.507e+02 -- 0.026023 -0.363384 -1.4512 -1.74789 -2.34992 -2.73904 -3.46121 -0.144961 0.110057 0.157824 0.200481 0.0556034 0.148804 0.919338\n",
" 423 8.329e+00 2.967e+08 1.085e+00 -- 3.496e+02 -- 0.0510295 -0.363386 -1.4512 -1.74789 -2.3499 -2.73905 -3.46121 -0.0496008 0.110067 0.157813 0.200579 0.0554229 0.148684 0.91934\n",
" 425 9.815e-01 4.106e+07 1.153e+00 -- 3.507e+02 -- 0.0367336 -0.363383 -1.4512 -1.74789 -2.34993 -2.73903 -3.4612 -0.0909145 0.110038 0.157835 0.200479 0.055778 0.148952 0.919338\n",
" 427 1.774e+00 2.140e+08 4.961e-01 -- 3.512e+02 -- 0.03879 -0.363384 -1.4512 -1.74789 -2.34992 -2.73904 -3.46121 -0.0998381 0.110055 0.157825 0.200503 0.0556283 0.14883 0.919338\n",
" 428 1.829e+01 3.065e+08 7.322e-02 -- 3.513e+02 -- 0.0449577 -0.363384 -1.4512 -1.74789 -2.3499 -2.73904 -3.46121 0.0772391 0.11003 0.157827 0.200623 0.0555725 0.148873 0.919341\n",
" 430 2.067e+00 2.772e+09 7.286e+00 -- 3.440e+02 -- 0.0871111 -0.363384 -1.4512 -1.74789 -2.34988 -2.73904 -3.46121 0.218532 0.110015 0.157828 0.200722 0.0555747 0.148913 0.919342\n",
" 433 9.668e-01 1.632e+09 2.268e+00 -- 3.463e+02 -- 0.0853101 -0.363384 -1.4512 -1.74789 -2.34989 -2.73903 -3.46121 0.215536 0.110009 0.157832 0.200707 0.0556372 0.148962 0.919342\n",
" 435 2.233e+00 5.145e+08 3.823e+00 -- 3.501e+02 -- 0.0895547 -0.363379 -1.4512 -1.74789 -2.34993 -2.739 -3.4612 0.194698 0.109954 0.157866 0.200601 0.0561718 0.149374 0.919338\n",
" 437 8.471e-01 1.114e+08 8.833e-01 -- 3.510e+02 -- 0.0957779 -0.363377 -1.4512 -1.74789 -2.34994 -2.73899 -3.4612 0.238181 0.109929 0.15788 0.200589 0.0563701 0.149554 0.919338\n",
" 440 2.255e+00 1.662e+08 1.147e-01 -- 3.511e+02 -- 0.0949666 -0.363377 -1.4512 -1.7479 -2.34994 -2.73899 -3.4612 0.239067 0.109928 0.15788 0.200586 0.0563808 0.149563 0.919338\n",
" 443 2.186e+00 2.435e+08 1.498e-01 -- 3.512e+02 -- 0.0928252 -0.363377 -1.4512 -1.7479 -2.34994 -2.73899 -3.4612 0.239188 0.109928 0.157881 0.200582 0.0563891 0.14957 0.919338\n",
" 445 3.207e+00 4.072e+07 7.106e-01 -- 3.505e+02 -- 0.104422 -0.363377 -1.4512 -1.7479 -2.34993 -2.73899 -3.4612 0.291471 0.109923 0.157882 0.200614 0.0563947 0.149592 0.919339\n",
" 446 3.453e+00 3.733e+06 4.698e+00 -- 3.458e+02 -- -0.0763908 -0.363361 -1.45121 -1.74788 -2.35021 -2.73891 -3.46119 -0.643341 0.10981 0.158001 0.199689 0.0585065 0.150869 0.919317\n",
" 448 2.985e+00 1.422e+06 1.924e+00 -- 3.478e+02 -- -0.0500124 -0.36339 -1.4512 -1.74786 -2.34993 -2.7391 -3.46121 -0.583889 0.110183 0.157776 0.200426 0.0551411 0.148099 0.919337\n",
" 450 3.389e+00 1.653e+06 2.223e-01 -- 3.480e+02 -- -0.0350817 -0.363393 -1.4512 -1.74786 -2.34989 -2.73912 -3.46121 -0.545114 0.110235 0.157748 0.200523 0.0547811 0.147759 0.919338\n",
" 452 4.450e+00 1.833e+06 1.695e-01 -- 3.482e+02 -- -0.0231916 -0.363393 -1.4512 -1.74786 -2.34989 -2.73912 -3.46121 -0.515006 0.110238 0.15775 0.200522 0.0548683 0.147787 0.919337\n",
" 454 7.001e+00 2.038e+06 1.566e-01 -- 3.483e+02 -- -0.0128712 -0.363392 -1.4512 -1.74786 -2.3499 -2.73911 -3.46121 -0.489289 0.110232 0.157756 0.200508 0.0550141 0.147866 0.919335\n",
" 456 2.133e+01 2.270e+06 1.442e-01 -- 3.485e+02 -- -0.00386017 -0.36339 -1.4512 -1.74786 -2.34991 -2.7391 -3.46121 -0.467919 0.110226 0.157762 0.200491 0.0551616 0.14795 0.919333\n",
" 458 1.676e+01 2.528e+06 1.371e-01 -- 3.486e+02 -- 0.00437402 -0.363389 -1.4512 -1.74786 -2.34991 -2.7391 -3.46121 -0.449042 0.11022 0.157769 0.200474 0.0553006 0.148032 0.919331\n",
" 460 5.489e+00 2.814e+06 1.297e-01 -- 3.487e+02 -- 0.0117036 -0.363388 -1.4512 -1.74786 -2.34992 -2.73909 -3.46121 -0.431565 0.110213 0.157775 0.200459 0.0554329 0.148111 0.91933\n",
" 462 3.102e+00 3.136e+06 1.197e-01 -- 3.488e+02 -- 0.018128 -0.363387 -1.4512 -1.74786 -2.34993 -2.73908 -3.46121 -0.41801 0.110206 0.157781 0.200442 0.0555588 0.148188 0.919329\n",
" 464 2.085e+00 3.494e+06 1.125e-01 -- 3.490e+02 -- 0.0237512 -0.363387 -1.4512 -1.74786 -2.34993 -2.73908 -3.46121 -0.405779 0.1102 0.157786 0.200427 0.0556737 0.148258 0.919327\n",
" 466 1.578e+00 3.891e+06 1.061e-01 -- 3.491e+02 -- 0.0287038 -0.363386 -1.4512 -1.74786 -2.34994 -2.73907 -3.46121 -0.394935 0.110194 0.157791 0.200413 0.0557793 0.148323 0.919326\n",
" 468 1.215e+00 4.333e+06 1.019e-01 -- 3.492e+02 -- 0.0332333 -0.363385 -1.4512 -1.74786 -2.34994 -2.73907 -3.46121 -0.385103 0.110188 0.157796 0.2004 0.0558765 0.148384 0.919325\n",
" 470 8.728e-01 4.825e+06 9.728e-02 -- 3.493e+02 -- 0.0372705 -0.363384 -1.4512 -1.74786 -2.34995 -2.73906 -3.46121 -0.376014 0.110183 0.1578 0.200388 0.0559674 0.148442 0.919324\n",
" 472 7.791e-01 5.374e+06 8.909e-02 -- 3.494e+02 -- 0.0405235 -0.363384 -1.4512 -1.74786 -2.34995 -2.73906 -3.46121 -0.368803 0.110178 0.157805 0.200376 0.0560518 0.148496 0.919323\n",
" 474 6.891e-01 5.981e+06 8.746e-02 -- 3.494e+02 -- 0.0436808 -0.363383 -1.4512 -1.74786 -2.34996 -2.73906 -3.46121 -0.362446 0.110173 0.157808 0.200366 0.0561246 0.148541 0.919323\n",
" 476 5.921e-01 6.661e+06 8.541e-02 -- 3.495e+02 -- 0.0466909 -0.363383 -1.4512 -1.74786 -2.34996 -2.73905 -3.46121 -0.357513 0.110169 0.157812 0.200356 0.0561939 0.148585 0.919322\n",
" 478 3.144e-01 7.415e+06 8.354e-02 -- 3.496e+02 -- 0.0494557 -0.363382 -1.4512 -1.74786 -2.34996 -2.73905 -3.46121 -0.352194 0.110165 0.157815 0.200346 0.0562588 0.148627 0.919321\n",
" 480 4.451e-01 8.264e+06 7.056e-02 -- 3.497e+02 -- 0.0510106 -0.363382 -1.4512 -1.74786 -2.34997 -2.73905 -3.46121 -0.349714 0.110161 0.157818 0.200336 0.0563208 0.148667 0.919321\n",
" 482 2.834e-01 9.191e+06 7.707e-02 -- 3.498e+02 -- 0.0532813 -0.363381 -1.4512 -1.74786 -2.34997 -2.73905 -3.46121 -0.346633 0.110159 0.15782 0.20033 0.0563633 0.148692 0.91932\n",
" 484 3.966e-01 1.023e+07 7.072e-02 -- 3.498e+02 -- 0.0547914 -0.363381 -1.4512 -1.74786 -2.34997 -2.73904 -3.46121 -0.342721 0.110156 0.157823 0.200323 0.0564112 0.148724 0.91932\n",
" 486 2.514e-01 1.136e+07 7.734e-02 -- 3.499e+02 -- 0.0569644 -0.363381 -1.4512 -1.74786 -2.34997 -2.73904 -3.46121 -0.337696 0.110153 0.157824 0.200319 0.056451 0.148749 0.919319\n",
" 488 2.119e-01 1.266e+07 6.951e-02 -- 3.500e+02 -- 0.0583964 -0.36338 -1.4512 -1.74786 -2.34998 -2.73904 -3.46121 -0.335476 0.11015 0.157827 0.20031 0.0565002 0.148783 0.919319\n",
" 490 1.907e-01 1.409e+07 6.640e-02 -- 3.500e+02 -- 0.0596337 -0.36338 -1.4512 -1.74786 -2.34998 -2.73904 -3.46121 -0.33443 0.110147 0.157829 0.200304 0.0565377 0.148807 0.919318\n",
" 492 2.838e-01 1.566e+07 6.668e-02 -- 3.501e+02 -- 0.060771 -0.36338 -1.4512 -1.74786 -2.34998 -2.73904 -3.46121 -0.330323 0.110145 0.157831 0.200301 0.0565667 0.148826 0.919318\n",
" 494 2.169e-01 1.737e+07 7.289e-02 -- 3.502e+02 -- 0.062496 -0.36338 -1.4512 -1.74786 -2.34998 -2.73903 -3.46121 -0.324585 0.110142 0.157832 0.200299 0.056597 0.148846 0.919318\n",
" 496 1.775e-01 1.940e+07 6.791e-02 -- 3.502e+02 -- 0.0638514 -0.363379 -1.4512 -1.74786 -2.34998 -2.73903 -3.46121 -0.32577 0.11014 0.157835 0.200289 0.0566408 0.148875 0.919317\n",
" 497 4.848e-01 6.026e+09 5.483e+00 -- 3.448e+02 -- 0.0541459 -0.363377 -1.4512 -1.74786 -2.35001 -2.73902 -3.4612 -0.383591 0.110125 0.157851 0.200189 0.056956 0.149081 0.919315\n",
" 499 3.946e+00 2.201e+08 6.636e+00 -- 3.514e+02 -- 0.0518619 -0.36338 -1.4512 -1.74786 -2.34998 -2.73904 -3.46121 -0.364994 0.110159 0.157825 0.200285 0.0565514 0.14877 0.919318\n",
"********************\n",
"0.071793 -0.363381 -1.4512 -1.74785 -2.35 -2.73904 -3.46121 -0.509038 0.110198 0.157822 0.200171 0.0565592 0.148673 0.919314\n",
"0.00680549 6.76709e-06 1.61276e-06 5.24533e-05 0.000285416 0.000268179 6.23129e-06 0.028847 0.000202035 7.49946e-05 0.000565924 0.00181438 0.00135023 0.000137249\n",
"-78607.4 133.971 0.348338 -0.642816 -0.163519 -0.0095348 0.0102973 -2654.2 38.5323 -4.2263 0.532549 -0.374281 -0.0618559 0.00134632\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": 1,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"ERROR:root:Line magic function `%autoreload` not found.\n"
]
},
{
"ename": "NameError",
"evalue": "name 'clag' is not defined",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-1-b2ff5ab5f6f9>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mget_ipython\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmagic\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mu'autoreload'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpe\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mclag\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0merrors\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mCx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpe\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;31mNameError\u001b[0m: name 'clag' is not defined"
]
}
],
"source": [
"%autoreload\n",
"p, pe = clag.errors(Cx, p, pe)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"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": 2,
"metadata": {
"collapsed": false
},
"outputs": [
{
"ename": "NameError",
"evalue": "name 'fqd' is not defined",
"output_type": "error",
"traceback": [
"\u001b[0;31m----------------------------------------------\u001b[0m",
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-2-d86f08ecda84>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0mxscale\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'log'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m;\u001b[0m \u001b[0mylim\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0merrorbar\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfqd\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlag\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0myerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlage\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfmt\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'o'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mms\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mcolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"black\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0mlag\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mNameError\u001b[0m: name 'fqd' is not defined"
]
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAhMAAAFrCAYAAABrOgsVAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nJtmb5BVJ7h2P/XKSDyZ
"text/plain": [
"<matplotlib.figure.Figure at 0x7f59ff7ed810>"
]
},
"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",
"lag"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"mu,sigma = norm.fit(lag,loc=12e-2)\n",
"xscale('log'); ylim(-10,10)\n",
"errorbar(fqd, lag, yerr=lage, fmt='o', ms=10,color=\"black\")\n",
"plot(fqd,norm.pdf(fqd,mu,sigma))\n",
"mu,sigma\n",
"\n",
"\n"
]
}
],
"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
}
Reference in New Issue Copy Permalink