Example of HBM.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pystan as ps\n",
    "import seaborn as sns\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x122f81668>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "npts = 1000\n",
    "sigma = 0.05\n",
    "mean = 0.27\n",
    "He_true = np.random.randn(npts) * sigma + mean\n",
    "He_err = 0.06\n",
    "obs = He_true + np.random.randn(npts) * He_err\n",
    "sns.distplot(He_true)\n",
    "sns.distplot(obs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:pystan:COMPILING THE C++ CODE FOR MODEL anon_model_ad7aaefa22e3a4b0b77447797db8472f NOW.\n",
      "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/Cython/Compiler/Main.py:367: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /var/folders/2_/b8v0t8pn1hj1p3r4lyfvvv2h0000gn/T/tmpnjr60nyz/stanfit4anon_model_ad7aaefa22e3a4b0b77447797db8472f_5491463316556437409.pyx\n",
      "  tree = Parsing.p_module(s, pxd, full_module_name)\n"
     ]
    }
   ],
   "source": [
    "model = '''\n",
    "data {\n",
    "    int N;\n",
    "    real He[N];\n",
    "    real tau;\n",
    "}\n",
    "parameters {\n",
    "    real mu;\n",
    "    real<lower=0> sigma;\n",
    "    real He_true_std[N];\n",
    "}\n",
    "transformed parameters {\n",
    "    real He_true[N];\n",
    "    for (i in 1:N){\n",
    "        He_true[i] = mu + sigma * He_true_std[i];\n",
    "    }\n",
    "}\n",
    "model {\n",
    "    He_true_std ~ normal(0, 1);\n",
    "    He ~ normal(He_true, tau);\n",
    "    mu ~ normal(0.27, 0.1);\n",
    "    sigma ~ uniform(0, 1);\n",
    "}\n",
    "'''\n",
    "sm = ps.StanModel(model_code=model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "dat = {'N': npts,\n",
    "      'He': obs,\n",
    "      'tau': He_err}\n",
    "fit = sm.sampling(data=dat, iter=2000, chains=4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Inference for Stan model: anon_model_ad7aaefa22e3a4b0b77447797db8472f.\n",
      "4 chains, each with iter=2000; warmup=1000; thin=1; \n",
      "post-warmup draws per chain=1000, total post-warmup draws=4000.\n",
      "\n",
      "                    mean se_mean     sd   2.5%    25%    50%    75%  97.5%  n_eff   Rhat\n",
      "mu                  0.27  4.6e-5 2.5e-3   0.26   0.26   0.27   0.27   0.27   2990    1.0\n",
      "sigma               0.05  7.0e-5 2.7e-3   0.05   0.05   0.05   0.06   0.06   1448    1.0\n",
      "He_true_std[1]      0.08 10.0e-3   0.74  -1.36  -0.42   0.08   0.58   1.51   5469    1.0\n",
      "He_true_std[2]     -0.51    0.01   0.76   -2.0  -1.02  -0.51-4.9e-3   0.94   5483    1.0\n",
      "He_true_std[3]      0.95  9.9e-3   0.73   -0.5   0.45   0.95   1.44   2.41   5457    1.0\n",
      "He_true_std[4]      0.04    0.01   0.76  -1.46  -0.46   0.04   0.55   1.49   5613    1.0\n",
      "He_true_std[5]     -1.32  9.5e-3   0.76  -2.81  -1.81  -1.33  -0.83   0.21   6464    1.0\n",
      "He_true_std[6]     -0.94    0.01   0.76  -2.44  -1.43  -0.94  -0.44   0.59   5488    1.0\n",
      "He_true_std[7]      0.71  9.4e-3   0.74  -0.72    0.2    0.7   1.21   2.17   6146    1.0\n",
      "He_true_std[8]      1.21    0.01   0.75  -0.27   0.72    1.2   1.69   2.75   5457    1.0\n",
      "He_true_std[9]      0.29  9.3e-3   0.74  -1.14  -0.21   0.28    0.8   1.73   6315    1.0\n",
      "He_true_std[10]     0.79    0.01   0.77  -0.72   0.29   0.79   1.29   2.28   5384    1.0\n",
      "He_true_std[11]     1.69  9.5e-3   0.75   0.18   1.19   1.69   2.19   3.15   6337    1.0\n",
      "He_true_std[12]     -0.2  9.9e-3   0.76  -1.66  -0.72   -0.2   0.31    1.3   5866    1.0\n",
      "He_true_std[13]    -0.41  9.8e-3   0.75  -1.87  -0.91  -0.41   0.09   1.08   5792    1.0\n",
      "He_true_std[14]    -0.34  9.8e-3   0.75  -1.84  -0.84  -0.35   0.14   1.16   5831    1.0\n",
      "He_true_std[15]    -0.77  9.5e-3   0.73  -2.22  -1.26  -0.77  -0.28   0.68   5884    1.0\n",
      "He_true_std[16]     0.22  9.7e-3   0.75  -1.23   -0.3   0.23   0.72   1.71   5936    1.0\n",
      "He_true_std[17]     0.31    0.01   0.76  -1.21  -0.22   0.32   0.82   1.76   5421    1.0\n",
      "He_true_std[18]     0.57  9.5e-3   0.75  -0.92   0.06   0.57   1.08   2.03   6263    1.0\n",
      "He_true_std[19]     0.58    0.01   0.76  -0.95   0.07   0.58   1.08   2.07   5472    1.0\n",
      "He_true_std[20]     0.78  9.9e-3   0.74  -0.69   0.29   0.78   1.27   2.25   5616    1.0\n",
      "He_true_std[21]     -0.2  9.9e-3   0.74  -1.66  -0.69  -0.21    0.3   1.25   5557    1.0\n",
      "He_true_std[22]     0.29  8.7e-3   0.73  -1.14  -0.23   0.31   0.77   1.77   7061    1.0\n",
      "He_true_std[23]    -0.68  9.8e-3   0.76  -2.23   -1.2  -0.68  -0.15    0.8   6055    1.0\n",
      "He_true_std[24]     0.62    0.01   0.75  -0.87   0.13   0.63   1.11   2.11   5589    1.0\n",
      "He_true_std[25]     0.15  9.8e-3   0.73  -1.25  -0.35   0.15   0.62   1.63   5577    1.0\n",
      "He_true_std[26]    -0.18  9.4e-3   0.74  -1.64  -0.67  -0.18   0.31   1.27   6088    1.0\n",
      "He_true_std[27]     0.69    0.01   0.76  -0.79   0.19    0.7    1.2   2.14   5310    1.0\n",
      "He_true_std[28]     0.36    0.01   0.75   -1.1  -0.13   0.36   0.85    1.8   5250    1.0\n",
      "He_true_std[29]     0.95  9.9e-3   0.77  -0.53   0.42   0.95   1.46   2.46   6043    1.0\n",
      "He_true_std[30]    -1.27    0.01   0.76  -2.85  -1.78  -1.28  -0.74   0.22   4337    1.0\n",
      "He_true_std[31]    -0.01  9.5e-3   0.72  -1.45  -0.49-8.8e-3   0.47   1.42   5842    1.0\n",
      "He_true_std[32]     -1.1  9.9e-3   0.74  -2.59  -1.57   -1.1  -0.59   0.33   5596    1.0\n",
      "He_true_std[33]    -0.38  9.9e-3   0.73  -1.78  -0.87  -0.38   0.11   1.07   5487    1.0\n",
      "He_true_std[34]    -0.04    0.01   0.76   -1.5  -0.58  -0.04    0.5   1.47   5045    1.0\n",
      "He_true_std[35]     0.65    0.01   0.76  -0.79   0.11   0.64   1.17   2.13   4969    1.0\n",
      "He_true_std[36]     0.14    0.01   0.74  -1.27  -0.37   0.14   0.64   1.59   5414    1.0\n",
      "He_true_std[37]    -0.83  9.7e-3   0.74   -2.3  -1.32  -0.83  -0.33   0.65   5852    1.0\n",
      "He_true_std[38]     0.09  9.3e-3   0.73  -1.34  -0.42   0.09   0.61   1.56   6250    1.0\n",
      "He_true_std[39]     1.03    0.01   0.75  -0.42   0.52   1.03   1.54   2.52   5557    1.0\n",
      "He_true_std[40]     -0.1  9.3e-3   0.73  -1.53   -0.6   -0.1   0.41    1.3   6049    1.0\n",
      "He_true_std[41]     1.36  9.6e-3   0.72  -0.07   0.87   1.36   1.83   2.76   5601    1.0\n",
      "He_true_std[42]      0.4  9.7e-3   0.74  -1.08  -0.09    0.4    0.9   1.85   5855    1.0\n",
      "He_true_std[43]     0.05    0.01   0.75  -1.42  -0.43   0.06   0.56   1.55   5025    1.0\n",
      "He_true_std[44]    -0.03    0.01   0.77  -1.54  -0.54  -0.04   0.49   1.48   5708    1.0\n",
      "He_true_std[45]    -0.34    0.01   0.75  -1.79  -0.86  -0.34   0.17   1.15   5203    1.0\n",
      "He_true_std[46]    -1.04    0.01   0.76  -2.55  -1.55  -1.04  -0.51   0.45   5361    1.0\n",
      "He_true_std[47]     0.01    0.01   0.75  -1.45  -0.48   0.01    0.5   1.53   5090    1.0\n",
      "He_true_std[48]     0.61    0.01   0.75  -0.83   0.09   0.61   1.14   2.11   5475    1.0\n",
      "He_true_std[49]    -0.59  9.9e-3   0.75  -2.06   -1.1  -0.59  -0.09   0.87   5727    1.0\n",
      "He_true_std[50]      0.7 10.0e-3   0.75  -0.78   0.18   0.71   1.21   2.16   5598    1.0\n",
      "He_true_std[51]    -1.28 10.0e-3   0.75  -2.75  -1.79  -1.29  -0.77    0.2   5725    1.0\n",
      "He_true_std[52]     0.83    0.01   0.75  -0.63   0.33   0.82   1.33   2.27   4855    1.0\n",
      "He_true_std[53]     0.94    0.01   0.74  -0.51   0.45   0.94   1.45   2.39   5128    1.0\n",
      "He_true_std[54]    -0.88  8.9e-3   0.71  -2.29  -1.34  -0.89  -0.42   0.55   6374    1.0\n",
      "He_true_std[55]     0.17  9.9e-3   0.73  -1.27  -0.32   0.16   0.66   1.59   5437    1.0\n",
      "He_true_std[56]    -0.52  9.2e-3   0.76  -2.03  -1.03   -0.5  -0.02   0.98   6818    1.0\n",
      "He_true_std[57]    -0.28 10.0e-3   0.76  -1.77  -0.79  -0.28   0.23   1.18   5833    1.0\n",
      "He_true_std[58]    -0.06 10.0e-3   0.74  -1.51  -0.55  -0.06   0.45   1.38   5561    1.0\n",
      "He_true_std[59]     0.42    0.01   0.76  -1.09   -0.1   0.42   0.94   1.93   5139    1.0\n",
      "He_true_std[60]     0.54    0.01   0.72   -0.9   0.04   0.54   1.03   1.97   4881    1.0\n",
      "He_true_std[61]    -0.38  9.7e-3   0.75  -1.83   -0.9  -0.39   0.13   1.09   5967    1.0\n",
      "He_true_std[62]    -0.48    0.01   0.74  -1.98  -0.98  -0.48   0.02   0.98   5221    1.0\n",
      "He_true_std[63]    -0.58  9.3e-3   0.76  -2.06  -1.08   -0.6  -0.09   0.89   6549    1.0\n",
      "He_true_std[64]    -0.43    0.01   0.76  -1.92  -0.94  -0.41   0.09   1.05   5611    1.0\n",
      "He_true_std[65]    -0.42    0.01   0.75  -1.89  -0.92  -0.42   0.06   1.05   4963    1.0\n",
      "He_true_std[66]     0.18  8.9e-3   0.72  -1.19  -0.32   0.18   0.66   1.61   6558    1.0\n",
      "He_true_std[67]     0.56    0.01   0.73  -0.88   0.07   0.55   1.06   1.92   4710    1.0\n",
      "He_true_std[68]    -1.34  9.5e-3   0.76  -2.85  -1.83  -1.33  -0.84   0.11   6280    1.0\n",
      "He_true_std[69]    -0.37  9.4e-3   0.74  -1.82  -0.86  -0.36   0.13   1.09   6216    1.0\n",
      "He_true_std[70]    -0.19  9.8e-3   0.75  -1.66  -0.71   -0.2   0.33   1.26   5840    1.0\n",
      "He_true_std[71]     1.21    0.01   0.74  -0.24    0.7    1.2    1.7   2.63   5365    1.0\n",
      "He_true_std[72]    -0.51    0.01   0.73  -1.93   -1.0  -0.52-3.5e-3    0.9   4949    1.0\n",
      "He_true_std[73]    -0.84    0.01   0.73  -2.25  -1.35  -0.84  -0.34   0.61   5233    1.0\n",
      "He_true_std[74]    -0.05    0.01   0.75  -1.53  -0.57  -0.04   0.46   1.38   5615    1.0\n",
      "He_true_std[75]    -0.62  9.6e-3   0.76  -2.13  -1.12  -0.62  -0.11   0.87   6291    1.0\n",
      "He_true_std[76]      0.5  9.6e-3   0.74  -0.94 7.0e-3   0.49    1.0   1.98   5990    1.0\n",
      "He_true_std[77]     0.42    0.01   0.73  -0.96  -0.08   0.42   0.93   1.79   4484    1.0\n",
      "He_true_std[78]     0.06 10.0e-3   0.74  -1.41  -0.44   0.07   0.54   1.52   5550    1.0\n",
      "He_true_std[79]     0.21  9.5e-3   0.73  -1.27  -0.27   0.23    0.7   1.63   5907    1.0\n",
      "He_true_std[80]    -1.69  9.9e-3   0.76  -3.16   -2.2  -1.69  -1.17  -0.17   5887    1.0\n",
      "He_true_std[81]     0.27  9.9e-3   0.74  -1.23  -0.22   0.28   0.77   1.71   5485    1.0\n",
      "He_true_std[82]    -0.94  9.3e-3   0.72  -2.33  -1.43  -0.93  -0.45   0.46   5947    1.0\n",
      "He_true_std[83]    -1.17  9.1e-3   0.76   -2.7  -1.68  -1.16  -0.68   0.29   6969    1.0\n",
      "He_true_std[84]     -0.4  9.7e-3   0.77  -1.89  -0.89   -0.4   0.12   1.11   6204    1.0\n",
      "He_true_std[85]     -0.8  9.2e-3   0.73  -2.21   -1.3   -0.8  -0.29   0.61   6280    1.0\n",
      "He_true_std[86]     1.04  9.4e-3   0.73   -0.4   0.54   1.05   1.52   2.49   5988    1.0\n",
      "He_true_std[87]   7.7e-3  9.8e-3   0.74  -1.45  -0.51   0.01   0.51   1.49   5655    1.0\n",
      "He_true_std[88]     0.08  9.6e-3   0.73  -1.37  -0.41   0.08   0.55   1.53   5911    1.0\n",
      "He_true_std[89]     0.52  9.9e-3   0.72  -0.87   0.02   0.52    1.0   1.89   5237    1.0\n",
      "He_true_std[90]    -0.82  9.5e-3   0.73  -2.27  -1.31  -0.82  -0.31    0.6   5931    1.0\n",
      "He_true_std[91]    -0.46    0.01   0.74  -1.91  -0.97  -0.45   0.04   1.01   5426    1.0\n",
      "He_true_std[92]     0.16  9.9e-3   0.73  -1.23  -0.33   0.15   0.66   1.56   5455    1.0\n",
      "He_true_std[93]    -0.71    0.01   0.77  -2.19  -1.24  -0.72   -0.2    0.8   5438    1.0\n",
      "He_true_std[94]     1.49    0.01   0.75   0.04   0.99   1.48    2.0   2.99   5179    1.0\n",
      "He_true_std[95]     1.03  9.9e-3   0.74  -0.45   0.54   1.02   1.51   2.51   5564    1.0\n",
      "He_true_std[96]    -0.63  9.9e-3   0.74  -2.07  -1.11  -0.62  -0.14   0.81   5599    1.0\n",
      "He_true_std[97]    -0.95    0.01   0.76  -2.42  -1.46  -0.96  -0.43   0.56   5472    1.0\n",
      "He_true_std[98]     0.28    0.01   0.74  -1.18  -0.23   0.28   0.79   1.74   4994    1.0\n",
      "He_true_std[99]     0.12 10.0e-3   0.72  -1.29  -0.38   0.12   0.61   1.51   5233    1.0\n",
      "He_true_std[100]     0.1  9.9e-3   0.73  -1.34  -0.38   0.09   0.59   1.51   5437    1.0\n",
      "He_true_std[101]   -0.17  9.7e-3   0.74  -1.64  -0.67  -0.17   0.36   1.28   5854    1.0\n",
      "He_true_std[102]   -0.74    0.01   0.73  -2.16  -1.24  -0.74  -0.24    0.7   5199    1.0\n",
      "He_true_std[103]   -0.46    0.01   0.75  -1.92  -0.97  -0.45   0.06   1.01   5293    1.0\n",
      "He_true_std[104]   -0.57    0.01   0.75  -2.09  -1.06  -0.56  -0.07   0.91   4788    1.0\n",
      "He_true_std[105]    0.33  9.7e-3   0.73  -1.09  -0.18   0.33   0.84    1.8   5728    1.0\n",
      "He_true_std[106]    0.42  9.8e-3   0.75  -1.04  -0.08   0.42   0.93   1.86   5894    1.0\n",
      "He_true_std[107]    0.31    0.01   0.74  -1.11  -0.19   0.29    0.8   1.81   5068    1.0\n",
      "He_true_std[108]    0.24    0.01   0.75  -1.22  -0.28   0.24   0.74   1.71   5648    1.0\n",
      "He_true_std[109]    0.97    0.01   0.74   -0.5   0.48   0.97   1.47   2.46   5047    1.0\n",
      "He_true_std[110]    0.68  9.4e-3   0.75  -0.78   0.18   0.68   1.17   2.19   6316    1.0\n",
      "He_true_std[111]   -0.71  9.9e-3   0.77  -2.25  -1.22  -0.71   -0.2   0.82   6020    1.0\n",
      "He_true_std[112]    0.56  9.4e-3   0.75  -0.94   0.07   0.56   1.06   2.07   6334    1.0\n",
      "He_true_std[113]   -0.15    0.01   0.75  -1.64  -0.64  -0.15   0.37   1.33   5188    1.0\n",
      "He_true_std[114]   -0.79  9.8e-3   0.76  -2.29  -1.31  -0.79  -0.26   0.66   6013    1.0\n",
      "He_true_std[115]   -0.92  9.9e-3   0.76  -2.38  -1.43  -0.92  -0.42   0.54   5867    1.0\n",
      "He_true_std[116]   -1.31  9.8e-3   0.75  -2.81  -1.81  -1.28  -0.79    0.1   5748    1.0\n",
      "He_true_std[117]   -0.16    0.01   0.74  -1.59  -0.65  -0.16   0.34    1.3   5034    1.0\n",
      "He_true_std[118]    0.42    0.01   0.75   -1.1  -0.09   0.41   0.93   1.86   5330    1.0\n",
      "He_true_std[119]   -0.19  9.4e-3   0.74  -1.69  -0.68  -0.18    0.3   1.28   6171    1.0\n",
      "He_true_std[120]   -0.42  9.9e-3   0.75  -1.92  -0.91  -0.42   0.08   1.01   5706    1.0\n",
      "He_true_std[121]   -1.05    0.01   0.78  -2.54  -1.58  -1.05  -0.53   0.47   5411    1.0\n",
      "He_true_std[122]   -1.08  9.1e-3   0.74  -2.55  -1.57  -1.09  -0.59   0.35   6631    1.0\n",
      "He_true_std[123]    0.34    0.01   0.75  -1.13  -0.16   0.33   0.85   1.81   5652    1.0\n",
      "He_true_std[124]   -0.92    0.01   0.73  -2.38  -1.42  -0.92  -0.43    0.5   5375    1.0\n",
      "He_true_std[125]    -1.7  9.7e-3   0.73  -3.15  -2.21   -1.7  -1.19  -0.27   5781    1.0\n",
      "He_true_std[126]   -0.21  9.5e-3   0.74  -1.66  -0.72  -0.22   0.29   1.26   6065    1.0\n",
      "He_true_std[127]   -0.61  9.8e-3   0.77  -2.11  -1.14  -0.61  -0.08   0.89   6170    1.0\n",
      "He_true_std[128]   -0.66  9.6e-3   0.73  -2.08  -1.16  -0.65  -0.17   0.74   5777    1.0\n",
      "He_true_std[129]   -0.57    0.01   0.75   -2.0   -1.1  -0.59  -0.07   0.92   5496    1.0\n",
      "He_true_std[130]     0.1    0.01   0.73  -1.34  -0.39   0.09   0.59   1.51   5265    1.0\n",
      "He_true_std[131]   -0.99  9.8e-3   0.75  -2.43  -1.49  -1.01  -0.49   0.49   5810    1.0\n",
      "He_true_std[132]   -0.56  9.1e-3   0.73  -1.98  -1.06  -0.57  -0.07   0.86   6420    1.0\n",
      "He_true_std[133]    0.04    0.01   0.74  -1.42  -0.45   0.04   0.57   1.48   4547    1.0\n",
      "He_true_std[134]    0.01    0.01   0.75  -1.47  -0.49   0.01   0.52   1.49   5611    1.0\n",
      "He_true_std[135]    0.27    0.01   0.76   -1.2  -0.26   0.27   0.77   1.79   4989    1.0\n",
      "He_true_std[136]    0.62    0.01   0.75  -0.87   0.11   0.61   1.12    2.1   5293    1.0\n",
      "He_true_std[137]    0.61  9.6e-3   0.74  -0.84   0.11   0.63    1.1   2.07   5941    1.0\n",
      "He_true_std[138]   -0.54  9.5e-3   0.74   -2.0  -1.01  -0.55  -0.05   0.95   6066    1.0\n",
      "He_true_std[139]    0.26  9.8e-3   0.75  -1.19  -0.25   0.27   0.76   1.68   5837    1.0\n",
      "He_true_std[140]    0.39  9.5e-3   0.73  -1.04  -0.11   0.39   0.89   1.82   5913    1.0\n",
      "He_true_std[141]    0.27  9.5e-3   0.73  -1.17  -0.23   0.27   0.76   1.71   5949    1.0\n",
      "He_true_std[142]    0.28    0.01   0.73  -1.16  -0.19   0.29   0.77   1.72   5246    1.0\n",
      "He_true_std[143]    0.26    0.01   0.75  -1.18  -0.25   0.26   0.77   1.72   5169    1.0\n",
      "He_true_std[144]   -0.08  9.7e-3   0.75  -1.56   -0.6  -0.07   0.43   1.39   5919    1.0\n",
      "He_true_std[145]   -0.87  9.7e-3   0.76  -2.33  -1.39  -0.89  -0.37   0.57   6052    1.0\n",
      "He_true_std[146]   -0.44  9.4e-3   0.75  -1.93  -0.95  -0.44   0.08    1.0   6392    1.0\n",
      "He_true_std[147]   -0.23    0.01   0.73  -1.69  -0.72  -0.23   0.25   1.22   5024    1.0\n",
      "He_true_std[148]   -0.27  9.3e-3   0.74  -1.74  -0.75  -0.26   0.21   1.17   6224    1.0\n",
      "He_true_std[149]   -0.33  9.8e-3   0.75  -1.82  -0.83  -0.32   0.17   1.13   5831    1.0\n",
      "He_true_std[150]    0.65  9.2e-3   0.73  -0.81   0.15   0.65   1.15   2.08   6371    1.0\n",
      "He_true_std[151]    -1.1  9.9e-3   0.73  -2.49   -1.6   -1.1  -0.59   0.29   5398    1.0\n",
      "He_true_std[152]   -0.44  9.6e-3   0.72  -1.86  -0.91  -0.44   0.05   0.97   5572    1.0\n",
      "He_true_std[153]   -0.67  9.8e-3   0.75  -2.16  -1.18  -0.65  -0.18   0.75   5798    1.0\n",
      "He_true_std[154]    0.17  9.9e-3   0.72  -1.26  -0.32   0.16   0.65   1.56   5343    1.0\n",
      "He_true_std[155]  7.7e-3  9.9e-3   0.74  -1.42   -0.5 2.4e-3   0.51   1.45   5582    1.0\n",
      "He_true_std[156]    1.16  9.5e-3   0.75  -0.33   0.67   1.17   1.67   2.66   6232    1.0\n",
      "He_true_std[157]   -0.11 10.0e-3   0.74  -1.56  -0.59  -0.12   0.39   1.33   5436    1.0\n",
      "He_true_std[158]    0.23  9.7e-3   0.75  -1.23  -0.27   0.23   0.73   1.69   5986    1.0\n",
      "He_true_std[159]    0.17  9.3e-3   0.76  -1.33  -0.36   0.17    0.7    1.6   6576    1.0\n",
      "He_true_std[160]    0.76  9.4e-3   0.73  -0.67   0.26   0.76   1.27   2.18   6158    1.0\n",
      "He_true_std[161]    0.36  9.5e-3   0.74  -1.09  -0.14   0.37   0.86   1.79   6143    1.0\n",
      "He_true_std[162]    0.78  9.7e-3   0.72  -0.65    0.3   0.79   1.24   2.18   5448    1.0\n",
      "He_true_std[163]   -0.48    0.01   0.76  -1.97   -1.0  -0.49   0.04   0.99   5143    1.0\n",
      "He_true_std[164]    0.37  9.6e-3   0.73  -1.08  -0.14   0.37   0.86   1.79   5807    1.0\n",
      "He_true_std[165]    0.03  9.5e-3   0.73  -1.38  -0.47   0.03   0.52   1.48   5851    1.0\n",
      "He_true_std[166]   -0.18  9.8e-3   0.75  -1.63   -0.7  -0.18   0.33    1.3   5893    1.0\n",
      "He_true_std[167]    -1.4    0.01   0.77  -2.89  -1.94  -1.41  -0.88    0.1   5150    1.0\n",
      "He_true_std[168]   -0.15    0.01   0.75   -1.6  -0.67  -0.14   0.37   1.22   4565    1.0\n",
      "He_true_std[169]    1.09  9.7e-3   0.75   -0.4   0.57   1.09   1.61   2.55   5985    1.0\n",
      "He_true_std[170]   -0.06  9.2e-3   0.73  -1.51  -0.55  -0.05   0.43   1.34   6222    1.0\n",
      "He_true_std[171]   -0.41    0.01   0.73  -1.83   -0.9   -0.4    0.1   1.03   5313    1.0\n",
      "He_true_std[172]   -0.98    0.01   0.73  -2.43  -1.48   -1.0  -0.48   0.48   5025    1.0\n",
      "He_true_std[173]   -0.26  9.8e-3   0.75   -1.7  -0.77  -0.25   0.22   1.22   5826    1.0\n",
      "He_true_std[174]   -0.36    0.01   0.75  -1.83  -0.87  -0.36   0.14   1.11   4807    1.0\n",
      "He_true_std[175]   -1.02  9.4e-3   0.75  -2.45  -1.53  -1.02  -0.52   0.48   6267    1.0\n",
      "He_true_std[176]    0.17    0.01   0.74  -1.31  -0.33   0.17   0.67   1.62   5200    1.0\n",
      "He_true_std[177]    0.63    0.01   0.74  -0.82   0.13   0.65   1.13   2.03   5167    1.0\n",
      "He_true_std[178]    0.18    0.01   0.72   -1.2  -0.29   0.18   0.63    1.6   5117    1.0\n",
      "He_true_std[179]    0.75  9.6e-3   0.71  -0.63   0.27   0.74   1.24   2.11   5468    1.0\n",
      "He_true_std[180]    0.83  9.4e-3   0.73  -0.63   0.33   0.84   1.32   2.33   6015    1.0\n",
      "He_true_std[181]    0.91  9.4e-3   0.73  -0.52    0.4    0.9    1.4   2.33   6010    1.0\n",
      "He_true_std[182]   -0.04    0.01   0.77  -1.55  -0.56  -0.03   0.49   1.45   5861    1.0\n",
      "He_true_std[183]   -0.36  9.1e-3   0.75  -1.81  -0.87  -0.35   0.16   1.07   6735    1.0\n",
      "He_true_std[184]    -0.1  9.4e-3   0.74  -1.59  -0.59  -0.11   0.41   1.39   6183    1.0\n",
      "He_true_std[185]    -0.7    0.01   0.75  -2.17   -1.2   -0.7  -0.19   0.78   4986    1.0\n",
      "He_true_std[186]   -0.38    0.01   0.75  -1.85  -0.88  -0.38   0.11   1.09   5445    1.0\n",
      "He_true_std[187]   -0.54  9.6e-3   0.73  -1.96  -1.05  -0.55  -0.04   0.86   5824    1.0\n",
      "He_true_std[188]    1.51  9.4e-3   0.72   0.06   1.02   1.52    2.0   2.89   5959    1.0\n",
      "He_true_std[189]    0.28  9.5e-3   0.74  -1.18   -0.2   0.29   0.78   1.72   6012    1.0\n",
      "He_true_std[190]    -0.2  9.4e-3   0.75  -1.64  -0.71  -0.19   0.31   1.26   6409    1.0\n",
      "He_true_std[191]    0.07  8.4e-3   0.75  -1.39  -0.44   0.07   0.57   1.57   8024    1.0\n",
      "He_true_std[192]    0.82  9.2e-3   0.73  -0.58   0.33   0.83   1.32   2.25   6379    1.0\n",
      "He_true_std[193]   -0.49    0.01   0.75  -1.95  -0.99  -0.48   0.01   1.01   4228    1.0\n",
      "He_true_std[194]   -1.09  9.9e-3   0.75  -2.58   -1.6  -1.09  -0.58   0.41   5780    1.0\n",
      "He_true_std[195]   -0.77  9.5e-3   0.74  -2.24  -1.28  -0.77  -0.27   0.69   6042    1.0\n",
      "He_true_std[196]    -0.7  9.7e-3   0.74  -2.18  -1.18  -0.69  -0.22   0.75   5794    1.0\n",
      "He_true_std[197]   -0.15  9.3e-3   0.74  -1.57  -0.65  -0.15   0.35   1.31   6308    1.0\n",
      "He_true_std[198]    0.12    0.01   0.74  -1.34  -0.39   0.13   0.63   1.55   4615    1.0\n",
      "He_true_std[199]   -0.25  9.4e-3   0.74  -1.69  -0.75  -0.26   0.25   1.23   6290    1.0\n",
      "He_true_std[200]     0.8  9.4e-3   0.73  -0.59    0.3    0.8    1.3   2.25   5994    1.0\n",
      "He_true_std[201]    0.86    0.01   0.72  -0.56   0.36   0.85   1.35   2.26   5072    1.0\n",
      "He_true_std[202]    1.04  9.5e-3   0.76  -0.46   0.51   1.02   1.55   2.58   6487    1.0\n",
      "He_true_std[203]    0.07    0.01   0.75  -1.39  -0.46   0.07   0.56   1.57   5225    1.0\n",
      "He_true_std[204]   -0.76    0.01   0.74  -2.18  -1.28  -0.76  -0.25   0.71   5385    1.0\n",
      "He_true_std[205]   -0.34    0.01   0.76  -1.86  -0.83  -0.34   0.15   1.17   5317    1.0\n",
      "He_true_std[206]    -0.2    0.01   0.74  -1.66   -0.7  -0.19   0.28   1.27   4918    1.0\n",
      "He_true_std[207]   -0.23    0.01   0.76  -1.71  -0.75  -0.22   0.29   1.22   5727    1.0\n",
      "He_true_std[208]    0.62  9.5e-3   0.75  -0.83   0.11   0.61   1.13   2.05   6358    1.0\n",
      "He_true_std[209]   -0.59  9.0e-3   0.76  -2.09  -1.09  -0.58  -0.09   0.91   7043    1.0\n",
      "He_true_std[210]    0.62    0.01   0.75  -0.84    0.1   0.64   1.15   2.06   5658    1.0\n",
      "He_true_std[211]   -0.24  9.9e-3   0.73  -1.65  -0.75  -0.25   0.25   1.17   5456    1.0\n",
      "He_true_std[212]   -0.27    0.01   0.72   -1.7  -0.75  -0.26   0.21    1.1   4972    1.0\n",
      "He_true_std[213]   -0.14  9.3e-3   0.75  -1.64  -0.67  -0.14   0.37    1.3   6430    1.0\n",
      "He_true_std[214]   -0.22  9.6e-3   0.75  -1.69  -0.74  -0.23   0.28   1.24   6059    1.0\n",
      "He_true_std[215]    0.44  9.4e-3   0.74  -1.01  -0.07   0.45   0.94   1.89   6164    1.0\n",
      "He_true_std[216]     0.3  9.5e-3   0.73  -1.14   -0.2    0.3    0.8   1.72   5915    1.0\n",
      "He_true_std[217]    1.04  9.4e-3   0.75  -0.43   0.53   1.04   1.54   2.49   6263    1.0\n",
      "He_true_std[218]     0.4  9.9e-3   0.73  -1.01  -0.11   0.39    0.9   1.82   5424    1.0\n",
      "He_true_std[219]    0.67  9.0e-3   0.74  -0.78   0.17   0.65   1.18   2.16   6690    1.0\n",
      "He_true_std[220]    0.54  9.3e-3   0.74  -0.93   0.05   0.54   1.03   2.02   6411    1.0\n",
      "He_true_std[221]    0.11  9.3e-3   0.73  -1.29  -0.38   0.12   0.59   1.56   6172    1.0\n",
      "He_true_std[222]    0.67  9.5e-3   0.74  -0.75   0.17   0.66   1.16   2.11   5933    1.0\n",
      "He_true_std[223]   -0.28  9.7e-3   0.74  -1.77  -0.75  -0.28    0.2   1.21   5857    1.0\n",
      "He_true_std[224]    0.85  9.4e-3   0.76  -0.63   0.33   0.85   1.38   2.29   6647    1.0\n",
      "He_true_std[225]    0.66  9.6e-3   0.76   -0.8   0.14   0.66   1.18   2.09   6212    1.0\n",
      "He_true_std[226]   -1.25    0.01   0.76  -2.72  -1.75  -1.26  -0.75   0.23   4746    1.0\n",
      "He_true_std[227]   -0.03    0.01   0.74  -1.47  -0.54  -0.02   0.47    1.4   5222    1.0\n",
      "He_true_std[228]    0.28    0.01   0.74   -1.2  -0.21   0.27   0.77   1.75   5180    1.0\n",
      "He_true_std[229]    0.86    0.01   0.74  -0.55   0.35   0.85   1.37   2.32   5376    1.0\n",
      "He_true_std[230]   -0.09    0.01   0.74  -1.59  -0.58  -0.08   0.41   1.32   5453    1.0\n",
      "He_true_std[231]     0.3  9.9e-3   0.75   -1.2  -0.21   0.31   0.81   1.77   5700    1.0\n",
      "He_true_std[232]    0.37  8.9e-3   0.73  -1.06  -0.11   0.37   0.85   1.83   6812    1.0\n",
      "He_true_std[233]     1.2  9.3e-3   0.74  -0.23   0.68    1.2    1.7   2.64   6226    1.0\n",
      "He_true_std[234]   -0.69    0.01   0.74  -2.16   -1.2  -0.68  -0.18   0.78   5103    1.0\n",
      "He_true_std[235]    0.75    0.01   0.75   -0.7   0.24   0.74   1.25   2.17   5170    1.0\n",
      "He_true_std[236]   -0.31    0.01   0.75  -1.84  -0.81  -0.29    0.2   1.15   5535    1.0\n",
      "He_true_std[237]    0.12    0.01   0.76  -1.38   -0.4   0.13   0.64   1.65   5072    1.0\n",
      "He_true_std[238]   -0.67  9.7e-3   0.73  -2.12  -1.16  -0.67  -0.17   0.74   5667    1.0\n",
      "He_true_std[239]    0.09    0.01   0.73   -1.3  -0.38    0.1   0.58    1.5   4925    1.0\n",
      "He_true_std[240]    0.39  9.6e-3   0.76  -1.11  -0.14   0.39    0.9   1.84   6318    1.0\n",
      "He_true_std[241]   -0.51  9.4e-3   0.74  -1.93  -1.02  -0.51 2.6e-4   0.94   6171    1.0\n",
      "He_true_std[242]   -0.43 10.0e-3   0.76  -1.99  -0.94  -0.43   0.07   1.06   5903    1.0\n",
      "He_true_std[243]    0.33    0.01   0.75  -1.15  -0.16   0.33   0.83    1.8   5230    1.0\n",
      "He_true_std[244]   -0.03    0.01   0.76  -1.56  -0.55  -0.03   0.49   1.45   4877    1.0\n",
      "He_true_std[245]   -0.08  9.8e-3   0.77  -1.56  -0.61   -0.1   0.45   1.42   6253    1.0\n",
      "He_true_std[246]   -0.61 10.0e-3   0.75  -2.09  -1.11  -0.61  -0.11   0.82   5623    1.0\n",
      "He_true_std[247]    0.34  9.6e-3   0.76  -1.16  -0.17   0.33   0.87    1.8   6283    1.0\n",
      "He_true_std[248]   -0.13  9.7e-3   0.74  -1.57  -0.64  -0.14   0.37   1.38   5846    1.0\n",
      "He_true_std[249]   -0.31  9.7e-3   0.73  -1.75  -0.82  -0.32   0.18   1.08   5618    1.0\n",
      "He_true_std[250]    0.32    0.01   0.74  -1.15  -0.18   0.32   0.82   1.74   5002    1.0\n",
      "He_true_std[251]   -0.65    0.01   0.75  -2.08  -1.15  -0.65  -0.17   0.83   5421    1.0\n",
      "He_true_std[252]    0.02    0.01   0.73  -1.41  -0.46   0.02   0.52   1.47   4969    1.0\n",
      "He_true_std[253]   -0.85    0.01   0.75  -2.35  -1.35  -0.85  -0.35   0.63   5455    1.0\n",
      "He_true_std[254]   -0.93    0.01   0.74   -2.4  -1.43  -0.94  -0.44   0.52   5420    1.0\n",
      "He_true_std[255]   -1.34 10.0e-3   0.74  -2.79  -1.82  -1.35  -0.85    0.1   5474    1.0\n",
      "He_true_std[256]   -0.25    0.01   0.74   -1.7  -0.77  -0.25   0.27   1.17   4495    1.0\n",
      "He_true_std[257]   -0.37    0.01   0.74  -1.78  -0.88  -0.37   0.14   1.02   5327    1.0\n",
      "He_true_std[258]    0.51  9.9e-3   0.74  -0.91   0.02   0.52   1.02   1.95   5554    1.0\n",
      "He_true_std[259]   -0.83 10.0e-3   0.74  -2.25  -1.32  -0.84  -0.32   0.64   5542    1.0\n",
      "He_true_std[260]   -0.27  9.6e-3   0.75  -1.73  -0.76  -0.28   0.22   1.23   6104    1.0\n",
      "He_true_std[261]   -0.41    0.01   0.75  -1.88  -0.91  -0.42   0.09   1.09   5288    1.0\n",
      "He_true_std[262]   -0.34  9.8e-3   0.73  -1.76  -0.84  -0.35   0.17   1.09   5497    1.0\n",
      "He_true_std[263]    1.39  9.1e-3   0.75  -0.07   0.88   1.39   1.91   2.85   6856    1.0\n",
      "He_true_std[264]     0.1    0.01   0.76  -1.37  -0.42   0.09   0.61   1.63   5306    1.0\n",
      "He_true_std[265]    0.78  9.2e-3   0.74   -0.7   0.29   0.78   1.26   2.25   6423    1.0\n",
      "He_true_std[266]   -0.06    0.01   0.73   -1.5  -0.56  -0.07   0.44    1.4   5096    1.0\n",
      "He_true_std[267]    0.43    0.01   0.75  -1.06  -0.07   0.42   0.95   1.84   5243    1.0\n",
      "He_true_std[268]    0.39    0.01   0.72  -1.01   -0.1   0.38   0.89   1.83   5060    1.0\n",
      "He_true_std[269]   -0.69  9.7e-3   0.73  -2.12  -1.17  -0.69   -0.2   0.77   5557    1.0\n",
      "He_true_std[270]   -0.91  9.7e-3   0.73   -2.3   -1.4  -0.92  -0.42   0.48   5569    1.0\n",
      "He_true_std[271]    0.25  9.9e-3   0.77  -1.29  -0.28   0.25   0.78   1.73   6102    1.0\n",
      "He_true_std[272]   -0.29    0.01   0.76  -1.74  -0.81  -0.29    0.2   1.19   5682    1.0\n",
      "He_true_std[273]   -1.21    0.01   0.75  -2.64  -1.73   -1.2  -0.72   0.26   4820    1.0\n",
      "He_true_std[274]   -0.12  9.7e-3   0.73  -1.61  -0.61  -0.12   0.37   1.31   5685    1.0\n",
      "He_true_std[275]   -1.37    0.01   0.75  -2.79  -1.87  -1.37  -0.88   0.12   5376    1.0\n",
      "He_true_std[276]    0.61    0.01   0.75  -0.82    0.1   0.62   1.13   2.08   5413    1.0\n",
      "He_true_std[277]    1.05    0.01   0.74  -0.36   0.55   1.05   1.54   2.52   4887    1.0\n",
      "He_true_std[278]   -0.19  9.3e-3   0.75  -1.64  -0.71  -0.18   0.32   1.27   6514    1.0\n",
      "He_true_std[279]   -0.18  9.6e-3   0.74  -1.65  -0.67  -0.18    0.3    1.3   5931    1.0\n",
      "He_true_std[280]    -0.4    0.01   0.74  -1.86  -0.91  -0.41    0.1   1.03   5426    1.0\n",
      "He_true_std[281]   -0.79  9.9e-3   0.75   -2.3  -1.26  -0.79  -0.31   0.71   5720    1.0\n",
      "He_true_std[282]   -0.72  9.4e-3   0.75  -2.19  -1.23  -0.72  -0.22   0.79   6370    1.0\n",
      "He_true_std[283]   -1.22  9.4e-3   0.75  -2.69  -1.74  -1.22  -0.72   0.25   6340    1.0\n",
      "He_true_std[284]    0.07  9.7e-3   0.75   -1.4  -0.43   0.07   0.57   1.55   5981    1.0\n",
      "He_true_std[285]    0.76    0.01   0.75  -0.75   0.26   0.75   1.27   2.27   5511    1.0\n",
      "He_true_std[286]    0.81    0.01   0.73  -0.65   0.31   0.82    1.3   2.23   4823    1.0\n",
      "He_true_std[287]   -0.56    0.01   0.76  -2.06  -1.07  -0.56  -0.06   0.92   5676    1.0\n",
      "He_true_std[288]   -0.24  9.9e-3   0.73  -1.64  -0.72  -0.23   0.22   1.23   5345    1.0\n",
      "He_true_std[289]   -0.21    0.01   0.72  -1.66   -0.7  -0.21   0.27   1.16   4952    1.0\n",
      "He_true_std[290]    0.35    0.01   0.76  -1.11  -0.15   0.35   0.85   1.82   5694    1.0\n",
      "He_true_std[291]    0.27 10.0e-3   0.74  -1.14  -0.24   0.26   0.77    1.8   5519    1.0\n",
      "He_true_std[292]    0.93  9.7e-3   0.75  -0.57   0.41   0.92   1.44    2.4   6025    1.0\n",
      "He_true_std[293]    -0.2  9.0e-3   0.74  -1.63  -0.68   -0.2   0.28   1.27   6662    1.0\n",
      "He_true_std[294]     0.5 10.0e-3   0.74  -0.98-6.9e-3   0.52   1.02   1.97   5539    1.0\n",
      "He_true_std[295]     0.2  9.1e-3   0.73  -1.28  -0.29   0.19   0.67   1.67   6473    1.0\n",
      "He_true_std[296]   -0.34    0.01   0.73  -1.74  -0.83  -0.35   0.16   1.09   4609    1.0\n",
      "He_true_std[297]    0.48 10.0e-3   0.74  -0.95-4.9e-3   0.48   0.96   1.92   5455    1.0\n",
      "He_true_std[298]    0.83  9.8e-3   0.72  -0.55   0.35   0.82   1.31   2.24   5497    1.0\n",
      "He_true_std[299]    0.49    0.01   0.75  -0.98  -0.01   0.49   0.99   1.98   5227    1.0\n",
      "He_true_std[300]    0.17  9.2e-3   0.73  -1.24  -0.32   0.18   0.67   1.61   6349    1.0\n",
      "He_true_std[301]   -0.44  9.8e-3   0.75  -1.91  -0.96  -0.44   0.04   1.06   5960    1.0\n",
      "He_true_std[302]   -0.71    0.01   0.75  -2.13  -1.22  -0.71  -0.22   0.77   5457    1.0\n",
      "He_true_std[303]   -0.39  9.4e-3   0.74  -1.84  -0.89  -0.38   0.11   1.08   6247    1.0\n",
      "He_true_std[304]    0.31    0.01   0.75  -1.16  -0.18   0.31   0.81   1.77   5081    1.0\n",
      "He_true_std[305]   -0.18  9.2e-3   0.72  -1.58  -0.68  -0.18    0.3   1.26   6194    1.0\n",
      "He_true_std[306]    0.52    0.01   0.73  -0.89   0.02   0.54   1.02   1.97   5357    1.0\n",
      "He_true_std[307]   -0.49  9.7e-3   0.76  -1.97   -1.0  -0.48   0.01   0.99   6057    1.0\n",
      "He_true_std[308]    -1.2  9.7e-3   0.75  -2.67   -1.7   -1.2   -0.7   0.27   5929    1.0\n",
      "He_true_std[309]   -0.18  8.7e-3   0.73   -1.6  -0.67  -0.17   0.32   1.25   7018    1.0\n",
      "He_true_std[310]    0.01  9.1e-3   0.75  -1.42  -0.49 4.0e-3   0.53   1.47   6899    1.0\n",
      "He_true_std[311]    0.23  9.4e-3   0.72  -1.19  -0.27   0.24   0.72    1.6   5916    1.0\n",
      "He_true_std[312]   -0.92 10.0e-3   0.77   -2.4  -1.44  -0.93   -0.4   0.54   5872    1.0\n",
      "He_true_std[313]    0.35    0.01   0.73  -1.11  -0.15   0.36   0.83   1.79   4795    1.0\n",
      "He_true_std[314]    0.13    0.01   0.75  -1.34  -0.37   0.12   0.62   1.59   5137    1.0\n",
      "He_true_std[315]    0.12  9.6e-3   0.76  -1.34  -0.41   0.12   0.64   1.58   6232    1.0\n",
      "He_true_std[316]    0.59  9.5e-3   0.72  -0.84   0.11   0.59   1.09    2.0   5863    1.0\n",
      "He_true_std[317]    0.43  9.8e-3   0.74  -1.04  -0.07   0.43   0.93   1.86   5694    1.0\n",
      "He_true_std[318]    0.18    0.01   0.76  -1.31  -0.34   0.18    0.7   1.63   4961    1.0\n",
      "He_true_std[319]    0.07  9.2e-3   0.77  -1.41  -0.43   0.07   0.59   1.56   6976    1.0\n",
      "He_true_std[320]     0.8  9.0e-3   0.74  -0.67    0.3   0.79   1.29   2.24   6782    1.0\n",
      "He_true_std[321]   -0.26  8.6e-3   0.74  -1.69  -0.77  -0.27   0.23    1.2   7309    1.0\n",
      "He_true_std[322]    0.58    0.01   0.75  -0.88   0.03   0.59    1.1   2.04   5634    1.0\n",
      "He_true_std[323]   -0.08  9.2e-3   0.75  -1.52  -0.59  -0.08   0.43   1.35   6542    1.0\n",
      "He_true_std[324]     0.4    0.01   0.75  -1.09   -0.1    0.4    0.9   1.84   4890    1.0\n",
      "He_true_std[325]   -0.11    0.01   0.76  -1.58  -0.64   -0.1   0.43   1.32   4604    1.0\n",
      "He_true_std[326]   -0.75    0.01   0.75  -2.22  -1.24  -0.75  -0.26   0.73   5529    1.0\n",
      "He_true_std[327]    1.03    0.01   0.76  -0.45   0.51   1.03   1.55   2.48   5124    1.0\n",
      "He_true_std[328]    0.21    0.01   0.74  -1.22  -0.29    0.2    0.7   1.67   4963    1.0\n",
      "He_true_std[329]    0.49  9.5e-3   0.74  -0.97  -0.01   0.51   0.98   1.98   6113    1.0\n",
      "He_true_std[330]   -0.36    0.01   0.75  -1.85  -0.85  -0.37   0.16   1.13   5308    1.0\n",
      "He_true_std[331]    0.73    0.01   0.72  -0.67   0.23   0.72   1.21   2.15   4676    1.0\n",
      "He_true_std[332]    0.39    0.01   0.73  -1.04  -0.12   0.39   0.88   1.82   5254    1.0\n",
      "He_true_std[333]    0.13    0.01   0.71  -1.28  -0.36   0.12   0.62   1.49   4906    1.0\n",
      "He_true_std[334]   -1.04    0.01   0.74  -2.49  -1.53  -1.03  -0.56   0.38   5114    1.0\n",
      "He_true_std[335]    0.41  9.7e-3   0.75   -1.1  -0.09   0.42   0.92    1.9   5907    1.0\n",
      "He_true_std[336]    0.32  9.9e-3   0.75  -1.15  -0.21   0.32   0.83   1.73   5719    1.0\n",
      "He_true_std[337]    -1.2    0.01   0.75  -2.67   -1.7  -1.18   -0.7   0.27   5084    1.0\n",
      "He_true_std[338]    -0.9  9.8e-3   0.73  -2.36  -1.41  -0.89  -0.41   0.53   5601    1.0\n",
      "He_true_std[339]     0.5  9.2e-3   0.73  -0.94 4.2e-3    0.5   0.98   1.96   6389    1.0\n",
      "He_true_std[340]   -1.06    0.01   0.75  -2.47  -1.56  -1.07  -0.56   0.44   5179    1.0\n",
      "He_true_std[341]   -0.68    0.01   0.78  -2.24   -1.2  -0.65  -0.15   0.83   5918    1.0\n",
      "He_true_std[342]   -0.04  9.8e-3   0.76  -1.52  -0.55  -0.04   0.46   1.44   6025    1.0\n",
      "He_true_std[343]    0.51  9.3e-3   0.73   -0.9   0.01    0.5   1.01   1.91   6207    1.0\n",
      "He_true_std[344]     0.1  9.9e-3   0.75  -1.36  -0.42    0.1   0.61   1.56   5754    1.0\n",
      "He_true_std[345]    0.27  9.9e-3   0.74   -1.2  -0.23   0.28    0.8    1.7   5529    1.0\n",
      "He_true_std[346]    0.57    0.01   0.74  -0.89   0.05   0.57   1.08   1.99   5093    1.0\n",
      "He_true_std[347]   -0.63  9.5e-3   0.77  -2.15  -1.15  -0.65  -0.12    0.9   6632    1.0\n",
      "He_true_std[348]    1.19    0.01   0.74  -0.24   0.68   1.19    1.7   2.63   4744    1.0\n",
      "He_true_std[349]     0.3    0.01   0.75  -1.18  -0.19    0.3   0.78   1.81   5337    1.0\n",
      "He_true_std[350]   -0.94    0.01   0.73  -2.37  -1.42  -0.93  -0.47   0.54   4736    1.0\n",
      "He_true_std[351]   -0.63    0.01   0.74  -2.07  -1.14  -0.63  -0.12   0.81   5368    1.0\n",
      "He_true_std[352]    0.49  9.6e-3   0.71   -0.9   0.02   0.49   0.96   1.88   5511    1.0\n",
      "He_true_std[353]    0.52  9.0e-3   0.72  -0.89   0.03   0.52   1.01   1.91   6390    1.0\n",
      "He_true_std[354]    0.06  9.7e-3   0.73  -1.34  -0.46   0.07   0.56   1.49   5735    1.0\n",
      "He_true_std[355]    0.67    0.01   0.75  -0.81   0.16   0.66   1.18   2.17   4559    1.0\n",
      "He_true_std[356]   -0.13    0.01   0.76  -1.62  -0.64  -0.14   0.38   1.39   5581    1.0\n",
      "He_true_std[357]   -0.27  9.4e-3   0.73  -1.72  -0.77  -0.26   0.23   1.16   6088    1.0\n",
      "He_true_std[358]    -0.2 10.0e-3   0.74  -1.65   -0.7   -0.2    0.3   1.27   5469    1.0\n",
      "He_true_std[359]    0.11  8.9e-3   0.73  -1.34  -0.37   0.12   0.61   1.49   6659    1.0\n",
      "He_true_std[360]   -0.85    0.01   0.74  -2.27  -1.36  -0.84  -0.36   0.62   5151    1.0\n",
      "He_true_std[361]   -0.14  9.9e-3   0.74  -1.61  -0.64  -0.15   0.36   1.29   5529    1.0\n",
      "He_true_std[362]    1.26    0.01   0.75   -0.2   0.77   1.26   1.77    2.7   4894    1.0\n",
      "He_true_std[363]    1.02  9.6e-3   0.74  -0.42   0.51   1.02   1.53   2.44   5943    1.0\n",
      "He_true_std[364]    0.11    0.01   0.74  -1.33   -0.4   0.12   0.61   1.57   5396    1.0\n",
      "He_true_std[365]    0.18  9.4e-3   0.75   -1.3  -0.31   0.18   0.68    1.7   6373    1.0\n",
      "He_true_std[366]    1.08    0.01   0.72  -0.31    0.6   1.08   1.55   2.55   5220    1.0\n",
      "He_true_std[367]   -0.19  9.8e-3   0.74  -1.64  -0.68  -0.18   0.31   1.25   5727    1.0\n",
      "He_true_std[368]   -0.39  9.7e-3   0.74  -1.84   -0.9  -0.39   0.12   1.05   5864    1.0\n",
      "He_true_std[369]   -0.45    0.01   0.76  -1.94  -0.96  -0.46   0.06   1.05   5288    1.0\n",
      "He_true_std[370]   -0.59    0.01   0.74   -2.0  -1.09  -0.59   -0.1   0.85   5167    1.0\n",
      "He_true_std[371]    0.43  9.8e-3   0.75  -1.08  -0.07   0.42   0.93   1.88   5906    1.0\n",
      "He_true_std[372]   -0.37    0.01   0.73   -1.8  -0.85  -0.37    0.1    1.1   5150    1.0\n",
      "He_true_std[373]    0.53    0.01   0.75  -0.93   0.02   0.54   1.03   2.01   5495    1.0\n",
      "He_true_std[374]    0.37  9.9e-3   0.74  -1.09  -0.12   0.37   0.87   1.82   5678    1.0\n",
      "He_true_std[375]    0.48    0.01   0.74  -0.98-6.6e-3   0.48   0.98   1.96   4706    1.0\n",
      "He_true_std[376]    0.29  9.5e-3   0.73  -1.14  -0.21   0.29   0.77   1.73   5819    1.0\n",
      "He_true_std[377]   -0.82 10.0e-3   0.74  -2.25  -1.31  -0.83  -0.32   0.65   5536    1.0\n",
      "He_true_std[378]   -0.72    0.01   0.73  -2.18   -1.2   -0.7  -0.22   0.69   4847    1.0\n",
      "He_true_std[379]   -0.28  8.9e-3   0.73  -1.73  -0.76  -0.28   0.21   1.18   6834    1.0\n",
      "He_true_std[380]    0.03  9.9e-3   0.74  -1.43  -0.48   0.02   0.53   1.51   5617    1.0\n",
      "He_true_std[381]    0.17  9.2e-3   0.76   -1.3  -0.35   0.17   0.69   1.64   6805    1.0\n",
      "He_true_std[382]    0.08    0.01   0.74  -1.38  -0.41   0.07   0.59   1.56   4823    1.0\n",
      "He_true_std[383]   -0.24  9.8e-3   0.74  -1.68  -0.73  -0.25   0.25   1.23   5616    1.0\n",
      "He_true_std[384]   -0.44  8.7e-3   0.73  -1.84  -0.94  -0.43   0.05   0.98   6999    1.0\n",
      "He_true_std[385]    0.35    0.01   0.74  -1.09  -0.13   0.33   0.83   1.81   4519    1.0\n",
      "He_true_std[386]   -0.78 10.0e-3   0.74  -2.21  -1.28  -0.79  -0.29   0.68   5433    1.0\n",
      "He_true_std[387]   -0.74  9.8e-3   0.73  -2.18  -1.22  -0.74  -0.25   0.68   5653    1.0\n",
      "He_true_std[388]   -0.28  9.9e-3   0.73  -1.68  -0.77  -0.29   0.21    1.2   5477    1.0\n",
      "He_true_std[389]    1.78  9.2e-3   0.73   0.36   1.28   1.78   2.27   3.21   6274    1.0\n",
      "He_true_std[390]    0.95  9.9e-3   0.74  -0.53   0.47   0.95   1.43   2.47   5599    1.0\n",
      "He_true_std[391]    0.15    0.01   0.76  -1.36  -0.36   0.14   0.67   1.67   5549    1.0\n",
      "He_true_std[392]   -0.11    0.01   0.74  -1.57  -0.62  -0.11   0.39   1.35   5054    1.0\n",
      "He_true_std[393]     0.8  9.7e-3   0.75  -0.65   0.29    0.8    1.3   2.25   5967    1.0\n",
      "He_true_std[394]   -0.18    0.01   0.74  -1.57  -0.66  -0.18   0.31   1.27   5088    1.0\n",
      "He_true_std[395]   -0.83    0.01   0.75  -2.28  -1.33  -0.84  -0.34   0.68   5456    1.0\n",
      "He_true_std[396]    0.04  9.6e-3   0.74  -1.43  -0.47   0.04   0.55    1.5   5959    1.0\n",
      "He_true_std[397]   -1.26  9.5e-3   0.74  -2.69  -1.76  -1.27  -0.76   0.22   6032    1.0\n",
      "He_true_std[398]   -1.19    0.01   0.73  -2.62   -1.7  -1.19   -0.7   0.21   4932    1.0\n",
      "He_true_std[399]   -0.12  9.9e-3   0.74  -1.58  -0.61  -0.11   0.38   1.35   5651    1.0\n",
      "He_true_std[400]    0.64    0.01   0.75  -0.84   0.13   0.64   1.15   2.17   5350    1.0\n",
      "He_true_std[401]    0.03    0.01   0.75  -1.43  -0.48   0.02   0.54   1.49   5281    1.0\n",
      "He_true_std[402]   -0.42 10.0e-3   0.76  -1.88  -0.93  -0.42   0.07   1.12   5728    1.0\n",
      "He_true_std[403]    0.36    0.01   0.75  -1.11  -0.15   0.36   0.86   1.86   5052    1.0\n",
      "He_true_std[404]   -0.13    0.01   0.75  -1.57  -0.63  -0.15    0.4   1.29   5512    1.0\n",
      "He_true_std[405]   -0.95    0.01   0.77  -2.47  -1.46  -0.94  -0.44   0.54   5350    1.0\n",
      "He_true_std[406]    0.35  8.9e-3   0.73   -1.1  -0.16   0.35   0.85   1.79   6762    1.0\n",
      "He_true_std[407]    0.03  9.2e-3   0.72  -1.36  -0.46   0.01   0.51   1.44   6128    1.0\n",
      "He_true_std[408]   -0.61    0.01   0.75  -2.08  -1.09  -0.61  -0.11   0.88   4814    1.0\n",
      "He_true_std[409]   -1.27    0.01   0.75  -2.71  -1.77  -1.27  -0.75   0.17   5132    1.0\n",
      "He_true_std[410]    0.29    0.01   0.74   -1.2   -0.2   0.29   0.79   1.74   5363    1.0\n",
      "He_true_std[411]    1.31  9.4e-3   0.75  -0.21   0.81   1.32   1.81   2.78   6367    1.0\n",
      "He_true_std[412]    -1.6  9.5e-3   0.77  -3.14   -2.1   -1.6  -1.08   -0.1   6505    1.0\n",
      "He_true_std[413]    0.21  9.9e-3   0.75  -1.27  -0.29   0.21   0.71   1.71   5659    1.0\n",
      "He_true_std[414]   -0.63 10.0e-3   0.74  -2.08  -1.13  -0.64  -0.12   0.83   5572    1.0\n",
      "He_true_std[415]    0.27  9.2e-3   0.72  -1.11   -0.2   0.27   0.76   1.64   6127    1.0\n",
      "He_true_std[416]    0.22  9.4e-3   0.76   -1.3  -0.29   0.23   0.72   1.74   6563    1.0\n",
      "He_true_std[417]    0.39    0.01   0.74  -1.05  -0.12   0.37   0.88   1.87   5155    1.0\n",
      "He_true_std[418]    -0.1  9.6e-3   0.73   -1.5  -0.58   -0.1   0.38   1.32   5689    1.0\n",
      "He_true_std[419]   -0.03 10.0e-3   0.73  -1.49  -0.53  -0.02   0.46   1.36   5440    1.0\n",
      "He_true_std[420]    0.59  9.7e-3   0.73  -0.82   0.09    0.6   1.09   2.05   5767    1.0\n",
      "He_true_std[421]   -0.11  9.6e-3   0.73  -1.55  -0.62   -0.1    0.4   1.34   5767    1.0\n",
      "He_true_std[422]    -0.5  9.7e-3   0.74  -1.95   -1.0  -0.48 3.3e-3   0.94   5847    1.0\n",
      "He_true_std[423]   -0.22    0.01   0.75   -1.7  -0.71  -0.22   0.28   1.25   5605    1.0\n",
      "He_true_std[424]   -0.04  9.2e-3   0.74  -1.47  -0.53  -0.05   0.45   1.43   6496    1.0\n",
      "He_true_std[425]   -0.87  9.7e-3   0.75  -2.35  -1.39  -0.89  -0.34   0.61   6088    1.0\n",
      "He_true_std[426]    1.37    0.01   0.74  -0.05   0.87   1.38   1.87   2.86   4591    1.0\n",
      "He_true_std[427]    0.19  9.8e-3   0.75   -1.3  -0.31    0.2   0.71   1.61   5829    1.0\n",
      "He_true_std[428]     1.2    0.01   0.74  -0.27   0.69    1.2   1.71   2.64   4389    1.0\n",
      "He_true_std[429]    0.68  9.5e-3   0.72  -0.78    0.2   0.68   1.17   2.06   5838    1.0\n",
      "He_true_std[430]   -0.06    0.01   0.75  -1.56  -0.56  -0.06   0.46   1.41   4882    1.0\n",
      "He_true_std[431]    0.56    0.01   0.73  -0.86   0.09   0.57   1.04   2.03   5153    1.0\n",
      "He_true_std[432]    0.64    0.01   0.74  -0.79   0.13   0.62   1.15   2.15   5227    1.0\n",
      "He_true_std[433]   -0.31    0.01   0.76  -1.84  -0.81  -0.32    0.2   1.19   5113    1.0\n",
      "He_true_std[434]    0.12    0.01   0.76  -1.36  -0.39   0.12   0.64   1.64   5483    1.0\n",
      "He_true_std[435]    1.38  9.7e-3   0.72  -0.03   0.88   1.37   1.86   2.78   5538    1.0\n",
      "He_true_std[436]   -0.34  9.6e-3   0.76  -1.82  -0.86  -0.34   0.18   1.16   6304    1.0\n",
      "He_true_std[437]     0.1    0.01   0.75  -1.35  -0.41   0.09   0.62   1.58   5072    1.0\n",
      "He_true_std[438]    0.06    0.01   0.74  -1.35  -0.44   0.05   0.57   1.51   4938    1.0\n",
      "He_true_std[439]   -0.37  9.1e-3   0.72  -1.82  -0.85  -0.38   0.11   1.08   6281    1.0\n",
      "He_true_std[440]   -0.16  9.6e-3   0.74  -1.61  -0.66  -0.17   0.36   1.28   5935    1.0\n",
      "He_true_std[441]    0.02    0.01   0.75  -1.49  -0.49   0.02   0.52    1.5   4850    1.0\n",
      "He_true_std[442]   -0.26    0.01   0.75  -1.71  -0.77  -0.27   0.25   1.18   5522    1.0\n",
      "He_true_std[443]    0.29  9.8e-3   0.72  -1.16  -0.19   0.28   0.77   1.75   5393    1.0\n",
      "He_true_std[444]    0.75    0.01   0.74  -0.73   0.27   0.76   1.22   2.23   5354    1.0\n",
      "He_true_std[445]   -0.06    0.01   0.75  -1.53  -0.58  -0.05   0.46   1.41   5321    1.0\n",
      "He_true_std[446]   -0.18  9.8e-3   0.73  -1.64  -0.66  -0.18    0.3   1.24   5617    1.0\n",
      "He_true_std[447]   -0.32  9.0e-3   0.73  -1.77   -0.8  -0.32   0.17   1.09   6565    1.0\n",
      "He_true_std[448]   -0.25  9.6e-3   0.76  -1.71  -0.78  -0.26   0.28   1.24   6245    1.0\n",
      "He_true_std[449]   -1.08    0.01   0.75  -2.52  -1.58  -1.08  -0.56   0.34   5102    1.0\n",
      "He_true_std[450]    0.33    0.01   0.74  -1.13  -0.15   0.32   0.84   1.78   5359    1.0\n",
      "He_true_std[451]   -0.11    0.01   0.77  -1.65  -0.62   -0.1   0.42   1.36   5620    1.0\n",
      "He_true_std[452]    0.53    0.01   0.75  -0.97   0.02   0.52   1.04   1.98   5433    1.0\n",
      "He_true_std[453]   -0.29 10.0e-3   0.75  -1.74   -0.8  -0.29   0.23   1.14   5662    1.0\n",
      "He_true_std[454]   -0.03    0.01   0.76  -1.54  -0.51  -0.02   0.46   1.51   5312    1.0\n",
      "He_true_std[455]    0.42  9.6e-3   0.75  -0.99  -0.09   0.43   0.95   1.86   6129    1.0\n",
      "He_true_std[456]   -1.07  9.4e-3   0.74  -2.54  -1.55  -1.07  -0.57   0.38   6215    1.0\n",
      "He_true_std[457]     0.4    0.01   0.76  -1.09  -0.12   0.39    0.9    1.9   5767    1.0\n",
      "He_true_std[458]    0.51  9.7e-3   0.75  -0.96 6.1e-3   0.52   1.02   2.01   5971    1.0\n",
      "He_true_std[459]    0.69  9.6e-3   0.74  -0.75    0.2    0.7   1.18   2.13   5894    1.0\n",
      "He_true_std[460]   -0.27  9.9e-3   0.76  -1.75  -0.79  -0.27   0.22   1.22   5927    1.0\n",
      "He_true_std[461]    0.44    0.01   0.74   -1.0  -0.05   0.44   0.97   1.84   5425    1.0\n",
      "He_true_std[462]   -1.89  9.9e-3   0.73  -3.38  -2.36  -1.89  -1.41  -0.39   5344    1.0\n",
      "He_true_std[463]    0.05    0.01   0.76  -1.45  -0.46   0.05   0.56   1.54   5753    1.0\n",
      "He_true_std[464]     0.3  9.6e-3   0.75  -1.19  -0.22   0.32   0.82   1.71   6155    1.0\n",
      "He_true_std[465]    0.11  9.6e-3   0.75  -1.34  -0.39   0.12   0.61   1.61   6073    1.0\n",
      "He_true_std[466]    0.83    0.01   0.76  -0.63   0.32   0.82   1.34   2.34   5358    1.0\n",
      "He_true_std[467]   -0.48    0.01   0.74  -1.87   -1.0  -0.46   0.03   0.98   4189    1.0\n",
      "He_true_std[468]    0.78    0.01   0.75  -0.65   0.26   0.78   1.29   2.23   5477    1.0\n",
      "He_true_std[469]   -0.75  9.3e-3   0.73  -2.17  -1.25  -0.75  -0.26   0.69   6187    1.0\n",
      "He_true_std[470]    0.57  9.4e-3   0.74  -0.88   0.07   0.57   1.08   2.02   6242    1.0\n",
      "He_true_std[471]    0.31  9.6e-3   0.73  -1.11  -0.19   0.31   0.81   1.75   5822    1.0\n",
      "He_true_std[472]   -0.34  9.9e-3   0.74  -1.78  -0.84  -0.35   0.17    1.1   5524    1.0\n",
      "He_true_std[473]   -0.59    0.01   0.74  -2.01  -1.11  -0.59  -0.08   0.83   5132    1.0\n",
      "He_true_std[474]    0.09  9.8e-3   0.75   -1.4  -0.41   0.09    0.6   1.55   5807    1.0\n",
      "He_true_std[475]   -0.16    0.01   0.74  -1.61  -0.65  -0.15   0.34   1.26   5063    1.0\n",
      "He_true_std[476]    0.32  9.9e-3   0.74  -1.15  -0.17   0.31    0.8   1.77   5586    1.0\n",
      "He_true_std[477]   -0.19    0.01   0.77  -1.68  -0.71  -0.19   0.33    1.3   5718    1.0\n",
      "He_true_std[478]   -0.03  9.7e-3   0.75  -1.48  -0.54  -0.03   0.49   1.42   5907    1.0\n",
      "He_true_std[479]    0.21  8.8e-3   0.73  -1.22  -0.28   0.21   0.69   1.68   6888    1.0\n",
      "He_true_std[480]    0.65  9.4e-3   0.74  -0.77   0.14   0.65   1.17   2.09   6187    1.0\n",
      "He_true_std[481]   -0.09  9.1e-3   0.72  -1.48  -0.57  -0.09    0.4   1.35   6274    1.0\n",
      "He_true_std[482]    0.21    0.01   0.74  -1.23   -0.3   0.22   0.71   1.65   5458    1.0\n",
      "He_true_std[483]   -0.16  9.5e-3   0.73  -1.51  -0.65  -0.17   0.31   1.27   5857    1.0\n",
      "He_true_std[484]   -0.41  9.6e-3   0.73  -1.83  -0.89  -0.42   0.08   1.07   5787    1.0\n",
      "He_true_std[485]    0.61    0.01   0.75  -0.87   0.11   0.61   1.11   2.11   5239    1.0\n",
      "He_true_std[486]     1.2  9.6e-3   0.73  -0.28   0.72   1.21   1.67   2.67   5815    1.0\n",
      "He_true_std[487]   -0.16  9.1e-3   0.73  -1.57  -0.65  -0.17   0.33   1.27   6402    1.0\n",
      "He_true_std[488]   -1.26    0.01   0.73  -2.69  -1.76  -1.25  -0.76   0.14   4184    1.0\n",
      "He_true_std[489]   -0.55    0.01   0.74  -2.03  -1.04  -0.55  -0.05    0.9   5077    1.0\n",
      "He_true_std[490]    1.08  9.7e-3   0.75   -0.4   0.59   1.07   1.55   2.57   5907    1.0\n",
      "He_true_std[491]    0.22  8.5e-3   0.73   -1.2   -0.3   0.22   0.73   1.65   7334    1.0\n",
      "He_true_std[492]   -0.84    0.01   0.75  -2.33  -1.33  -0.85  -0.35   0.65   5214    1.0\n",
      "He_true_std[493]    0.03    0.01   0.76  -1.45  -0.48   0.02   0.54    1.5   5672    1.0\n",
      "He_true_std[494]    0.36    0.01   0.75  -1.08  -0.14   0.36   0.86    1.8   5545    1.0\n",
      "He_true_std[495]    0.23    0.01   0.75  -1.23  -0.28   0.23   0.75   1.67   4758    1.0\n",
      "He_true_std[496]   -0.18    0.01   0.76  -1.68   -0.7  -0.17   0.33   1.32   4364    1.0\n",
      "He_true_std[497]    0.29  9.2e-3   0.73  -1.17  -0.21   0.29    0.8   1.71   6293    1.0\n",
      "He_true_std[498]    0.55  9.7e-3   0.74  -0.91   0.04   0.54   1.06    2.0   5837    1.0\n",
      "He_true_std[499]   -0.34  9.9e-3   0.74  -1.82  -0.83  -0.35   0.14   1.11   5482    1.0\n",
      "He_true_std[500]  2.7e-3  9.9e-3   0.75  -1.43  -0.53  -0.01   0.51    1.5   5852    1.0\n",
      "He_true_std[501]    0.02  9.1e-3   0.72  -1.41  -0.46   0.02   0.49   1.44   6324    1.0\n",
      "He_true_std[502]    -1.4  9.0e-3   0.73   -2.8  -1.88   -1.4  -0.91   0.04   6537    1.0\n",
      "He_true_std[503]    1.27  9.7e-3   0.75  -0.23   0.77   1.29   1.76   2.72   5986    1.0\n",
      "He_true_std[504]   -1.18    0.01   0.76  -2.66  -1.69  -1.18  -0.67   0.31   4286    1.0\n",
      "He_true_std[505]   -0.39    0.01   0.74  -1.85  -0.88  -0.39   0.11   1.08   5136    1.0\n",
      "He_true_std[506]    0.76  9.7e-3   0.73  -0.65   0.27   0.77   1.24   2.24   5596    1.0\n",
      "He_true_std[507]   -0.46    0.01   0.75  -1.93  -0.95  -0.44   0.05   0.96   5427    1.0\n",
      "He_true_std[508]   -0.47  9.5e-3   0.74  -1.94  -0.96  -0.48   0.01   1.04   6024    1.0\n",
      "He_true_std[509]   -1.02  8.5e-3   0.72  -2.42  -1.51  -1.02  -0.53    0.4   7189    1.0\n",
      "He_true_std[510]   -1.55  9.0e-3   0.74  -3.01  -2.03  -1.54  -1.05  -0.16   6816    1.0\n",
      "He_true_std[511]   -1.16 10.0e-3   0.74  -2.62  -1.68  -1.16  -0.66   0.27   5469    1.0\n",
      "He_true_std[512]   -0.92    0.01   0.75  -2.39  -1.42  -0.93  -0.41   0.54   5288    1.0\n",
      "He_true_std[513]   -1.49    0.01   0.74  -2.95  -1.99   -1.5  -0.99  -0.04   5379    1.0\n",
      "He_true_std[514]     0.4    0.01   0.75  -1.09  -0.09   0.38    0.9    1.9   4929    1.0\n",
      "He_true_std[515]   -0.57 10.0e-3   0.74  -2.02  -1.07  -0.56  -0.07    0.9   5514    1.0\n",
      "He_true_std[516]    0.46  9.3e-3   0.74  -1.01  -0.06   0.45   0.96   1.89   6258    1.0\n",
      "He_true_std[517]    0.58    0.01   0.76  -0.92   0.08   0.59   1.11   2.06   5665    1.0\n",
      "He_true_std[518]    0.08  9.8e-3   0.77  -1.44  -0.44   0.08   0.61   1.58   6137    1.0\n",
      "He_true_std[519]   -0.02  9.1e-3   0.73  -1.46  -0.52  -0.02   0.47   1.42   6474    1.0\n",
      "He_true_std[520]    -0.6    0.01   0.75  -2.07  -1.11  -0.61  -0.08   0.87   5095    1.0\n",
      "He_true_std[521]   -0.01    0.01   0.74  -1.44  -0.53  -0.03   0.48   1.45   5136    1.0\n",
      "He_true_std[522]   -0.42 10.0e-3   0.75  -1.93  -0.92  -0.42   0.09   1.06   5669    1.0\n",
      "He_true_std[523]    0.15  9.8e-3   0.74  -1.29  -0.35   0.14   0.66    1.6   5768    1.0\n",
      "He_true_std[524]    1.36    0.01   0.76   -0.1   0.83   1.35   1.88   2.88   5036    1.0\n",
      "He_true_std[525]   -1.09  9.5e-3   0.77  -2.61  -1.61  -1.09  -0.57   0.42   6636    1.0\n",
      "He_true_std[526]   -0.11 10.0e-3   0.73  -1.54   -0.6   -0.1   0.38   1.31   5349    1.0\n",
      "He_true_std[527]   -1.66  9.8e-3   0.76  -3.12  -2.18  -1.68  -1.16  -0.19   5959    1.0\n",
      "He_true_std[528]    0.52    0.01   0.76  -0.95 9.0e-3   0.53   1.05   1.98   5051    1.0\n",
      "He_true_std[529]    0.48  9.6e-3   0.77  -1.03  -0.06   0.48    1.0   2.01   6446    1.0\n",
      "He_true_std[530]   -0.88  9.6e-3   0.74  -2.33  -1.38  -0.88  -0.38   0.58   6035    1.0\n",
      "He_true_std[531]   -1.23  9.1e-3   0.71  -2.63  -1.72  -1.21  -0.75   0.15   6067    1.0\n",
      "He_true_std[532]   -0.44    0.01   0.73  -1.88  -0.94  -0.44   0.07   1.02   4991    1.0\n",
      "He_true_std[533]   -0.17  9.8e-3   0.76  -1.65  -0.68  -0.17   0.33   1.31   6033    1.0\n",
      "He_true_std[534]    0.58    0.01   0.75  -0.89   0.07   0.59   1.09   2.02   5620    1.0\n",
      "He_true_std[535]   -0.89  9.8e-3   0.75  -2.37  -1.38  -0.91   -0.4   0.58   5811    1.0\n",
      "He_true_std[536]    0.69    0.01   0.76  -0.77   0.17   0.69   1.21   2.19   5580    1.0\n",
      "He_true_std[537]    0.02  9.8e-3   0.73  -1.45  -0.47 1.5e-3   0.51   1.43   5621    1.0\n",
      "He_true_std[538]    0.33  9.4e-3   0.75  -1.14  -0.18   0.33   0.84   1.78   6357    1.0\n",
      "He_true_std[539]   -0.12    0.01   0.75  -1.58  -0.62  -0.13   0.38   1.33   4737    1.0\n",
      "He_true_std[540]    0.06    0.01   0.76  -1.49  -0.45   0.06   0.57   1.58   5225    1.0\n",
      "He_true_std[541]   -0.96  9.6e-3   0.75  -2.44  -1.47  -0.95  -0.46    0.5   6077    1.0\n",
      "He_true_std[542]    1.18    0.01   0.76  -0.32   0.66   1.18   1.69   2.63   5553    1.0\n",
      "He_true_std[543]     0.2  9.4e-3   0.74  -1.27  -0.31   0.19   0.71   1.65   6274    1.0\n",
      "He_true_std[544]   -0.11  9.5e-3   0.77  -1.58  -0.64  -0.12   0.41   1.46   6651    1.0\n",
      "He_true_std[545]   -0.46  9.7e-3   0.74  -1.92  -0.96  -0.46   0.05   0.97   5872    1.0\n",
      "He_true_std[546]    0.46    0.01   0.76  -1.02  -0.05   0.46   0.96   1.94   5747    1.0\n",
      "He_true_std[547]   -0.55    0.01   0.71  -1.94  -1.03  -0.56  -0.07   0.86   4908    1.0\n",
      "He_true_std[548]   -0.26  9.6e-3   0.74  -1.67  -0.78  -0.25   0.23    1.2   6021    1.0\n",
      "He_true_std[549]     0.9  9.7e-3   0.77   -0.6   0.39    0.9   1.41   2.41   6310    1.0\n",
      "He_true_std[550]    -1.0  9.0e-3   0.74  -2.48  -1.49   -1.0  -0.49   0.44   6807    1.0\n",
      "He_true_std[551]    0.48    0.01   0.74  -0.99  -0.02   0.48   0.98   1.92   5048    1.0\n",
      "He_true_std[552]    0.27    0.01   0.75  -1.19  -0.25   0.27   0.78   1.75   5304    1.0\n",
      "He_true_std[553]   -1.14    0.01   0.77  -2.63  -1.66  -1.14  -0.61   0.33   5706    1.0\n",
      "He_true_std[554]   -1.18  9.9e-3   0.75  -2.61  -1.69  -1.19  -0.67    0.3   5700    1.0\n",
      "He_true_std[555]    0.17    0.01   0.73   -1.3  -0.31   0.18   0.65   1.56   5231    1.0\n",
      "He_true_std[556]    0.22    0.01   0.75  -1.25  -0.29   0.23   0.73    1.7   5290    1.0\n",
      "He_true_std[557]   -0.59    0.01   0.74  -2.08   -1.1  -0.58   -0.1   0.85   5428    1.0\n",
      "He_true_std[558]    0.59  9.7e-3   0.75  -0.86   0.09   0.59   1.09   2.08   5925    1.0\n",
      "He_true_std[559]   -0.71    0.01   0.74  -2.21  -1.19   -0.7  -0.22   0.72   5403    1.0\n",
      "He_true_std[560]     0.1 10.0e-3   0.75  -1.35  -0.42    0.1   0.61   1.57   5630    1.0\n",
      "He_true_std[561]   -0.86  9.1e-3   0.71  -2.26  -1.35  -0.85  -0.38   0.55   6174    1.0\n",
      "He_true_std[562] -4.0e-3  9.3e-3   0.72   -1.4  -0.48  -0.02   0.48   1.42   5880    1.0\n",
      "He_true_std[563]   -0.62    0.01   0.73  -2.05  -1.12  -0.62  -0.11   0.81   5302    1.0\n",
      "He_true_std[564]    0.32  9.7e-3   0.73   -1.1  -0.16   0.31   0.79   1.77   5710    1.0\n",
      "He_true_std[565]    0.38  9.7e-3   0.75  -1.08  -0.12   0.38   0.89   1.82   5977    1.0\n",
      "He_true_std[566]    1.65    0.01   0.74    0.2   1.16   1.66   2.16   3.09   5295    1.0\n",
      "He_true_std[567]   -0.63  9.4e-3   0.74  -2.09  -1.11  -0.64  -0.14   0.86   6244    1.0\n",
      "He_true_std[568]    0.41  9.1e-3   0.73   -1.0  -0.07    0.4    0.9   1.86   6377    1.0\n",
      "He_true_std[569]   -1.12  9.4e-3   0.75  -2.57  -1.62  -1.13  -0.63   0.42   6336    1.0\n",
      "He_true_std[570]    -0.2  9.2e-3   0.75  -1.66  -0.71  -0.22   0.31   1.26   6629    1.0\n",
      "He_true_std[571]   -1.17    0.01   0.75  -2.62  -1.68  -1.16  -0.66   0.29   4823    1.0\n",
      "He_true_std[572]   -0.83    0.01   0.74  -2.26  -1.34  -0.84  -0.31   0.59   5348    1.0\n",
      "He_true_std[573]    0.57  9.7e-3   0.74  -0.85   0.06   0.57   1.08   2.04   5865    1.0\n",
      "He_true_std[574]   -0.29    0.01   0.72  -1.73  -0.77  -0.27    0.2   1.12   5054    1.0\n",
      "He_true_std[575]   -0.26  9.3e-3   0.75  -1.73  -0.74  -0.25   0.23   1.25   6397    1.0\n",
      "He_true_std[576]    0.21  9.8e-3   0.74  -1.29   -0.3   0.21   0.72   1.63   5742    1.0\n",
      "He_true_std[577]    0.05  9.2e-3   0.73  -1.36  -0.46   0.05   0.54   1.47   6361    1.0\n",
      "He_true_std[578]    0.67    0.01   0.76  -0.84   0.15   0.67    1.2    2.1   5256    1.0\n",
      "He_true_std[579]    0.77    0.01   0.76   -0.7   0.26   0.77   1.28   2.26   4712    1.0\n",
      "He_true_std[580]   -0.43  9.4e-3   0.74  -1.88  -0.92  -0.43   0.07   1.01   6198    1.0\n",
      "He_true_std[581]   -1.57    0.01   0.76  -3.08  -2.09  -1.58  -1.05  -0.05   5024    1.0\n",
      "He_true_std[582]    0.37  9.6e-3   0.76  -1.15  -0.13   0.39   0.89   1.87   6249    1.0\n",
      "He_true_std[583]    0.08    0.01   0.75  -1.41  -0.43   0.08   0.59   1.59   5157    1.0\n",
      "He_true_std[584]    0.46  9.9e-3   0.74  -0.97  -0.05   0.45   0.95   1.91   5641    1.0\n",
      "He_true_std[585]    0.11    0.01   0.72  -1.27  -0.38   0.11    0.6   1.52   5081    1.0\n",
      "He_true_std[586]    0.19  9.9e-3   0.74  -1.28  -0.29   0.19   0.69    1.6   5502    1.0\n",
      "He_true_std[587]    0.19  9.0e-3   0.74  -1.25  -0.32   0.19    0.7   1.63   6740    1.0\n",
      "He_true_std[588]   -0.91    0.01   0.76  -2.44  -1.41  -0.91   -0.4    0.6   5259    1.0\n",
      "He_true_std[589]   -1.49  9.8e-3   0.74  -2.95  -1.99   -1.5  -0.99  -0.02   5631    1.0\n",
      "He_true_std[590]   -0.43  9.7e-3   0.75  -1.88  -0.92  -0.43   0.07   1.04   6054    1.0\n",
      "He_true_std[591]    0.24  9.8e-3   0.74  -1.19  -0.27   0.25   0.75   1.73   5769    1.0\n",
      "He_true_std[592]   -0.13  9.5e-3   0.78  -1.64  -0.66  -0.13    0.4   1.36   6741    1.0\n",
      "He_true_std[593]   -0.15  9.4e-3   0.75   -1.6  -0.67  -0.15   0.36    1.3   6460    1.0\n",
      "He_true_std[594]   -0.63    0.01   0.76  -2.11  -1.14  -0.62  -0.13   0.86   4264    1.0\n",
      "He_true_std[595]     0.3  8.8e-3   0.72   -1.1  -0.17    0.3   0.78   1.72   6600    1.0\n",
      "He_true_std[596]   -0.12 10.0e-3   0.76  -1.59  -0.62  -0.13   0.39   1.38   5757    1.0\n",
      "He_true_std[597]     0.2 10.0e-3   0.77  -1.32  -0.32   0.21   0.72   1.69   5936    1.0\n",
      "He_true_std[598]    0.88  9.9e-3   0.74  -0.57   0.38   0.88   1.38   2.35   5636    1.0\n",
      "He_true_std[599]    0.42  9.5e-3   0.72  -1.03  -0.06   0.43   0.91   1.79   5757    1.0\n",
      "He_true_std[600]   -0.36  9.3e-3   0.74  -1.79  -0.86  -0.37   0.15    1.1   6216    1.0\n",
      "He_true_std[601]   -0.05  9.8e-3   0.74  -1.54  -0.52  -0.05   0.43   1.41   5662    1.0\n",
      "He_true_std[602]   -0.07  9.6e-3   0.76  -1.56  -0.56  -0.07   0.44    1.4   6239    1.0\n",
      "He_true_std[603]   -0.89    0.01   0.77   -2.4  -1.38  -0.89  -0.37   0.59   5509    1.0\n",
      "He_true_std[604]   -0.44  9.3e-3   0.74  -1.93  -0.96  -0.44   0.07   0.98   6386    1.0\n",
      "He_true_std[605]    0.29  9.8e-3   0.72   -1.1  -0.19   0.28   0.78   1.68   5331    1.0\n",
      "He_true_std[606]    0.97  9.9e-3   0.74  -0.51   0.48   0.97   1.46   2.44   5595    1.0\n",
      "He_true_std[607]   -0.08    0.01   0.75  -1.57  -0.57  -0.07   0.43   1.38   5538    1.0\n",
      "He_true_std[608]   -0.11  9.8e-3   0.76   -1.6  -0.62  -0.12   0.41   1.38   5900    1.0\n",
      "He_true_std[609]   -0.94    0.01   0.74   -2.4  -1.44  -0.91  -0.43    0.5   5089    1.0\n",
      "He_true_std[610]   -0.09  9.7e-3   0.74  -1.51  -0.59  -0.08   0.42   1.35   5881    1.0\n",
      "He_true_std[611]   -0.73  9.5e-3   0.72  -2.15  -1.21  -0.75  -0.23    0.7   5850    1.0\n",
      "He_true_std[612]   -0.38  9.3e-3   0.72  -1.83  -0.86  -0.37    0.1   1.02   6016    1.0\n",
      "He_true_std[613]     0.3  9.8e-3   0.74  -1.15   -0.2   0.29   0.77   1.78   5638    1.0\n",
      "He_true_std[614]   -1.48    0.01   0.76  -3.02  -1.97  -1.46  -0.98   0.02   5610    1.0\n",
      "He_true_std[615]    0.65    0.01   0.77  -0.87   0.12   0.65   1.17   2.15   4353    1.0\n",
      "He_true_std[616]    0.53  9.6e-3   0.76  -0.92   0.03   0.53   1.04    2.0   6221    1.0\n",
      "He_true_std[617]    0.36  9.4e-3   0.75  -1.07  -0.17   0.37   0.87   1.83   6452    1.0\n",
      "He_true_std[618]   -0.27    0.01   0.71  -1.63  -0.74  -0.28   0.21    1.1   4752    1.0\n",
      "He_true_std[619]   -1.17  9.7e-3   0.75  -2.64  -1.68  -1.18  -0.67    0.3   5996    1.0\n",
      "He_true_std[620]    0.54    0.01   0.75  -0.94   0.04   0.54   1.05   2.01   5359    1.0\n",
      "He_true_std[621]    0.29  9.8e-3   0.74  -1.17  -0.21    0.3    0.8   1.73   5704    1.0\n",
      "He_true_std[622]    0.39  9.8e-3   0.76   -1.1  -0.12   0.38   0.89   1.92   5935    1.0\n",
      "He_true_std[623]    0.19    0.01   0.74  -1.29   -0.3   0.18   0.69   1.62   4875    1.0\n",
      "He_true_std[624]    0.53  9.9e-3   0.75  -0.98   0.03   0.52   1.05   1.97   5775    1.0\n",
      "He_true_std[625]    0.68  9.2e-3   0.75   -0.8   0.17   0.68   1.18   2.14   6639    1.0\n",
      "He_true_std[626]    1.28 10.0e-3   0.75  -0.15   0.76   1.28   1.79   2.76   5648    1.0\n",
      "He_true_std[627]   -0.42  9.7e-3   0.72  -1.79  -0.93  -0.42   0.07    1.0   5439    1.0\n",
      "He_true_std[628]   -0.35  9.7e-3   0.73   -1.8  -0.83  -0.34   0.14   1.05   5646    1.0\n",
      "He_true_std[629]   -0.17    0.01   0.73  -1.62  -0.66  -0.17   0.34   1.25   4903    1.0\n",
      "He_true_std[630]    0.04    0.01   0.73  -1.39  -0.45   0.03   0.54   1.48   5338    1.0\n",
      "He_true_std[631]     0.5    0.01   0.74  -0.96 7.8e-3   0.51   0.99   1.95   5503    1.0\n",
      "He_true_std[632]    0.26  9.4e-3   0.74  -1.21  -0.23   0.27   0.77   1.72   6129    1.0\n",
      "He_true_std[633]    0.56  9.6e-3   0.73  -0.89   0.06   0.57   1.06   1.95   5866    1.0\n",
      "He_true_std[634]    0.77 10.0e-3   0.77  -0.73   0.26   0.78   1.28   2.25   5894    1.0\n",
      "He_true_std[635]   -0.16  9.1e-3   0.74  -1.59  -0.65  -0.16   0.34   1.27   6573    1.0\n",
      "He_true_std[636]    0.38  9.7e-3   0.73  -1.07  -0.11   0.37   0.86   1.83   5736    1.0\n",
      "He_true_std[637]    0.24  9.5e-3   0.74  -1.19  -0.25   0.22   0.73    1.7   6100    1.0\n",
      "He_true_std[638]   -0.14  9.5e-3   0.74  -1.56  -0.65  -0.15   0.38   1.26   6080    1.0\n",
      "He_true_std[639]    0.06    0.01   0.73  -1.35  -0.43   0.05   0.55   1.48   5108    1.0\n",
      "He_true_std[640]    0.07 10.0e-3   0.74  -1.38  -0.45   0.07   0.58   1.51   5499    1.0\n",
      "He_true_std[641]    0.71    0.01   0.73  -0.79   0.21   0.72    1.2   2.12   5240    1.0\n",
      "He_true_std[642]    0.36    0.01   0.73  -1.06  -0.15   0.36   0.87   1.77   5306    1.0\n",
      "He_true_std[643]   -0.36    0.01   0.75  -1.87  -0.86  -0.36   0.14    1.1   5392    1.0\n",
      "He_true_std[644]    0.55  9.7e-3   0.71  -0.84   0.07   0.55   1.03   1.96   5408    1.0\n",
      "He_true_std[645]    0.01 10.0e-3   0.73   -1.4  -0.51   0.02   0.53   1.42   5419    1.0\n",
      "He_true_std[646]   -0.41    0.01   0.77  -1.93  -0.94   -0.4   0.12   1.07   5407    1.0\n",
      "He_true_std[647]   -1.15    0.01   0.74  -2.62  -1.64  -1.14  -0.64   0.31   5039    1.0\n",
      "He_true_std[648]    0.06  9.7e-3   0.74  -1.41  -0.44   0.06   0.56   1.52   5831    1.0\n",
      "He_true_std[649]    0.72  9.2e-3   0.73  -0.71   0.21   0.72   1.22   2.13   6282    1.0\n",
      "He_true_std[650]   -0.19  9.8e-3   0.75  -1.65  -0.71   -0.2   0.31   1.28   5813    1.0\n",
      "He_true_std[651]    0.14  9.9e-3   0.74  -1.33  -0.38   0.15   0.63   1.56   5681    1.0\n",
      "He_true_std[652]    1.81  9.8e-3   0.73   0.36   1.33   1.81   2.31   3.24   5461    1.0\n",
      "He_true_std[653]    -0.1    0.01   0.74  -1.53  -0.61  -0.09   0.41   1.35   4973    1.0\n",
      "He_true_std[654]    0.19  9.8e-3   0.75  -1.27  -0.31   0.19    0.7   1.67   5845    1.0\n",
      "He_true_std[655]    0.57    0.01   0.73  -0.85   0.08   0.58   1.04    2.0   4660    1.0\n",
      "He_true_std[656]   -1.21    0.01   0.74  -2.63  -1.73  -1.24  -0.71   0.25   5192    1.0\n",
      "He_true_std[657]    0.73  9.8e-3   0.74  -0.69   0.23   0.71   1.25   2.18   5714    1.0\n",
      "He_true_std[658]   -0.04  9.9e-3   0.76  -1.53  -0.54  -0.04   0.46   1.48   5865    1.0\n",
      "He_true_std[659]    0.27    0.01   0.74  -1.23  -0.22   0.26   0.75   1.75   5377    1.0\n",
      "He_true_std[660]    1.12  9.8e-3   0.75  -0.36   0.62   1.11   1.63   2.59   5790    1.0\n",
      "He_true_std[661]    1.05 10.0e-3   0.73  -0.39   0.55   1.04   1.55   2.48   5339    1.0\n",
      "He_true_std[662]    0.71  9.6e-3   0.77  -0.81   0.22   0.71   1.22   2.24   6291    1.0\n",
      "He_true_std[663]    0.95  9.8e-3   0.74  -0.54   0.45   0.96   1.43   2.37   5646    1.0\n",
      "He_true_std[664]    -0.1    0.01   0.74  -1.52   -0.6   -0.1   0.42   1.31   5360    1.0\n",
      "He_true_std[665]   -0.08    0.01   0.73   -1.5  -0.57  -0.08   0.42   1.32   5091    1.0\n",
      "He_true_std[666]   -0.11    0.01   0.77  -1.61  -0.62  -0.09   0.41   1.42   5182    1.0\n",
      "He_true_std[667]   -0.13    0.01   0.78   -1.6  -0.68  -0.14   0.41   1.37   5315    1.0\n",
      "He_true_std[668]    0.19  9.9e-3   0.73  -1.22  -0.32   0.17   0.67   1.66   5457    1.0\n",
      "He_true_std[669]    0.22  9.1e-3   0.74  -1.23  -0.28   0.21    0.7   1.69   6548    1.0\n",
      "He_true_std[670]    0.04  9.9e-3   0.74  -1.42  -0.46   0.04   0.55   1.47   5586    1.0\n",
      "He_true_std[671]    0.11  9.4e-3   0.78  -1.41  -0.42   0.11   0.65    1.6   6866    1.0\n",
      "He_true_std[672]    -0.2  9.5e-3   0.74  -1.67  -0.69  -0.19   0.29   1.23   6014    1.0\n",
      "He_true_std[673]    1.19    0.01   0.73  -0.21    0.7   1.19   1.68   2.63   4861    1.0\n",
      "He_true_std[674]   -1.24  9.5e-3   0.74  -2.69  -1.75  -1.24  -0.73   0.22   6097    1.0\n",
      "He_true_std[675]   -0.89    0.01   0.73  -2.29  -1.38  -0.91  -0.41   0.56   5131    1.0\n",
      "He_true_std[676]    -0.6  9.4e-3   0.72  -2.01  -1.08   -0.6  -0.12   0.83   5951    1.0\n",
      "He_true_std[677]    0.11    0.01   0.74  -1.36  -0.39   0.11   0.61   1.56   5140    1.0\n",
      "He_true_std[678]    1.11 10.0e-3   0.75  -0.35   0.59   1.12   1.63   2.59   5736    1.0\n",
      "He_true_std[679]   -0.38    0.01   0.71  -1.77  -0.85  -0.39   0.11   0.99   4545    1.0\n",
      "He_true_std[680]   -0.54  9.6e-3   0.75  -2.06  -1.01  -0.55  -0.02   0.89   6078    1.0\n",
      "He_true_std[681]    0.25    0.01   0.74   -1.2  -0.23   0.25   0.73   1.76   4448    1.0\n",
      "He_true_std[682]   -0.86    0.01   0.75  -2.32  -1.37  -0.85  -0.35   0.63   5313    1.0\n",
      "He_true_std[683]   -1.13    0.01   0.73  -2.58  -1.61  -1.12  -0.64   0.33   5117    1.0\n",
      "He_true_std[684]   -0.19  9.5e-3   0.72  -1.59  -0.67  -0.19   0.31   1.23   5646    1.0\n",
      "He_true_std[685]    0.01  9.5e-3   0.72  -1.38  -0.48 5.7e-3    0.5    1.4   5673    1.0\n",
      "He_true_std[686]    -0.1    0.01   0.74  -1.57  -0.59   -0.1   0.39   1.34   5296    1.0\n",
      "He_true_std[687]   -1.16 10.0e-3   0.72  -2.57  -1.65  -1.15  -0.67   0.29   5236    1.0\n",
      "He_true_std[688]   -0.86    0.01   0.73  -2.26  -1.36  -0.86  -0.38    0.6   5264    1.0\n",
      "He_true_std[689]     0.2    0.01   0.76  -1.29  -0.31    0.2   0.72   1.69   5660    1.0\n",
      "He_true_std[690]   -0.73    0.01   0.73  -2.22  -1.21  -0.73  -0.24   0.72   5162    1.0\n",
      "He_true_std[691]   -0.97    0.01   0.75  -2.43  -1.48  -0.98  -0.45   0.48   5479    1.0\n",
      "He_true_std[692]     0.1  9.8e-3   0.73  -1.32  -0.39    0.1   0.59   1.53   5633    1.0\n",
      "He_true_std[693]    0.04    0.01   0.74  -1.36  -0.47   0.05   0.56   1.48   5107    1.0\n",
      "He_true_std[694]   -1.03  9.8e-3   0.74   -2.5  -1.54  -1.04   -0.5   0.38   5805    1.0\n",
      "He_true_std[695]   -0.03  9.5e-3   0.73  -1.42  -0.55  -0.03   0.47    1.4   5935    1.0\n",
      "He_true_std[696]    1.41    0.01   0.75  -0.03   0.92   1.39   1.88   2.91   5070    1.0\n",
      "He_true_std[697]     0.9    0.01   0.74  -0.54    0.4   0.89    1.4   2.36   5381    1.0\n",
      "He_true_std[698]   -1.11  9.7e-3   0.74  -2.55  -1.61  -1.12  -0.62   0.31   5754    1.0\n",
      "He_true_std[699]   -0.23  9.1e-3   0.76  -1.73  -0.74  -0.23    0.3   1.22   7030    1.0\n",
      "He_true_std[700]    0.06  9.6e-3   0.74  -1.35  -0.43   0.05   0.58   1.48   6001    1.0\n",
      "He_true_std[701]    0.59    0.01   0.73  -0.84   0.09   0.58   1.11   1.97   5174    1.0\n",
      "He_true_std[702]    0.03 10.0e-3   0.74  -1.45  -0.45 7.3e-3   0.52   1.49   5451    1.0\n",
      "He_true_std[703]   -0.06  9.8e-3   0.75  -1.54  -0.57  -0.07   0.43   1.43   5831    1.0\n",
      "He_true_std[704]    0.46    0.01   0.74  -0.94  -0.03   0.44   0.95    2.0   4689    1.0\n",
      "He_true_std[705]    0.49    0.01   0.77   -1.0  -0.04    0.5   1.02   1.96   4884    1.0\n",
      "He_true_std[706]    0.38 10.0e-3   0.74  -1.04  -0.13    0.4    0.9   1.86   5554    1.0\n",
      "He_true_std[707]    0.28  9.2e-3   0.73  -1.12   -0.2   0.29   0.79    1.7   6257    1.0\n",
      "He_true_std[708]    0.45  9.7e-3   0.71  -0.95  -0.03   0.44   0.92   1.83   5398    1.0\n",
      "He_true_std[709]   -0.31  9.9e-3   0.73  -1.76  -0.78  -0.33   0.18   1.21   5523    1.0\n",
      "He_true_std[710]   -0.43    0.01   0.78  -1.91  -0.96  -0.44   0.09   1.12   5017    1.0\n",
      "He_true_std[711]    0.43    0.01   0.73  -0.98  -0.06   0.43   0.95   1.86   4704    1.0\n",
      "He_true_std[712]    0.67  9.4e-3   0.73  -0.79   0.17   0.66   1.17   2.12   6155    1.0\n",
      "He_true_std[713]     0.3    0.01   0.76  -1.19  -0.22   0.29   0.82   1.79   5685    1.0\n",
      "He_true_std[714]    0.77  9.9e-3   0.77  -0.77   0.26   0.78   1.27   2.28   6027    1.0\n",
      "He_true_std[715]   -0.05 10.0e-3   0.71  -1.48  -0.54  -0.06   0.43   1.35   5084    1.0\n",
      "He_true_std[716]    0.59    0.01   0.74  -0.89   0.09   0.58   1.09   2.03   4790    1.0\n",
      "He_true_std[717]    1.74 10.0e-3   0.73   0.29   1.24   1.74   2.23   3.16   5320    1.0\n",
      "He_true_std[718]   -1.01  9.7e-3   0.72  -2.44  -1.51  -1.01  -0.52   0.41   5525    1.0\n",
      "He_true_std[719]    0.27  9.8e-3   0.74  -1.17  -0.24   0.27   0.76   1.75   5642    1.0\n",
      "He_true_std[720]     0.1    0.01   0.72  -1.34  -0.37    0.1   0.58   1.54   5230    1.0\n",
      "He_true_std[721]   -1.07  9.8e-3   0.74  -2.53  -1.56  -1.05  -0.58   0.34   5609    1.0\n",
      "He_true_std[722]   -0.35  9.6e-3   0.73  -1.78  -0.84  -0.35   0.15   1.09   5789    1.0\n",
      "He_true_std[723]    0.57    0.01   0.75   -0.9   0.07   0.57   1.08   2.05   5372    1.0\n",
      "He_true_std[724]   -0.38  9.3e-3   0.76  -1.84  -0.89  -0.38   0.15    1.1   6702    1.0\n",
      "He_true_std[725]    0.68  9.6e-3   0.74  -0.76   0.16   0.67   1.18   2.13   5844    1.0\n",
      "He_true_std[726]    0.21  9.5e-3   0.74  -1.27   -0.3   0.21   0.74   1.66   6090    1.0\n",
      "He_true_std[727]    0.43    0.01   0.73  -1.04  -0.06   0.43   0.92   1.87   5281    1.0\n",
      "He_true_std[728]   -0.38    0.01   0.74  -1.78   -0.9  -0.38   0.14   1.08   5181    1.0\n",
      "He_true_std[729]    0.59  9.7e-3   0.73  -0.81   0.09   0.58   1.09   2.08   5648    1.0\n",
      "He_true_std[730]   -0.32    0.01   0.75  -1.84  -0.83  -0.31   0.19   1.14   5401    1.0\n",
      "He_true_std[731]    -0.7    0.01   0.73  -2.15  -1.18   -0.7  -0.21   0.74   5050    1.0\n",
      "He_true_std[732]    0.66  9.7e-3   0.74  -0.79   0.16   0.65   1.15   2.12   5743    1.0\n",
      "He_true_std[733]   -0.06  9.2e-3   0.75  -1.53  -0.58  -0.05   0.47   1.41   6784    1.0\n",
      "He_true_std[734]    0.69    0.01   0.74  -0.79   0.19   0.69   1.19   2.15   5306    1.0\n",
      "He_true_std[735]    0.37  9.5e-3   0.73   -1.1  -0.11   0.37   0.83   1.81   5950    1.0\n",
      "He_true_std[736]   -1.33  9.3e-3   0.73  -2.75  -1.83  -1.32  -0.85   0.13   6128    1.0\n",
      "He_true_std[737]   -0.62    0.01   0.74  -2.07  -1.12  -0.61  -0.12   0.81   5231    1.0\n",
      "He_true_std[738]    0.24  9.7e-3   0.72  -1.16  -0.25   0.24   0.72   1.65   5420    1.0\n",
      "He_true_std[739]   -0.92    0.01   0.76   -2.4  -1.45  -0.95   -0.4   0.58   5462    1.0\n",
      "He_true_std[740]    -0.3  9.9e-3   0.72  -1.72  -0.77   -0.3   0.19   1.11   5369    1.0\n",
      "He_true_std[741]   -0.04  9.7e-3   0.75  -1.52  -0.55  -0.04   0.46   1.44   6031    1.0\n",
      "He_true_std[742]   -1.09    0.01   0.76  -2.58   -1.6  -1.11  -0.57   0.35   5571    1.0\n",
      "He_true_std[743]    1.09  9.9e-3   0.75  -0.36   0.59   1.09   1.58   2.54   5658    1.0\n",
      "He_true_std[744]   -0.52    0.01   0.74  -1.95  -0.99  -0.51  -0.03   0.93   5341    1.0\n",
      "He_true_std[745]    1.18    0.01   0.74  -0.24   0.68   1.17   1.66   2.65   5165    1.0\n",
      "He_true_std[746]     0.4  9.9e-3   0.75  -1.06  -0.11   0.41   0.88   1.87   5726    1.0\n",
      "He_true_std[747]    0.85    0.01   0.75   -0.6   0.34   0.85   1.36   2.38   5168    1.0\n",
      "He_true_std[748]   -0.71  9.2e-3   0.73  -2.11  -1.22  -0.69   -0.2   0.71   6339    1.0\n",
      "He_true_std[749]   -0.55  9.4e-3   0.74  -2.03  -1.04  -0.55  -0.07   0.96   6256    1.0\n",
      "He_true_std[750]     0.5    0.01   0.73  -0.94 1.6e-3    0.5    1.0   1.91   5284    1.0\n",
      "He_true_std[751]    1.12    0.01   0.77  -0.41    0.6   1.12   1.63   2.63   5835    1.0\n",
      "He_true_std[752]     0.5    0.01   0.74  -0.98 5.3e-3    0.5   0.99   1.99   5433    1.0\n",
      "He_true_std[753]   -0.04  9.6e-3   0.74  -1.47  -0.54  -0.04   0.45    1.4   5980    1.0\n",
      "He_true_std[754]    0.93    0.01   0.74  -0.49   0.43   0.93   1.42    2.4   5278    1.0\n",
      "He_true_std[755]    0.91  9.9e-3   0.73  -0.53    0.4    0.9    1.4   2.34   5527    1.0\n",
      "He_true_std[756]   -0.82    0.01   0.74  -2.23  -1.32  -0.83  -0.34   0.66   4528    1.0\n",
      "He_true_std[757]    1.29    0.01   0.73  -0.14    0.8   1.29   1.78   2.74   5013    1.0\n",
      "He_true_std[758]    0.52  9.9e-3   0.73  -0.91   0.04   0.52    1.0   1.98   5439    1.0\n",
      "He_true_std[759]   -0.06  9.4e-3   0.74  -1.49  -0.56  -0.09   0.44   1.43   6063    1.0\n",
      "He_true_std[760]     0.1  9.4e-3   0.73  -1.31  -0.41   0.11   0.59   1.52   6044    1.0\n",
      "He_true_std[761]    0.19    0.01   0.73  -1.25  -0.29   0.19   0.66    1.6   4427    1.0\n",
      "He_true_std[762]   -1.33    0.01   0.74  -2.78  -1.83  -1.32  -0.84   0.11   4926    1.0\n",
      "He_true_std[763]   -0.44    0.01   0.75  -1.95  -0.94  -0.44   0.06   1.06   5531    1.0\n",
      "He_true_std[764]   -0.64    0.01   0.76  -2.15  -1.16  -0.64  -0.12   0.89   5396    1.0\n",
      "He_true_std[765]   -0.14    0.01   0.78  -1.61  -0.67  -0.13   0.39   1.36   5065    1.0\n",
      "He_true_std[766]    0.85  9.8e-3   0.74  -0.57   0.35   0.85   1.35   2.31   5713    1.0\n",
      "He_true_std[767]    0.04  9.3e-3   0.75  -1.39  -0.45   0.03   0.53   1.54   6467    1.0\n",
      "He_true_std[768]    0.87    0.01   0.76  -0.65   0.35   0.86   1.39   2.37   5032    1.0\n",
      "He_true_std[769]    0.38    0.01   0.74  -1.07  -0.12   0.38   0.85   1.87   4788    1.0\n",
      "He_true_std[770]   -0.17    0.01   0.74  -1.59  -0.66  -0.16   0.33   1.29   5213    1.0\n",
      "He_true_std[771]    0.75  9.6e-3   0.74  -0.67   0.25   0.76   1.25   2.18   5962    1.0\n",
      "He_true_std[772]   -0.76  9.2e-3   0.74  -2.25  -1.25  -0.76  -0.24   0.69   6447    1.0\n",
      "He_true_std[773]   -1.32  9.7e-3   0.74  -2.76  -1.81  -1.33  -0.83   0.14   5890    1.0\n",
      "He_true_std[774]    1.06  9.8e-3   0.75  -0.45   0.57   1.07   1.56   2.55   5971    1.0\n",
      "He_true_std[775]     0.9  9.7e-3   0.71  -0.49   0.43    0.9   1.39   2.31   5372    1.0\n",
      "He_true_std[776] -4.2e-3  9.8e-3   0.75  -1.49  -0.51-8.7e-3   0.49   1.49   5772    1.0\n",
      "He_true_std[777]    0.53  9.1e-3   0.73   -0.9   0.05   0.52   1.03   1.92   6478    1.0\n",
      "He_true_std[778]   -0.35  9.1e-3   0.76   -1.8  -0.87  -0.35   0.16   1.14   6947    1.0\n",
      "He_true_std[779]   -0.94    0.01   0.76  -2.42  -1.46  -0.94  -0.43   0.55   5165    1.0\n",
      "He_true_std[780]   -0.21  9.9e-3   0.74  -1.65   -0.7  -0.21   0.29   1.21   5486    1.0\n",
      "He_true_std[781]   -0.03 10.0e-3   0.76  -1.56  -0.51  -0.04   0.47   1.47   5760    1.0\n",
      "He_true_std[782]   -0.47  9.6e-3   0.74  -1.92  -0.96  -0.47   0.03   0.99   6016    1.0\n",
      "He_true_std[783]   -0.56    0.01   0.75   -2.0  -1.07  -0.56  -0.04   0.94   5620    1.0\n",
      "He_true_std[784]    -0.5    0.01   0.76  -1.99  -1.02  -0.5110.0e-3   1.03   5702    1.0\n",
      "He_true_std[785]    1.97  9.7e-3   0.73   0.56   1.48   1.96   2.48   3.38   5682    1.0\n",
      "He_true_std[786]   -1.06  9.7e-3   0.75  -2.56  -1.56  -1.07  -0.55   0.39   5853    1.0\n",
      "He_true_std[787]    0.61    0.01   0.74  -0.87    0.1   0.62   1.13   1.99   5360    1.0\n",
      "He_true_std[788]   -1.01    0.01   0.74  -2.49  -1.52  -1.02  -0.49   0.47   5521    1.0\n",
      "He_true_std[789]    0.92  9.4e-3   0.74  -0.56   0.42   0.94   1.41   2.38   6192    1.0\n",
      "He_true_std[790]   -0.11  9.5e-3   0.75  -1.53  -0.61  -0.12   0.39   1.38   6269    1.0\n",
      "He_true_std[791]   -0.54  9.8e-3   0.75  -1.99  -1.06  -0.55  -0.03   0.97   5802    1.0\n",
      "He_true_std[792]    -0.1  9.6e-3   0.74  -1.56  -0.58  -0.11   0.39   1.36   5959    1.0\n",
      "He_true_std[793]   -0.66    0.01   0.73  -2.09  -1.14  -0.66  -0.17   0.79   4445    1.0\n",
      "He_true_std[794]    -0.4    0.01   0.75  -1.84  -0.91  -0.41   0.11   1.05   5301    1.0\n",
      "He_true_std[795]    0.72  9.6e-3   0.76  -0.76   0.19   0.71   1.24   2.19   6246    1.0\n",
      "He_true_std[796]   -0.32    0.01   0.75  -1.81   -0.8  -0.32   0.16   1.18   5470    1.0\n",
      "He_true_std[797]   -1.42  9.4e-3   0.74  -2.83  -1.93  -1.42  -0.92   0.04   6107    1.0\n",
      "He_true_std[798]   -0.67    0.01   0.79  -2.24  -1.21  -0.67  -0.14   0.89   5867    1.0\n",
      "He_true_std[799]   -0.31    0.01   0.75  -1.76  -0.82  -0.32   0.18    1.2   4616    1.0\n",
      "He_true_std[800]   -0.65  9.7e-3   0.73  -2.07  -1.15  -0.65  -0.17   0.83   5752    1.0\n",
      "He_true_std[801]    0.07  9.3e-3   0.72  -1.32  -0.43   0.07   0.56   1.46   6118    1.0\n",
      "He_true_std[802]  9.6e-3  8.7e-3   0.73   -1.4  -0.49   0.01   0.51   1.42   7042    1.0\n",
      "He_true_std[803]   -0.19  9.8e-3   0.74  -1.68  -0.68  -0.18    0.3   1.26   5649    1.0\n",
      "He_true_std[804]    -1.3 10.0e-3   0.73  -2.73   -1.8  -1.31  -0.81   0.12   5399    1.0\n",
      "He_true_std[805]   -1.99  9.8e-3   0.73  -3.44  -2.48  -1.99   -1.5  -0.52   5561    1.0\n",
      "He_true_std[806]    0.22  9.8e-3   0.74  -1.19  -0.28   0.22   0.72    1.7   5702    1.0\n",
      "He_true_std[807]    0.69  9.5e-3   0.76  -0.76   0.16   0.67   1.22   2.16   6368    1.0\n",
      "He_true_std[808]  8.6e-3  9.5e-3   0.76  -1.47  -0.49 8.0e-4   0.53   1.49   6399    1.0\n",
      "He_true_std[809]   -1.08  9.5e-3   0.73  -2.53  -1.56  -1.08  -0.59   0.34   5920    1.0\n",
      "He_true_std[810]    0.38 10.0e-3   0.76  -1.11  -0.13   0.37   0.87   1.87   5833    1.0\n",
      "He_true_std[811]   -0.66  9.7e-3   0.74   -2.1  -1.16  -0.66  -0.15   0.77   5755    1.0\n",
      "He_true_std[812]    -0.1  9.8e-3   0.75  -1.55  -0.61   -0.1   0.41   1.35   5747    1.0\n",
      "He_true_std[813]    0.89  9.9e-3   0.76  -0.58   0.36   0.88    1.4   2.41   5940    1.0\n",
      "He_true_std[814]    -0.1  9.0e-3   0.72  -1.51  -0.58  -0.11   0.39    1.3   6327    1.0\n",
      "He_true_std[815]    0.25  9.8e-3   0.74  -1.21  -0.23   0.24   0.75   1.69   5671    1.0\n",
      "He_true_std[816]   -0.72  9.8e-3   0.75  -2.19  -1.23  -0.71  -0.21   0.78   5890    1.0\n",
      "He_true_std[817]    0.24    0.01   0.75  -1.18  -0.28   0.23   0.75   1.71   4758    1.0\n",
      "He_true_std[818]   -0.39    0.01   0.74  -1.85  -0.87  -0.41   0.11    1.1   5482    1.0\n",
      "He_true_std[819]    0.05    0.01   0.73  -1.38  -0.45   0.04   0.55    1.5   5268    1.0\n",
      "He_true_std[820]    -1.0  9.6e-3   0.74  -2.46  -1.49  -1.02   -0.5   0.43   5997    1.0\n",
      "He_true_std[821]    -1.1  9.6e-3   0.74  -2.52  -1.61   -1.1  -0.61   0.37   5883    1.0\n",
      "He_true_std[822]   -0.34    0.01   0.73  -1.73  -0.83  -0.35   0.14   1.12   5179    1.0\n",
      "He_true_std[823]    0.58    0.01   0.77  -0.91   0.05   0.59    1.1   2.11   5839    1.0\n",
      "He_true_std[824]    0.48  9.8e-3   0.73  -0.96  -0.01   0.48   0.97    1.9   5487    1.0\n",
      "He_true_std[825]    1.27  9.9e-3   0.74  -0.22   0.76   1.28   1.77   2.68   5626    1.0\n",
      "He_true_std[826]   -0.29  9.4e-3   0.74  -1.77  -0.78  -0.29   0.22   1.18   6239    1.0\n",
      "He_true_std[827]    0.66    0.01   0.73   -0.8   0.17   0.66   1.16   2.11   4651    1.0\n",
      "He_true_std[828]   -1.04    0.01   0.77  -2.56  -1.57  -1.05  -0.52   0.45   5060    1.0\n",
      "He_true_std[829]    0.52  9.7e-3   0.75  -0.96   0.02   0.53   1.03   1.96   5947    1.0\n",
      "He_true_std[830]   -0.28  9.5e-3   0.74  -1.72  -0.78  -0.27   0.22   1.19   6071    1.0\n",
      "He_true_std[831]    0.66  9.9e-3   0.73  -0.76   0.16   0.65   1.15   2.12   5438    1.0\n",
      "He_true_std[832]    0.94 10.0e-3   0.73   -0.5   0.45   0.94   1.44   2.39   5395    1.0\n",
      "He_true_std[833]    0.25    0.01   0.76   -1.2  -0.27   0.24   0.78   1.69   5431    1.0\n",
      "He_true_std[834]    1.38  9.6e-3   0.75   -0.1   0.88   1.38   1.89   2.84   6070    1.0\n",
      "He_true_std[835]    1.35    0.01   0.74  -0.07   0.83   1.34   1.84   2.84   5340    1.0\n",
      "He_true_std[836]    0.05  9.7e-3   0.74  -1.41  -0.44   0.05   0.53   1.47   5718    1.0\n",
      "He_true_std[837]    0.79  9.6e-3   0.73  -0.62   0.29   0.79    1.3   2.23   5796    1.0\n",
      "He_true_std[838]    0.97  9.6e-3   0.73  -0.48   0.48   0.97   1.46    2.4   5832    1.0\n",
      "He_true_std[839]    0.93  9.6e-3   0.74   -0.6   0.44   0.92   1.41   2.37   5907    1.0\n",
      "He_true_std[840]    0.04 10.0e-3   0.74  -1.43  -0.45   0.05   0.53   1.49   5504    1.0\n",
      "He_true_std[841]    0.31  9.9e-3   0.72  -1.09  -0.17   0.31   0.79   1.77   5258    1.0\n",
      "He_true_std[842]   -0.42  9.9e-3   0.74  -1.87  -0.92  -0.41   0.08   1.02   5501    1.0\n",
      "He_true_std[843]   -0.59  9.9e-3   0.74  -2.04   -1.1  -0.59  -0.08   0.85   5646    1.0\n",
      "He_true_std[844]    0.23  9.6e-3   0.75  -1.29  -0.26   0.22   0.72    1.7   6113    1.0\n",
      "He_true_std[845]    0.39  9.2e-3   0.75  -1.04  -0.13   0.39   0.92   1.87   6654    1.0\n",
      "He_true_std[846]   -0.04    0.01   0.76  -1.52  -0.54  -0.04   0.47   1.45   4969    1.0\n",
      "He_true_std[847]   -0.13    0.01   0.74  -1.55  -0.65  -0.13   0.39   1.29   4971    1.0\n",
      "He_true_std[848]    0.58  8.8e-3   0.75   -0.9   0.06   0.59   1.08   2.04   7324    1.0\n",
      "He_true_std[849]   -1.38    0.01   0.73  -2.79  -1.87  -1.38  -0.89   0.05   5117    1.0\n",
      "He_true_std[850]    0.11    0.01   0.76  -1.39   -0.4   0.11   0.62    1.6   5164    1.0\n",
      "He_true_std[851]    1.03    0.01   0.75  -0.43   0.54   1.02   1.52   2.52   5059    1.0\n",
      "He_true_std[852]   -0.12  9.2e-3   0.74  -1.55  -0.62  -0.12   0.37   1.32   6460    1.0\n",
      "He_true_std[853]     0.1  9.7e-3   0.73  -1.33  -0.41    0.1   0.61   1.53   5562    1.0\n",
      "He_true_std[854]    0.54    0.01   0.75  -0.92   0.05   0.54   1.03   2.02   4819    1.0\n",
      "He_true_std[855]   -0.59  9.7e-3   0.75  -2.08  -1.08  -0.59  -0.09    0.9   5951    1.0\n",
      "He_true_std[856]    0.45  9.7e-3   0.77  -1.05  -0.05   0.45   0.95   1.99   6330    1.0\n",
      "He_true_std[857]   -1.05    0.01   0.73  -2.51  -1.54  -1.07  -0.57   0.38   4943    1.0\n",
      "He_true_std[858]   -0.25  9.7e-3   0.73  -1.65  -0.74  -0.23   0.23   1.18   5572    1.0\n",
      "He_true_std[859]    -0.3  9.7e-3   0.72  -1.73  -0.78  -0.32   0.19   1.13   5535    1.0\n",
      "He_true_std[860]    0.65    0.01   0.75  -0.79   0.12   0.66   1.18   2.13   5370    1.0\n",
      "He_true_std[861]    0.59  9.7e-3   0.75  -0.85   0.09    0.6   1.12   2.04   5956    1.0\n",
      "He_true_std[862]    -0.5  9.2e-3   0.73  -1.93  -0.99   -0.5 4.0e-3   0.93   6242    1.0\n",
      "He_true_std[863]    1.07  9.8e-3   0.77  -0.43   0.55   1.06   1.59   2.62   6141    1.0\n",
      "He_true_std[864]    0.06    0.01   0.74  -1.42  -0.44   0.06   0.55   1.49   4557    1.0\n",
      "He_true_std[865]   -0.09  9.8e-3   0.74  -1.56   -0.6  -0.09   0.41   1.39   5759    1.0\n",
      "He_true_std[866]    0.14  8.8e-3   0.73  -1.28  -0.35   0.14   0.64   1.53   6964    1.0\n",
      "He_true_std[867]    0.45    0.01   0.75  -1.04  -0.04   0.45   0.95   1.96   5329    1.0\n",
      "He_true_std[868]   -0.63    0.01   0.73  -2.05  -1.12  -0.63  -0.12   0.76   4746    1.0\n",
      "He_true_std[869]   -0.91  9.5e-3   0.75   -2.4   -1.4   -0.9  -0.41   0.53   6163    1.0\n",
      "He_true_std[870]   -0.91    0.01   0.74  -2.37  -1.42  -0.91  -0.42   0.56   5229    1.0\n",
      "He_true_std[871]    -0.7  9.8e-3   0.76   -2.2  -1.21  -0.68   -0.2   0.77   5976    1.0\n",
      "He_true_std[872]    1.06  9.5e-3   0.75  -0.39   0.55   1.06   1.56   2.51   6163    1.0\n",
      "He_true_std[873]   -0.47 10.0e-3   0.77  -1.96   -1.0  -0.46   0.06    1.1   5950    1.0\n",
      "He_true_std[874]   -0.18    0.01   0.74  -1.61  -0.68  -0.19   0.33   1.28   5111    1.0\n",
      "He_true_std[875]    0.73  9.5e-3   0.75  -0.67   0.23   0.73   1.24   2.23   6156    1.0\n",
      "He_true_std[876]   -0.13    0.01   0.74  -1.58  -0.63  -0.14   0.38   1.35   5378    1.0\n",
      "He_true_std[877]   -0.12    0.01   0.74  -1.54  -0.63  -0.12   0.39   1.31   5337    1.0\n",
      "He_true_std[878]     0.1  9.9e-3   0.76  -1.38  -0.42    0.1   0.61   1.58   5918    1.0\n",
      "He_true_std[879]   -0.21  9.8e-3   0.74  -1.69   -0.7   -0.2   0.28   1.25   5646    1.0\n",
      "He_true_std[880]    0.07 10.0e-3   0.74  -1.39  -0.42   0.07   0.54   1.56   5451    1.0\n",
      "He_true_std[881]   -0.29  9.4e-3   0.74  -1.74  -0.78  -0.29   0.19   1.18   6178    1.0\n",
      "He_true_std[882]   -0.21  9.6e-3   0.75  -1.67  -0.73  -0.22    0.3   1.27   6154    1.0\n",
      "He_true_std[883]    -0.3    0.01   0.77  -1.84  -0.82   -0.3   0.22   1.23   5726    1.0\n",
      "He_true_std[884]     1.0 10.0e-3   0.74  -0.45   0.51   1.02   1.52   2.42   5480    1.0\n",
      "He_true_std[885]    0.38  9.6e-3   0.74  -1.09   -0.1   0.37   0.87   1.87   5885    1.0\n",
      "He_true_std[886]    0.41  9.5e-3   0.75   -1.0   -0.1   0.41   0.93   1.86   6162    1.0\n",
      "He_true_std[887]    1.05    0.01   0.75  -0.41   0.53   1.06   1.55    2.5   5030    1.0\n",
      "He_true_std[888]   -0.22    0.01   0.76  -1.78  -0.71  -0.19   0.26   1.27   5446    1.0\n",
      "He_true_std[889]    1.12  9.5e-3   0.73  -0.32   0.62   1.12   1.61   2.58   5914    1.0\n",
      "He_true_std[890]    1.57  8.9e-3   0.74   0.14   1.06   1.57   2.09   3.02   7011    1.0\n",
      "He_true_std[891]    0.93  9.6e-3   0.74  -0.47   0.43   0.93   1.43   2.41   5894    1.0\n",
      "He_true_std[892]    0.47    0.01   0.77  -1.06  -0.05   0.48    1.0    2.0   5746    1.0\n",
      "He_true_std[893]   -0.05    0.01   0.76  -1.49  -0.55  -0.05   0.45   1.47   5357    1.0\n",
      "He_true_std[894]   -0.09    0.01   0.73  -1.53  -0.58  -0.08   0.41   1.32   5333    1.0\n",
      "He_true_std[895]   -0.68  9.8e-3   0.75  -2.15  -1.17  -0.68  -0.18   0.83   5859    1.0\n",
      "He_true_std[896]   -0.07    0.01   0.74  -1.53  -0.57  -0.08   0.43   1.37   4932    1.0\n",
      "He_true_std[897]    0.57    0.01   0.75   -0.9   0.07   0.57   1.08   2.06   5383    1.0\n",
      "He_true_std[898]    0.32  9.9e-3   0.73  -1.12  -0.15   0.31    0.8   1.73   5362    1.0\n",
      "He_true_std[899]    0.23  9.8e-3   0.75  -1.29  -0.27   0.24   0.72   1.69   5762    1.0\n",
      "He_true_std[900]    0.06 10.0e-3   0.75   -1.4  -0.46   0.06   0.58   1.51   5582    1.0\n",
      "He_true_std[901]   -0.06    0.01   0.73   -1.5  -0.54  -0.05   0.42   1.41   5083    1.0\n",
      "He_true_std[902]   -0.12    0.01   0.76  -1.59  -0.63  -0.12   0.41   1.36   5305    1.0\n",
      "He_true_std[903]    0.57  9.4e-3   0.72  -0.89   0.08   0.58   1.06   1.99   5935    1.0\n",
      "He_true_std[904]   -0.57  9.6e-3   0.74  -2.03  -1.07  -0.56  -0.07   0.87   5924    1.0\n",
      "He_true_std[905]    0.19  9.9e-3   0.75  -1.27  -0.31    0.2   0.68   1.64   5744    1.0\n",
      "He_true_std[906]   -0.69  9.8e-3   0.75  -2.16  -1.21  -0.69  -0.18   0.77   5885    1.0\n",
      "He_true_std[907]     1.2  9.3e-3   0.76  -0.28   0.69    1.2   1.71   2.73   6556    1.0\n",
      "He_true_std[908]    0.31    0.01   0.75  -1.13  -0.18   0.31   0.81   1.79   5174    1.0\n",
      "He_true_std[909]    0.74    0.01   0.75  -0.73   0.25   0.73   1.23   2.27   5288    1.0\n",
      "He_true_std[910]  8.4e-3  9.9e-3   0.74  -1.42   -0.5-1.4e-3   0.51   1.48   5635    1.0\n",
      "He_true_std[911]   -0.26  8.8e-3   0.72  -1.65  -0.75  -0.26   0.23   1.17   6739    1.0\n",
      "He_true_std[912]    0.89  9.5e-3   0.72  -0.49    0.4   0.89   1.37   2.31   5819    1.0\n",
      "He_true_std[913]   -0.29  9.2e-3   0.73  -1.72  -0.78  -0.28    0.2   1.12   6160    1.0\n",
      "He_true_std[914]    -0.3  9.5e-3   0.75  -1.76  -0.81  -0.31    0.2   1.18   6203    1.0\n",
      "He_true_std[915]   -0.11  9.9e-3   0.73  -1.53   -0.6  -0.09   0.37   1.31   5438    1.0\n",
      "He_true_std[916]    -0.4    0.01   0.73   -1.8  -0.91   -0.4   0.09    1.0   4746    1.0\n",
      "He_true_std[917]    0.69    0.01   0.75  -0.76   0.18   0.69   1.21   2.13   5165    1.0\n",
      "He_true_std[918]    0.43  9.6e-3   0.75  -1.05  -0.06   0.43   0.94   1.88   5984    1.0\n",
      "He_true_std[919]    0.27  9.5e-3   0.73  -1.15  -0.22   0.28   0.78   1.66   5829    1.0\n",
      "He_true_std[920]    0.49  9.2e-3   0.74   -1.0  -0.01   0.48   0.98   1.97   6502    1.0\n",
      "He_true_std[921]    0.47  9.4e-3   0.73  -0.95  -0.02   0.47   0.98    1.9   6056    1.0\n",
      "He_true_std[922]    2.35  9.3e-3   0.76   0.86   1.85   2.34   2.87   3.85   6580    1.0\n",
      "He_true_std[923]   -0.34  9.6e-3   0.74  -1.82  -0.86  -0.34   0.15   1.14   5976    1.0\n",
      "He_true_std[924]   -0.04    0.01   0.73  -1.44  -0.53  -0.04   0.44   1.45   5216    1.0\n",
      "He_true_std[925]   -0.48    0.01   0.75  -1.92  -0.98  -0.48   0.01    1.0   5502    1.0\n",
      "He_true_std[926]    0.29    0.01   0.76  -1.16  -0.21   0.29   0.79   1.78   5699    1.0\n",
      "He_true_std[927]    2.08    0.01   0.74   0.63   1.59   2.09   2.56   3.51   4895    1.0\n",
      "He_true_std[928]    -0.3 10.0e-3   0.74  -1.75  -0.79  -0.29    0.2   1.11   5457    1.0\n",
      "He_true_std[929]    0.38  9.3e-3   0.74  -1.08  -0.13    0.4    0.9   1.79   6237    1.0\n",
      "He_true_std[930]    1.27  9.6e-3   0.72  -0.12   0.78   1.27   1.74   2.68   5591    1.0\n",
      "He_true_std[931]   -0.88  9.9e-3   0.74  -2.37  -1.35  -0.88   -0.4   0.58   5607    1.0\n",
      "He_true_std[932]    0.16    0.01   0.74  -1.29  -0.34   0.16   0.67   1.63   4867    1.0\n",
      "He_true_std[933]   -0.36  9.8e-3   0.76  -1.87  -0.86  -0.35   0.15   1.16   5976    1.0\n",
      "He_true_std[934]    0.19  9.9e-3   0.73  -1.26  -0.32   0.19   0.68   1.64   5567    1.0\n",
      "He_true_std[935]   -0.75  9.1e-3   0.74   -2.2  -1.24  -0.76  -0.26   0.72   6618    1.0\n",
      "He_true_std[936]    0.22  9.7e-3   0.73  -1.18  -0.28   0.22   0.71   1.65   5544    1.0\n",
      "He_true_std[937]    -0.7  8.9e-3   0.72  -2.14  -1.18   -0.7  -0.23   0.73   6618    1.0\n",
      "He_true_std[938]    0.53  9.6e-3   0.78  -0.98 6.3e-3   0.53   1.07   1.99   6518    1.0\n",
      "He_true_std[939]    0.04  9.9e-3   0.75  -1.44  -0.45   0.04   0.55   1.52   5760    1.0\n",
      "He_true_std[940]   -0.68  9.2e-3   0.73  -2.08  -1.18  -0.67  -0.19   0.76   6259    1.0\n",
      "He_true_std[941]    0.23    0.01   0.74  -1.22  -0.27   0.24   0.71    1.7   4461    1.0\n",
      "He_true_std[942]    0.18 10.0e-3   0.76  -1.35  -0.32   0.18    0.7   1.65   5770    1.0\n",
      "He_true_std[943]    1.51    0.01   0.76-8.7e-3   0.99    1.5   2.02   2.98   4772    1.0\n",
      "He_true_std[944]    0.54  9.5e-3   0.75  -0.97   0.03   0.53   1.05   2.01   6238    1.0\n",
      "He_true_std[945]    1.16    0.01   0.74  -0.28   0.67   1.16   1.66   2.61   5141    1.0\n",
      "He_true_std[946]    0.75  9.8e-3   0.74  -0.69   0.26   0.76   1.26   2.19   5753    1.0\n",
      "He_true_std[947]   -0.86    0.01   0.73  -2.31  -1.36  -0.86  -0.37    0.6   5142    1.0\n",
      "He_true_std[948]    0.54  9.6e-3   0.74  -0.94   0.07   0.55   1.03   2.01   5918    1.0\n",
      "He_true_std[949]     0.9  9.2e-3   0.73  -0.47   0.41    0.9   1.39   2.31   6148    1.0\n",
      "He_true_std[950]   -0.64    0.01   0.73  -2.09  -1.14  -0.62  -0.16   0.78   5016    1.0\n",
      "He_true_std[951]    0.92  9.9e-3   0.75  -0.51   0.42   0.91   1.44   2.39   5746    1.0\n",
      "He_true_std[952]   -1.94  9.8e-3   0.76  -3.43  -2.44  -1.95  -1.44  -0.46   5957    1.0\n",
      "He_true_std[953]   -0.98  9.8e-3   0.73  -2.42  -1.47  -0.97  -0.48    0.4   5514    1.0\n",
      "He_true_std[954]    0.56  9.6e-3   0.71  -0.86    0.1   0.56   1.01   1.98   5400    1.0\n",
      "He_true_std[955]    0.03    0.01   0.75  -1.45  -0.47   0.02   0.53   1.47   5326    1.0\n",
      "He_true_std[956]    0.94    0.01   0.74  -0.52   0.44   0.94   1.44   2.38   4866    1.0\n",
      "He_true_std[957]     0.4  9.6e-3   0.75  -1.06   -0.1   0.41    0.9    1.9   6018    1.0\n",
      "He_true_std[958]   -0.02  9.9e-3   0.73  -1.45  -0.51-9.1e-3   0.47    1.4   5449    1.0\n",
      "He_true_std[959]   -0.45  9.9e-3   0.73  -1.87  -0.95  -0.45   0.04   0.97   5451    1.0\n",
      "He_true_std[960]    1.15  9.4e-3   0.74  -0.27   0.63   1.16   1.65   2.57   6183    1.0\n",
      "He_true_std[961]   -0.45  9.6e-3   0.73  -1.91  -0.94  -0.44   0.05   0.96   5784    1.0\n",
      "He_true_std[962]    0.25  9.6e-3   0.73  -1.19  -0.25   0.24   0.74   1.68   5765    1.0\n",
      "He_true_std[963]    0.07  9.2e-3   0.73  -1.31  -0.44   0.06   0.57    1.5   6278    1.0\n",
      "He_true_std[964]    1.22  9.3e-3   0.74  -0.22   0.71   1.23   1.74   2.62   6340    1.0\n",
      "He_true_std[965]    0.23  9.7e-3   0.74  -1.22  -0.27   0.23   0.71   1.71   5752    1.0\n",
      "He_true_std[966]   -0.11  9.8e-3   0.74  -1.53  -0.61   -0.1    0.4   1.33   5715    1.0\n",
      "He_true_std[967] -7.4e-3  9.8e-3   0.77  -1.51  -0.54  -0.02   0.51   1.51   6147    1.0\n",
      "He_true_std[968]   -1.11  9.4e-3   0.75  -2.58  -1.61  -1.11  -0.61   0.36   6356    1.0\n",
      "He_true_std[969]   -0.17  9.2e-3   0.75  -1.63  -0.66  -0.16   0.34   1.37   6674    1.0\n",
      "He_true_std[970]   -1.22  9.8e-3   0.72  -2.63   -1.7  -1.22  -0.76   0.21   5390    1.0\n",
      "He_true_std[971]    0.54  9.9e-3   0.73  -0.89   0.06   0.55   1.03   1.99   5535    1.0\n",
      "He_true_std[972]    0.02    0.01   0.75  -1.43  -0.47 8.4e-3   0.51   1.48   5488    1.0\n",
      "He_true_std[973]   -0.87    0.01   0.76  -2.37  -1.38  -0.86  -0.38   0.63   5318    1.0\n",
      "He_true_std[974]    0.35  9.9e-3   0.74  -1.08  -0.15   0.36   0.86   1.79   5561    1.0\n",
      "He_true_std[975]    1.09  9.5e-3   0.75  -0.34   0.57   1.09   1.61   2.55   6247    1.0\n",
      "He_true_std[976]    0.48  9.5e-3   0.73  -0.97  -0.03   0.48   0.98    1.9   6029    1.0\n",
      "He_true_std[977]    0.13  9.9e-3   0.73  -1.33  -0.38   0.14   0.64   1.55   5481    1.0\n",
      "He_true_std[978]   -0.45    0.01   0.75  -1.92  -0.95  -0.44   0.04   1.04   5626    1.0\n",
      "He_true_std[979]   -0.25    0.01   0.74  -1.75  -0.72  -0.25   0.23   1.25   4788    1.0\n",
      "He_true_std[980]    0.93  9.8e-3   0.74  -0.52   0.43   0.92   1.42    2.4   5590    1.0\n",
      "He_true_std[981]   -1.17    0.01   0.76  -2.63  -1.67  -1.17  -0.67   0.31   5678    1.0\n",
      "He_true_std[982]   -0.31    0.01   0.75  -1.81  -0.79  -0.31   0.18   1.15   4904    1.0\n",
      "He_true_std[983]     0.3    0.01   0.76  -1.17  -0.23   0.29   0.83   1.76   5724    1.0\n",
      "He_true_std[984]   -0.68    0.01   0.75  -2.17  -1.19  -0.69  -0.18   0.82   4788    1.0\n",
      "He_true_std[985]   -0.52  9.8e-3   0.74  -1.96  -1.03  -0.53  -0.03   0.98   5756    1.0\n",
      "He_true_std[986]   -2.31    0.01   0.75  -3.77  -2.81  -2.31   -1.8  -0.85   5452    1.0\n",
      "He_true_std[987]   -0.51  9.8e-3   0.75  -1.98   -1.0  -0.52  -0.02   1.01   5926    1.0\n",
      "He_true_std[988]    1.18    0.01   0.75  -0.29   0.66   1.17    1.7   2.61   5274    1.0\n",
      "He_true_std[989]    0.75  9.2e-3   0.74  -0.69   0.25   0.75   1.24   2.19   6340    1.0\n",
      "He_true_std[990]    0.62    0.01   0.76  -0.81    0.1   0.61   1.13   2.11   5759    1.0\n",
      "He_true_std[991]    0.97  9.9e-3   0.74  -0.45   0.48   0.97   1.47   2.41   5480    1.0\n",
      "He_true_std[992]    0.41    0.01   0.72  -0.99  -0.07   0.42   0.89   1.79   5096    1.0\n",
      "He_true_std[993]    0.97 10.0e-3   0.74  -0.51   0.49    1.0   1.48   2.37   5465    1.0\n",
      "He_true_std[994]    0.31    0.01   0.72   -1.1  -0.17    0.3   0.78   1.73   5157    1.0\n",
      "He_true_std[995]    0.35    0.01   0.72  -1.03  -0.15   0.34   0.84   1.75   4666    1.0\n",
      "He_true_std[996]    0.58    0.01   0.74  -0.83   0.07   0.59   1.09   1.95   4940    1.0\n",
      "He_true_std[997]    0.75    0.01   0.75   -0.7   0.24   0.74   1.24   2.23   5241    1.0\n",
      "He_true_std[998]   -1.31    0.01   0.76  -2.86  -1.82  -1.32  -0.81    0.2   5264    1.0\n",
      "He_true_std[999]   -0.93    0.01   0.77   -2.4  -1.45  -0.94  -0.41   0.59   5073    1.0\n",
      "He_true_std[1000]  -0.15    0.01   0.73  -1.58  -0.66  -0.14   0.36   1.32   5164    1.0\n",
      "He_true[1]          0.27  5.5e-4   0.04   0.19   0.24   0.27    0.3   0.35   5325    1.0\n",
      "He_true[2]          0.24  5.7e-4   0.04   0.16   0.21   0.24   0.27   0.32   5196    1.0\n",
      "He_true[3]          0.32  5.4e-4   0.04   0.24   0.29   0.32   0.34    0.4   5354    1.0\n",
      "He_true[4]          0.27  5.6e-4   0.04   0.19   0.24   0.27    0.3   0.35   5421    1.0\n",
      "He_true[5]          0.19  5.4e-4   0.04   0.11   0.17   0.19   0.22   0.28   5889    1.0\n",
      "He_true[6]          0.22  5.7e-4   0.04   0.13   0.19   0.22   0.24    0.3   5308    1.0\n",
      "He_true[7]           0.3  5.2e-4   0.04   0.23   0.28    0.3   0.33   0.38   5897    1.0\n",
      "He_true[8]          0.33  5.6e-4   0.04   0.25   0.31   0.33   0.36   0.41   5253    1.0\n",
      "He_true[9]          0.28  5.2e-4   0.04    0.2   0.26   0.28   0.31   0.36   6053    1.0\n",
      "He_true[10]         0.31  5.8e-4   0.04   0.23   0.28   0.31   0.34   0.39   5065    1.0\n",
      "He_true[11]         0.36  5.4e-4   0.04   0.28   0.33   0.36   0.38   0.44   5863    1.0\n",
      "He_true[12]         0.26  5.4e-4   0.04   0.17   0.23   0.26   0.28   0.34   5759    1.0\n",
      "He_true[13]         0.24  5.4e-4   0.04   0.17   0.22   0.24   0.27   0.32   5667    1.0\n",
      "He_true[14]         0.25  5.3e-4   0.04   0.17   0.22   0.25   0.27   0.33   5734    1.0\n",
      "He_true[15]         0.22  5.3e-4   0.04   0.14    0.2   0.22   0.25    0.3   5657    1.0\n",
      "He_true[16]         0.28  5.4e-4   0.04    0.2   0.25   0.28    0.3   0.36   5674    1.0\n",
      "He_true[17]         0.28  5.8e-4   0.04    0.2   0.25   0.28   0.31   0.36   5071    1.0\n",
      "He_true[18]          0.3  5.2e-4   0.04   0.22   0.27    0.3   0.32   0.38   6051    1.0\n",
      "He_true[19]          0.3  5.6e-4   0.04   0.22   0.27    0.3   0.32   0.38   5365    1.0\n",
      "He_true[20]         0.31  5.5e-4   0.04   0.23   0.28   0.31   0.34   0.39   5489    1.0\n",
      "He_true[21]         0.26  5.5e-4   0.04   0.18   0.23   0.26   0.28   0.33   5415    1.0\n",
      "He_true[22]         0.28  4.8e-4   0.04    0.2   0.25   0.28   0.31   0.36   6923    1.0\n",
      "He_true[23]         0.23  5.4e-4   0.04   0.15    0.2   0.23   0.26   0.31   5825    1.0\n",
      "He_true[24]          0.3  5.5e-4   0.04   0.22   0.27    0.3   0.33   0.38   5350    1.0\n",
      "He_true[25]         0.27  5.4e-4   0.04    0.2   0.25   0.27    0.3   0.35   5421    1.0\n",
      "He_true[26]         0.26  5.2e-4   0.04   0.18   0.23   0.26   0.28   0.33   5961    1.0\n",
      "He_true[27]          0.3  5.7e-4   0.04   0.22   0.28    0.3   0.33   0.38   5201    1.0\n",
      "He_true[28]         0.29  5.7e-4   0.04   0.21   0.26   0.29   0.31   0.37   5035    1.0\n",
      "He_true[29]         0.32  5.5e-4   0.04   0.24   0.29   0.32   0.35    0.4   5787    1.0\n",
      "He_true[30]          0.2  6.4e-4   0.04   0.12   0.17    0.2   0.23   0.28   4208    1.0\n",
      "He_true[31]         0.27  5.2e-4   0.04   0.19   0.24   0.27   0.29   0.34   5616    1.0\n",
      "He_true[32]         0.21  5.5e-4   0.04   0.13   0.18   0.21   0.23   0.28   5340    1.0\n",
      "He_true[33]         0.25  5.3e-4   0.04   0.17   0.22   0.25   0.27   0.33   5517    1.0\n",
      "He_true[34]         0.26  5.9e-4   0.04   0.18   0.23   0.26   0.29   0.35   4905    1.0\n",
      "He_true[35]          0.3  5.9e-4   0.04   0.22   0.27    0.3   0.33   0.38   4870    1.0\n",
      "He_true[36]         0.27  5.5e-4   0.04    0.2   0.25   0.27    0.3   0.35   5223    1.0\n",
      "He_true[37]         0.22  5.3e-4   0.04   0.14   0.19   0.22   0.25    0.3   5768    1.0\n",
      "He_true[38]         0.27  5.1e-4   0.04    0.2   0.24   0.27    0.3   0.35   6085    1.0\n",
      "He_true[39]         0.32  5.6e-4   0.04   0.24   0.29   0.32   0.35    0.4   5231    1.0\n",
      "He_true[40]         0.26  5.2e-4   0.04   0.18   0.23   0.26   0.29   0.34   5800    1.0\n",
      "He_true[41]         0.34  5.3e-4   0.04   0.26   0.31   0.34   0.37   0.42   5448    1.0\n",
      "He_true[42]         0.29  5.3e-4   0.04   0.21   0.26   0.29   0.32   0.37   5657    1.0\n",
      "He_true[43]         0.27  5.8e-4   0.04   0.19   0.24   0.27    0.3   0.35   4827    1.0\n",
      "He_true[44]         0.26  5.6e-4   0.04   0.18   0.24   0.26   0.29   0.34   5513    1.0\n",
      "He_true[45]         0.25  5.6e-4   0.04   0.17   0.22   0.25   0.28   0.33   5140    1.0\n",
      "He_true[46]         0.21  5.8e-4   0.04   0.13   0.18   0.21   0.24   0.29   5127    1.0\n",
      "He_true[47]         0.27  5.8e-4   0.04   0.19   0.24   0.27   0.29   0.35   4818    1.0\n",
      "He_true[48]          0.3  5.5e-4   0.04   0.22   0.27    0.3   0.33   0.38   5379    1.0\n",
      "He_true[49]         0.23  5.5e-4   0.04   0.15   0.21   0.23   0.26   0.31   5427    1.0\n",
      "He_true[50]          0.3  5.4e-4   0.04   0.22   0.28    0.3   0.33   0.38   5551    1.0\n",
      "He_true[51]          0.2  5.6e-4   0.04   0.12   0.17    0.2   0.22   0.28   5474    1.0\n",
      "He_true[52]         0.31  5.9e-4   0.04   0.23   0.28   0.31   0.34   0.39   4757    1.0\n",
      "He_true[53]         0.32  5.6e-4   0.04   0.24   0.29   0.32   0.34    0.4   5108    1.0\n",
      "He_true[54]         0.22  5.1e-4   0.04   0.14   0.19   0.22   0.24    0.3   5839    1.0\n",
      "He_true[55]         0.28  5.5e-4   0.04    0.2   0.25   0.27    0.3   0.35   5287    1.0\n",
      "He_true[56]         0.24  5.1e-4   0.04   0.16   0.21   0.24   0.27   0.32   6645    1.0\n",
      "He_true[57]         0.25  5.4e-4   0.04   0.17   0.22   0.25   0.28   0.33   5895    1.0\n",
      "He_true[58]         0.26  5.5e-4   0.04   0.19   0.24   0.26   0.29   0.34   5343    1.0\n",
      "He_true[59]         0.29  5.8e-4   0.04   0.21   0.26   0.29   0.32   0.37   5093    1.0\n",
      "He_true[60]          0.3  5.8e-4   0.04   0.22   0.27    0.3   0.32   0.37   4616    1.0\n",
      "He_true[61]         0.25  5.3e-4   0.04   0.17   0.22   0.25   0.27   0.32   5877    1.0\n",
      "He_true[62]         0.24  5.8e-4   0.04   0.16   0.21   0.24   0.27   0.32   4944    1.0\n",
      "He_true[63]         0.23  5.2e-4   0.04   0.15   0.21   0.23   0.26   0.31   6309    1.0\n",
      "He_true[64]         0.24  5.6e-4   0.04   0.16   0.21   0.24   0.27   0.32   5448    1.0\n",
      "He_true[65]         0.24  5.9e-4   0.04   0.16   0.22   0.24   0.27   0.32   4835    1.0\n",
      "He_true[66]         0.28  4.9e-4   0.04    0.2   0.25   0.28    0.3   0.35   6341    1.0\n",
      "He_true[67]          0.3  5.9e-4   0.04   0.22   0.27    0.3   0.32   0.37   4477    1.0\n",
      "He_true[68]         0.19  5.4e-4   0.04   0.11   0.17   0.19   0.22   0.27   5912    1.0\n",
      "He_true[69]         0.25  5.2e-4   0.04   0.17   0.22   0.25   0.27   0.33   5906    1.0\n",
      "He_true[70]         0.26  5.4e-4   0.04   0.18   0.23   0.26   0.28   0.34   5646    1.0\n",
      "He_true[71]         0.33  5.5e-4   0.04   0.25    0.3   0.33   0.36   0.41   5283    1.0\n",
      "He_true[72]         0.24  5.7e-4   0.04   0.16   0.21   0.24   0.27   0.32   4853    1.0\n",
      "He_true[73]         0.22  5.6e-4   0.04   0.14   0.19   0.22   0.25    0.3   5041    1.0\n",
      "He_true[74]         0.26  5.5e-4   0.04   0.18   0.24   0.26   0.29   0.34   5436    1.0\n",
      "He_true[75]         0.23  5.3e-4   0.04   0.15   0.21   0.23   0.26   0.31   6163    1.0\n",
      "He_true[76]         0.29  5.3e-4   0.04   0.22   0.27   0.29   0.32   0.37   5718    1.0\n",
      "He_true[77]         0.29  5.9e-4   0.04   0.21   0.26   0.29   0.32   0.36   4423    1.0\n",
      "He_true[78]         0.27  5.5e-4   0.04   0.19   0.24   0.27    0.3   0.35   5410    1.0\n",
      "He_true[79]         0.28  5.2e-4   0.04    0.2   0.25   0.28    0.3   0.36   5713    1.0\n",
      "He_true[80]         0.17  5.6e-4   0.04   0.09   0.15   0.17    0.2   0.26   5494    1.0\n",
      "He_true[81]         0.28  5.5e-4   0.04    0.2   0.25   0.28   0.31   0.36   5275    1.0\n",
      "He_true[82]         0.22  5.2e-4   0.04   0.14   0.19   0.22   0.24   0.29   5663    1.0\n",
      "He_true[83]          0.2  5.0e-4   0.04   0.12   0.18    0.2   0.23   0.28   6614    1.0\n",
      "He_true[84]         0.24  5.3e-4   0.04   0.16   0.22   0.24   0.27   0.33   6120    1.0\n",
      "He_true[85]         0.22  5.1e-4   0.04   0.14    0.2   0.22   0.25    0.3   6019    1.0\n",
      "He_true[86]         0.32  5.2e-4   0.04   0.24    0.3   0.32   0.35    0.4   5763    1.0\n",
      "He_true[87]         0.27  5.4e-4   0.04   0.19   0.24   0.27   0.29   0.35   5508    1.0\n",
      "He_true[88]         0.27  5.2e-4   0.04   0.19   0.24   0.27    0.3   0.35   5875    1.0\n",
      "He_true[89]         0.29  5.4e-4   0.04   0.22   0.27   0.29   0.32   0.37   5127    1.0\n",
      "He_true[90]         0.22  5.3e-4   0.04   0.14    0.2   0.22   0.25    0.3   5642    1.0\n",
      "He_true[91]         0.24  5.5e-4   0.04   0.16   0.21   0.24   0.27   0.32   5278    1.0\n",
      "He_true[92]         0.27  5.4e-4   0.04    0.2   0.25   0.27    0.3   0.35   5318    1.0\n",
      "He_true[93]         0.23  5.7e-4   0.04   0.15    0.2   0.23   0.26   0.31   5238    1.0\n",
      "He_true[94]         0.35  5.8e-4   0.04   0.27   0.32   0.35   0.38   0.43   5088    1.0\n",
      "He_true[95]         0.32  5.5e-4   0.04   0.24    0.3   0.32   0.35    0.4   5450    1.0\n",
      "He_true[96]         0.23  5.4e-4   0.04   0.15   0.21   0.23   0.26   0.31   5528    1.0\n",
      "He_true[97]         0.21  5.8e-4   0.04   0.14   0.19   0.21   0.24    0.3   5072    1.0\n",
      "He_true[98]         0.28  5.8e-4   0.04    0.2   0.25   0.28   0.31   0.36   4790    1.0\n",
      "He_true[99]         0.27  5.5e-4   0.04    0.2   0.25   0.27    0.3   0.35   5053    1.0\n",
      "He_true[100]        0.27  5.4e-4   0.04   0.19   0.25   0.27    0.3   0.35   5330    1.0\n",
      "He_true[101]        0.26  5.3e-4   0.04   0.18   0.23   0.26   0.29   0.34   5805    1.0\n",
      "He_true[102]        0.23  5.6e-4   0.04   0.15    0.2   0.23   0.25    0.3   4979    1.0\n",
      "He_true[103]        0.24  5.7e-4   0.04   0.16   0.21   0.24   0.27   0.32   5118    1.0\n",
      "He_true[104]        0.24  5.9e-4   0.04   0.15   0.21   0.24   0.26   0.32   4789    1.0\n",
      "He_true[105]        0.28  5.3e-4   0.04   0.21   0.26   0.28   0.31   0.36   5578    1.0\n",
      "He_true[106]        0.29  5.4e-4   0.04   0.21   0.26   0.29   0.32   0.37   5730    1.0\n",
      "He_true[107]        0.28  5.7e-4   0.04   0.21   0.26   0.28   0.31   0.36   5009    1.0\n",
      "He_true[108]        0.28  5.5e-4   0.04    0.2   0.25   0.28   0.31   0.36   5524    1.0\n",
      "He_true[109]        0.32  5.9e-4   0.04   0.24   0.29   0.32   0.35    0.4   4729    1.0\n",
      "He_true[110]         0.3  5.2e-4   0.04   0.22   0.28    0.3   0.33   0.38   6112    1.0\n",
      "He_true[111]        0.23  5.5e-4   0.04   0.15    0.2   0.23   0.26   0.31   5759    1.0\n",
      "He_true[112]         0.3  5.3e-4   0.04   0.22   0.27    0.3   0.32   0.38   6025    1.0\n",
      "He_true[113]        0.26  5.7e-4   0.04   0.18   0.23   0.26   0.29   0.34   5120    1.0\n",
      "He_true[114]        0.22  5.3e-4   0.04   0.14    0.2   0.22   0.25    0.3   5905    1.0\n",
      "He_true[115]        0.22  5.4e-4   0.04   0.13   0.19   0.22   0.24    0.3   5785    1.0\n",
      "He_true[116]         0.2  5.5e-4   0.04   0.11   0.17    0.2   0.22   0.27   5438    1.0\n",
      "He_true[117]        0.26  5.7e-4   0.04   0.18   0.23   0.26   0.29   0.34   4954    1.0\n",
      "He_true[118]        0.29  5.6e-4   0.04   0.21   0.26   0.29   0.32   0.37   5151    1.0\n",
      "He_true[119]        0.26  5.2e-4   0.04   0.17   0.23   0.26   0.28   0.34   6013    1.0\n",
      "He_true[120]        0.24  5.4e-4   0.04   0.16   0.22   0.24   0.27   0.32   5628    1.0\n",
      "He_true[121]        0.21  5.9e-4   0.04   0.12   0.18   0.21   0.24   0.29   5117    1.0\n",
      "He_true[122]        0.21  5.0e-4   0.04   0.13   0.18   0.21   0.23   0.29   6347    1.0\n",
      "He_true[123]        0.28  5.5e-4   0.04   0.21   0.26   0.28   0.31   0.36   5530    1.0\n",
      "He_true[124]        0.22  5.5e-4   0.04   0.14   0.19   0.22   0.24   0.29   5175    1.0\n",
      "He_true[125]        0.17  5.4e-4   0.04    0.1   0.15   0.17    0.2   0.25   5525    1.0\n",
      "He_true[126]        0.25  5.2e-4   0.04   0.18   0.23   0.25   0.28   0.33   5892    1.0\n",
      "He_true[127]        0.23  5.3e-4   0.04   0.15   0.21   0.23   0.26   0.31   6191    1.0\n",
      "He_true[128]        0.23  5.2e-4   0.04   0.15    0.2   0.23   0.26   0.31   5640    1.0\n",
      "He_true[129]        0.24  5.6e-4   0.04   0.16   0.21   0.23   0.26   0.32   5378    1.0\n",
      "He_true[130]        0.27  5.5e-4   0.04   0.19   0.25   0.27    0.3   0.35   5070    1.0\n",
      "He_true[131]        0.21  5.4e-4   0.04   0.13   0.19   0.21   0.24   0.29   5606    1.0\n",
      "He_true[132]        0.24  5.0e-4   0.04   0.16   0.21   0.24   0.26   0.31   6290    1.0\n",
      "He_true[133]        0.27  6.1e-4   0.04   0.19   0.24   0.27    0.3   0.35   4435    1.0\n",
      "He_true[134]        0.27  5.6e-4   0.04   0.19   0.24   0.27   0.29   0.35   5353    1.0\n",
      "He_true[135]        0.28  5.9e-4   0.04    0.2   0.25   0.28   0.31   0.36   4835    1.0\n",
      "He_true[136]         0.3  5.7e-4   0.04   0.22   0.27    0.3   0.33   0.38   5144    1.0\n",
      "He_true[137]         0.3  5.3e-4   0.04   0.22   0.27    0.3   0.33   0.38   5727    1.0\n",
      "He_true[138]        0.24  5.3e-4   0.04   0.16   0.21   0.24   0.26   0.32   5784    1.0\n",
      "He_true[139]        0.28  5.4e-4   0.04    0.2   0.25   0.28   0.31   0.36   5681    1.0\n",
      "He_true[140]        0.29  5.3e-4   0.04   0.21   0.26   0.29   0.32   0.36   5711    1.0\n",
      "He_true[141]        0.28  5.2e-4   0.04    0.2   0.25   0.28   0.31   0.36   5814    1.0\n",
      "He_true[142]        0.28  5.5e-4   0.04    0.2   0.26   0.28   0.31   0.36   5181    1.0\n",
      "He_true[143]        0.28  5.7e-4   0.04    0.2   0.25   0.28   0.31   0.36   5097    1.0\n",
      "He_true[144]        0.26  5.4e-4   0.04   0.18   0.23   0.26   0.29   0.34   5681    1.0\n",
      "He_true[145]        0.22  5.5e-4   0.04   0.14   0.19   0.22   0.25    0.3   5664    1.0\n",
      "He_true[146]        0.24  5.2e-4   0.04   0.16   0.21   0.24   0.27   0.32   6170    1.0\n",
      "He_true[147]        0.25  5.7e-4   0.04   0.17   0.23   0.25   0.28   0.33   4849    1.0\n",
      "He_true[148]        0.25  5.1e-4   0.04   0.17   0.23   0.25   0.28   0.33   6125    1.0\n",
      "He_true[149]        0.25  5.4e-4   0.04   0.17   0.22   0.25   0.28   0.33   5707    1.0\n",
      "He_true[150]         0.3  5.1e-4   0.04   0.22   0.27    0.3   0.33   0.38   6147    1.0\n",
      "He_true[151]        0.21  5.5e-4   0.04   0.13   0.18   0.21   0.23   0.28   5119    1.0\n",
      "He_true[152]        0.24  5.3e-4   0.04   0.17   0.22   0.24   0.27   0.32   5467    1.0\n",
      "He_true[153]        0.23  5.4e-4   0.04   0.15    0.2   0.23   0.26   0.31   5662    1.0\n",
      "He_true[154]        0.28  5.5e-4   0.04    0.2   0.25   0.28    0.3   0.35   5108    1.0\n",
      "He_true[155]        0.27  5.4e-4   0.04   0.19   0.24   0.27   0.29   0.34   5434    1.0\n",
      "He_true[156]        0.33  5.3e-4   0.04   0.25    0.3   0.33   0.36   0.41   5861    1.0\n",
      "He_true[157]        0.26  5.5e-4   0.04   0.18   0.23   0.26   0.29   0.34   5206    1.0\n",
      "He_true[158]        0.28  5.3e-4   0.04    0.2   0.25   0.28   0.31   0.36   5932    1.0\n",
      "He_true[159]        0.28  5.1e-4   0.04   0.19   0.25   0.28    0.3   0.35   6338    1.0\n",
      "He_true[160]        0.31  5.1e-4   0.04   0.23   0.28   0.31   0.33   0.39   6042    1.0\n",
      "He_true[161]        0.29  5.2e-4   0.04    0.2   0.26   0.29   0.31   0.36   6010    1.0\n",
      "He_true[162]        0.31  5.3e-4   0.04   0.23   0.28   0.31   0.33   0.38   5343    1.0\n",
      "He_true[163]        0.24  5.9e-4   0.04   0.16   0.21   0.24   0.27   0.32   4862    1.0\n",
      "He_true[164]        0.29  5.3e-4   0.04   0.21   0.26   0.29   0.31   0.36   5630    1.0\n",
      "He_true[165]        0.27  5.2e-4   0.04   0.19   0.24   0.27   0.29   0.34   5654    1.0\n",
      "He_true[166]        0.26  5.4e-4   0.04   0.18   0.23   0.26   0.28   0.34   5612    1.0\n",
      "He_true[167]        0.19  6.0e-4   0.04   0.11   0.16   0.19   0.22   0.27   4829    1.0\n",
      "He_true[168]        0.26  6.1e-4   0.04   0.18   0.23   0.26   0.29   0.33   4435    1.0\n",
      "He_true[169]        0.33  5.3e-4   0.04   0.24    0.3   0.33   0.35    0.4   5882    1.0\n",
      "He_true[170]        0.26  5.1e-4   0.04   0.18   0.24   0.26   0.29   0.34   5883    1.0\n",
      "He_true[171]        0.24  5.5e-4   0.04   0.17   0.22   0.24   0.27   0.32   5234    1.0\n",
      "He_true[172]        0.21  5.8e-4   0.04   0.13   0.19   0.21   0.24   0.29   4773    1.0\n",
      "He_true[173]        0.25  5.3e-4   0.04   0.17   0.22   0.25   0.28   0.33   5725    1.0\n",
      "He_true[174]        0.25  6.0e-4   0.04   0.17   0.22   0.25   0.27   0.33   4606    1.0\n",
      "He_true[175]        0.21  5.2e-4   0.04   0.13   0.18   0.21   0.24   0.29   6081    1.0\n",
      "He_true[176]        0.28  5.6e-4   0.04    0.2   0.25   0.28    0.3   0.35   5168    1.0\n",
      "He_true[177]         0.3  5.7e-4   0.04   0.22   0.27    0.3   0.33   0.38   5055    1.0\n",
      "He_true[178]        0.28  5.5e-4   0.04    0.2   0.25   0.28    0.3   0.35   5092    1.0\n",
      "He_true[179]        0.31  5.3e-4   0.04   0.23   0.28   0.31   0.33   0.38   5415    1.0\n",
      "He_true[180]        0.31  5.2e-4   0.04   0.23   0.28   0.31   0.34   0.39   5840    1.0\n",
      "He_true[181]        0.32  5.3e-4   0.04   0.24   0.29   0.32   0.34   0.39   5563    1.0\n",
      "He_true[182]        0.26  5.5e-4   0.04   0.18   0.24   0.26   0.29   0.34   5651    1.0\n",
      "He_true[183]        0.25  5.0e-4   0.04   0.17   0.22   0.25   0.27   0.33   6662    1.0\n",
      "He_true[184]        0.26  5.2e-4   0.04   0.18   0.23   0.26   0.29   0.34   6060    1.0\n",
      "He_true[185]        0.23  5.9e-4   0.04   0.15    0.2   0.23   0.26   0.31   4808    1.0\n",
      "He_true[186]        0.25  5.6e-4   0.04   0.17   0.22   0.25   0.27   0.32   5323    1.0\n",
      "He_true[187]        0.24  5.2e-4   0.04   0.16   0.21   0.24   0.26   0.31   5744    1.0\n",
      "He_true[188]        0.35  5.2e-4   0.04   0.27   0.32   0.35   0.37   0.42   5743    1.0\n",
      "He_true[189]        0.28  5.2e-4   0.04    0.2   0.25   0.28   0.31   0.36   5902    1.0\n",
      "He_true[190]        0.26  5.1e-4   0.04   0.18   0.23   0.26   0.28   0.33   6273    1.0\n",
      "He_true[191]        0.27  4.6e-4   0.04   0.19   0.24   0.27    0.3   0.35   7761    1.0\n",
      "He_true[192]        0.31  5.1e-4   0.04   0.23   0.28   0.31   0.34   0.39   6134    1.0\n",
      "He_true[193]        0.24  6.4e-4   0.04   0.16   0.21   0.24   0.27   0.32   4125    1.0\n",
      "He_true[194]        0.21  5.5e-4   0.04   0.13   0.18   0.21   0.23   0.29   5513    1.0\n",
      "He_true[195]        0.22  5.2e-4   0.04   0.15    0.2   0.22   0.25    0.3   5839    1.0\n",
      "He_true[196]        0.23  5.3e-4   0.04   0.15    0.2   0.23   0.25   0.31   5636    1.0\n",
      "He_true[197]        0.26  5.2e-4   0.04   0.18   0.23   0.26   0.28   0.34   5980    1.0\n",
      "He_true[198]        0.27  5.9e-4   0.04   0.19   0.24   0.27    0.3   0.35   4568    1.0\n",
      "He_true[199]        0.25  5.1e-4   0.04   0.18   0.23   0.25   0.28   0.33   6092    1.0\n",
      "He_true[200]        0.31  5.2e-4   0.04   0.23   0.28   0.31   0.34   0.39   5726    1.0\n",
      "He_true[201]        0.31  5.6e-4   0.04   0.24   0.29   0.31   0.34   0.39   4861    1.0\n",
      "He_true[202]        0.32  5.3e-4   0.04   0.24   0.29   0.32   0.35   0.41   6178    1.0\n",
      "He_true[203]        0.27  5.7e-4   0.04   0.19   0.24   0.27    0.3   0.35   5103    1.0\n",
      "He_true[204]        0.23  5.6e-4   0.04   0.15    0.2   0.22   0.25    0.3   5199    1.0\n",
      "He_true[205]        0.25  5.7e-4   0.04   0.16   0.22   0.25   0.27   0.33   5209    1.0\n",
      "He_true[206]        0.26  5.7e-4   0.04   0.18   0.23   0.26   0.28   0.33   4804    1.0\n",
      "He_true[207]        0.25  5.5e-4   0.04   0.17   0.23   0.25   0.28   0.33   5597    1.0\n",
      "He_true[208]         0.3  5.2e-4   0.04   0.22   0.27    0.3   0.33   0.38   6230    1.0\n",
      "He_true[209]        0.23  5.0e-4   0.04   0.15   0.21   0.23   0.26   0.32   6747    1.0\n",
      "He_true[210]         0.3  5.5e-4   0.04   0.22   0.27    0.3   0.33   0.38   5484    1.0\n",
      "He_true[211]        0.25  5.5e-4   0.04   0.18   0.23   0.25   0.28   0.33   5345    1.0\n",
      "He_true[212]        0.25  5.6e-4   0.04   0.17   0.23   0.25   0.28   0.33   4806    1.0\n",
      "He_true[213]        0.26  5.1e-4   0.04   0.18   0.23   0.26   0.29   0.34   6308    1.0\n",
      "He_true[214]        0.25  5.3e-4   0.04   0.17   0.23   0.25   0.28   0.33   5859    1.0\n",
      "He_true[215]        0.29  5.1e-4   0.04   0.21   0.26   0.29   0.32   0.37   6041    1.0\n",
      "He_true[216]        0.28  5.3e-4   0.04    0.2   0.26   0.28   0.31   0.36   5677    1.0\n",
      "He_true[217]        0.32  5.3e-4   0.04   0.24    0.3   0.32   0.35    0.4   5952    1.0\n",
      "He_true[218]        0.29  5.4e-4   0.04   0.21   0.26   0.29   0.31   0.37   5299    1.0\n",
      "He_true[219]         0.3  4.9e-4   0.04   0.22   0.27    0.3   0.33   0.38   6588    1.0\n",
      "He_true[220]         0.3  5.1e-4   0.04   0.22   0.27    0.3   0.32   0.38   6194    1.0\n",
      "He_true[221]        0.27  5.1e-4   0.04    0.2   0.25   0.27    0.3   0.35   5988    1.0\n",
      "He_true[222]         0.3  5.2e-4   0.04   0.23   0.28    0.3   0.33   0.38   5740    1.0\n",
      "He_true[223]        0.25  5.3e-4   0.04   0.17   0.23   0.25   0.28   0.33   5746    1.0\n",
      "He_true[224]        0.31  5.2e-4   0.04   0.23   0.28   0.31   0.34   0.39   6364    1.0\n",
      "He_true[225]         0.3  5.2e-4   0.04   0.22   0.27    0.3   0.33   0.38   6218    1.0\n",
      "He_true[226]         0.2  6.2e-4   0.04   0.12   0.17    0.2   0.23   0.28   4383    1.0\n",
      "He_true[227]        0.26  5.7e-4   0.04   0.19   0.24   0.27   0.29   0.34   5051    1.0\n",
      "He_true[228]        0.28  5.7e-4   0.04    0.2   0.25   0.28   0.31   0.36   4995    1.0\n",
      "He_true[229]        0.31  5.8e-4   0.04   0.24   0.28   0.31   0.34   0.39   4860    1.0\n",
      "He_true[230]        0.26  5.5e-4   0.04   0.18   0.23   0.26   0.29   0.34   5318    1.0\n",
      "He_true[231]        0.28  5.5e-4   0.04    0.2   0.25   0.28   0.31   0.36   5486    1.0\n",
      "He_true[232]        0.29  4.9e-4   0.04   0.21   0.26   0.29   0.31   0.37   6613    1.0\n",
      "He_true[233]        0.33  5.1e-4   0.04   0.25    0.3   0.33   0.36   0.41   6058    1.0\n",
      "He_true[234]        0.23  5.7e-4   0.04   0.15    0.2   0.23   0.26   0.31   4901    1.0\n",
      "He_true[235]        0.31  5.7e-4   0.04   0.23   0.28   0.31   0.33   0.39   5071    1.0\n",
      "He_true[236]        0.25  5.6e-4   0.04   0.17   0.22   0.25   0.28   0.33   5380    1.0\n",
      "He_true[237]        0.27  5.9e-4   0.04   0.19   0.24   0.27    0.3   0.35   5006    1.0\n",
      "He_true[238]        0.23  5.2e-4   0.04   0.15    0.2   0.23   0.26   0.31   5734    1.0\n",
      "He_true[239]        0.27  5.6e-4   0.04   0.19   0.25   0.27    0.3   0.35   4885    1.0\n",
      "He_true[240]        0.29  5.3e-4   0.04   0.21   0.26   0.29   0.32   0.37   6117    1.0\n",
      "He_true[241]        0.24  5.1e-4   0.04   0.16   0.21   0.24   0.27   0.32   6087    1.0\n",
      "He_true[242]        0.24  5.5e-4   0.04   0.16   0.22   0.24   0.27   0.32   5732    1.0\n",
      "He_true[243]        0.28  5.6e-4   0.04   0.21   0.26   0.28   0.31   0.36   5219    1.0\n",
      "He_true[244]        0.26  6.1e-4   0.04   0.18   0.24   0.26   0.29   0.34   4673    1.0\n",
      "He_true[245]        0.26  5.4e-4   0.04   0.18   0.23   0.26   0.29   0.34   5982    1.0\n",
      "He_true[246]        0.23  5.5e-4   0.04   0.15   0.21   0.23   0.26   0.31   5524    1.0\n",
      "He_true[247]        0.28  5.2e-4   0.04    0.2   0.26   0.28   0.31   0.36   6168    1.0\n",
      "He_true[248]        0.26  5.3e-4   0.04   0.18   0.23   0.26   0.29   0.34   5774    1.0\n",
      "He_true[249]        0.25  5.4e-4   0.04   0.17   0.22   0.25   0.28   0.33   5425    1.0\n",
      "He_true[250]        0.28  5.7e-4   0.04    0.2   0.26   0.28   0.31   0.36   4917    1.0\n",
      "He_true[251]        0.23  5.6e-4   0.04   0.15    0.2   0.23   0.26   0.31   5276    1.0\n",
      "He_true[252]        0.27  5.7e-4   0.04   0.19   0.24   0.27   0.29   0.35   4828    1.0\n",
      "He_true[253]        0.22  5.6e-4   0.04   0.14   0.19   0.22   0.25    0.3   5233    1.0\n",
      "He_true[254]        0.22  5.5e-4   0.04   0.14   0.19   0.22   0.24   0.29   5210    1.0\n",
      "He_true[255]        0.19  5.6e-4   0.04   0.12   0.17   0.19   0.22   0.27   5159    1.0\n",
      "He_true[256]        0.25  6.0e-4   0.04   0.18   0.23   0.25   0.28   0.33   4404    1.0\n",
      "He_true[257]        0.25  5.6e-4   0.04   0.17   0.22   0.25   0.27   0.32   5091    1.0\n",
      "He_true[258]        0.29  5.5e-4   0.04   0.22   0.27   0.29   0.32   0.37   5359    1.0\n",
      "He_true[259]        0.22  5.5e-4   0.04   0.15   0.19   0.22   0.25    0.3   5379    1.0\n",
      "He_true[260]        0.25  5.3e-4   0.04   0.17   0.22   0.25   0.28   0.33   5858    1.0\n",
      "He_true[261]        0.24  5.7e-4   0.04   0.16   0.22   0.24   0.27   0.32   5112    1.0\n",
      "He_true[262]        0.25  5.5e-4   0.04   0.17   0.22   0.25   0.28   0.32   5213    1.0\n",
      "He_true[263]        0.34  5.0e-4   0.04   0.26   0.31   0.34   0.37   0.42   6660    1.0\n",
      "He_true[264]        0.27  5.7e-4   0.04   0.19   0.24   0.27    0.3   0.35   5235    1.0\n",
      "He_true[265]        0.31  5.1e-4   0.04   0.23   0.28   0.31   0.33   0.39   6163    1.0\n",
      "He_true[266]        0.26  5.6e-4   0.04   0.19   0.24   0.26   0.29   0.34   4962    1.0\n",
      "He_true[267]        0.29  5.7e-4   0.04   0.21   0.26   0.29   0.32   0.37   5148    1.0\n",
      "He_true[268]        0.29  5.6e-4   0.04   0.21   0.26   0.29   0.31   0.37   4935    1.0\n",
      "He_true[269]        0.23  5.3e-4   0.04   0.15    0.2   0.23   0.26   0.31   5486    1.0\n",
      "He_true[270]        0.22  5.4e-4   0.04   0.14   0.19   0.22   0.24   0.29   5402    1.0\n",
      "He_true[271]        0.28  5.5e-4   0.04    0.2   0.25   0.28   0.31   0.36   5792    1.0\n",
      "He_true[272]        0.25  5.6e-4   0.04   0.17   0.22   0.25   0.28   0.33   5457    1.0\n",
      "He_true[273]         0.2  5.9e-4   0.04   0.12   0.17    0.2   0.23   0.28   4644    1.0\n",
      "He_true[274]        0.26  5.4e-4   0.04   0.18   0.23   0.26   0.29   0.34   5398    1.0\n",
      "He_true[275]        0.19  5.7e-4   0.04   0.11   0.16   0.19   0.22   0.27   5045    1.0\n",
      "He_true[276]         0.3  5.7e-4   0.04   0.22   0.27    0.3   0.33   0.38   5204    1.0\n",
      "He_true[277]        0.32  5.9e-4   0.04   0.25    0.3   0.32   0.35    0.4   4690    1.0\n",
      "He_true[278]        0.26  5.1e-4   0.04   0.18   0.23   0.26   0.28   0.33   6334    1.0\n",
      "He_true[279]        0.26  5.3e-4   0.04   0.18   0.23   0.26   0.28   0.34   5729    1.0\n",
      "He_true[280]        0.24  5.6e-4   0.04   0.17   0.22   0.24   0.27   0.32   5199    1.0\n",
      "He_true[281]        0.22  5.3e-4   0.04   0.14    0.2   0.22   0.25   0.31   5724    1.0\n",
      "He_true[282]        0.23  5.2e-4   0.04   0.15    0.2   0.23   0.25   0.31   6082    1.0\n",
      "He_true[283]         0.2  5.3e-4   0.04   0.12   0.17    0.2   0.23   0.28   5882    1.0\n",
      "He_true[284]        0.27  5.4e-4   0.04   0.19   0.24   0.27    0.3   0.35   5756    1.0\n",
      "He_true[285]        0.31  5.6e-4   0.04   0.23   0.28   0.31   0.33   0.39   5330    1.0\n",
      "He_true[286]        0.31  5.9e-4   0.04   0.23   0.28   0.31   0.34   0.39   4637    1.0\n",
      "He_true[287]        0.24  5.5e-4   0.04   0.16   0.21   0.24   0.26   0.32   5483    1.0\n",
      "He_true[288]        0.25  5.4e-4   0.04   0.18   0.23   0.25   0.28   0.33   5208    1.0\n",
      "He_true[289]        0.25  5.6e-4   0.04   0.18   0.23   0.25   0.28   0.33   4861    1.0\n",
      "He_true[290]        0.29  5.5e-4   0.04   0.21   0.26   0.29   0.31   0.37   5567    1.0\n",
      "He_true[291]        0.28  5.5e-4   0.04    0.2   0.25   0.28   0.31   0.36   5291    1.0\n",
      "He_true[292]        0.32  5.3e-4   0.04   0.24   0.29   0.32   0.34    0.4   5847    1.0\n",
      "He_true[293]        0.26  5.0e-4   0.04   0.18   0.23   0.26   0.28   0.33   6355    1.0\n",
      "He_true[294]        0.29  5.5e-4   0.04   0.22   0.27   0.29   0.32   0.37   5386    1.0\n",
      "He_true[295]        0.28  4.9e-4   0.04    0.2   0.25   0.28    0.3   0.36   6409    1.0\n",
      "He_true[296]        0.25  5.9e-4   0.04   0.17   0.22   0.25   0.27   0.33   4457    1.0\n",
      "He_true[297]        0.29  5.4e-4   0.04   0.21   0.27   0.29   0.32   0.37   5379    1.0\n",
      "He_true[298]        0.31  5.4e-4   0.04   0.24   0.28   0.31   0.34   0.39   5366    1.0\n",
      "He_true[299]        0.29  5.6e-4   0.04   0.21   0.27   0.29   0.32   0.37   5156    1.0\n",
      "He_true[300]        0.28  5.0e-4   0.04    0.2   0.25   0.28    0.3   0.35   6175    1.0\n",
      "He_true[301]        0.24  5.4e-4   0.04   0.16   0.21   0.24   0.27   0.32   5793    1.0\n",
      "He_true[302]        0.23  5.6e-4   0.04   0.15    0.2   0.23   0.25   0.31   5189    1.0\n",
      "He_true[303]        0.25  5.1e-4   0.04   0.17   0.22   0.25   0.27   0.32   6129    1.0\n",
      "He_true[304]        0.28  5.8e-4   0.04    0.2   0.26   0.28   0.31   0.36   4921    1.0\n",
      "He_true[305]        0.26  5.0e-4   0.04   0.18   0.23   0.26   0.28   0.33   6133    1.0\n",
      "He_true[306]        0.29  5.6e-4   0.04   0.22   0.27   0.29   0.32   0.37   5136    1.0\n",
      "He_true[307]        0.24  5.4e-4   0.04   0.16   0.21   0.24   0.27   0.32   5837    1.0\n",
      "He_true[308]         0.2  5.4e-4   0.04   0.12   0.17    0.2   0.23   0.28   5745    1.0\n",
      "He_true[309]        0.26  4.8e-4   0.04   0.18   0.23   0.26   0.28   0.33   6800    1.0\n",
      "He_true[310]        0.27  5.0e-4   0.04   0.19   0.24   0.27   0.29   0.35   6617    1.0\n",
      "He_true[311]        0.28  5.1e-4   0.04    0.2   0.25   0.28   0.31   0.35   5934    1.0\n",
      "He_true[312]        0.22  5.5e-4   0.04   0.14   0.19   0.22   0.24    0.3   5601    1.0\n",
      "He_true[313]        0.29  5.8e-4   0.04   0.21   0.26   0.29   0.31   0.36   4592    1.0\n",
      "He_true[314]        0.27  5.7e-4   0.04   0.19   0.25   0.27    0.3   0.35   4959    1.0\n",
      "He_true[315]        0.27  5.3e-4   0.04   0.19   0.24   0.27    0.3   0.35   6049    1.0\n",
      "He_true[316]         0.3  5.2e-4   0.04   0.22   0.27    0.3   0.33   0.38   5626    1.0\n",
      "He_true[317]        0.29  5.4e-4   0.04   0.21   0.26   0.29   0.32   0.37   5541    1.0\n",
      "He_true[318]        0.28  5.9e-4   0.04    0.2   0.25   0.28    0.3   0.35   4855    1.0\n",
      "He_true[319]        0.27  5.0e-4   0.04   0.19   0.24   0.27    0.3   0.35   6769    1.0\n",
      "He_true[320]        0.31  5.0e-4   0.04   0.23   0.28   0.31   0.34   0.39   6456    1.0\n",
      "He_true[321]        0.25  4.7e-4   0.04   0.17   0.22   0.25   0.28   0.33   7102    1.0\n",
      "He_true[322]         0.3  5.5e-4   0.04   0.22   0.27    0.3   0.33   0.38   5406    1.0\n",
      "He_true[323]        0.26  5.1e-4   0.04   0.18   0.23   0.26   0.29   0.34   6387    1.0\n",
      "He_true[324]        0.29  5.8e-4   0.04   0.21   0.26   0.29   0.31   0.37   4845    1.0\n",
      "He_true[325]        0.26  6.1e-4   0.04   0.18   0.23   0.26   0.29   0.34   4523    1.0\n",
      "He_true[326]        0.23  5.5e-4   0.04   0.14    0.2   0.23   0.25    0.3   5371    1.0\n",
      "He_true[327]        0.32  5.8e-4   0.04   0.24   0.29   0.32   0.35    0.4   4924    1.0\n",
      "He_true[328]        0.28  5.8e-4   0.04    0.2   0.25   0.28    0.3   0.36   4860    1.0\n",
      "He_true[329]        0.29  5.2e-4   0.04   0.21   0.27   0.29   0.32   0.37   5979    1.0\n",
      "He_true[330]        0.25  5.7e-4   0.04   0.17   0.22   0.25   0.27   0.33   5170    1.0\n",
      "He_true[331]        0.31  5.9e-4   0.04   0.23   0.28   0.31   0.33   0.38   4451    1.0\n",
      "He_true[332]        0.29  5.5e-4   0.04   0.21   0.26   0.29   0.31   0.37   5133    1.0\n",
      "He_true[333]        0.27  5.6e-4   0.04    0.2   0.25   0.27    0.3   0.35   4832    1.0\n",
      "He_true[334]        0.21  5.6e-4   0.04   0.13   0.18   0.21   0.24   0.29   5002    1.0\n",
      "He_true[335]        0.29  5.3e-4   0.04   0.21   0.26   0.29   0.32   0.37   5735    1.0\n",
      "He_true[336]        0.28  5.4e-4   0.04    0.2   0.25   0.28   0.31   0.36   5598    1.0\n",
      "He_true[337]         0.2  5.8e-4   0.04   0.12   0.17    0.2   0.23   0.28   4906    1.0\n",
      "He_true[338]        0.22  5.4e-4   0.04   0.14   0.19   0.22   0.24   0.29   5420    1.0\n",
      "He_true[339]        0.29  5.1e-4   0.04   0.22   0.27   0.29   0.32   0.37   6160    1.0\n",
      "He_true[340]        0.21  5.8e-4   0.04   0.13   0.18   0.21   0.24   0.29   4933    1.0\n",
      "He_true[341]        0.23  5.7e-4   0.04   0.14    0.2   0.23   0.26   0.31   5583    1.0\n",
      "He_true[342]        0.26  5.4e-4   0.04   0.18   0.24   0.26   0.29   0.34   5842    1.0\n",
      "He_true[343]        0.29  5.1e-4   0.04   0.22   0.27   0.29   0.32   0.37   6024    1.0\n",
      "He_true[344]        0.27  5.5e-4   0.04   0.19   0.24   0.27    0.3   0.35   5548    1.0\n",
      "He_true[345]        0.28  5.4e-4   0.04    0.2   0.25   0.28   0.31   0.36   5415    1.0\n",
      "He_true[346]         0.3  5.7e-4   0.04   0.22   0.27    0.3   0.32   0.37   5038    1.0\n",
      "He_true[347]        0.23  5.2e-4   0.04   0.15    0.2   0.23   0.26   0.32   6370    1.0\n",
      "He_true[348]        0.33  6.0e-4   0.04   0.25    0.3   0.33   0.36   0.41   4485    1.0\n",
      "He_true[349]        0.28  5.7e-4   0.04    0.2   0.26   0.28   0.31   0.36   5136    1.0\n",
      "He_true[350]        0.22  5.9e-4   0.04   0.14   0.19   0.22   0.24   0.29   4514    1.0\n",
      "He_true[351]        0.23  5.7e-4   0.04   0.15    0.2   0.23   0.26   0.31   5081    1.0\n",
      "He_true[352]        0.29  5.3e-4   0.04   0.22   0.27   0.29   0.32   0.37   5215    1.0\n",
      "He_true[353]        0.29  5.0e-4   0.04   0.22   0.27   0.29   0.32   0.37   6154    1.0\n",
      "He_true[354]        0.27  5.3e-4   0.04   0.19   0.24   0.27    0.3   0.35   5624    1.0\n",
      "He_true[355]         0.3  6.1e-4   0.04   0.22   0.28    0.3   0.33   0.38   4407    1.0\n",
      "He_true[356]        0.26  5.6e-4   0.04   0.18   0.23   0.26   0.29   0.34   5444    1.0\n",
      "He_true[357]        0.25  5.0e-4   0.04   0.17   0.22   0.25   0.28   0.33   6206    1.0\n",
      "He_true[358]        0.26  5.5e-4   0.04   0.18   0.23   0.26   0.28   0.33   5332    1.0\n",
      "He_true[359]        0.27  4.8e-4   0.04   0.19   0.25   0.27    0.3   0.35   6547    1.0\n",
      "He_true[360]        0.22  5.6e-4   0.04   0.14   0.19   0.22   0.25    0.3   5066    1.0\n",
      "He_true[361]        0.26  5.5e-4   0.04   0.18   0.23   0.26   0.29   0.34   5305    1.0\n",
      "He_true[362]        0.33  6.0e-4   0.04   0.26   0.31   0.33   0.36   0.41   4684    1.0\n",
      "He_true[363]        0.32  5.3e-4   0.04   0.24   0.29   0.32   0.35    0.4   5769    1.0\n",
      "He_true[364]        0.27  5.6e-4   0.04   0.19   0.24   0.27    0.3   0.35   5034    1.0\n",
      "He_true[365]        0.28  5.2e-4   0.04    0.2   0.25   0.28    0.3   0.36   6075    1.0\n",
      "He_true[366]        0.32  5.6e-4   0.04   0.25    0.3   0.32   0.35    0.4   4906    1.0\n",
      "He_true[367]        0.26  5.4e-4   0.04   0.18   0.23   0.26   0.28   0.34   5568    1.0\n",
      "He_true[368]        0.24  5.3e-4   0.04   0.17   0.22   0.24   0.27   0.32   5699    1.0\n",
      "He_true[369]        0.24  5.7e-4   0.04   0.16   0.21   0.24   0.27   0.32   5120    1.0\n",
      "He_true[370]        0.23  5.6e-4   0.04   0.16   0.21   0.23   0.26   0.31   5054    1.0\n",
      "He_true[371]        0.29  5.4e-4   0.04   0.21   0.26   0.29   0.32   0.37   5678    1.0\n",
      "He_true[372]        0.25  5.5e-4   0.04   0.17   0.22   0.25   0.27   0.33   5059    1.0\n",
      "He_true[373]         0.3  5.7e-4   0.04   0.22   0.27    0.3   0.32   0.38   5132    1.0\n",
      "He_true[374]        0.29  5.4e-4   0.04   0.21   0.26   0.29   0.31   0.36   5520    1.0\n",
      "He_true[375]        0.29  5.9e-4   0.04   0.21   0.27   0.29   0.32   0.37   4604    1.0\n",
      "He_true[376]        0.28  5.2e-4   0.04    0.2   0.26   0.28   0.31   0.36   5716    1.0\n",
      "He_true[377]        0.22  5.4e-4   0.04   0.14   0.19   0.22   0.25    0.3   5448    1.0\n",
      "He_true[378]        0.23  5.8e-4   0.04   0.15    0.2   0.23   0.25    0.3   4743    1.0\n",
      "He_true[379]        0.25  4.9e-4   0.04   0.17   0.23   0.25   0.28   0.33   6638    1.0\n",
      "He_true[380]        0.27  5.5e-4   0.04   0.19   0.24   0.27   0.29   0.35   5369    1.0\n",
      "He_true[381]        0.28  5.1e-4   0.04    0.2   0.25   0.27    0.3   0.36   6565    1.0\n",
      "He_true[382]        0.27  5.9e-4   0.04   0.19   0.24   0.27    0.3   0.35   4688    1.0\n",
      "He_true[383]        0.25  5.4e-4   0.04   0.18   0.23   0.25   0.28   0.33   5462    1.0\n",
      "He_true[384]        0.24  4.7e-4   0.04   0.17   0.21   0.24   0.27   0.32   6891    1.0\n",
      "He_true[385]        0.29  6.1e-4   0.04   0.21   0.26   0.28   0.31   0.37   4312    1.0\n",
      "He_true[386]        0.22  5.5e-4   0.04   0.15    0.2   0.22   0.25    0.3   5324    1.0\n",
      "He_true[387]        0.23  5.4e-4   0.04   0.15    0.2   0.23   0.25    0.3   5393    1.0\n",
      "He_true[388]        0.25  5.4e-4   0.04   0.18   0.22   0.25   0.28   0.33   5286    1.0\n",
      "He_true[389]        0.36  5.2e-4   0.04   0.29   0.34   0.36   0.39   0.44   5903    1.0\n",
      "He_true[390]        0.32  5.5e-4   0.04   0.24   0.29   0.32   0.34    0.4   5303    1.0\n",
      "He_true[391]        0.27  5.6e-4   0.04   0.19   0.25   0.27    0.3   0.36   5433    1.0\n",
      "He_true[392]        0.26  5.8e-4   0.04   0.18   0.23   0.26   0.29   0.34   4850    1.0\n",
      "He_true[393]        0.31  5.4e-4   0.04   0.23   0.28   0.31   0.34   0.39   5764    1.0\n",
      "He_true[394]        0.26  5.6e-4   0.04   0.18   0.23   0.26   0.28   0.33   5034    1.0\n",
      "He_true[395]        0.22  5.6e-4   0.04   0.14   0.19   0.22   0.25    0.3   5343    1.0\n",
      "He_true[396]        0.27  5.3e-4   0.04   0.19   0.24   0.27    0.3   0.35   5700    1.0\n",
      "He_true[397]         0.2  5.3e-4   0.04   0.12   0.17    0.2   0.23   0.28   5718    1.0\n",
      "He_true[398]         0.2  5.8e-4   0.04   0.13   0.17    0.2   0.23   0.28   4626    1.0\n",
      "He_true[399]        0.26  5.4e-4   0.04   0.18   0.23   0.26   0.29   0.34   5535    1.0\n",
      "He_true[400]         0.3  5.7e-4   0.04   0.22   0.27    0.3   0.33   0.38   5162    1.0\n",
      "He_true[401]        0.27  5.7e-4   0.04   0.19   0.24   0.27    0.3   0.35   5095    1.0\n",
      "He_true[402]        0.24  5.5e-4   0.04   0.16   0.22   0.24   0.27   0.33   5501    1.0\n",
      "He_true[403]        0.29  5.8e-4   0.04   0.21   0.26   0.29   0.31   0.37   4921    1.0\n",
      "He_true[404]        0.26  5.5e-4   0.04   0.18   0.23   0.26   0.29   0.34   5497    1.0\n",
      "He_true[405]        0.21  5.8e-4   0.04   0.13   0.19   0.22   0.24    0.3   5156    1.0\n",
      "He_true[406]        0.29  4.9e-4   0.04   0.21   0.26   0.29   0.31   0.36   6500    1.0\n",
      "He_true[407]        0.27  5.0e-4   0.04   0.19   0.24   0.27   0.29   0.34   5992    1.0\n",
      "He_true[408]        0.23  5.9e-4   0.04   0.15   0.21   0.23   0.26   0.31   4688    1.0\n",
      "He_true[409]         0.2  5.7e-4   0.04   0.12   0.17    0.2   0.23   0.28   4964    1.0\n",
      "He_true[410]        0.28  5.6e-4   0.04    0.2   0.26   0.28   0.31   0.36   5141    1.0\n",
      "He_true[411]        0.34  5.2e-4   0.04   0.26   0.31   0.34   0.36   0.42   6105    1.0\n",
      "He_true[412]        0.18  5.4e-4   0.04    0.1   0.15   0.18   0.21   0.26   6000    1.0\n",
      "He_true[413]        0.28  5.4e-4   0.04    0.2   0.25   0.28    0.3   0.36   5688    1.0\n",
      "He_true[414]        0.23  5.5e-4   0.04   0.16    0.2   0.23   0.26   0.31   5378    1.0\n",
      "He_true[415]        0.28  5.0e-4   0.04   0.21   0.25   0.28   0.31   0.36   5964    1.0\n",
      "He_true[416]        0.28  5.2e-4   0.04    0.2   0.25   0.28   0.31   0.36   6356    1.0\n",
      "He_true[417]        0.29  5.7e-4   0.04   0.21   0.26   0.29   0.31   0.37   5032    1.0\n",
      "He_true[418]        0.26  5.3e-4   0.04   0.18   0.23   0.26   0.29   0.34   5574    1.0\n",
      "He_true[419]        0.26  5.5e-4   0.04   0.19   0.24   0.27   0.29   0.34   5278    1.0\n",
      "He_true[420]         0.3  5.3e-4   0.04   0.22   0.27    0.3   0.33   0.38   5591    1.0\n",
      "He_true[421]        0.26  5.2e-4   0.04   0.18   0.23   0.26   0.29   0.34   5697    1.0\n",
      "He_true[422]        0.24  5.3e-4   0.04   0.16   0.21   0.24   0.27   0.32   5709    1.0\n",
      "He_true[423]        0.25  5.5e-4   0.04   0.17   0.23   0.25   0.28   0.33   5476    1.0\n",
      "He_true[424]        0.26  5.1e-4   0.04   0.19   0.24   0.26   0.29   0.34   6265    1.0\n",
      "He_true[425]        0.22  5.4e-4   0.04   0.14   0.19   0.22   0.25    0.3   5783    1.0\n",
      "He_true[426]        0.34  6.0e-4   0.04   0.26   0.31   0.34   0.37   0.42   4489    1.0\n",
      "He_true[427]        0.28  5.4e-4   0.04    0.2   0.25   0.28    0.3   0.35   5631    1.0\n",
      "He_true[428]        0.33  6.3e-4   0.04   0.25    0.3   0.33   0.36   0.41   4206    1.0\n",
      "He_true[429]         0.3  5.2e-4   0.04   0.23   0.28    0.3   0.33   0.38   5695    1.0\n",
      "He_true[430]        0.26  5.9e-4   0.04   0.18   0.24   0.26   0.29   0.34   4753    1.0\n",
      "He_true[431]         0.3  5.5e-4   0.04   0.22   0.27    0.3   0.32   0.37   5113    1.0\n",
      "He_true[432]         0.3  5.6e-4   0.04   0.22   0.27    0.3   0.33   0.38   5212    1.0\n",
      "He_true[433]        0.25  5.9e-4   0.04   0.16   0.22   0.25   0.28   0.33   4982    1.0\n",
      "He_true[434]        0.27  5.7e-4   0.04   0.19   0.24   0.27    0.3   0.36   5253    1.0\n",
      "He_true[435]        0.34  5.3e-4   0.04   0.27   0.31   0.34   0.37   0.42   5349    1.0\n",
      "He_true[436]        0.25  5.3e-4   0.04   0.17   0.22   0.25   0.28   0.33   6098    1.0\n",
      "He_true[437]        0.27  5.8e-4   0.04   0.19   0.24   0.27    0.3   0.35   4967    1.0\n",
      "He_true[438]        0.27  5.8e-4   0.04   0.19   0.24   0.27    0.3   0.35   4690    1.0\n",
      "He_true[439]        0.25  5.1e-4   0.04   0.17   0.22   0.25   0.27   0.33   6037    1.0\n",
      "He_true[440]        0.26  5.2e-4   0.04   0.18   0.23   0.26   0.29   0.33   5873    1.0\n",
      "He_true[441]        0.27  5.9e-4   0.04   0.19   0.24   0.27   0.29   0.35   4750    1.0\n",
      "He_true[442]        0.25  5.5e-4   0.04   0.17   0.22   0.25   0.28   0.33   5372    1.0\n",
      "He_true[443]        0.28  5.4e-4   0.04    0.2   0.26   0.28   0.31   0.36   5200    1.0\n",
      "He_true[444]        0.31  5.5e-4   0.04   0.23   0.28   0.31   0.33   0.39   5257    1.0\n",
      "He_true[445]        0.26  5.6e-4   0.04   0.18   0.23   0.26   0.29   0.34   5207    1.0\n",
      "He_true[446]        0.26  5.3e-4   0.04   0.18   0.23   0.26   0.28   0.33   5544    1.0\n",
      "He_true[447]        0.25  5.0e-4   0.04   0.17   0.22   0.25   0.28   0.32   6341    1.0\n",
      "He_true[448]        0.25  5.2e-4   0.04   0.17   0.22   0.25   0.28   0.33   6131    1.0\n",
      "He_true[449]        0.21  5.7e-4   0.04   0.13   0.18   0.21   0.24   0.28   4951    1.0\n",
      "He_true[450]        0.28  5.5e-4   0.04    0.2   0.26   0.28   0.31   0.36   5247    1.0\n",
      "He_true[451]        0.26  5.6e-4   0.04   0.18   0.23   0.26   0.29   0.34   5518    1.0\n",
      "He_true[452]        0.29  5.6e-4   0.04   0.21   0.27   0.29   0.32   0.37   5299    1.0\n",
      "He_true[453]        0.25  5.5e-4   0.04   0.17   0.22   0.25   0.28   0.33   5505    1.0\n",
      "He_true[454]        0.26  5.8e-4   0.04   0.18   0.24   0.27   0.29   0.35   5130    1.0\n",
      "He_true[455]        0.29  5.3e-4   0.04   0.21   0.26   0.29   0.32   0.37   5932    1.0\n",
      "He_true[456]        0.21  5.2e-4   0.04   0.13   0.18   0.21   0.24   0.29   5946    1.0\n",
      "He_true[457]        0.29  5.5e-4   0.04   0.21   0.26   0.29   0.32   0.37   5592    1.0\n",
      "He_true[458]        0.29  5.4e-4   0.04   0.21   0.27   0.29   0.32   0.38   5725    1.0\n",
      "He_true[459]         0.3  5.3e-4   0.04   0.23   0.28    0.3   0.33   0.38   5697    1.0\n",
      "He_true[460]        0.25  5.4e-4   0.04   0.17   0.22   0.25   0.28   0.33   5831    1.0\n",
      "He_true[461]        0.29  5.5e-4   0.04   0.21   0.26   0.29   0.32   0.37   5382    1.0\n",
      "He_true[462]        0.16  5.7e-4   0.04   0.08   0.14   0.16   0.19   0.25   4888    1.0\n",
      "He_true[463]        0.27  5.5e-4   0.04   0.19   0.24   0.27    0.3   0.35   5628    1.0\n",
      "He_true[464]        0.28  5.3e-4   0.04    0.2   0.25   0.28   0.31   0.36   5898    1.0\n",
      "He_true[465]        0.27  5.3e-4   0.04   0.19   0.25   0.27    0.3   0.35   5901    1.0\n",
      "He_true[466]        0.31  5.7e-4   0.04   0.23   0.28   0.31   0.34   0.39   5131    1.0\n",
      "He_true[467]        0.24  6.2e-4   0.04   0.16   0.21   0.24   0.27   0.32   4130    1.0\n",
      "He_true[468]        0.31  5.5e-4   0.04   0.23   0.28   0.31   0.34   0.39   5361    1.0\n",
      "He_true[469]        0.23  5.1e-4   0.04   0.15    0.2   0.23   0.25    0.3   5986    1.0\n",
      "He_true[470]         0.3  5.2e-4   0.04   0.22   0.27    0.3   0.32   0.38   6006    1.0\n",
      "He_true[471]        0.28  5.2e-4   0.04   0.21   0.26   0.28   0.31   0.36   5688    1.0\n",
      "He_true[472]        0.25  5.4e-4   0.04   0.17   0.22   0.25   0.27   0.33   5498    1.0\n",
      "He_true[473]        0.23  5.7e-4   0.04   0.16   0.21   0.23   0.26   0.31   5053    1.0\n",
      "He_true[474]        0.27  5.4e-4   0.04   0.19   0.24   0.27    0.3   0.35   5553    1.0\n",
      "He_true[475]        0.26  5.8e-4   0.04   0.18   0.23   0.26   0.28   0.34   4822    1.0\n",
      "He_true[476]        0.28  5.4e-4   0.04    0.2   0.26   0.28   0.31   0.36   5446    1.0\n",
      "He_true[477]        0.26  5.6e-4   0.04   0.17   0.23   0.26   0.28   0.34   5567    1.0\n",
      "He_true[478]        0.26  5.2e-4   0.04   0.19   0.24   0.26   0.29   0.34   6013    1.0\n",
      "He_true[479]        0.28  4.8e-4   0.04    0.2   0.25   0.28    0.3   0.36   6657    1.0\n",
      "He_true[480]         0.3  5.1e-4   0.04   0.22   0.27    0.3   0.33   0.38   6090    1.0\n",
      "He_true[481]        0.26  5.0e-4   0.04   0.19   0.24   0.26   0.29   0.34   6101    1.0\n",
      "He_true[482]        0.28  5.5e-4   0.04    0.2   0.25   0.28   0.31   0.36   5343    1.0\n",
      "He_true[483]        0.26  5.2e-4   0.04   0.18   0.23   0.26   0.28   0.33   5644    1.0\n",
      "He_true[484]        0.24  5.3e-4   0.04   0.17   0.22   0.24   0.27   0.32   5613    1.0\n",
      "He_true[485]         0.3  5.7e-4   0.04   0.22   0.27    0.3   0.33   0.38   5077    1.0\n",
      "He_true[486]        0.33  5.3e-4   0.04   0.25    0.3   0.33   0.36   0.41   5590    1.0\n",
      "He_true[487]        0.26  5.0e-4   0.04   0.18   0.23   0.26   0.28   0.34   6225    1.0\n",
      "He_true[488]         0.2  6.2e-4   0.04   0.12   0.17    0.2   0.22   0.27   4010    1.0\n",
      "He_true[489]        0.24  5.7e-4   0.04   0.16   0.21   0.24   0.26   0.31   4995    1.0\n",
      "He_true[490]        0.32  5.4e-4   0.04   0.24    0.3   0.32   0.35   0.41   5680    1.0\n",
      "He_true[491]        0.28  4.7e-4   0.04    0.2   0.25   0.28   0.31   0.35   7076    1.0\n",
      "He_true[492]        0.22  5.8e-4   0.04   0.14   0.19   0.22   0.25    0.3   4964    1.0\n",
      "He_true[493]        0.27  5.5e-4   0.04   0.19   0.24   0.27    0.3   0.35   5588    1.0\n",
      "He_true[494]        0.29  5.5e-4   0.04   0.21   0.26   0.29   0.31   0.36   5389    1.0\n",
      "He_true[495]        0.28  6.0e-4   0.04    0.2   0.25   0.28   0.31   0.36   4655    1.0\n",
      "He_true[496]        0.26  6.2e-4   0.04   0.17   0.23   0.26   0.28   0.34   4379    1.0\n",
      "He_true[497]        0.28  5.1e-4   0.04    0.2   0.26   0.28   0.31   0.36   6116    1.0\n",
      "He_true[498]         0.3  5.4e-4   0.04   0.22   0.27    0.3   0.32   0.37   5595    1.0\n",
      "He_true[499]        0.25  5.5e-4   0.04   0.17   0.22   0.25   0.27   0.33   5301    1.0\n",
      "He_true[500]        0.27  5.4e-4   0.04   0.19   0.24   0.27   0.29   0.35   5732    1.0\n",
      "He_true[501]        0.27  5.0e-4   0.04   0.19   0.24   0.27   0.29   0.34   6120    1.0\n",
      "He_true[502]        0.19  5.0e-4   0.04   0.11   0.16   0.19   0.22   0.27   6232    1.0\n",
      "He_true[503]        0.34  5.3e-4   0.04   0.25   0.31   0.34   0.36   0.41   5939    1.0\n",
      "He_true[504]         0.2  6.4e-4   0.04   0.12   0.17    0.2   0.23   0.28   4154    1.0\n",
      "He_true[505]        0.25  5.7e-4   0.04   0.17   0.22   0.24   0.27   0.32   5099    1.0\n",
      "He_true[506]        0.31  5.4e-4   0.04   0.23   0.28   0.31   0.33   0.39   5390    1.0\n",
      "He_true[507]        0.24  5.6e-4   0.04   0.16   0.21   0.24   0.27   0.32   5212    1.0\n",
      "He_true[508]        0.24  5.2e-4   0.04   0.16   0.21   0.24   0.27   0.32   5824    1.0\n",
      "He_true[509]        0.21  4.7e-4   0.04   0.14   0.18   0.21   0.24   0.29   6825    1.0\n",
      "He_true[510]        0.18  5.2e-4   0.04    0.1   0.16   0.18   0.21   0.26   6064    1.0\n",
      "He_true[511]         0.2  5.5e-4   0.04   0.12   0.18    0.2   0.23   0.28   5314    1.0\n",
      "He_true[512]        0.22  5.7e-4   0.04   0.14   0.19   0.22   0.24    0.3   5049    1.0\n",
      "He_true[513]        0.19  5.7e-4   0.04   0.11   0.16   0.19   0.21   0.26   5035    1.0\n",
      "He_true[514]        0.29  5.9e-4   0.04   0.21   0.26   0.29   0.32   0.37   4726    1.0\n",
      "He_true[515]        0.24  5.6e-4   0.04   0.16   0.21   0.24   0.26   0.31   5099    1.0\n",
      "He_true[516]        0.29  5.1e-4   0.04   0.21   0.26   0.29   0.32   0.37   6146    1.0\n",
      "He_true[517]         0.3  5.6e-4   0.04   0.22   0.27    0.3   0.33   0.38   5369    1.0\n",
      "He_true[518]        0.27  5.3e-4   0.04   0.19   0.24   0.27    0.3   0.35   6013    1.0\n",
      "He_true[519]        0.27  5.0e-4   0.04   0.19   0.24   0.27   0.29   0.34   6249    1.0\n",
      "He_true[520]        0.23  5.7e-4   0.04   0.15   0.21   0.23   0.26   0.31   5056    1.0\n",
      "He_true[521]        0.27  5.6e-4   0.04   0.19   0.24   0.26   0.29   0.35   5032    1.0\n",
      "He_true[522]        0.24  5.5e-4   0.04   0.16   0.22   0.24   0.27   0.32   5473    1.0\n",
      "He_true[523]        0.27  5.4e-4   0.04    0.2   0.25   0.27    0.3   0.35   5617    1.0\n",
      "He_true[524]        0.34  6.1e-4   0.04   0.26   0.31   0.34   0.37   0.42   4653    1.0\n",
      "He_true[525]        0.21  5.3e-4   0.04   0.13   0.18   0.21   0.24   0.29   6326    1.0\n",
      "He_true[526]        0.26  5.5e-4   0.04   0.18   0.23   0.26   0.29   0.34   5221    1.0\n",
      "He_true[527]        0.18  5.4e-4   0.04    0.1   0.15   0.17    0.2   0.26   5767    1.0\n",
      "He_true[528]        0.29  5.8e-4   0.04   0.21   0.27   0.29   0.32   0.37   4932    1.0\n",
      "He_true[529]        0.29  5.3e-4   0.04   0.21   0.26   0.29   0.32   0.38   6278    1.0\n",
      "He_true[530]        0.22  5.3e-4   0.04   0.14   0.19   0.22   0.25    0.3   5830    1.0\n",
      "He_true[531]         0.2  5.0e-4   0.04   0.12   0.17    0.2   0.23   0.28   5845    1.0\n",
      "He_true[532]        0.24  5.7e-4   0.04   0.17   0.22   0.24   0.27   0.32   4873    1.0\n",
      "He_true[533]        0.26  5.4e-4   0.04   0.18   0.23   0.26   0.28   0.34   5849    1.0\n",
      "He_true[534]         0.3  5.5e-4   0.04   0.22   0.27    0.3   0.32   0.38   5436    1.0\n",
      "He_true[535]        0.22  5.4e-4   0.04   0.14   0.19   0.22   0.24    0.3   5626    1.0\n",
      "He_true[536]         0.3  5.6e-4   0.04   0.22   0.28    0.3   0.33   0.38   5444    1.0\n",
      "He_true[537]        0.27  5.4e-4   0.04   0.19   0.24   0.27   0.29   0.34   5434    1.0\n",
      "He_true[538]        0.28  5.2e-4   0.04    0.2   0.26   0.28   0.31   0.36   6133    1.0\n",
      "He_true[539]        0.26  5.9e-4   0.04   0.18   0.23   0.26   0.29   0.34   4664    1.0\n",
      "He_true[540]        0.27  5.8e-4   0.04   0.19   0.24   0.27    0.3   0.35   5019    1.0\n",
      "He_true[541]        0.21  5.3e-4   0.04   0.13   0.19   0.21   0.24   0.29   5813    1.0\n",
      "He_true[542]        0.33  5.7e-4   0.04   0.25    0.3   0.33   0.36   0.41   5344    1.0\n",
      "He_true[543]        0.28  5.1e-4   0.04    0.2   0.25   0.28    0.3   0.35   6133    1.0\n",
      "He_true[544]        0.26  5.2e-4   0.04   0.18   0.23   0.26   0.29   0.34   6415    1.0\n",
      "He_true[545]        0.24  5.3e-4   0.04   0.16   0.21   0.24   0.27   0.32   5694    1.0\n",
      "He_true[546]        0.29  5.5e-4   0.04   0.21   0.26   0.29   0.32   0.37   5577    1.0\n",
      "He_true[547]        0.24  5.6e-4   0.04   0.16   0.21   0.24   0.26   0.31   4757    1.0\n",
      "He_true[548]        0.25  5.3e-4   0.04   0.17   0.22   0.25   0.28   0.33   5851    1.0\n",
      "He_true[549]        0.32  5.4e-4   0.04   0.23   0.29   0.32   0.34    0.4   6072    1.0\n",
      "He_true[550]        0.21  5.0e-4   0.04   0.13   0.19   0.21   0.24   0.29   6598    1.0\n",
      "He_true[551]        0.29  5.7e-4   0.04   0.21   0.27   0.29   0.32   0.37   4884    1.0\n",
      "He_true[552]        0.28  5.6e-4   0.04    0.2   0.25   0.28   0.31   0.36   5203    1.0\n",
      "He_true[553]         0.2  5.6e-4   0.04   0.12   0.18    0.2   0.23   0.28   5526    1.0\n",
      "He_true[554]         0.2  5.5e-4   0.04   0.12   0.17    0.2   0.23   0.28   5416    1.0\n",
      "He_true[555]        0.28  5.5e-4   0.04    0.2   0.25   0.28    0.3   0.35   5141    1.0\n",
      "He_true[556]        0.28  5.7e-4   0.04    0.2   0.25   0.28   0.31   0.36   5130    1.0\n",
      "He_true[557]        0.23  5.5e-4   0.04   0.15   0.21   0.23   0.26   0.31   5300    1.0\n",
      "He_true[558]         0.3  5.4e-4   0.04   0.22   0.27    0.3   0.33   0.38   5715    1.0\n",
      "He_true[559]        0.23  5.6e-4   0.04   0.15    0.2   0.23   0.25   0.31   5178    1.0\n",
      "He_true[560]        0.27  5.4e-4   0.04   0.19   0.24   0.27    0.3   0.35   5628    1.0\n",
      "He_true[561]        0.22  5.0e-4   0.04   0.15   0.19   0.22   0.25    0.3   5992    1.0\n",
      "He_true[562]        0.27  5.1e-4   0.04   0.19   0.24   0.27   0.29   0.34   5674    1.0\n",
      "He_true[563]        0.23  5.6e-4   0.04   0.15   0.21   0.23   0.26   0.31   5108    1.0\n",
      "He_true[564]        0.28  5.3e-4   0.04   0.21   0.26   0.28   0.31   0.36   5533    1.0\n",
      "He_true[565]        0.29  5.3e-4   0.04   0.21   0.26   0.29   0.31   0.37   5961    1.0\n",
      "He_true[566]        0.36  5.7e-4   0.04   0.28   0.33   0.36   0.38   0.43   4993    1.0\n",
      "He_true[567]        0.23  5.2e-4   0.04   0.15   0.21   0.23   0.26   0.31   6051    1.0\n",
      "He_true[568]        0.29  5.0e-4   0.04   0.21   0.26   0.29   0.32   0.37   6148    1.0\n",
      "He_true[569]        0.21  5.2e-4   0.04   0.13   0.18    0.2   0.23   0.29   6036    1.0\n",
      "He_true[570]        0.26  5.0e-4   0.04   0.18   0.23   0.25   0.28   0.33   6534    1.0\n",
      "He_true[571]         0.2  5.9e-4   0.04   0.12   0.17    0.2   0.23   0.28   4676    1.0\n",
      "He_true[572]        0.22  5.6e-4   0.04   0.14   0.19   0.22   0.25    0.3   5105    1.0\n",
      "He_true[573]         0.3  5.3e-4   0.04   0.22   0.27    0.3   0.32   0.38   5742    1.0\n",
      "He_true[574]        0.25  5.6e-4   0.04   0.17   0.22   0.25   0.28   0.33   4888    1.0\n",
      "He_true[575]        0.25  5.1e-4   0.04   0.17   0.23   0.25   0.28   0.33   6272    1.0\n",
      "He_true[576]        0.28  5.4e-4   0.04    0.2   0.25   0.28   0.31   0.35   5535    1.0\n",
      "He_true[577]        0.27  5.0e-4   0.04   0.19   0.24   0.27    0.3   0.35   6193    1.0\n",
      "He_true[578]         0.3  5.7e-4   0.04   0.22   0.27    0.3   0.33   0.38   5207    1.0\n",
      "He_true[579]        0.31  6.0e-4   0.04   0.23   0.28   0.31   0.34   0.39   4646    1.0\n",
      "He_true[580]        0.24  5.2e-4   0.04   0.16   0.22   0.24   0.27   0.32   6012    1.0\n",
      "He_true[581]        0.18  6.0e-4   0.04    0.1   0.15   0.18   0.21   0.26   4830    1.0\n",
      "He_true[582]        0.29  5.3e-4   0.04    0.2   0.26   0.29   0.31   0.37   6043    1.0\n",
      "He_true[583]        0.27  5.7e-4   0.04   0.19   0.24   0.27    0.3   0.35   5053    1.0\n",
      "He_true[584]        0.29  5.5e-4   0.04   0.21   0.26   0.29   0.32   0.37   5405    1.0\n",
      "He_true[585]        0.27  5.5e-4   0.04    0.2   0.25   0.27    0.3   0.35   5028    1.0\n",
      "He_true[586]        0.28  5.4e-4   0.04    0.2   0.25   0.28    0.3   0.35   5438    1.0\n",
      "He_true[587]        0.28  5.0e-4   0.04    0.2   0.25   0.28    0.3   0.35   6466    1.0\n",
      "He_true[588]        0.22  5.9e-4   0.04   0.14   0.19   0.22   0.24    0.3   5011    1.0\n",
      "He_true[589]        0.19  5.5e-4   0.04   0.11   0.16   0.19   0.21   0.26   5302    1.0\n",
      "He_true[590]        0.24  5.3e-4   0.04   0.16   0.22   0.24   0.27   0.32   5819    1.0\n",
      "He_true[591]        0.28  5.3e-4   0.04    0.2   0.25   0.28   0.31   0.36   5704    1.0\n",
      "He_true[592]        0.26  5.2e-4   0.04   0.18   0.23   0.26   0.29   0.34   6630    1.0\n",
      "He_true[593]        0.26  5.2e-4   0.04   0.18   0.23   0.26   0.29   0.34   6113    1.0\n",
      "He_true[594]        0.23  6.2e-4   0.04   0.15    0.2   0.23   0.26   0.31   4369    1.0\n",
      "He_true[595]        0.28  4.9e-4   0.04   0.21   0.26   0.28   0.31   0.36   6350    1.0\n",
      "He_true[596]        0.26  5.5e-4   0.04   0.18   0.23   0.26   0.29   0.34   5579    1.0\n",
      "He_true[597]        0.28  5.4e-4   0.04    0.2   0.25   0.28   0.31   0.36   5831    1.0\n",
      "He_true[598]        0.31  5.5e-4   0.04   0.24   0.29   0.31   0.34   0.39   5342    1.0\n",
      "He_true[599]        0.29  5.2e-4   0.04   0.21   0.26   0.29   0.32   0.36   5539    1.0\n",
      "He_true[600]        0.25  5.1e-4   0.04   0.17   0.22   0.25   0.27   0.33   6058    1.0\n",
      "He_true[601]        0.26  5.3e-4   0.04   0.18   0.24   0.26   0.29   0.34   5578    1.0\n",
      "He_true[602]        0.26  5.3e-4   0.04   0.18   0.24   0.26   0.29   0.34   6026    1.0\n",
      "He_true[603]        0.22  5.8e-4   0.04   0.13   0.19   0.22   0.25    0.3   5189    1.0\n",
      "He_true[604]        0.24  5.2e-4   0.04   0.16   0.21   0.24   0.27   0.32   6018    1.0\n",
      "He_true[605]        0.28  5.4e-4   0.04   0.21   0.26   0.28   0.31   0.36   5185    1.0\n",
      "He_true[606]        0.32  5.5e-4   0.04   0.24   0.29   0.32   0.35    0.4   5417    1.0\n",
      "He_true[607]        0.26  5.6e-4   0.04   0.18   0.23   0.26   0.29   0.34   5272    1.0\n",
      "He_true[608]        0.26  5.3e-4   0.04   0.18   0.23   0.26   0.29   0.34   5853    1.0\n",
      "He_true[609]        0.22  5.8e-4   0.04   0.13   0.19   0.22   0.24   0.29   4878    1.0\n",
      "He_true[610]        0.26  5.3e-4   0.04   0.18   0.23   0.26   0.29   0.34   5697    1.0\n",
      "He_true[611]        0.23  5.2e-4   0.04   0.15    0.2   0.23   0.25    0.3   5660    1.0\n",
      "He_true[612]        0.25  5.1e-4   0.04   0.17   0.22   0.25   0.27   0.32   5761    1.0\n",
      "He_true[613]        0.28  5.3e-4   0.04   0.21   0.26   0.28   0.31   0.36   5586    1.0\n",
      "He_true[614]        0.19  5.7e-4   0.04    0.1   0.16   0.19   0.21   0.27   5319    1.0\n",
      "He_true[615]         0.3  6.4e-4   0.04   0.22   0.27    0.3   0.33   0.38   4215    1.0\n",
      "He_true[616]         0.3  5.2e-4   0.04   0.22   0.27   0.29   0.32   0.37   6111    1.0\n",
      "He_true[617]        0.29  5.2e-4   0.04   0.21   0.26   0.29   0.31   0.36   6094    1.0\n",
      "He_true[618]        0.25  5.6e-4   0.04   0.18   0.23   0.25   0.28   0.33   4708    1.0\n",
      "He_true[619]         0.2  5.4e-4   0.04   0.12   0.18    0.2   0.23   0.28   5670    1.0\n",
      "He_true[620]         0.3  5.8e-4   0.04   0.22   0.27    0.3   0.32   0.38   5028    1.0\n",
      "He_true[621]        0.28  5.4e-4   0.04    0.2   0.25   0.28   0.31   0.36   5567    1.0\n",
      "He_true[622]        0.29  5.5e-4   0.04   0.21   0.26   0.29   0.31   0.37   5651    1.0\n",
      "He_true[623]        0.28  5.8e-4   0.04    0.2   0.25   0.28    0.3   0.35   4811    1.0\n",
      "He_true[624]        0.29  5.5e-4   0.04   0.21   0.27   0.29   0.32   0.37   5526    1.0\n",
      "He_true[625]         0.3  5.1e-4   0.04   0.22   0.27    0.3   0.33   0.38   6295    1.0\n",
      "He_true[626]        0.34  5.6e-4   0.04   0.26   0.31   0.34   0.36   0.42   5351    1.0\n",
      "He_true[627]        0.24  5.3e-4   0.04   0.17   0.22   0.24   0.27   0.32   5390    1.0\n",
      "He_true[628]        0.25  5.3e-4   0.04   0.17   0.22   0.25   0.27   0.32   5500    1.0\n",
      "He_true[629]        0.26  5.7e-4   0.04   0.18   0.23   0.26   0.28   0.33   4806    1.0\n",
      "He_true[630]        0.27  5.5e-4   0.04   0.19   0.24   0.27    0.3   0.35   5222    1.0\n",
      "He_true[631]        0.29  5.5e-4   0.04   0.21   0.27   0.29   0.32   0.37   5351    1.0\n",
      "He_true[632]        0.28  5.2e-4   0.04    0.2   0.25   0.28   0.31   0.36   5976    1.0\n",
      "He_true[633]         0.3  5.3e-4   0.04   0.22   0.27    0.3   0.32   0.37   5689    1.0\n",
      "He_true[634]        0.31  5.5e-4   0.04   0.23   0.28   0.31   0.34   0.39   5663    1.0\n",
      "He_true[635]        0.26  5.0e-4   0.04   0.18   0.23   0.26   0.28   0.34   6446    1.0\n",
      "He_true[636]        0.29  5.3e-4   0.04   0.21   0.26   0.29   0.31   0.37   5519    1.0\n",
      "He_true[637]        0.28  5.3e-4   0.04    0.2   0.25   0.28   0.31   0.36   5819    1.0\n",
      "He_true[638]        0.26  5.2e-4   0.04   0.18   0.23   0.26   0.29   0.34   5921    1.0\n",
      "He_true[639]        0.27  5.6e-4   0.04   0.19   0.24   0.27    0.3   0.35   4976    1.0\n",
      "He_true[640]        0.27  5.5e-4   0.04   0.19   0.24   0.27    0.3   0.35   5371    1.0\n",
      "He_true[641]         0.3  5.5e-4   0.04   0.22   0.28   0.31   0.33   0.38   5204    1.0\n",
      "He_true[642]        0.29  5.6e-4   0.04   0.21   0.26   0.29   0.31   0.36   5070    1.0\n",
      "He_true[643]        0.25  5.6e-4   0.04   0.16   0.22   0.25   0.27   0.33   5306    1.0\n",
      "He_true[644]         0.3  5.3e-4   0.04   0.22   0.27    0.3   0.32   0.37   5282    1.0\n",
      "He_true[645]        0.27  5.5e-4   0.04   0.19   0.24   0.27   0.29   0.34   5194    1.0\n",
      "He_true[646]        0.24  5.8e-4   0.04   0.16   0.22   0.24   0.27   0.32   5147    1.0\n",
      "He_true[647]         0.2  5.8e-4   0.04   0.12   0.18    0.2   0.23   0.28   4851    1.0\n",
      "He_true[648]        0.27  5.3e-4   0.04   0.19   0.24   0.27    0.3   0.35   5665    1.0\n",
      "He_true[649]        0.31  5.1e-4   0.04   0.23   0.28   0.31   0.33   0.38   6061    1.0\n",
      "He_true[650]        0.26  5.4e-4   0.04   0.18   0.23   0.26   0.28   0.33   5607    1.0\n",
      "He_true[651]        0.27  5.4e-4   0.04   0.19   0.25   0.27    0.3   0.35   5546    1.0\n",
      "He_true[652]        0.36  5.7e-4   0.04   0.29   0.34   0.36   0.39   0.44   4888    1.0\n",
      "He_true[653]        0.26  5.7e-4   0.04   0.18   0.23   0.26   0.29   0.34   4833    1.0\n",
      "He_true[654]        0.28  5.3e-4   0.04    0.2   0.25   0.28    0.3   0.36   5782    1.0\n",
      "He_true[655]         0.3  5.9e-4   0.04   0.22   0.27    0.3   0.32   0.38   4518    1.0\n",
      "He_true[656]         0.2  5.7e-4   0.04   0.12   0.17    0.2   0.23   0.28   5020    1.0\n",
      "He_true[657]        0.31  5.4e-4   0.04   0.23   0.28    0.3   0.33   0.38   5529    1.0\n",
      "He_true[658]        0.26  5.4e-4   0.04   0.18   0.24   0.26   0.29   0.35   5743    1.0\n",
      "He_true[659]        0.28  5.5e-4   0.04    0.2   0.25   0.28   0.31   0.36   5341    1.0\n",
      "He_true[660]        0.33  5.4e-4   0.04   0.25    0.3   0.33   0.35   0.41   5650    1.0\n",
      "He_true[661]        0.32  5.5e-4   0.04   0.25    0.3   0.32   0.35    0.4   5185    1.0\n",
      "He_true[662]         0.3  5.4e-4   0.04   0.22   0.28    0.3   0.33   0.39   6010    1.0\n",
      "He_true[663]        0.32  5.5e-4   0.04   0.24   0.29   0.32   0.34   0.39   5426    1.0\n",
      "He_true[664]        0.26  5.5e-4   0.04   0.18   0.23   0.26   0.29   0.34   5269    1.0\n",
      "He_true[665]        0.26  5.7e-4   0.04   0.18   0.24   0.26   0.29   0.34   4911    1.0\n",
      "He_true[666]        0.26  6.0e-4   0.04   0.18   0.23   0.26   0.29   0.34   4910    1.0\n",
      "He_true[667]        0.26  5.8e-4   0.04   0.18   0.23   0.26   0.29   0.34   5204    1.0\n",
      "He_true[668]        0.28  5.5e-4   0.04    0.2   0.25   0.28    0.3   0.36   5268    1.0\n",
      "He_true[669]        0.28  5.0e-4   0.04    0.2   0.25   0.28    0.3   0.36   6425    1.0\n",
      "He_true[670]        0.27  5.4e-4   0.04   0.19   0.24   0.27    0.3   0.35   5507    1.0\n",
      "He_true[671]        0.27  5.2e-4   0.04   0.19   0.24   0.27    0.3   0.35   6578    1.0\n",
      "He_true[672]        0.26  5.2e-4   0.04   0.18   0.23   0.26   0.28   0.33   5840    1.0\n",
      "He_true[673]        0.33  5.8e-4   0.04   0.26    0.3   0.33   0.36   0.41   4613    1.0\n",
      "He_true[674]         0.2  5.3e-4   0.04   0.12   0.17    0.2   0.23   0.28   5727    1.0\n",
      "He_true[675]        0.22  5.6e-4   0.04   0.14   0.19   0.22   0.24    0.3   4960    1.0\n",
      "He_true[676]        0.23  5.1e-4   0.04   0.16   0.21   0.23   0.26   0.31   5832    1.0\n",
      "He_true[677]        0.27  5.8e-4   0.04   0.19   0.24   0.27    0.3   0.35   4786    1.0\n",
      "He_true[678]        0.33  5.6e-4   0.04   0.25    0.3   0.33   0.35   0.41   5410    1.0\n",
      "He_true[679]        0.25  5.7e-4   0.04   0.17   0.22   0.25   0.27   0.32   4477    1.0\n",
      "He_true[680]        0.24  5.3e-4   0.04   0.15   0.21   0.24   0.27   0.31   5944    1.0\n",
      "He_true[681]        0.28  6.1e-4   0.04    0.2   0.25   0.28   0.31   0.36   4350    1.0\n",
      "He_true[682]        0.22  5.7e-4   0.04   0.14   0.19   0.22   0.25    0.3   5078    1.0\n",
      "He_true[683]        0.21  5.7e-4   0.04   0.13   0.18   0.21   0.23   0.28   4877    1.0\n",
      "He_true[684]        0.26  5.3e-4   0.04   0.18   0.23   0.26   0.28   0.33   5411    1.0\n",
      "He_true[685]        0.27  5.2e-4   0.04   0.19   0.24   0.27   0.29   0.34   5487    1.0\n",
      "He_true[686]        0.26  5.5e-4   0.04   0.18   0.23   0.26   0.29   0.34   5292    1.0\n",
      "He_true[687]         0.2  5.5e-4   0.04   0.13   0.18    0.2   0.23   0.28   5038    1.0\n",
      "He_true[688]        0.22  5.5e-4   0.04   0.14   0.19   0.22   0.25    0.3   5134    1.0\n",
      "He_true[689]        0.28  5.6e-4   0.04    0.2   0.25   0.28    0.3   0.36   5519    1.0\n",
      "He_true[690]        0.23  5.6e-4   0.04   0.15    0.2   0.23   0.25   0.31   5033    1.0\n",
      "He_true[691]        0.21  5.6e-4   0.04   0.13   0.19   0.21   0.24   0.29   5260    1.0\n",
      "He_true[692]        0.27  5.4e-4   0.04   0.19   0.24   0.27    0.3   0.35   5513    1.0\n",
      "He_true[693]        0.27  5.6e-4   0.04   0.19   0.24   0.27    0.3   0.35   5109    1.0\n",
      "He_true[694]        0.21  5.5e-4   0.04   0.13   0.18   0.21   0.24   0.29   5354    1.0\n",
      "He_true[695]        0.26  5.2e-4   0.04   0.19   0.24   0.26   0.29   0.34   5797    1.0\n",
      "He_true[696]        0.34  5.8e-4   0.04   0.26   0.32   0.34   0.37   0.43   4932    1.0\n",
      "He_true[697]        0.32  5.5e-4   0.04   0.24   0.29   0.31   0.34    0.4   5319    1.0\n",
      "He_true[698]        0.21  5.4e-4   0.04   0.13   0.18   0.21   0.23   0.28   5604    1.0\n",
      "He_true[699]        0.25  4.9e-4   0.04   0.17   0.23   0.25   0.28   0.33   6990    1.0\n",
      "He_true[700]        0.27  5.3e-4   0.04   0.19   0.24   0.27    0.3   0.35   5726    1.0\n",
      "He_true[701]         0.3  5.5e-4   0.04   0.22   0.27    0.3   0.33   0.37   5037    1.0\n",
      "He_true[702]        0.27  5.4e-4   0.04   0.19   0.24   0.27   0.29   0.35   5444    1.0\n",
      "He_true[703]        0.26  5.4e-4   0.04   0.18   0.23   0.26   0.29   0.34   5548    1.0\n",
      "He_true[704]        0.29  5.9e-4   0.04   0.21   0.26   0.29   0.32   0.37   4642    1.0\n",
      "He_true[705]        0.29  6.0e-4   0.04   0.21   0.26   0.29   0.32   0.37   4835    1.0\n",
      "He_true[706]        0.29  5.5e-4   0.04   0.21   0.26   0.29   0.31   0.37   5397    1.0\n",
      "He_true[707]        0.28  5.1e-4   0.04   0.21   0.26   0.28   0.31   0.36   6128    1.0\n",
      "He_true[708]        0.29  5.3e-4   0.04   0.22   0.26   0.29   0.32   0.37   5270    1.0\n",
      "He_true[709]        0.25  5.4e-4   0.04   0.17   0.22   0.25   0.28   0.33   5325    1.0\n",
      "He_true[710]        0.24  6.0e-4   0.04   0.16   0.21   0.24   0.27   0.33   4901    1.0\n",
      "He_true[711]        0.29  5.9e-4   0.04   0.21   0.26   0.29   0.32   0.37   4564    1.0\n",
      "He_true[712]         0.3  5.1e-4   0.04   0.22   0.28    0.3   0.33   0.38   6062    1.0\n",
      "He_true[713]        0.28  5.5e-4   0.04    0.2   0.25   0.28   0.31   0.36   5631    1.0\n",
      "He_true[714]        0.31  5.5e-4   0.04   0.22   0.28   0.31   0.34   0.39   5799    1.0\n",
      "He_true[715]        0.26  5.5e-4   0.04   0.19   0.24   0.26   0.29   0.34   4899    1.0\n",
      "He_true[716]         0.3  5.9e-4   0.04   0.22   0.27    0.3   0.33   0.38   4654    1.0\n",
      "He_true[717]        0.36  5.6e-4   0.04   0.28   0.33   0.36   0.39   0.44   4985    1.0\n",
      "He_true[718]        0.21  5.3e-4   0.04   0.13   0.18   0.21   0.24   0.29   5428    1.0\n",
      "He_true[719]        0.28  5.4e-4   0.04    0.2   0.25   0.28   0.31   0.36   5476    1.0\n",
      "He_true[720]        0.27  5.5e-4   0.04    0.2   0.25   0.27    0.3   0.35   5107    1.0\n",
      "He_true[721]        0.21  5.5e-4   0.04   0.13   0.18   0.21   0.23   0.29   5279    1.0\n",
      "He_true[722]        0.25  5.3e-4   0.04   0.17   0.22   0.25   0.27   0.33   5647    1.0\n",
      "He_true[723]         0.3  5.6e-4   0.04   0.22   0.27    0.3   0.32   0.38   5255    1.0\n",
      "He_true[724]        0.25  5.2e-4   0.04   0.17   0.22   0.25   0.27   0.32   6376    1.0\n",
      "He_true[725]         0.3  5.3e-4   0.04   0.23   0.27    0.3   0.33   0.38   5616    1.0\n",
      "He_true[726]        0.28  5.2e-4   0.04    0.2   0.25   0.28   0.31   0.35   5976    1.0\n",
      "He_true[727]        0.29  5.5e-4   0.04   0.21   0.26   0.29   0.32   0.37   5159    1.0\n",
      "He_true[728]        0.25  5.6e-4   0.04   0.17   0.22   0.25   0.27   0.32   5020    1.0\n",
      "He_true[729]         0.3  5.4e-4   0.04   0.22   0.27    0.3   0.33   0.38   5512    1.0\n",
      "He_true[730]        0.25  5.6e-4   0.04   0.17   0.22   0.25   0.28   0.33   5263    1.0\n",
      "He_true[731]        0.23  5.7e-4   0.04   0.15    0.2   0.23   0.25   0.31   4905    1.0\n",
      "He_true[732]         0.3  5.3e-4   0.04   0.22   0.27    0.3   0.33   0.38   5629    1.0\n",
      "He_true[733]        0.26  5.0e-4   0.04   0.18   0.23   0.26   0.29   0.34   6660    1.0\n",
      "He_true[734]         0.3  5.6e-4   0.04   0.22   0.28    0.3   0.33   0.38   5086    1.0\n",
      "He_true[735]        0.29  5.3e-4   0.04   0.21   0.26   0.29   0.31   0.37   5702    1.0\n",
      "He_true[736]        0.19  5.3e-4   0.04   0.12   0.17   0.19   0.22   0.27   5657    1.0\n",
      "He_true[737]        0.23  5.6e-4   0.04   0.16   0.21   0.23   0.26   0.31   5089    1.0\n",
      "He_true[738]        0.28  5.5e-4   0.04    0.2   0.25   0.28    0.3   0.36   4962    1.0\n",
      "He_true[739]        0.22  5.6e-4   0.04   0.14   0.19   0.21   0.24    0.3   5368    1.0\n",
      "He_true[740]        0.25  5.5e-4   0.04   0.17   0.22   0.25   0.28   0.33   5177    1.0\n",
      "He_true[741]        0.26  5.3e-4   0.04   0.18   0.24   0.26   0.29   0.34   5911    1.0\n",
      "He_true[742]        0.21  5.6e-4   0.04   0.13   0.18   0.21   0.23   0.29   5370    1.0\n",
      "He_true[743]        0.33  5.4e-4   0.04   0.25    0.3   0.33   0.35    0.4   5635    1.0\n",
      "He_true[744]        0.24  5.5e-4   0.04   0.16   0.21   0.24   0.26   0.32   5207    1.0\n",
      "He_true[745]        0.33  5.7e-4   0.04   0.25    0.3   0.33   0.36   0.41   4964    1.0\n",
      "He_true[746]        0.29  5.3e-4   0.04   0.21   0.26   0.29   0.31   0.37   5754    1.0\n",
      "He_true[747]        0.31  5.9e-4   0.04   0.23   0.28   0.31   0.34    0.4   4788    1.0\n",
      "He_true[748]        0.23  5.1e-4   0.04   0.15    0.2   0.23   0.25    0.3   6156    1.0\n",
      "He_true[749]        0.24  5.2e-4   0.04   0.16   0.21   0.24   0.26   0.32   6038    1.0\n",
      "He_true[750]        0.29  5.6e-4   0.04   0.22   0.27   0.29   0.32   0.37   5083    1.0\n",
      "He_true[751]        0.33  5.6e-4   0.04   0.24    0.3   0.33   0.35   0.41   5652    1.0\n",
      "He_true[752]        0.29  5.5e-4   0.04   0.21   0.27   0.29   0.32   0.37   5250    1.0\n",
      "He_true[753]        0.26  5.3e-4   0.04   0.19   0.24   0.26   0.29   0.34   5806    1.0\n",
      "He_true[754]        0.32  5.6e-4   0.04   0.24   0.29   0.32   0.34    0.4   5131    1.0\n",
      "He_true[755]        0.32  5.5e-4   0.04   0.24   0.29   0.32   0.34   0.39   5251    1.0\n",
      "He_true[756]        0.22  6.0e-4   0.04   0.14   0.19   0.22   0.25    0.3   4439    1.0\n",
      "He_true[757]        0.34  5.8e-4   0.04   0.26   0.31   0.34   0.36   0.42   4741    1.0\n",
      "He_true[758]        0.29  5.4e-4   0.04   0.22   0.27   0.29   0.32   0.37   5355    1.0\n",
      "He_true[759]        0.26  5.2e-4   0.04   0.19   0.24   0.26   0.29   0.34   5920    1.0\n",
      "He_true[760]        0.27  5.1e-4   0.04    0.2   0.24   0.27    0.3   0.35   5958    1.0\n",
      "He_true[761]        0.28  6.1e-4   0.04    0.2   0.25   0.28    0.3   0.35   4317    1.0\n",
      "He_true[762]        0.19  5.7e-4   0.04   0.12   0.17   0.19   0.22   0.27   4911    1.0\n",
      "He_true[763]        0.24  5.5e-4   0.04   0.16   0.22   0.24   0.27   0.32   5421    1.0\n",
      "He_true[764]        0.23  5.7e-4   0.04   0.15    0.2   0.23   0.26   0.31   5114    1.0\n",
      "He_true[765]        0.26  6.0e-4   0.04   0.18   0.23   0.26   0.29   0.34   4938    1.0\n",
      "He_true[766]        0.31  5.4e-4   0.04   0.24   0.28   0.31   0.34   0.39   5605    1.0\n",
      "He_true[767]        0.27  5.1e-4   0.04   0.19   0.24   0.27    0.3   0.35   6383    1.0\n",
      "He_true[768]        0.31  5.9e-4   0.04   0.23   0.28   0.31   0.34    0.4   4858    1.0\n",
      "He_true[769]        0.29  5.9e-4   0.04   0.21   0.26   0.29   0.31   0.37   4670    1.0\n",
      "He_true[770]        0.26  5.6e-4   0.04   0.18   0.23   0.26   0.28   0.34   5116    1.0\n",
      "He_true[771]        0.31  5.4e-4   0.04   0.23   0.28   0.31   0.33   0.39   5598    1.0\n",
      "He_true[772]        0.22  5.1e-4   0.04   0.15    0.2   0.22   0.25    0.3   6154    1.0\n",
      "He_true[773]        0.19  5.3e-4   0.04   0.12   0.17   0.19   0.22   0.27   5760    1.0\n",
      "He_true[774]        0.32  5.4e-4   0.04   0.24    0.3   0.32   0.35    0.4   5696    1.0\n",
      "He_true[775]        0.32  5.4e-4   0.04   0.24   0.29   0.31   0.34   0.39   5137    1.0\n",
      "He_true[776]        0.27  5.4e-4   0.04   0.19   0.24   0.27   0.29   0.35   5662    1.0\n",
      "He_true[777]         0.3  5.1e-4   0.04   0.22   0.27   0.29   0.32   0.37   6060    1.0\n",
      "He_true[778]        0.25  5.0e-4   0.04   0.17   0.22   0.25   0.28   0.33   6652    1.0\n",
      "He_true[779]        0.22  5.9e-4   0.04   0.13   0.19   0.22   0.24    0.3   4973    1.0\n",
      "He_true[780]        0.25  5.5e-4   0.04   0.18   0.23   0.26   0.28   0.33   5323    1.0\n",
      "He_true[781]        0.26  5.5e-4   0.04   0.18   0.24   0.26   0.29   0.34   5544    1.0\n",
      "He_true[782]        0.24  5.3e-4   0.04   0.16   0.21   0.24   0.27   0.32   5834    1.0\n",
      "He_true[783]        0.24  5.5e-4   0.04   0.16   0.21   0.24   0.26   0.32   5518    1.0\n",
      "He_true[784]        0.24  5.5e-4   0.04   0.16   0.21   0.24   0.27   0.32   5606    1.0\n",
      "He_true[785]        0.37  5.5e-4   0.04    0.3   0.35   0.37    0.4   0.45   5222    1.0\n",
      "He_true[786]        0.21  5.4e-4   0.04   0.13   0.18   0.21   0.24   0.29   5558    1.0\n",
      "He_true[787]         0.3  5.5e-4   0.04   0.22   0.27    0.3   0.33   0.38   5198    1.0\n",
      "He_true[788]        0.21  5.6e-4   0.04   0.13   0.18   0.21   0.24   0.29   5250    1.0\n",
      "He_true[789]        0.32  5.2e-4   0.04   0.24   0.29   0.32   0.34   0.39   6057    1.0\n",
      "He_true[790]        0.26  5.2e-4   0.04   0.18   0.23   0.26   0.29   0.34   6088    1.0\n",
      "He_true[791]        0.24  5.4e-4   0.04   0.16   0.21   0.24   0.26   0.32   5576    1.0\n",
      "He_true[792]        0.26  5.2e-4   0.04   0.18   0.23   0.26   0.29   0.34   5831    1.0\n",
      "He_true[793]        0.23  6.0e-4   0.04   0.15    0.2   0.23   0.26   0.31   4373    1.0\n",
      "He_true[794]        0.24  5.6e-4   0.04   0.17   0.22   0.24   0.27   0.32   5194    1.0\n",
      "He_true[795]        0.31  5.3e-4   0.04   0.23   0.28    0.3   0.33   0.39   6038    1.0\n",
      "He_true[796]        0.25  5.6e-4   0.04   0.17   0.22   0.25   0.28   0.33   5217    1.0\n",
      "He_true[797]        0.19  5.3e-4   0.04   0.11   0.16   0.19   0.22   0.27   5783    1.0\n",
      "He_true[798]        0.23  5.6e-4   0.04   0.14    0.2   0.23   0.26   0.31   5720    1.0\n",
      "He_true[799]        0.25  6.0e-4   0.04   0.17   0.22   0.25   0.28   0.33   4599    1.0\n",
      "He_true[800]        0.23  5.4e-4   0.04   0.15    0.2   0.23   0.26   0.31   5516    1.0\n",
      "He_true[801]        0.27  5.1e-4   0.04   0.19   0.24   0.27    0.3   0.35   6031    1.0\n",
      "He_true[802]        0.27  4.7e-4   0.04   0.19   0.24   0.27   0.29   0.34   6983    1.0\n",
      "He_true[803]        0.26  5.4e-4   0.04   0.18   0.23   0.26   0.28   0.33   5500    1.0\n",
      "He_true[804]         0.2  5.5e-4   0.04   0.12   0.17    0.2   0.22   0.27   5175    1.0\n",
      "He_true[805]        0.16  5.6e-4   0.04   0.08   0.13   0.16   0.19   0.24   5143    1.0\n",
      "He_true[806]        0.28  5.4e-4   0.04    0.2   0.25   0.28    0.3   0.36   5473    1.0\n",
      "He_true[807]         0.3  5.4e-4   0.04   0.23   0.28    0.3   0.33   0.38   5942    1.0\n",
      "He_true[808]        0.27  5.2e-4   0.04   0.19   0.24   0.27   0.29   0.35   6218    1.0\n",
      "He_true[809]        0.21  5.2e-4   0.04   0.13   0.18   0.21   0.23   0.28   5755    1.0\n",
      "He_true[810]        0.29  5.7e-4   0.04   0.21   0.26   0.29   0.31   0.37   5239    1.0\n",
      "He_true[811]        0.23  5.3e-4   0.04   0.15    0.2   0.23   0.26   0.31   5593    1.0\n",
      "He_true[812]        0.26  5.4e-4   0.04   0.18   0.23   0.26   0.29   0.34   5595    1.0\n",
      "He_true[813]        0.31  5.5e-4   0.04   0.24   0.29   0.31   0.34    0.4   5668    1.0\n",
      "He_true[814]        0.26  5.0e-4   0.04   0.18   0.24   0.26   0.29   0.34   6066    1.0\n",
      "He_true[815]        0.28  5.4e-4   0.04    0.2   0.25   0.28   0.31   0.36   5538    1.0\n",
      "He_true[816]        0.23  5.4e-4   0.04   0.15    0.2   0.23   0.25   0.31   5722    1.0\n",
      "He_true[817]        0.28  6.1e-4   0.04    0.2   0.25   0.28   0.31   0.36   4471    1.0\n",
      "He_true[818]        0.25  5.5e-4   0.04   0.17   0.22   0.24   0.27   0.33   5339    1.0\n",
      "He_true[819]        0.27  5.6e-4   0.04   0.19   0.24   0.27    0.3   0.35   5134    1.0\n",
      "He_true[820]        0.21  5.3e-4   0.04   0.13   0.19   0.21   0.24   0.29   5801    1.0\n",
      "He_true[821]        0.21  5.5e-4   0.04   0.13   0.18   0.21   0.23   0.29   5412    1.0\n",
      "He_true[822]        0.25  5.6e-4   0.04   0.17   0.22   0.25   0.27   0.33   4976    1.0\n",
      "He_true[823]         0.3  5.6e-4   0.04   0.22   0.27    0.3   0.33   0.38   5652    1.0\n",
      "He_true[824]        0.29  5.5e-4   0.04   0.21   0.27   0.29   0.32   0.37   5289    1.0\n",
      "He_true[825]        0.34  5.6e-4   0.04   0.25   0.31   0.34   0.36   0.41   5193    1.0\n",
      "He_true[826]        0.25  5.2e-4   0.04   0.17   0.22   0.25   0.28   0.33   6080    1.0\n",
      "He_true[827]         0.3  5.9e-4   0.04   0.22   0.28    0.3   0.33   0.38   4542    1.0\n",
      "He_true[828]        0.21  6.0e-4   0.04   0.13   0.18   0.21   0.24   0.29   4854    1.0\n",
      "He_true[829]        0.29  5.3e-4   0.04   0.21   0.27   0.29   0.32   0.37   5835    1.0\n",
      "He_true[830]        0.25  5.2e-4   0.04   0.17   0.22   0.25   0.28   0.33   6023    1.0\n",
      "He_true[831]         0.3  5.5e-4   0.04   0.22   0.27    0.3   0.33   0.38   5222    1.0\n",
      "He_true[832]        0.32  5.4e-4   0.04   0.24   0.29   0.32   0.34    0.4   5319    1.0\n",
      "He_true[833]        0.28  5.7e-4   0.04    0.2   0.25   0.28   0.31   0.36   5211    1.0\n",
      "He_true[834]        0.34  5.4e-4   0.04   0.26   0.31   0.34   0.37   0.42   5570    1.0\n",
      "He_true[835]        0.34  5.5e-4   0.04   0.26   0.31   0.34   0.37   0.42   5327    1.0\n",
      "He_true[836]        0.27  5.3e-4   0.04   0.19   0.24   0.27    0.3   0.35   5662    1.0\n",
      "He_true[837]        0.31  5.3e-4   0.04   0.23   0.28   0.31   0.34   0.39   5665    1.0\n",
      "He_true[838]        0.32  5.3e-4   0.04   0.24   0.29   0.32   0.35    0.4   5603    1.0\n",
      "He_true[839]        0.32  5.3e-4   0.04   0.23   0.29   0.32   0.34    0.4   5651    1.0\n",
      "He_true[840]        0.27  5.5e-4   0.04   0.19   0.24   0.27   0.29   0.35   5320    1.0\n",
      "He_true[841]        0.28  5.4e-4   0.04   0.21   0.26   0.28   0.31   0.36   5078    1.0\n",
      "He_true[842]        0.24  5.5e-4   0.04   0.16   0.22   0.24   0.27   0.32   5347    1.0\n",
      "He_true[843]        0.23  5.4e-4   0.04   0.15   0.21   0.23   0.26   0.31   5600    1.0\n",
      "He_true[844]        0.28  5.3e-4   0.04    0.2   0.25   0.28   0.31   0.36   5932    1.0\n",
      "He_true[845]        0.29  5.0e-4   0.04   0.21   0.26   0.29   0.32   0.37   6534    1.0\n",
      "He_true[846]        0.26  5.9e-4   0.04   0.18   0.24   0.26   0.29   0.34   4869    1.0\n",
      "He_true[847]        0.26  5.7e-4   0.04   0.18   0.23   0.26   0.29   0.33   4907    1.0\n",
      "He_true[848]         0.3  4.9e-4   0.04   0.22   0.27    0.3   0.32   0.38   6937    1.0\n",
      "He_true[849]        0.19  5.7e-4   0.04   0.11   0.16   0.19   0.22   0.27   4903    1.0\n",
      "He_true[850]        0.27  5.8e-4   0.04   0.19   0.24   0.27    0.3   0.35   5051    1.0\n",
      "He_true[851]        0.32  5.8e-4   0.04   0.24    0.3   0.32   0.35    0.4   4895    1.0\n",
      "He_true[852]        0.26  5.0e-4   0.04   0.18   0.23   0.26   0.29   0.34   6323    1.0\n",
      "He_true[853]        0.27  5.3e-4   0.04   0.19   0.24   0.27    0.3   0.35   5463    1.0\n",
      "He_true[854]         0.3  6.0e-4   0.04   0.22   0.27    0.3   0.32   0.38   4631    1.0\n",
      "He_true[855]        0.23  5.3e-4   0.04   0.15   0.21   0.23   0.26   0.31   5788    1.0\n",
      "He_true[856]        0.29  5.3e-4   0.04   0.21   0.26   0.29   0.32   0.37   6154    1.0\n",
      "He_true[857]        0.21  5.7e-4   0.04   0.13   0.18   0.21   0.24   0.29   4745    1.0\n",
      "He_true[858]        0.25  5.4e-4   0.04   0.18   0.23   0.25   0.28   0.33   5387    1.0\n",
      "He_true[859]        0.25  5.4e-4   0.04   0.17   0.22   0.25   0.28   0.33   5330    1.0\n",
      "He_true[860]         0.3  5.6e-4   0.04   0.22   0.27    0.3   0.33   0.38   5323    1.0\n",
      "He_true[861]         0.3  5.3e-4   0.04   0.22   0.27    0.3   0.33   0.38   5811    1.0\n",
      "He_true[862]        0.24  5.1e-4   0.04   0.16   0.21   0.24   0.27   0.32   6142    1.0\n",
      "He_true[863]        0.32  5.4e-4   0.04   0.24    0.3   0.32   0.35   0.41   5915    1.0\n",
      "He_true[864]        0.27  6.0e-4   0.04   0.19   0.24   0.27    0.3   0.35   4472    1.0\n",
      "He_true[865]        0.26  5.4e-4   0.04   0.18   0.23   0.26   0.29   0.34   5607    1.0\n",
      "He_true[866]        0.27  4.8e-4   0.04    0.2   0.25   0.27    0.3   0.35   6799    1.0\n",
      "He_true[867]        0.29  5.7e-4   0.04   0.21   0.26   0.29   0.32   0.37   5154    1.0\n",
      "He_true[868]        0.23  5.8e-4   0.04   0.16   0.21   0.23   0.26   0.31   4658    1.0\n",
      "He_true[869]        0.22  5.3e-4   0.04   0.14   0.19   0.22   0.24   0.29   5802    1.0\n",
      "He_true[870]        0.22  5.5e-4   0.04   0.14   0.19   0.22   0.24    0.3   5190    1.0\n",
      "He_true[871]        0.23  5.4e-4   0.04   0.15    0.2   0.23   0.26   0.31   5753    1.0\n",
      "He_true[872]        0.32  5.4e-4   0.04   0.24    0.3   0.32   0.35    0.4   5819    1.0\n",
      "He_true[873]        0.24  5.6e-4   0.04   0.16   0.21   0.24   0.27   0.32   5642    1.0\n",
      "He_true[874]        0.26  5.6e-4   0.04   0.18   0.23   0.26   0.28   0.33   5088    1.0\n",
      "He_true[875]        0.31  5.2e-4   0.04   0.23   0.28   0.31   0.33   0.39   6093    1.0\n",
      "He_true[876]        0.26  5.5e-4   0.04   0.18   0.23   0.26   0.29   0.34   5273    1.0\n",
      "He_true[877]        0.26  5.5e-4   0.04   0.18   0.23   0.26   0.29   0.34   5257    1.0\n",
      "He_true[878]        0.27  5.4e-4   0.04   0.19   0.24   0.27    0.3   0.35   5758    1.0\n",
      "He_true[879]        0.25  5.4e-4   0.04   0.18   0.23   0.25   0.28   0.33   5519    1.0\n",
      "He_true[880]        0.27  5.6e-4   0.04   0.19   0.24   0.27    0.3   0.35   5205    1.0\n",
      "He_true[881]        0.25  5.3e-4   0.04   0.17   0.22   0.25   0.28   0.33   5816    1.0\n",
      "He_true[882]        0.25  5.2e-4   0.04   0.17   0.23   0.25   0.28   0.33   5993    1.0\n",
      "He_true[883]        0.25  5.6e-4   0.04   0.17   0.22   0.25   0.28   0.33   5579    1.0\n",
      "He_true[884]        0.32  5.6e-4   0.04   0.24   0.29   0.32   0.35    0.4   5161    1.0\n",
      "He_true[885]        0.29  5.2e-4   0.04   0.21   0.26   0.29   0.31   0.37   5795    1.0\n",
      "He_true[886]        0.29  5.3e-4   0.04   0.21   0.26   0.29   0.32   0.37   5846    1.0\n",
      "He_true[887]        0.32  5.8e-4   0.04   0.24    0.3   0.32   0.35    0.4   4906    1.0\n",
      "He_true[888]        0.25  5.6e-4   0.04   0.17   0.23   0.26   0.28   0.33   5396    1.0\n",
      "He_true[889]        0.33  5.3e-4   0.04   0.25    0.3   0.33   0.35   0.41   5675    1.0\n",
      "He_true[890]        0.35  5.0e-4   0.04   0.27   0.32   0.35   0.38   0.43   6658    1.0\n",
      "He_true[891]        0.32  5.3e-4   0.04   0.24   0.29   0.32   0.34    0.4   5666    1.0\n",
      "He_true[892]        0.29  5.6e-4   0.04   0.21   0.26   0.29   0.32   0.37   5608    1.0\n",
      "He_true[893]        0.26  5.7e-4   0.04   0.18   0.24   0.26   0.29   0.35   5277    1.0\n",
      "He_true[894]        0.26  5.5e-4   0.04   0.18   0.23   0.26   0.29   0.34   5237    1.0\n",
      "He_true[895]        0.23  5.5e-4   0.04   0.15    0.2   0.23   0.26   0.31   5588    1.0\n",
      "He_true[896]        0.26  5.8e-4   0.04   0.18   0.24   0.26   0.29   0.34   4843    1.0\n",
      "He_true[897]         0.3  5.6e-4   0.04   0.22   0.27    0.3   0.32   0.38   5228    1.0\n",
      "He_true[898]        0.28  5.5e-4   0.04    0.2   0.26   0.28   0.31   0.36   5215    1.0\n",
      "He_true[899]        0.28  5.4e-4   0.04    0.2   0.25   0.28   0.31   0.36   5532    1.0\n",
      "He_true[900]        0.27  5.5e-4   0.04   0.19   0.24   0.27    0.3   0.35   5412    1.0\n",
      "He_true[901]        0.26  5.6e-4   0.04   0.18   0.24   0.26   0.29   0.34   5015    1.0\n",
      "He_true[902]        0.26  5.7e-4   0.04   0.18   0.23   0.26   0.29   0.34   5193    1.0\n",
      "He_true[903]         0.3  5.2e-4   0.04   0.22   0.27    0.3   0.32   0.37   5766    1.0\n",
      "He_true[904]        0.24  5.3e-4   0.04   0.16   0.21   0.24   0.26   0.31   5833    1.0\n",
      "He_true[905]        0.28  5.4e-4   0.04    0.2   0.25   0.28    0.3   0.36   5629    1.0\n",
      "He_true[906]        0.23  5.4e-4   0.04   0.15    0.2   0.23   0.26   0.31   5736    1.0\n",
      "He_true[907]        0.33  5.1e-4   0.04   0.25    0.3   0.33   0.36   0.42   6525    1.0\n",
      "He_true[908]        0.28  5.8e-4   0.04    0.2   0.26   0.28   0.31   0.36   4932    1.0\n",
      "He_true[909]        0.31  5.6e-4   0.04   0.23   0.28   0.31   0.33   0.39   5162    1.0\n",
      "He_true[910]        0.27  5.5e-4   0.04   0.19   0.24   0.27   0.29   0.35   5432    1.0\n",
      "He_true[911]        0.25  4.8e-4   0.04   0.18   0.23   0.25   0.28   0.33   6563    1.0\n",
      "He_true[912]        0.31  5.2e-4   0.04   0.24   0.29   0.31   0.34   0.39   5672    1.0\n",
      "He_true[913]        0.25  5.1e-4   0.04   0.17   0.22   0.25   0.28   0.33   5883    1.0\n",
      "He_true[914]        0.25  5.2e-4   0.04   0.17   0.22   0.25   0.28   0.33   5996    1.0\n",
      "He_true[915]        0.26  5.5e-4   0.04   0.18   0.23   0.26   0.29   0.34   5252    1.0\n",
      "He_true[916]        0.24  5.8e-4   0.04   0.17   0.22   0.24   0.27   0.32   4638    1.0\n",
      "He_true[917]         0.3  5.7e-4   0.04   0.23   0.28    0.3   0.33   0.38   5029    1.0\n",
      "He_true[918]        0.29  5.3e-4   0.04   0.21   0.26   0.29   0.32   0.37   5832    1.0\n",
      "He_true[919]        0.28  5.3e-4   0.04    0.2   0.25   0.28   0.31   0.36   5526    1.0\n",
      "He_true[920]        0.29  5.1e-4   0.04   0.21   0.27   0.29   0.32   0.37   6319    1.0\n",
      "He_true[921]        0.29  5.2e-4   0.04   0.21   0.26   0.29   0.32   0.37   5927    1.0\n",
      "He_true[922]        0.39  5.2e-4   0.04   0.31   0.37   0.39   0.42   0.48   6287    1.0\n",
      "He_true[923]        0.25  5.3e-4   0.04   0.17   0.22   0.25   0.27   0.33   5786    1.0\n",
      "He_true[924]        0.26  5.5e-4   0.04   0.19   0.24   0.26   0.29   0.34   5173    1.0\n",
      "He_true[925]        0.24  5.5e-4   0.04   0.16   0.21   0.24   0.27   0.32   5381    1.0\n",
      "He_true[926]        0.28  5.5e-4   0.04    0.2   0.25   0.28   0.31   0.36   5567    1.0\n",
      "He_true[927]        0.38  6.0e-4   0.04    0.3   0.35   0.38   0.41   0.46   4520    1.0\n",
      "He_true[928]        0.25  5.5e-4   0.04   0.17   0.22   0.25   0.28   0.33   5190    1.0\n",
      "He_true[929]        0.29  5.1e-4   0.04   0.21   0.26   0.29   0.31   0.36   6071    1.0\n",
      "He_true[930]        0.34  5.4e-4   0.04   0.26   0.31   0.33   0.36   0.41   5376    1.0\n",
      "He_true[931]        0.22  5.4e-4   0.04   0.14   0.19   0.22   0.25    0.3   5539    1.0\n",
      "He_true[932]        0.27  5.8e-4   0.04    0.2   0.25   0.27    0.3   0.35   4814    1.0\n",
      "He_true[933]        0.25  5.4e-4   0.04   0.16   0.22   0.25   0.27   0.33   5772    1.0\n",
      "He_true[934]        0.28  5.4e-4   0.04    0.2   0.25   0.28    0.3   0.36   5504    1.0\n",
      "He_true[935]        0.23  5.0e-4   0.04   0.15    0.2   0.23   0.25    0.3   6396    1.0\n",
      "He_true[936]        0.28  5.3e-4   0.04    0.2   0.25   0.28    0.3   0.36   5421    1.0\n",
      "He_true[937]        0.23  5.0e-4   0.04   0.15    0.2   0.23   0.25   0.31   6251    1.0\n",
      "He_true[938]        0.29  5.2e-4   0.04   0.21   0.27   0.29   0.32   0.37   6427    1.0\n",
      "He_true[939]        0.27  5.4e-4   0.04   0.19   0.24   0.27    0.3   0.35   5553    1.0\n",
      "He_true[940]        0.23  5.1e-4   0.04   0.15    0.2   0.23   0.26   0.31   6131    1.0\n",
      "He_true[941]        0.28  6.1e-4   0.04    0.2   0.25   0.28   0.31   0.36   4313    1.0\n",
      "He_true[942]        0.28  5.5e-4   0.04   0.19   0.25   0.28    0.3   0.36   5566    1.0\n",
      "He_true[943]        0.35  6.2e-4   0.04   0.27   0.32   0.35   0.38   0.43   4528    1.0\n",
      "He_true[944]         0.3  5.2e-4   0.04   0.21   0.27    0.3   0.32   0.38   6081    1.0\n",
      "He_true[945]        0.33  5.8e-4   0.04   0.25    0.3   0.33   0.36   0.41   4873    1.0\n",
      "He_true[946]        0.31  5.4e-4   0.04   0.23   0.28   0.31   0.33   0.39   5537    1.0\n",
      "He_true[947]        0.22  5.6e-4   0.04   0.14   0.19   0.22   0.25    0.3   4965    1.0\n",
      "He_true[948]         0.3  5.3e-4   0.04   0.22   0.27    0.3   0.32   0.38   5838    1.0\n",
      "He_true[949]        0.32  5.1e-4   0.04   0.24   0.29   0.31   0.34   0.39   5941    1.0\n",
      "He_true[950]        0.23  5.6e-4   0.04   0.15   0.21   0.23   0.26   0.31   4930    1.0\n",
      "He_true[951]        0.32  5.4e-4   0.04   0.24   0.29   0.32   0.34    0.4   5654    1.0\n",
      "He_true[952]        0.16  5.5e-4   0.04   0.08   0.13   0.16   0.19   0.24   5662    1.0\n",
      "He_true[953]        0.21  5.5e-4   0.04   0.13   0.19   0.21   0.24   0.29   5244    1.0\n",
      "He_true[954]         0.3  5.4e-4   0.04   0.22   0.27    0.3   0.32   0.37   5163    1.0\n",
      "He_true[955]        0.27  5.6e-4   0.04   0.19   0.24   0.27   0.29   0.35   5209    1.0\n",
      "He_true[956]        0.32  5.8e-4   0.04   0.24   0.29   0.32   0.34    0.4   4781    1.0\n",
      "He_true[957]        0.29  5.3e-4   0.04   0.21   0.26   0.29   0.32   0.37   5778    1.0\n",
      "He_true[958]        0.27  5.5e-4   0.04   0.19   0.24   0.27   0.29   0.34   5235    1.0\n",
      "He_true[959]        0.24  5.5e-4   0.04   0.16   0.21   0.24   0.27   0.32   5221    1.0\n",
      "He_true[960]        0.33  5.2e-4   0.04   0.25    0.3   0.33   0.36   0.41   5843    1.0\n",
      "He_true[961]        0.24  5.3e-4   0.04   0.16   0.21   0.24   0.27   0.32   5574    1.0\n",
      "He_true[962]        0.28  5.3e-4   0.04    0.2   0.25   0.28   0.31   0.36   5629    1.0\n",
      "He_true[963]        0.27  5.0e-4   0.04    0.2   0.24   0.27    0.3   0.35   6144    1.0\n",
      "He_true[964]        0.33  5.0e-4   0.04   0.25    0.3   0.33   0.36   0.41   6396    1.0\n",
      "He_true[965]        0.28  5.4e-4   0.04    0.2   0.25   0.28    0.3   0.36   5523    1.0\n",
      "He_true[966]        0.26  5.4e-4   0.04   0.18   0.23   0.26   0.29   0.34   5506    1.0\n",
      "He_true[967]        0.27  5.5e-4   0.04   0.19   0.24   0.27   0.29   0.35   5840    1.0\n",
      "He_true[968]        0.21  5.3e-4   0.04   0.12   0.18   0.21   0.23   0.28   5865    1.0\n",
      "He_true[969]        0.26  5.1e-4   0.04   0.18   0.23   0.26   0.28   0.34   6526    1.0\n",
      "He_true[970]         0.2  5.5e-4   0.04   0.12   0.17    0.2   0.23   0.28   5111    1.0\n",
      "He_true[971]         0.3  5.4e-4   0.04   0.22   0.27    0.3   0.32   0.37   5406    1.0\n",
      "He_true[972]        0.27  5.5e-4   0.04   0.19   0.24   0.27   0.29   0.35   5389    1.0\n",
      "He_true[973]        0.22  5.8e-4   0.04   0.14   0.19   0.22   0.25    0.3   5059    1.0\n",
      "He_true[974]        0.29  5.4e-4   0.04   0.21   0.26   0.29   0.31   0.36   5476    1.0\n",
      "He_true[975]        0.33  5.3e-4   0.04   0.25    0.3   0.33   0.35    0.4   6037    1.0\n",
      "He_true[976]        0.29  5.1e-4   0.04   0.21   0.26   0.29   0.32   0.37   5976    1.0\n",
      "He_true[977]        0.27  5.5e-4   0.04   0.19   0.25   0.27    0.3   0.35   5340    1.0\n",
      "He_true[978]        0.24  5.5e-4   0.04   0.16   0.21   0.24   0.27   0.32   5461    1.0\n",
      "He_true[979]        0.25  5.8e-4   0.04   0.17   0.23   0.25   0.28   0.33   4760    1.0\n",
      "He_true[980]        0.32  5.4e-4   0.04   0.24   0.29   0.32   0.34    0.4   5373    1.0\n",
      "He_true[981]         0.2  5.5e-4   0.04   0.12   0.18    0.2   0.23   0.28   5510    1.0\n",
      "He_true[982]        0.25  5.8e-4   0.04   0.17   0.22   0.25   0.28   0.33   4949    1.0\n",
      "He_true[983]        0.28  5.5e-4   0.04    0.2   0.25   0.28   0.31   0.36   5532    1.0\n",
      "He_true[984]        0.23  6.0e-4   0.04   0.15    0.2   0.23   0.26   0.31   4666    1.0\n",
      "He_true[985]        0.24  5.4e-4   0.04   0.16   0.21   0.24   0.26   0.32   5597    1.0\n",
      "He_true[986]        0.14  5.8e-4   0.04   0.06   0.11   0.14   0.17   0.22   4976    1.0\n",
      "He_true[987]        0.24  5.4e-4   0.04   0.16   0.21   0.24   0.27   0.32   5727    1.0\n",
      "He_true[988]        0.33  5.8e-4   0.04   0.25    0.3   0.33   0.36   0.41   5044    1.0\n",
      "He_true[989]        0.31  5.1e-4   0.04   0.23   0.28   0.31   0.33   0.39   6183    1.0\n",
      "He_true[990]         0.3  5.5e-4   0.04   0.22   0.27    0.3   0.33   0.38   5552    1.0\n",
      "He_true[991]        0.32  5.4e-4   0.04   0.24   0.29   0.32   0.35    0.4   5392    1.0\n",
      "He_true[992]        0.29  5.6e-4   0.04   0.21   0.26   0.29   0.31   0.36   4838    1.0\n",
      "He_true[993]        0.32  5.6e-4   0.04   0.24   0.29   0.32   0.35    0.4   5189    1.0\n",
      "He_true[994]        0.28  5.5e-4   0.04   0.21   0.26   0.28   0.31   0.36   4942    1.0\n",
      "He_true[995]        0.29  5.8e-4   0.04   0.21   0.26   0.28   0.31   0.36   4539    1.0\n",
      "He_true[996]         0.3  5.8e-4   0.04   0.22   0.27    0.3   0.33   0.37   4730    1.0\n",
      "He_true[997]        0.31  5.7e-4   0.04   0.23   0.28   0.31   0.33   0.39   5011    1.0\n",
      "He_true[998]         0.2  5.9e-4   0.04   0.11   0.17   0.19   0.22   0.28   4962    1.0\n",
      "He_true[999]        0.22  5.9e-4   0.04   0.14   0.19   0.22   0.24    0.3   4960    1.0\n",
      "He_true[1000]       0.26  5.6e-4   0.04   0.18   0.23   0.26   0.29   0.34   5058    1.0\n",
      "lp__               -1003     1.1  31.72  -1065  -1024  -1004 -982.3 -940.6    828    1.0\n",
      "\n",
      "Samples were drawn using NUTS at Mon Oct 15 15:43:34 2018.\n",
      "For each parameter, n_eff is a crude measure of effective sample size,\n",
      "and Rhat is the potential scale reduction factor on split chains (at \n",
      "convergence, Rhat=1).\n"
     ]
    }
   ],
   "source": [
    "print(fit)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:pystan:Deprecation warning. In future, use ArviZ library (`pip install arviz`)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "fit.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}