{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Calibrating the velocity field against observations "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Copyright (C) 2024 Richard Stiskalek\n",
    "# This program is free software; you can redistribute it and/or modify it\n",
    "# under the terms of the GNU General Public License as published by the\n",
    "# Free Software Foundation; either version 3 of the License, or (at your\n",
    "# option) any later version.\n",
    "#\n",
    "# This program is distributed in the hope that it will be useful, but\n",
    "# WITHOUT ANY WARRANTY; without even the implied warranty of\n",
    "# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General\n",
    "# Public License for more details.\n",
    "#\n",
    "# You should have received a copy of the GNU General Public License along\n",
    "# with this program; if not, write to the Free Software Foundation, Inc.,\n",
    "# 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301, USA.\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import jax\n",
    "from jax import numpy as jnp\n",
    "from numpyro.infer import MCMC, NUTS, init_to_median\n",
    "import corner\n",
    "from getdist import plots\n",
    "from scipy.stats import multivariate_normal\n",
    "\n",
    "import csiborgtools\n",
    "\n",
    "from flow_calibration import *\n",
    "\n",
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "%matplotlib inline\n",
    "\n",
    "paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## LOS density & radial velocity plots "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2024-06-26 08:43:14.168393:   reading the catalogue,\n",
      "2024-06-26 08:43:14.224388:   reading the interpolated field,\n",
      "2024-06-26 08:43:14.298118:   calculating the radial velocity.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/mnt/users/rstiskalek/csiborgtools/csiborgtools/flow/flow_model.py:91: UserWarning: The number of radial steps is even. Skipping the first step at 0.0 because Simpson's rule requires an odd number of steps.\n",
      "  warn(f\"The number of radial steps is even. Skipping the first \"\n"
     ]
    }
   ],
   "source": [
    "fpath = \"/mnt/extraspace/rstiskalek/catalogs/PV_compilation.hdf5\"\n",
    "\n",
    "loader_carrick = csiborgtools.flow.DataLoader(\"Carrick2015\", 0, \"LOSS\", fpath, paths, ksmooth=0, )\n",
    "loaders_csiborg2X = [csiborgtools.flow.DataLoader(\"csiborg2X\", i, \"LOSS\", fpath, paths, ksmooth=1, verbose=False) for i in range(20)]\n",
    "loaders_csiborg2 = [csiborgtools.flow.DataLoader(\"csiborg2_main\", i, \"LOSS\", fpath, paths, ksmooth=1, verbose=False) for i in range(20)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'loaders_csiborg2X' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[2], line 8\u001b[0m\n\u001b[1;32m      6\u001b[0m cols \u001b[38;5;241m=\u001b[39m plt\u001b[38;5;241m.\u001b[39mrcParams[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124maxes.prop_cycle\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mby_key()[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcolor\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[1;32m      7\u001b[0m \u001b[38;5;66;03m# CSiBORG2\u001b[39;00m\n\u001b[0;32m----> 8\u001b[0m x \u001b[38;5;241m=\u001b[39m \u001b[43mloaders_csiborg2X\u001b[49m[\u001b[38;5;241m0\u001b[39m]\u001b[38;5;241m.\u001b[39mrdist\n\u001b[1;32m      9\u001b[0m y \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39masarray([loaders_csiborg2[i]\u001b[38;5;241m.\u001b[39mlos_density[k, :] \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(\u001b[38;5;28mlen\u001b[39m(loaders_csiborg2X))])\n\u001b[1;32m     10\u001b[0m ylow, ymed, yhigh \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mpercentile(y, [\u001b[38;5;241m16\u001b[39m, \u001b[38;5;241m50\u001b[39m, \u001b[38;5;241m84\u001b[39m], axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m)\n",
      "\u001b[0;31mNameError\u001b[0m: name 'loaders_csiborg2X' is not defined"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x700 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ks = [i for i in range(50)]\n",
    "\n",
    "for k in ks:\n",
    "    fig, axs = plt.subplots(2, 1, figsize=(7, 7), sharex=True)\n",
    "    fig.subplots_adjust(wspace=0)\n",
    "    cols = plt.rcParams['axes.prop_cycle'].by_key()['color']\n",
    "    # CSiBORG2\n",
    "    x = loaders_csiborg2X[0].rdist\n",
    "    y = np.asarray([loaders_csiborg2[i].los_density[k, :] for i in range(len(loaders_csiborg2X))])\n",
    "    ylow, ymed, yhigh = np.percentile(y, [16, 50, 84], axis=0)\n",
    "    axs[0].fill_between(x, ylow, yhigh, color=cols[0], alpha=0.25)\n",
    "    axs[0].plot(x, ymed, color=cols[0], label=\"CSiBORG2\")\n",
    "\n",
    "    y = np.asarray([loaders_csiborg2[i].los_radial_velocity[k, :] for i in range(len(loaders_csiborg2X))])\n",
    "    ylow, ymed, yhigh = np.percentile(y, [16, 50, 84], axis=0)\n",
    "    axs[1].fill_between(x, ylow, yhigh, color=cols[0], alpha=0.25)\n",
    "    axs[1].plot(x, ymed, color=cols[0], label=\"CSiBORG2\")\n",
    "\n",
    "    # CSiBORG2X\n",
    "    x = loaders_csiborg2X[0].rdist\n",
    "    y = np.asarray([loaders_csiborg2X[i].los_density[k, :] for i in range(len(loaders_csiborg2X))])\n",
    "    ylow, ymed, yhigh = np.percentile(y, [16, 50, 84], axis=0)\n",
    "    axs[0].fill_between(x, ylow, yhigh, color=cols[1], alpha=0.25)\n",
    "    axs[0].plot(x, ymed, color=cols[1], label=\"CSiBORG2X\")\n",
    "\n",
    "    y = np.asarray([loaders_csiborg2X[i].los_radial_velocity[k, :] for i in range(len(loaders_csiborg2X))])\n",
    "    ylow, ymed, yhigh = np.percentile(y, [16, 50, 84], axis=0)\n",
    "    axs[1].fill_between(x, ylow, yhigh, color=cols[1], alpha=0.25)\n",
    "    axs[1].plot(x, ymed, color=cols[1], label=\"CSiBORG2X\")\n",
    "\n",
    "    # Plot Carrick+2015\n",
    "    axs[0].plot(loader_carrick.rdist, loader_carrick.los_density[k, :], color=\"red\", label=\"Carrick+2015\")\n",
    "    axs[1].plot(loader_carrick.rdist, loader_carrick.los_radial_velocity[k, :] * 0.43, color=\"red\")\n",
    "\n",
    "\n",
    "    axs[1].set_xlabel(r\"$r ~ [\\mathrm{Mpc} / h]$\")\n",
    "    axs[0].set_ylabel(r\"$\\rho_{\\rm LOS} / \\langle \\rho_{\\rm matter} \\rangle$\")\n",
    "    axs[1].set_ylabel(r\"$v_{\\rm LOS} ~ [\\mathrm{km/s}]$\")\n",
    "    axs[0].set_yscale(\"log\")\n",
    "\n",
    "    axs[0].legend(loc=\"upper right\")\n",
    "    axs[0].set_xlim(0, 200)\n",
    "\n",
    "    fig.tight_layout(w_pad=0, h_pad=0)\n",
    "    fig.savefig(f\"../../plots/LOSS_los_{k}.png\", dpi=500, bbox_inches=\"tight\")\n",
    "\n",
    "    fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Test running a model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2024-06-26 08:49:16.604687:   reading the catalogue,\n",
      "2024-06-26 08:49:16.612221:   reading the interpolated field,\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2024-06-26 08:49:16.629812:   calculating the radial velocity.\n",
      "2024-06-26 08:49:16.637461:   reading the catalogue,\n",
      "2024-06-26 08:49:16.645362:   reading the interpolated field,\n",
      "2024-06-26 08:49:16.690361:   calculating the radial velocity.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/mnt/users/rstiskalek/csiborgtools/csiborgtools/flow/flow_model.py:91: UserWarning: The number of radial steps is even. Skipping the first step at 0.0 because Simpson's rule requires an odd number of steps.\n",
      "  warn(f\"The number of radial steps is even. Skipping the first \"\n"
     ]
    }
   ],
   "source": [
    "fpath_data = \"/mnt/extraspace/rstiskalek/catalogs/PV_compilation.hdf5\"\n",
    "# fpath_data = \"/mnt/extraspace/rstiskalek/catalogs/A2.h5\"\n",
    "# fpath_data = \"/mnt/extraspace/rstiskalek/catalogs/PV_mock_CB2_17417_large.hdf5\"\n",
    "\n",
    "simname = \"csiborg2X\"\n",
    "catalogue = \"LOSS\"\n",
    "loader = csiborgtools.flow.DataLoader(simname, [0], catalogue, fpath_data, paths, ksmooth=0, )\n",
    "loader_mult = csiborgtools.flow.DataLoader(simname, [0, 0, 0, 0, 0], catalogue, fpath_data, paths, ksmooth=0, )\n",
    "\n",
    "\n",
    "SN_hyperparams = {\"e_mu_mean\": 0.1, \"e_mu_std\": 0.05, \n",
    "                  \"mag_cal_mean\": -18.25, \"mag_cal_std\": 0.5,\n",
    "                  \"alpha_cal_mean\": 0.148, \"alpha_cal_std\": 0.05,\n",
    "                  \"beta_cal_mean\": 3.112, \"beta_cal_std\": 1.0,\n",
    "                  }\n",
    "calibration_hyperparams = {\"Vext_std\": 250,\n",
    "                           \"alpha_mean\": 1.0, \"alpha_std\": 0.5,\n",
    "                           \"beta_mean\": 1.0, \"beta_std\": 0.5,\n",
    "                           \"sigma_v_mean\": 150., \"sigma_v_std\": 100.,\n",
    "                           \"sample_alpha\": True, \"sample_beta\": True,\n",
    "                           }\n",
    "get_model_kwargs = {\"zcmb_max\": 0.05}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Running HMC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Selected 50/50 galaxies.\n",
      "Selected 50/50 galaxies.\n"
     ]
    }
   ],
   "source": [
    "model = csiborgtools.flow.get_model(loader, **get_model_kwargs)\n",
    "model_mult = csiborgtools.flow.get_model(loader_mult, **get_model_kwargs)\n",
    "model_kwargs = {\"distmod_hyperparams\": SN_hyperparams, \"calibration_hyperparams\": calibration_hyperparams,}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "sample: 100%|██████████| 1000/1000 [01:12<00:00, 13.84it/s, 7 steps of size 3.69e-01. acc. prob=0.90]  \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "                 mean       std    median      5.0%     95.0%     n_eff     r_hat\n",
      "    Vext[0]     52.11     78.33     51.46    -79.62    181.68    411.62      1.00\n",
      "    Vext[1]    118.56    115.94    119.97    -59.27    312.47    324.37      1.00\n",
      "    Vext[2]     -4.41    159.70    -12.18   -261.86    252.69    255.23      1.02\n",
      "      alpha      0.50      0.35      0.49     -0.02      1.07    185.82      1.00\n",
      "  alpha_cal      0.13      0.02      0.13      0.10      0.17    551.23      1.01\n",
      "       beta      1.11      0.36      1.15      0.52      1.66    197.49      1.00\n",
      "   beta_cal      3.56      0.23      3.56      3.16      3.90    262.57      1.00\n",
      "       e_mu      0.08      0.03      0.08      0.04      0.12    248.50      1.00\n",
      "    mag_cal    -18.18      0.04    -18.19    -18.25    -18.12    313.96      1.04\n",
      "    sigma_v    216.41     75.53    212.88     94.54    333.95    187.59      1.00\n",
      "\n",
      "Number of divergences: 0\n"
     ]
    }
   ],
   "source": [
    "kernel = NUTS(model, init_strategy=init_to_median(num_samples=100))\n",
    "mcmc = MCMC(kernel, num_warmup=500, num_samples=500)\n",
    "\n",
    "rng_key = jax.random.PRNGKey(5)\n",
    "mcmc.run(rng_key, extra_fields=(\"potential_energy\",), **model_kwargs)\n",
    "mcmc.print_summary()\n",
    "samples = mcmc.get_samples()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "from numpyro.infer import log_likelihood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "ll_single = log_likelihood(model, samples, **model_kwargs)[\"ll\"]\n",
    "ll_mult = log_likelihood(model_mult, samples, **model_kwargs, )[\"ll\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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       "       0., 0., 0., 0., 0., 0., 0.], dtype=float32)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ll_single - ll_mult"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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       "       -374.3098 , -372.58917, -373.61246, -376.50525, -376.5714 ,\n",
       "       -374.68048, -375.     , -375.02234, -377.66193, -379.3037 ,\n",
       "       -378.351  , -375.5417 , -378.686  , -376.46448, -377.3991 ,\n",
       "       -376.28412, -379.40198, -374.2234 , -372.92682, -376.41956],      dtype=float32)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Array([391.9341 , 392.08212, 391.02206, 389.15616, 398.34534, 398.74045,\n",
       "       394.00363, 394.9679 , 392.753  , 392.53403, 390.58237, 389.0428 ,\n",
       "       390.0239 , 393.4534 , 392.26123, 390.88834, 389.4346 , 388.27728,\n",
       "       388.42407, 390.7624 , 393.82834, 396.3672 , 393.64532, 392.78622,\n",
       "       394.62543, 392.79187, 394.0692 , 394.19113, 393.68393, 393.9558 ,\n",
       "       394.51782, 394.80338, 394.38104, 392.66638, 392.84058, 393.24478,\n",
       "       394.0837 , 394.68433, 390.162  , 392.5648 , 390.56827, 394.7597 ,\n",
       "       394.33154, 393.9468 , 391.83417, 394.58472, 394.23224, 391.1751 ,\n",
       "       391.31418, 399.5129 , 394.8937 , 393.32156, 389.23395, 389.13815,\n",
       "       389.2338 , 390.08365, 392.15442, 391.80756, 396.48865, 392.57013,\n",
       "       392.00992, 392.81107, 391.49927, 391.80618, 395.6378 , 393.09927,\n",
       "       392.07812, 389.32758, 391.35922, 393.24258, 393.46533, 391.42642,\n",
       "       390.91577, 390.9773 , 389.37076, 392.87485, 393.59995, 393.8794 ,\n",
       "       394.30118, 392.2907 , 390.15256, 390.99207, 391.33752, 390.59207,\n",
       "       394.78662, 393.71133, 395.89343, 397.57526, 394.3614 , 395.2866 ,\n",
       "       400.6802 , 393.19537, 392.35477, 395.25443, 391.1807 , 392.4784 ,\n",
       "       394.2002 , 390.61996, 393.63477, 394.57047, 396.10788, 393.12854,\n",
       "       394.32095, 396.66772, 394.04712, 391.67096, 391.37128, 389.3575 ,\n",
       "       389.4813 , 392.70554, 391.0798 , 391.58707, 391.3387 , 392.6452 ,\n",
       "       391.1168 , 391.28464, 389.49527, 391.098  , 390.07748, 391.25574,\n",
       "       392.2501 , 392.58688, 393.03354, 391.07687, 392.5799 , 390.90054,\n",
       "       389.83463, 389.98987, 392.46228, 390.82193, 393.27582, 393.54163,\n",
       "       392.20618, 388.82373, 390.24686, 391.1798 , 390.0974 , 391.47324,\n",
       "       396.02036, 393.31866, 394.73904, 393.04593, 396.20193, 392.5486 ,\n",
       "       392.00214, 396.90887, 394.09827, 391.98636, 391.64633, 392.54788,\n",
       "       390.28278, 391.5285 , 391.0113 , 390.20108, 391.2806 , 391.9383 ,\n",
       "       394.31247, 392.9718 , 395.74432, 395.6111 , 396.32532, 396.84842,\n",
       "       394.43015, 396.00247, 402.50272, 392.72025, 391.83334, 392.79337,\n",
       "       396.3226 , 401.59814, 397.6963 , 395.19052, 394.43784, 392.80142,\n",
       "       390.1531 , 389.4234 , 389.03558, 389.0597 , 392.2272 , 390.56104,\n",
       "       394.64798, 391.2173 , 392.151  , 388.85483, 393.61578, 395.56732,\n",
       "       396.60648, 393.86707, 392.8924 , 392.639  , 393.36166, 394.42212,\n",
       "       392.52884, 393.4237 , 394.6955 , 392.98947, 392.58792, 394.54013,\n",
       "       395.2757 , 394.46317, 396.52585, 393.2268 , 391.0806 , 390.68488,\n",
       "       390.83286, 393.68234, 391.00925, 389.52612, 392.32867, 391.63733,\n",
       "       392.44458, 397.25595, 392.09634, 394.46027, 392.6832 , 393.11966,\n",
       "       392.70135, 392.94568, 390.5427 , 391.2181 , 390.14978, 393.05313,\n",
       "       392.1329 , 395.2773 , 390.55872, 389.75958, 392.8294 , 390.34613,\n",
       "       390.57422, 393.61807, 393.4588 , 392.6946 , 393.0386 , 390.5007 ,\n",
       "       391.86188, 392.18567, 393.70074, 391.2875 , 389.60342, 390.3574 ,\n",
       "       392.36462, 396.8469 , 395.1043 , 393.78467, 392.90707, 394.79532,\n",
       "       392.64337, 392.04562, 391.07858, 393.60815, 399.3589 , 395.53397,\n",
       "       392.84903, 392.6835 , 391.1862 , 391.29715, 393.18088, 396.14114,\n",
       "       396.67612, 394.8662 , 395.70645, 393.47675, 396.14685, 395.2865 ,\n",
       "       391.64557, 392.49634, 393.31058, 395.3479 , 390.1821 , 392.41928,\n",
       "       391.62433, 394.0529 , 392.24847, 391.0419 , 391.29785, 392.43967,\n",
       "       391.05963, 392.9988 , 390.8053 , 391.57315, 392.09854, 396.18353,\n",
       "       393.75366, 393.8414 , 391.85266, 396.80035, 394.54794, 399.54883,\n",
       "       393.41476, 390.52176, 392.8705 , 390.99615, 391.3205 , 392.70792,\n",
       "       392.3243 , 389.38223, 392.36218, 392.93887, 393.47202, 391.486  ,\n",
       "       390.32257, 390.8464 , 389.24442, 393.06158, 390.1328 , 394.20773,\n",
       "       392.92813, 391.93857, 393.84244, 393.34424, 392.4594 , 392.7215 ,\n",
       "       389.22064, 390.21176, 390.24298, 390.88086, 388.82172, 390.49158,\n",
       "       390.16858, 392.40662, 393.3886 , 394.6822 , 393.8078 , 396.0063 ,\n",
       "       393.62537, 392.98868, 395.08075, 394.6271 , 389.055  , 390.7642 ,\n",
       "       390.36136, 394.7984 , 389.74716, 392.25842, 392.42697, 393.6167 ,\n",
       "       390.31824, 391.90237, 399.44983, 393.19128, 393.52548, 392.53802,\n",
       "       390.68805, 391.63797, 396.24985, 394.57785, 392.13458, 390.36664,\n",
       "       390.1804 , 390.89145, 395.8922 , 396.92868, 390.8619 , 391.1419 ,\n",
       "       392.4267 , 393.0737 , 397.35675, 398.8355 , 396.29037, 391.05008,\n",
       "       389.4605 , 391.93326, 391.39075, 390.61874, 394.65973, 394.07922,\n",
       "       394.02365, 397.24677, 397.92264, 392.71225, 393.26868, 392.57773,\n",
       "       389.75055, 391.72717, 392.82794, 390.9369 , 392.5645 , 391.68805,\n",
       "       393.5547 , 392.33005, 389.79407, 396.49945, 393.72034, 393.51117,\n",
       "       392.1612 , 390.8545 , 390.19092, 389.54028, 390.081  , 393.38885,\n",
       "       389.43814, 391.40814, 392.77875, 390.07477, 389.34094, 390.62073,\n",
       "       391.42688, 396.5186 , 397.25574, 388.39703, 391.31366, 398.72787,\n",
       "       391.05505, 392.2018 , 391.27768, 393.10678, 395.05096, 393.76315,\n",
       "       392.66342, 392.51956, 390.97275, 390.50626, 393.93262, 391.706  ,\n",
       "       390.8292 , 394.87894, 393.27704, 390.10495, 389.4763 , 388.9353 ,\n",
       "       388.51953, 388.58496, 389.6656 , 394.77295, 391.35245, 391.1977 ,\n",
       "       391.07584, 391.1299 , 390.0027 , 392.0007 , 392.77393, 392.88647,\n",
       "       388.6409 , 392.9662 , 390.44272, 391.4916 , 389.46524, 392.48782,\n",
       "       391.1928 , 391.6972 , 392.49786, 397.5695 , 391.7954 , 391.18668,\n",
       "       394.03104, 391.3363 , 393.5302 , 391.74683, 389.46597, 389.0724 ,\n",
       "       395.04776, 395.0067 , 394.68988, 392.55582, 391.55222, 391.8968 ,\n",
       "       392.51648, 389.999  , 390.82315, 391.85864, 397.0075 , 393.12473,\n",
       "       394.1504 , 388.86996, 390.43127, 393.28723, 394.8042 , 394.32358,\n",
       "       394.70056, 394.62448, 393.04788, 391.87747, 392.00067, 390.53983,\n",
       "       390.52933, 390.52118, 391.3734 , 389.67596, 391.80765, 391.9735 ,\n",
       "       388.86786, 389.31982, 389.36093, 390.76718, 393.16095, 392.73416,\n",
       "       392.00232, 391.61856, 394.8812 , 398.4053 , 398.8124 , 393.909  ,\n",
       "       399.0349 , 393.04034, 390.39853, 390.08875, 389.0157 , 388.95517,\n",
       "       392.23053, 390.5207 ], dtype=float32)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mcmc.get_extra_fields()[\"potential_energy\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(774.734619140625, 755.6143798828125)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "samples = mcmc.get_samples()\n",
    "csiborgtools.numpyro_gof(model, mcmc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Reading LOSS fitted to Carrick2015 with ksmooth = 0.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BIC  = 773.225037 +- 0.000000\n",
      "AIC  = 754.104797 +- 0.000000\n",
      "logZ = -356.240234 +- 0.000000\n",
      "chi2 = 1.207006 +- 0.228673\n"
     ]
    }
   ],
   "source": [
    "data, names, __ = read_samples(\"LOSS\", \"Carrick2015\", 0, return_MCsamples=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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kU2GkoqJC8+fP1+nTpxUfH69Jkybp7bff1g9+8ANJ0qlTpzRo0Lc3W7KysrRlyxY9+uijeuSRRzR69Gjt3LlTEyZM6NlvAQAA+ixTYeTll18Oenzfvn3t9s2dO1dz5841VRQAABg4WJsGAABYijACAAAsRRgBAACWIowAAABLEUYAAIClCCMAAMBShBEAAGApwggAALAUYQQAAFiKMAIAACxFGAEAAJYijAAAAEuZWigPANBFlcc73dTujuzFQoDwQxgBgN4UPVSyR0vbF3b6lNGDnRquZ3qxKCC8EEYAoDclpEu5H0r1ZzvXvvK4Bm1fqETbud6tCwgjhBEA6G0J6a0vAH7RgRUAAFiKMAIAACxFGAEAAJYijAAAAEsRRgAAgKUIIwAAwFKEEQAAYCnCCAAAsBRhBAAAWIowAgAALEUYAQAAliKMAAAASxFGAACApQgjAADAUqbCSEFBga6//noNGTJEycnJmjNnjo4dOxb0nM2bN8tms/m8oqKiulU0AOuUVnv0aWlN26v4jFuSVHzGreIKt8XVAeiLBptpvH//fuXm5ur666/X+fPn9cgjj+iHP/yhPvvsM8XExAQ8Ly4uzie02Gy2rlcMoFtKqz2qqmsMeDwxJlJpCc6A5+as2i9PU3PbvvG2E9rlkBYXFumoUSOnPUKJMZE9XjeA/stUGHnrrbd8tjdv3qzk5GQdPnxY3/ve9wKeZ7PZlJqa2rUKAfQYf2HiUk57hPYszfYbSKrqGuVpataaeRlyJcdKkqIq46Ud0to7MtSQNDFomAEAf0yFkUvV1NRIki677LKg7dxut0aOHKmWlhZde+21evrppzV+/PiA7b1er7xeb9t2bW1td8oE8A1/YeJixRVuLdlapKq6xqCBwpUcqwlp8a0bttb3cV0eKw2P75W6ByKXrVRRlUfa/vsGFT1USkjv/aKAXtLlMNLS0qIlS5boxhtv1IQJEwK2Gzt2rF555RVNmjRJNTU1evbZZ5WVlaWjR49qxIgRfs8pKCjQsmXLuloagA74hAmEl+ihahns1Fq9IO14oXPn2KOl3A8JJOizuhxGcnNz9emnn+r9998P2i4zM1OZmZlt21lZWRo3bpxefPFFLV++3O85+fn5ysvLa9uura1Vejo/ZAAGgIR0/Wnuu8rb/K7W3pHRescpmMrj0vaFUv1Zwgj6rC6FkUWLFumNN97Qe++9F/DuRiB2u11TpkxRcXFxwDYOh0MOh6MrpQFAn9cUm6ajxig1JE3k0RcGBFNDew3D0KJFi7Rjxw69++67GjVqlOkPbG5u1pEjRzRs2DDT5wIAgP7H1J2R3NxcbdmyRa+//rqGDBmisrIySVJ8fLycztbObvPnz1daWpoKCgokSU8++aRuuOEGuVwuVVdXa+XKlTp58qTuu+++Hv4qAACgLzIVRtavXy9Juummm3z2/9u//ZvuvvtuSdKpU6c0aNC3N1yqqqq0cOFClZWVKTExUVOnTtWBAwd0zTXXdK9yAADQL5gKI4ZhdNhm3759PturV6/W6tWrTRUFAAAGjm7NMwIA6D0dTa+fGBOptBDVAvQmwggAhJnEmEg57RFasrUoaDunPUL770pUcmjKAnoNYQQAwkxaglN7lmYHXUPowmy5tZ4mwgj6PMIIgHYCPR5gVd7QSUtwssYPBgzCCIA2nXk8wKq8AHoaYQRAm848HmBVXgA9jTACwAePBwCEmqnp4AEAAHoaYQQAAFiKMAIAACxFGAEAAJYijAAAAEsRRgAAgKUIIwAAwFKEEQAAYCnCCAAAsBRhBAAAWIowAgAALEUYAQAAliKMAAAAS7FqLwD0YSVfe+SSVHzGrQajxudYYkwkKzCjTyCMAPCvukSqP9txu8rjvV8L2kmMiZTTHqFn3zmmmx3S4sIiHb0kjDjtEdqzNJtAgrBHGAHQXnWJtG6a1FTfufb2aCl6aO/WBB9pCU7tWZotz8lYaYe09o4MNSRNbDteXOHWkq1FqqprJIwg7BFGALRXf7Y1iNy+SUoa03H76KFSQnrv1wUfaQlOqT5WkuS6PFYaHm9xRUDXEEYABJY0RhqeYXUV6IxLHpdFVbo13nZCUZXxki3Wty3hEWGGMAIAfVn00NbHZNsX+ux2SdrlkLTDzzn2aCn3QwIJwgZhBAD6soT01mBxSWfj4jNuLS4s0to7Mlof4VxQebw1uNSfJYwgbBBGAKCvS0hvFywajBodNWpaO7XSlwRhjknPAACApbgzAgwU1SWKqjwZuFPjxZg7BEAImQojBQUF2r59uz7//HM5nU5lZWXpmWee0dixY4Oet23bNj322GP68ssvNXr0aD3zzDOaNWtWtwoHYMI384a4muoDd2q8FHOHAAgRU2Fk//79ys3N1fXXX6/z58/rkUce0Q9/+EN99tlniomJ8XvOgQMHdOedd6qgoEA/+tGPtGXLFs2ZM0cff/yxJkyY0CNfAkAHvpk3pOTmtbr/LXf7To3+MPwTQIiYCiNvvfWWz/bmzZuVnJysw4cP63vf+57fc9auXatbbrlFDz74oCRp+fLl2r17t55//nlt2LChi2UD6ApvgotOjQDCTrc6sNbUtK6DcNlllwVsc/DgQeXk5PjsmzFjhg4ePBjwHK/Xq9raWp8XAADon7ocRlpaWrRkyRLdeOONQR+3lJWVKSUlxWdfSkqKysrKAp5TUFCg+Pj4tld6OreKAQDor7ocRnJzc/Xpp5+qsLCwJ+uRJOXn56umpqbtVVJS0uOfAQAAwkOXhvYuWrRIb7zxht577z2NGDEiaNvU1FSVl5f77CsvL1dqamrAcxwOhxwOR1dKAwAAfYypOyOGYWjRokXasWOH3n33XY0aNarDczIzM7V3716ffbt371ZmZqa5SgEAQL9k6s5Ibm6utmzZotdff11Dhgxp6/cRHx8vp9MpSZo/f77S0tJUUFAgSVq8eLGys7O1atUqzZ49W4WFhTp06JA2btzYw18FAAD0RabujKxfv141NTW66aabNGzYsLbX1q1b29qcOnVKp0+fbtvOysrSli1btHHjRk2ePFmvvfaadu7cyRwjAABAksk7I4ZhdNhm37597fbNnTtXc+fONfNRAABggGChPAAAYCnCCAAAsBRhBAAAWIowAgAALEUYAQAAliKMAAAASxFGAACApQgjAADAUoQRAABgKcIIAACwFGEEAABYijACAAAsZWqhPABA31Jc4fbZjqp0yyWp+IxbzmiP0hKc1hQGXIQwAgD9UGJMpJz2CC3ZWuSzf7zthHY5pMWFRfpisFt7lmYTSGA5wggA9ENpCU7tWZqtqrpGn/1RlfHSDumffjhW97zdqKq6RsIILEcYAfqZ0mqPnz9ArbfmS772WFMULJGW4GwfNGyxkqT0y5ySGtufBFiAMAL0I6XVHuWs2i9PU7PP/gu35p9955icdpcSYyItqhAA2iOMAP1IVV2jPE3NWjMvQ67k2Lb9F27Nr70jQ86RU7ktDyCsEEaAfsiVHKsJafHf7vjm1rzr8liJIAIgzDDPCAAAsBRhBAAAWIrHNEBfVV0i1Z/12RVV6dZ424nWPiK2b/uMqPJ4iIsDgM4jjAB9UXWJtG6a1FTvs9slaZdD0g4/59ijpeihoagOAEwhjAB9Uf3Z1iBy+yYpaUzb7uIzbi0uLNLaOzJaO6teLHqolJAe4kIBoGOEEaAvSxojDc9o22wwanTUqFFD0kRpeHzg8wAgjNCBFQAAWIowAgAALEUYAQAAliKMAAAASxFGAACApUyHkffee0+33nqrhg8fLpvNpp07dwZtv2/fPtlstnavsrKyrtYMAAD6EdNhpK6uTpMnT9a6detMnXfs2DGdPn267ZWcnGz2owEAQD9kep6RmTNnaubMmaY/KDk5WQkJCabPAwAA/VvIJj3LyMiQ1+vVhAkT9Ktf/Uo33nhjwLZer1der7dtu7a2NhQlAsCA4agu1nibu/06Rv4wey96Wa+HkWHDhmnDhg267rrr5PV69dJLL+mmm27S//zP/+jaa6/1e05BQYGWLVvW26UBwMATPVSyRyv9vxcHXsfoUvZoKfdDAgl6Ta+HkbFjx2rs2LFt21lZWfrzn/+s1atX67e//a3fc/Lz85WXl9e2XVtbq/R0fgiA0mqPquoaFVXplkuta9E0GDVtx4sr3NYVh74hIV3K/VDFJ08GXsfoYpXHpe0LW9dDIoygl1iyNs20adP0/vvvBzzucDjkcDhCWBEQ/kqrPcpZtV+epmaNt53QLoe0uLBIRy8KI5LktEcoMSbSoirRJySkq6EujnWMEDYsCSNFRUUaNmyYFR8N9FlVdY3yNDVrzbwMTRgUL+2Q1t6R0frH5CKJMZFKS3BaVCUAmGc6jLjdbhUXF7dtnzhxQkVFRbrssst0xRVXKD8/X6Wlpfr3f/93SdKaNWs0atQojR8/Xg0NDXrppZf07rvv6p133um5bwEMIK7kWLm+6XDoujyWf9UC6PNMh5FDhw7p5ptvbtu+0LdjwYIF2rx5s06fPq1Tp061HW9sbNTSpUtVWlqq6OhoTZo0SXv27PF5DwAAMHCZDiM33XSTDMMIeHzz5s0+2w899JAeeugh04UBAICBgbVpAACApQgjAADAUoQRAABgKcIIAACwFGEEAABYijACAAAsRRgBAACWIowAAABLEUYAAIClCCMAAMBShBEAAGApwggAALCU6YXyAAD9R3GFO+CxxJhIpYWwFgxchBEAGIASYyLltEdoydaigG2c9gjtvytRyaErCwMUYQQII6XVHlXVNfo9FuxfsIBZaQlO7VmaHfT/tyVbi1TraSKMoNcRRoAwUVrtUc6q/fI0NQds47RHKDEmUqoPYWHot9ISnEpLcFpdBkAYAcJFVV2jPE3NWjMvQ67kWL9tEmMiW/94EEYA9COEESDMuJJjNSEt3uoyACBkGNoLAAAsRRgBAACWIowAAABLEUYAAICl6MAKhBDziABAe4QRIERMzSMCAAMIYQQIEVPziADAAEIYAUKMeUQAwBcdWAEAgKUIIwAAwFI8pgHCRXWJVH+2c20rj/duLQAQQoQRIBxUl0jrpklNJlbAs0dL0UN7ryYACBHTYeS9997TypUrdfjwYZ0+fVo7duzQnDlzgp6zb98+5eXl6ejRo0pPT9ejjz6qu+++u4slA/1Q/dnWIHL7JilpTOfOiR4qJaT3bl0AEAKmw0hdXZ0mT56sv/u7v9Ptt9/eYfsTJ05o9uzZuv/++/Xqq69q7969uu+++zRs2DDNmDGjS0UD/VbSGGl4htVVAEBImQ4jM2fO1MyZMzvdfsOGDRo1apRWrVolSRo3bpzef/99rV69mjACAAB6v8/IwYMHlZOT47NvxowZWrJkScBzvF6vvF5v23ZtbW1vlQcACKLka49ckorPuNVg1PgcY5I+9JReDyNlZWVKSUnx2ZeSkqLa2lp5PB45ne3/Ry4oKNCyZct6uzQAQACJMZFy2iP07DvHdLNDWlxYpKOXhBGnPUJ7lmYTSNBtYTmaJj8/X3l5eW3btbW1Sk+nox4AhEpaglN7lmbLczJW2iGtvSNDDUkT244XV7i1ZGuRquoaCSPotl4PI6mpqSovL/fZV15erri4OL93RSTJ4XDI4XD0dmkAgCDSEpxSfes6Sq7LY6XhLGOA3tHrM7BmZmZq7969Pvt2796tzMzM3v5oAADQB5gOI263W0VFRSoqKpLUOnS3qKhIp06dktT6iGX+/Plt7e+//3598cUXeuihh/T555/rhRde0O9+9zs98MADPfMNAABAn2Y6jBw6dEhTpkzRlClTJEl5eXmaMmWKHn/8cUnS6dOn24KJJI0aNUq7du3S7t27NXnyZK1atUovvfQSw3oBAICkLvQZuemmm2QYRsDjmzdv9nvOJ598YvajAADAAMCqvQAAwFJhObQX6KtKqz2qqmv0e6y4wh3iagCgbyCMAD2ktNqjnFX75WlqDtjGaY9QYkxkCKsCekjlcZ/NqEq3xttOKKoyXrLF+rZlEUeYRBgBekhVXaM8Tc1aMy9DruRYv22YPht9TvRQyR4tbV/os9slaZdD0g4/59ijpdwPCSToNMII0MNcybGakMbkUOgnEtJbg0X9WZ/dxWfcWlxYpLV3ZLROiHZB5fHW4FJ/ljCCTiOMAACCS0hvFywajBodNWpap4hnZlZ0E6NpAACApbgzAnRWdUm7W9UXa9ehj058ANAphBGgM6pLpHXTpKb6gE3adeijEx8AdAphBOiM+rOtQeT2TVLSGL9NfDr02b5q7cR36mDQuyltLhk2CQADCWEEMCNpjDQ8w+8hnw59MSP9DocMyh7d+mgHAAYYwgjQGwIMhwyKPiYABijCCNBb/AyHBAC0x9BeAABgKcIIAACwFGEEAABYijACAAAsRRgBAACWYjQNAKDLiivcPttRlW651DoJYINRo8SYSKUlOK0pDn0GYQQAYFpiTKSc9ggt2Vrks3+87YR2OaTFhUU6atTIaY/QnqXZBBIERRgBAJiWluDUnqXZqqpr9NkfVRkv7ZDW3pGhT1tGacnWIlXVNRJGEBRhBADQJWkJzvYhwxYrSXJdHqsGI9aCqtAX0YEVAABYijACAAAsxWMaAEDPqzyuKMOt8bYTrf1IbEEe2bBI5IBHGAG+UVrtadcZ74ILwxUr3F4lh7YsoG+JHirZo6XtC+WStMshaUcH59ijW1e5JpAMWIQRQK1BJGfVfnmamv0evzBc8f/89rD+dekkRgYAgSSktwaL+rMqPuPW4sIirb0jQ67LA9wZqTwubV8o1Z8ljAxghBFAUlVdozxNzVozL0Ou5Pa/NC8MV2w438IwRaAjCelSQroajBodNWrUkDRRGh5vdVUIY4QR4CKu5FhNSPPzSzPY824AQLcQRgCTLp3+uqP9AIDguhRG1q1bp5UrV6qsrEyTJ0/Wc889p2nTpvltu3nzZt1zzz0++xwOhxoaGrry0YClogYPajf99cWc9gglxkSGriAA6AdMh5GtW7cqLy9PGzZs0PTp07VmzRrNmDFDx44dU3Ky/3EGcXFxOnbsWNu2zWbresWAhdbfNVUVMVcHPM6iYABgnukw8i//8i9auHBh292ODRs2aNeuXXrllVf08MMP+z3HZrMpNTW1e5UCYSA51qFkOuIBQI8yNQNrY2OjDh8+rJycnG/fYNAg5eTk6ODBgwHPc7vdGjlypNLT03Xbbbfp6NGjQT/H6/WqtrbW5wUAAPonU2GksrJSzc3NSklJ8dmfkpKisrIyv+eMHTtWr7zyil5//XX9x3/8h1paWpSVlaW//OUvAT+noKBA8fHxba/0dMaeAwDQX/X6aJrMzExlZma2bWdlZWncuHF68cUXtXz5cr/n5OfnKy8vr227traWQIJuCzbDKiNhAMA6psJIUlKSIiIiVF5e7rO/vLy8031C7Ha7pkyZouLi4oBtHA6HHA6HmdKAoDqaYVViJAxgqcrjnW/LWjb9jqkwEhkZqalTp2rv3r2aM2eOJKmlpUV79+7VokWLOvUezc3NOnLkiGbNmmW6WKCrOpphVWIkDNBbgt15TGqOUeo3a9l0GmvZ9DumH9Pk5eVpwYIFuu666zRt2jStWbNGdXV1baNr5s+fr7S0NBUUFEiSnnzySd1www1yuVyqrq7WypUrdfLkSd133309+02ATgg4wyqAHpcYEymnPaLDuXn+e+F7Sh1c17k3ZS2bfsl0GJk3b57OnDmjxx9/XGVlZcrIyNBbb73V1qn11KlTGjTo236xVVVVWrhwocrKypSYmKipU6fqwIEDuuaaa3ruWwAAwk5aglN7lmYH7au1ZGuRKiOSlcqQ+QGtSx1YFy1aFPCxzL59+3y2V69erdWrV3flYwAAfVxagpPHn+iQqaG9AAAAPY0wAgAALMWqvRi4qktaO8F1hplhhwAAUwgjGJiqS6R106Sm+s6fY49und8AANCjCCMYmOrPtgaR2zdJSWM6dw4TLQFAryCMYGBLGiMNz7C6CgAY0AgjAABLBZuhlZmRBwbCCPqNslN/kruq3O+xM197NN52QlGV8ZItlg6pQBjo7Ayte5ZmE0j6OcII+oWyU39S3Ms3KtXm9XvcJelmh6QdF+2kQypgqc7O0FpV10gY6ecIIwgbpdWegL+UpOC3a91V5Uq1eXXo2meUMHKC3zZxTruSYy9aDZoOqYDlmKEVEmEEYaK02qOcVfvlaWoO2MZpj9CGu6ZqaExku2NnvvbIJSlh5AS5Jn+nFysFAPQ0wgjCQlVdozxNzVozL0Ou5Nh2x8/WNer+3x7Wglc+9Hv+eNsJ3exovfsBAOhbCCMIK67kWE1I8796Z7Bny1GV8dIO+T6GAQD0CYQR9BlBny3b2t9NAQD0DSyUBwAALEUYAQAAliKMAAAASxFGAACApejACgAIaxevXRNV6ZZLUvEZtxqMGtau6ScII+i66hKp/mzn25ud8dTM+7PWDNDv+Fu7ZrzthHY5pOe27lKxUaSowYO0/q6pwYf1M9ty2COMoGuqS6R106Sm+s6fY4+Wcj/s3C+Frr4/a80A/Ya/tWvs7lFq2ebUWr3wbcMtHbyRmd89sARhBN8yeyeiqV66fZOUNKZz7bcvbH3/zvxCqD9r7v0l/vUD9EPt5xeKlxZ9JNWfVfEZtxYXFmntHRlyXR5griGzv3tgCcIIWnX1TsQVmZ36Aa9we5Wsb5/zXuriZ8I+ksZIwzM6XxOA/i8hXUpIV4NRo6NGjT5tGaUGw38YSY5q/d2D8EYYQatevBNRWu3RP/72sP5vhLS4sEhH/YQRqXUhvEQ/i+ABgD/++pRcaqr9pP5vROhqQtcQRvqS3u4wKvXKnYiqukY1nG+RIqS1d2SoIWmi33b0igdghr8+JRcrrnBr0+9OSBHq3U7uPCLuNsJIX9HNDqOl1Z6AP7BS++Fyl+qpoOC6PFYa7n8hPAAwK+iaVZKqjCFqGezUoO0Le68IOsh2G2GkrzD7GOVCp61TB1VR8ZX+8beHW+9OBOCylWptZODHKE57hPYszQ74Qx8s7Pj0B+nsv04YqgugB3ylJP1p7rsaOyTwP8Yq3F7VepoCHo9z2gMPHaaDbI8gjPQ1nX2MEj20Na1vX6hkqfWZaQfPTVsGO/Uvd35fTbFpPvuLK9xasrVIVXWNfsNIabVHOav2y9PUHPC9r7QnmP/XCUN1AfSAP9bHqynWfwfXs3WNuv+3h4P+/uroH2PoPsJIMKHoo9EJpdUeec4Ef4zSXpzs/3uvIhq+VsnXHj37zrHgw98kDYoeqrFB6g804qW4wi1PU7PWzMuQK9n/+yfGRGqQssPivyeAgaEzHVyl1rDxm7+bpqF+OtB39I8x9AzCSCC9PalXJ12463Dl+WLtcgQfjRKM0+6Sc+RUqQs/TJ35gXbaI3T9qMs6+GFNJ1wACJmOOrheQOd563UpjKxbt04rV65UWVmZJk+erOeee07Tpk0L2H7btm167LHH9OWXX2r06NF65plnNGvWrC4XHRIm+mhUuL3ynv6j0v97sYpPnlRDXZzP8e78j15V1yhPU7P+acZYaX/w0SjBdKeGzvxA88MMIBx11MEV4cF0GNm6davy8vK0YcMGTZ8+XWvWrNGMGTN07NgxJSe3n1rmwIEDuvPOO1VQUKAf/ehH2rJli+bMmaOPP/5YEyZM6JEv0R2BOl5eGF1SETVSyUH6aJRWe5Szfr+uPO8OeOfCaY/QhrumtrsFaHeXKqLh66Cdo6Iq3RpvOyHXoNbHH1aNRuEHGgACK/lTkbxn/D/Kbvc7nkfQ7dgMwzDMnDB9+nRdf/31ev755yVJLS0tSk9P1z/8wz/o4Ycfbtd+3rx5qqur0xtvvNG274YbblBGRoY2bNjQqc+sra1VfHy8ampqFBcX1/EJnRSs42XrYky/1P9qLtC/Lr0n4B/iT0tr9KPn3te/zYjUzfv/t4r/dpfPnYtAnaOGq1J7HA8q2ubtfMEMHwOAkLrwOz5Qnzh3xZeatPMHYf+7vKPpHXrr7nZn/36bujPS2Niow4cPKz8/v23foEGDlJOTo4MHD/o95+DBg8rLy/PZN2PGDO3cuTPg53i9Xnm9317YmprWOw21tbVmyu1QSVmN6tzntOL2ibry8hifY46zg1X7hqFz3jrtP3Ky3fELvjhTpxZvvRIiB6vWayi5rliK+vb4FZLe+NvIdsPGHDX1Ov//GvTR9U9p+QeNQYfdRg0epNV3TNHlSanSoHiph/87AAD8G9zcoMiWBv3jvx8I2Oav7E9p+YxhiouytztWWuXRv777J/3j90crLdEpR80XGvH/fqE/H/1M3hANFvy6vklLCj9RQ1OQvzP2QfqvRd/R8B4OJBf+bnd438MwobS01JBkHDhwwGf/gw8+aEybNs3vOXa73diyZYvPvnXr1hnJyckBP+eJJ54wJPHixYsXL168+sGrpKQkaL4Iy9E0+fn5PndTWlpa9PXXX2vo0KGy2WyW1FRbW6v09HSVlJT06KMi9CyuU/jjGvUNXKfw1xeukWEYOnfunIYPHx60nakwkpSUpIiICJWXl/vsLy8vV2pqqt9zUlNTTbWXJIfDIYfDt0NnQkKCmVJ7TVxcXNhedHyL6xT+uEZ9A9cp/IX7NYqPj++wzSAzbxgZGampU6dq7969bftaWlq0d+9eZWZm+j0nMzPTp70k7d69O2B7AAAwsJh+TJOXl6cFCxbouuuu07Rp07RmzRrV1dXpnnvukSTNnz9faWlpKigokCQtXrxY2dnZWrVqlWbPnq3CwkIdOnRIGzdu7NlvAgAA+iTTYWTevHk6c+aMHn/8cZWVlSkjI0NvvfWWUlJSJEmnTp3SoEHf3nDJysrSli1b9Oijj+qRRx7R6NGjtXPnzrCYY8QMh8OhJ554ot3jI4QXrlP44xr1DVyn8NefrpHpeUYAAAB6kqk+IwAAAD2NMAIAACxFGAEAAJYijAAAAEsRRi6ybt06/dVf/ZWioqI0ffp0ffjhh0Hbb9u2TVdffbWioqI0ceJEvfnmmyGqdGAzc502bdqk7373u0pMTFRiYqJycnI6vK7oPrM/SxcUFhbKZrNpzpw5vVsgJJm/TtXV1crNzdWwYcPkcDg0ZswYfu/1MrPXaM2aNRo7dqycTqfS09P1wAMPqKGhIUTVdkNn1qQZCAoLC43IyEjjlVdeMY4ePWosXLjQSEhIMMrLy/22/8Mf/mBEREQYv/71r43PPvvMePTRRw273W4cOXIkxJUPLGav009+8hNj3bp1xieffGL88Y9/NO6++24jPj7e+Mtf/hLiygcOs9foghMnThhpaWnGd7/7XeO2224LTbEDmNnr5PV6jeuuu86YNWuW8f777xsnTpww9u3bZxQVFYW48oHD7DV69dVXDYfDYbz66qvGiRMnjLffftsYNmyY8cADD4S4cvMII9+YNm2akZub27bd3NxsDB8+3CgoKPDb/sc//rExe/Zsn33Tp083/v7v/75X6xzozF6nS50/f94YMmSI8Zvf/Ka3ShzwunKNzp8/b2RlZRkvvfSSsWDBAsJICJi9TuvXrzeuvPJKo7GxMVQlDnhmr1Fubq7x/e9/32dfXl6eceONN/ZqnT2BxzSSGhsbdfjwYeXk5LTtGzRokHJycnTw4EG/5xw8eNCnvSTNmDEjYHt0X1eu06Xq6+vV1NSkyy67rLfKHNC6eo2efPJJJScn69577w1FmQNeV67Tf/3XfykzM1O5ublKSUnRhAkT9PTTT6u5uTlUZQ8oXblGWVlZOnz4cNujnC+++EJvvvmmZs2aFZKauyMsV+0NtcrKSjU3N7fNIntBSkqKPv/8c7/nlJWV+W1fVlbWa3UOdF25Tpf6xS9+oeHDh7cLkugZXblG77//vl5++WUVFRWFoEJIXbtOX3zxhd5991399Kc/1Ztvvqni4mL9/Oc/V1NTk5544olQlD2gdOUa/eQnP1FlZaW+853vyDAMnT9/Xvfff78eeeSRUJTcLdwZwYCxYsUKFRYWaseOHYqKirK6HEg6d+6c7rrrLm3atElJSUlWl4MgWlpalJycrI0bN2rq1KmaN2+efvnLX2rDhg1Wl4Zv7Nu3T08//bReeOEFffzxx9q+fbt27dql5cuXW11ah7gzIikpKUkREREqLy/32V9eXq7U1FS/56Smpppqj+7rynW64Nlnn9WKFSu0Z88eTZo0qTfLHNDMXqM///nP+vLLL3Xrrbe27WtpaZEkDR48WMeOHdNVV13Vu0UPQF35WRo2bJjsdrsiIiLa9o0bN05lZWVqbGxUZGRkr9Y80HTlGj322GO66667dN9990mSJk6cqLq6Ov3sZz/TL3/5S59148JN+FYWQpGRkZo6dar27t3btq+lpUV79+5VZmam33MyMzN92kvS7t27A7ZH93XlOknSr3/9ay1fvlxvvfWWrrvuulCUOmCZvUZXX321jhw5oqKiorbX3/zN3+jmm29WUVGR0tPTQ1n+gNGVn6Ubb7xRxcXFbWFRko4fP65hw4YRRHpBV65RfX19u8BxITwa4b4MndU9aMNFYWGh4XA4jM2bNxufffaZ8bOf/cxISEgwysrKDMMwjLvuust4+OGH29r/4Q9/MAYPHmw8++yzxh//+EfjiSeeYGhvCJi9TitWrDAiIyON1157zTh9+nTb69y5c1Z9hX7P7DW6FKNpQsPsdTp16pQxZMgQY9GiRcaxY8eMN954w0hOTjb++Z//2aqv0O+ZvUZPPPGEMWTIEOM///M/jS+++MJ45513jKuuusr48Y9/bNVX6DTCyEWee+4544orrjAiIyONadOmGR988EHbsezsbGPBggU+7X/3u98ZY8aMMSIjI43x48cbu3btCnHFA5OZ6zRy5EhDUrvXE088EfrCBxCzP0sXI4yEjtnrdODAAWP69OmGw+EwrrzySuOpp54yzp8/H+KqBxYz16ipqcn41a9+ZVx11VVGVFSUkZ6ebvz85z83qqqqQl+4STbDCPd7NwAAoD+jzwgAALAUYQQAAFiKMAIAACxFGAEAAJYijAAAAEsRRgAAgKUIIwAAwFKEEQAAYCnCCAAAsBRhBAAAWIowAgAALEUYAQAAlvr/P+hZTaMgC/oAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "key = \"beta\"\n",
    "\n",
    "plt.figure()\n",
    "plt.hist(data[:, names.index(key)], bins=\"auto\", density=1, histtype=\"step\")\n",
    "plt.hist(samples[key], bins=\"auto\", density=1, histtype=\"step\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [],
   "source": [
    "samples = mcmc.get_samples()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Array([-369.51086, -369.97043, -370.17526, ..., -372.54755, -376.03503,\n",
       "       -374.88458], dtype=float32)"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "samples[\"ll_values\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nparam = 0\n",
    "for val in samples.values():\n",
    "    if val.ndim == 1:\n",
    "        nparam += 1\n",
    "    elif val.ndim == 2:\n",
    "        nparam += val.shape[-1]\n",
    "    else:\n",
    "        raise ValueError(\"Invalid dimensionality of samples to count the number of parameters.\")\n",
    "    \n",
    "\n",
    "nparam\n",
    "    \n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|V|  = 197.8179931640625 +- 99.38513946533203\n",
      "l    = 213.2463176948003 +- 116.2995226818662\n",
      "b    = -5.31730133782022 +- 27.004291397137365\n",
      "beta = 0.4450029134750366 +- 0.10768470168113708\n"
     ]
    }
   ],
   "source": [
    "Vmag = np.sqrt(samples[\"Vext\"][:, 0]**2 + samples[\"Vext\"][:, 1]**2 + samples[\"Vext\"][:, 2]**2)\n",
    "\n",
    "V = np.vstack([samples[\"Vext\"][:, 0], samples[\"Vext\"][:, 1], samples[\"Vext\"][:, 2]]).T\n",
    "V = csiborgtools.cartesian_to_radec(V)\n",
    "\n",
    "l, b = csiborgtools.radec_to_galactic(V[:, 1], V[:, 2])\n",
    "\n",
    "print(f\"|V|  = {np.mean(Vmag)} +- {np.std(Vmag)}\")\n",
    "print(f\"l    = {np.mean(l)} +- {np.std(l)}\")\n",
    "print(f\"b    = {np.mean(b)} +- {np.std(b)}\")\n",
    "if \"beta\" in samples:\n",
    "    print(f\"beta = {np.mean(samples['beta'])} +- {np.std(samples['beta'])}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1390x1390 with 36 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = [l, b, Vmag]\n",
    "labels = [r\"$l$\", r\"$b$\", r\"$|\\bf{V}_{\\rm ext}|$\"]\n",
    "if \"alpha\" in samples:\n",
    "    data.append(samples[\"alpha\"])\n",
    "    labels.append(r\"$\\alpha$\")\n",
    "\n",
    "if \"beta\" in samples:\n",
    "    data.append(samples[\"beta\"])\n",
    "    labels.append(r\"$\\beta$\")\n",
    "\n",
    "if \"h\" in samples:\n",
    "    data.append(samples[\"h\"])\n",
    "    labels.append(r\"$h$\")\n",
    "\n",
    "if \"sigma_v\" in samples:\n",
    "    data.append(samples[\"sigma_v\"])\n",
    "    labels.append(r\"$\\sigma_v$\")\n",
    "\n",
    "data = np.vstack(data).T\n",
    "fig = corner.corner(data, labels=labels, show_titles=True, title_fmt=\".3f\", title_kwargs={\"fontsize\": 12}, smooth=1)\n",
    "fig.savefig(f\"../../plots/mock_{simname}_{catalogue}.png\", dpi=500, bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Reading Pantheon+ fitted to csiborg2_main with ksmooth = 0.\n",
      "BIC  = 10055.604150 +- 27.237237\n",
      "AIC  = 10010.412744 +- 27.237237\n",
      "logZ = -5000.136133 +- 23.062465\n",
      "chi2 = 0.985968 +- 0.117400\n",
      "Removed no burn in\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<getdist.mcsamples.MCSamples at 0x7f34904c5b90>"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_samples(\"Pantheon+\", \"csiborg2_main\", 0, return_MCsamples=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Vizualize the results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data, names, gof = read_samples(\"Pantheon+_groups\", \"Carrick2015\", 0)\n",
    "\n",
    "fig = corner.corner(data, labels=names_to_latex(names, True), show_titles=True,\n",
    "                    title_fmt=\".3f\", title_kwargs={\"fontsize\": 12}, smooth=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### $\\texttt{LOSS}$ comparison"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Reading LOSS fitted to Carrick2015 with ksmooth = 0.\n",
      "BIC  = 773.225037 +- 0.000000\n",
      "AIC  = 754.104797 +- 0.000000\n",
      "logZ = -356.240234 +- 0.000000\n",
      "chi2 = 1.207006 +- 0.228673\n",
      "Removed no burn in\n"
     ]
    }
   ],
   "source": [
    "LOSS_Carrick_0 = read_samples(\"LOSS\", \"Carrick2015\", 0, return_MCsamples=True)\n",
    "# LOSS_Carrick_1 = read_samples(\"LOSS\", \"Carrick2015\", 1, return_MCsamples=True)\n",
    "\n",
    "# LOSS_CB1_0 = read_samples(\"LOSS\", \"csiborg1\", 0, return_MCsamples=True)\n",
    "# LOSS_CB1_1 = read_samples(\"LOSS\", \"csiborg1\", 1, return_MCsamples=True)\n",
    "\n",
    "# LOSS_CB2_0 = read_samples(\"LOSS\", \"csiborg2_main\", 0, return_MCsamples=True)\n",
    "# LOSS_CB2_1 = read_samples(\"LOSS\", \"csiborg2_main\", 1, return_MCsamples=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = [\n",
    "     LOSS_Carrick_0,\n",
    "     # LOSS_Carrick_1,\n",
    "     # LOSS_CB1_0,\n",
    "     LOSS_CB1_1,\n",
    "     LOSS_CB2_0,\n",
    "     LOSS_CB2_1,\n",
    "     ]\n",
    "\n",
    "# params = [\"l\", \"b\", \"Vmag\", \"beta\"]\n",
    "params = None\n",
    "\n",
    "g = plots.get_subplot_plotter()\n",
    "g.settings.figure_legend_frame = False\n",
    "g.settings.alpha_filled_add = 0.75\n",
    "# g.settings.title_limit_fontsize = 14\n",
    "g.triangle_plot(X, params=params, filled=True, legend_loc='upper right', )\n",
    "g.export(f\"../plots/LOSS_comparison.png\", dpi=500,)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### $\\texttt{Foundation}$ comparison"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "FOUNDATION_Carrick_0 = read_samples(\"Foundation\", \"Carrick2015\", 0, return_MCsamples=True)\n",
    "FOUNDATION_Carrick_1 = read_samples(\"Foundation\", \"Carrick2015\", 1, return_MCsamples=True)\n",
    "\n",
    "FOUNDATION_CB1_0 = read_samples(\"Foundation\", \"csiborg1\", 0, return_MCsamples=True)\n",
    "FOUNDATION_CB1_1 = read_samples(\"Foundation\", \"csiborg1\", 1, return_MCsamples=True)\n",
    "\n",
    "FOUNDATION_CB2_0 = read_samples(\"Foundation\", \"csiborg2_main\", 0, return_MCsamples=True)\n",
    "FOUNDATION_CB2_1 = read_samples(\"Foundation\", \"csiborg2_main\", 1, return_MCsamples=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = [\n",
    "    FOUNDATION_Carrick_0,\n",
    "    # FOUNDATION_Carrick_1,\n",
    "    # FOUNDATION_CB1_0,\n",
    "    FOUNDATION_CB1_1,\n",
    "    FOUNDATION_CB2_0,\n",
    "    FOUNDATION_CB2_1,\n",
    "    ]\n",
    "\n",
    "g = plots.get_subplot_plotter()\n",
    "g.settings.figure_legend_frame = False\n",
    "g.settings.alpha_filled_add = 0.75\n",
    "# g.settings.title_limit_fontsize = 14\n",
    "g.triangle_plot(X, filled=True, legend_loc='upper right')\n",
    "g.export(f\"../plots/FOUNDATION_comparison.png\", dpi=500,)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### $\\texttt{Pantheon+}$ comparison"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "PANTHEONP_Carrick_0 = read_samples(\"Pantheon+\", \"Carrick2015\", 0, return_MCsamples=True)\n",
    "PANTHEONP_Carrick_1 = read_samples(\"Pantheon+\", \"Carrick2015\", 1, return_MCsamples=True)\n",
    "\n",
    "# PANTHEONP_CB1_0 = read_samples(\"Pantheon+\", \"csiborg1\", 0, return_MCsamples=True)\n",
    "# PANTHEONP_CB1_1 = read_samples(\"Pantheon+\", \"csiborg1\", 1, return_MCsamples=True)\n",
    "\n",
    "PANTHEONP_CB2_0 = read_samples(\"Pantheon+\", \"csiborg2_main\", 0, return_MCsamples=True)\n",
    "PANTHEONP_CB2_1 = read_samples(\"Pantheon+\", \"csiborg2_main\", 1, return_MCsamples=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = [\n",
    "    PANTHEONP_Carrick_0,\n",
    "    # PANTHEONP_Carrick_1,\n",
    "    # PANTHEONP_CB1_0,\n",
    "    # PANTHEONP_CB1_1,\n",
    "    PANTHEONP_CB2_0,\n",
    "    PANTHEONP_CB2_1,\n",
    "    ]\n",
    "\n",
    "g = plots.get_subplot_plotter()\n",
    "g.settings.figure_legend_frame = False\n",
    "g.settings.alpha_filled_add = 0.75\n",
    "# g.settings.title_limit_fontsize = 14\n",
    "g.triangle_plot(X, filled=True, legend_loc='upper right')\n",
    "# g.export(f\"../plots/PANTHEONP_comparison.png\", dpi=500,)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### $\\texttt{Pantheon+}$ groups"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "LG = -1\n",
    "\n",
    "PANTHEONP_Carrick = read_samples(\"Pantheon+\", \"Carrick2015\", 0, return_MCsamples=True, subtract_LG_velocity=LG, )\n",
    "PANTHEONP_Carrick_Groups = read_samples(\"Pantheon+_groups\", \"Carrick2015\", 0, return_MCsamples=True, subtract_LG_velocity=LG)\n",
    "PANTHEONP_Carrick_Groups_zSN = read_samples(\"Pantheon+_groups_zSN\", \"Carrick2015\", 0, return_MCsamples=True, subtract_LG_velocity=LG)\n",
    "PANTHEONP_Carrick_zSN = read_samples(\"Pantheon+_zSN\", \"Carrick2015\", 0, return_MCsamples=True, subtract_LG_velocity=LG)\n",
    "\n",
    "# ksmooth = 1\n",
    "# PANTHEONP_CB2 = read_samples(\"Pantheon+\", \"csiborg2_main\", ksmooth, return_MCsamples=True, subtract_LG_velocity=LG)\n",
    "# PANTHEONP_CB2_Groups = read_samples(\"Pantheon+_groups\", \"csiborg2_main\", ksmooth, return_MCsamples=True, subtract_LG_velocity=LG)\n",
    "# PANTHEONP_CB2_Groups_zSN = read_samples(\"Pantheon+_groups_zSN\", \"csiborg2_main\", ksmooth, return_MCsamples=True, subtract_LG_velocity=LG)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "params = [\"Vmag\", \"l\", \"b\"]\n",
    "CMB = MCSamples(samples=multivariate_normal([627, 276, 30], [22, 3, 3]).rvs(size=20000),\n",
    "                names=params, labels=names_to_latex(params, True), label=\"CMB\")\n",
    "\n",
    "\n",
    "X = [\n",
    "    PANTHEONP_Carrick,\n",
    "    # PANTHEONP_Carrick_Groups,\n",
    "    # PANTHEONP_Carrick_Groups_zSN,\n",
    "    PANTHEONP_Carrick_zSN,\n",
    "    # PANTHEONP_CB2,\n",
    "    # PANTHEONP_CB2_Groups,\n",
    "    # PANTHEONP_CB2_Groups_zSN,\n",
    "    # CMB,\n",
    "    ]\n",
    "\n",
    "g = plots.get_subplot_plotter()\n",
    "g.settings.figure_legend_frame = False\n",
    "g.settings.alpha_filled_add = 0.75\n",
    "# g.settings.title_limit_fontsize = 14\n",
    "g.triangle_plot(X, filled=True, legend_loc='upper right')\n",
    "g.export(f\"../../plots/PANTHEON_GROUPS_Carrick_comparison_LG.png\", dpi=500,)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### $\\texttt{2MTF}$ comparison"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Reading 2MTF fitted to Carrick2015 with ksmooth = 0.\n",
      "BIC  = 19517.031250 +- 0.000000\n",
      "AIC  = 19470.867188 +- 0.000000\n",
      "logZ = -9731.227539 +- 0.000000\n",
      "chi2 = 0.000000 +- 0.000000\n",
      "Removed no burn in\n",
      "\n",
      "Reading 2MTF fitted to Carrick2015 with ksmooth = 1.\n",
      "BIC  = 19632.685547 +- 0.000000\n",
      "AIC  = 19586.521484 +- 0.000000\n",
      "logZ = -9788.892578 +- 0.000000\n",
      "chi2 = 0.000000 +- 0.000000\n",
      "Removed no burn in\n",
      "\n",
      "Reading 2MTF fitted to csiborg1 with ksmooth = 0.\n",
      "BIC  = 19922.607596 +- 33.988735\n",
      "AIC  = 19876.443533 +- 33.988735\n",
      "logZ = -9934.180538 +- 17.010780\n",
      "chi2 = 0.000000 +- 0.000000\n",
      "Removed no burn in\n",
      "\n",
      "Reading 2MTF fitted to csiborg1 with ksmooth = 1.\n",
      "BIC  = 19840.144473 +- 31.749545\n",
      "AIC  = 19793.980411 +- 31.749545\n",
      "logZ = -9891.951984 +- 16.078607\n",
      "chi2 = 0.000000 +- 0.000000\n",
      "Removed no burn in\n",
      "\n",
      "Reading 2MTF fitted to csiborg2_main with ksmooth = 0.\n",
      "BIC  = 19248.799609 +- 38.583873\n",
      "AIC  = 19202.635547 +- 38.583873\n",
      "logZ = -9598.394336 +- 19.251815\n",
      "chi2 = 0.000000 +- 0.000000\n",
      "Removed no burn in\n",
      "\n",
      "Reading 2MTF fitted to csiborg2_main with ksmooth = 1.\n",
      "BIC  = 19167.596582 +- 20.190445\n",
      "AIC  = 19121.432520 +- 20.190445\n",
      "logZ = -9555.558252 +- 9.820362\n",
      "chi2 = 0.000000 +- 0.000000\n",
      "Removed no burn in\n"
     ]
    }
   ],
   "source": [
    "TWOMTF_Carrick_0 = read_samples(\"2MTF\", \"Carrick2015\", 0, return_MCsamples=True)\n",
    "TWOMTF_Carrick_1 = read_samples(\"2MTF\", \"Carrick2015\", 1, return_MCsamples=True)\n",
    "\n",
    "TWOMTF_CB1_0 = read_samples(\"2MTF\", \"csiborg1\", 0, return_MCsamples=True)\n",
    "TWOMTF_CB1_1 = read_samples(\"2MTF\", \"csiborg1\", 1, return_MCsamples=True)\n",
    "\n",
    "TWOMTF_CB2_0 = read_samples(\"2MTF\", \"csiborg2_main\", 0, return_MCsamples=True)\n",
    "TWOMTF_CB2_1 = read_samples(\"2MTF\", \"csiborg2_main\", 1, return_MCsamples=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = [\n",
    "    TWOMTF_Carrick_0,\n",
    "    # TWOMTF_Carrick_1,\n",
    "    # TWOMTF_CB1_0,\n",
    "    TWOMTF_CB1_1,\n",
    "    TWOMTF_CB2_0,\n",
    "    TWOMTF_CB2_1,\n",
    "    ]\n",
    "\n",
    "g = plots.get_subplot_plotter()\n",
    "g.settings.figure_legend_frame = False\n",
    "g.settings.alpha_filled_add = 0.75\n",
    "# g.settings.title_limit_fontsize = 14\n",
    "g.triangle_plot(X, filled=True, legend_loc='upper right')\n",
    "g.export(f\"../plots/2MTF_comparison.png\", dpi=500,)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### $\\texttt{SFI++ galaxies}$ comparison"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "SFIGAL_Carrick_0 = read_samples(\"SFI_gals\", \"Carrick2015\", 0, return_MCsamples=True)\n",
    "SFIGAL_Carrick_1 = read_samples(\"SFI_gals\", \"Carrick2015\", 1, return_MCsamples=True)\n",
    "\n",
    "# SFIGAL_CB1_0 = read_samples(\"SFI_gals\", \"csiborg1\", 0, return_MCsamples=True)\n",
    "# SFIGAL_CB1_1 = read_samples(\"SFI_gals\", \"csiborg1\", 1, return_MCsamples=True)\n",
    "\n",
    "SFIGAL_CB2_0 = read_samples(\"SFI_gals\", \"csiborg2_main\", 0, return_MCsamples=True)\n",
    "SFIGAL_CB2_1 = read_samples(\"SFI_gals\", \"csiborg2_main\", 1, return_MCsamples=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = [\n",
    "    SFIGAL_Carrick_0,\n",
    "    # SFIGAL_Carrick_1,\n",
    "    # SFIGAL_CB1_0,\n",
    "    # SFIGAL_CB1_1,\n",
    "    # SFIGAL_CB2_0,\n",
    "    SFIGAL_CB2_1,\n",
    "    ]\n",
    "\n",
    "g = plots.get_subplot_plotter()\n",
    "g.settings.figure_legend_frame = False\n",
    "g.settings.alpha_filled_add = 0.75\n",
    "# g.settings.title_limit_fontsize = 14\n",
    "g.triangle_plot(X, filled=True, legend_loc='upper right')\n",
    "g.export(f\"../plots/SFI_gals_comparison.png\", dpi=500,)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### $\\texttt{SFI++ groups}$ comparison"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "SFIGROUP_Carrick_0 = read_samples(\"SFI_groups\", \"Carrick2015\", 0, return_MCsamples=True)\n",
    "SFIGROUP_Carrick_1 = read_samples(\"SFI_groups\", \"Carrick2015\", 1, return_MCsamples=True)\n",
    "\n",
    "SFIGROUP_CB2_0 = read_samples(\"SFI_groups\", \"csiborg2_main\", 0, return_MCsamples=True)\n",
    "SFIGROUP_CB2_1 = read_samples(\"SFI_groups\", \"csiborg2_main\", 1, return_MCsamples=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = [\n",
    "    SFIGROUP_Carrick_0,\n",
    "    SFIGAL_Carrick_0,\n",
    "    # SFIGROUP_Carrick_1,\n",
    "    # SFIGROUP_CB2_0,\n",
    "    # SFIGROUP_CB2_1,\n",
    "    ]\n",
    "\n",
    "g = plots.get_subplot_plotter()\n",
    "g.settings.figure_legend_frame = False\n",
    "g.settings.alpha_filled_add = 0.75\n",
    "# g.settings.title_limit_fontsize = 14\n",
    "g.triangle_plot(X, filled=True, legend_loc='upper right')\n",
    "g.export(f\"../plots/SFI_gals_vs_groups_comparison.png\", dpi=500,)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### SN to TF comparison"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "LG = 0\n",
    "\n",
    "# PANTHEONP_Carrick = read_samples(\"Pantheon+\", \"Carrick2015\", 0, return_MCsamples=True, subtract_LG_velocity=LG, )\n",
    "# PANTHEONP_Groups_Carrick = read_samples(\"Pantheon+_groups\", \"Carrick2015\", 0, return_MCsamples=True, subtract_LG_velocity=LG, )\n",
    "# TWOMTF_Carrick = read_samples(\"2MTF\", \"Carrick2015\", 0, return_MCsamples=True, subtract_LG_velocity=LG)\n",
    "# SFIGAL_Carrick = read_samples(\"SFI_gals\", \"Carrick2015\", 0, return_MCsamples=True, subtract_LG_velocity=LG)\n",
    "\n",
    "k = 1\n",
    "PANTHEONP_CB2 = read_samples(\"Pantheon+\", \"csiborg2_main\", k, return_MCsamples=True, subtract_LG_velocity=LG, )\n",
    "PANTHEONP_Groups_CB2 = read_samples(\"Pantheon+_groups\", \"csiborg2_main\", k, return_MCsamples=True, subtract_LG_velocity=LG, )\n",
    "TWOMTF_CB2 = read_samples(\"2MTF\", \"csiborg2_main\", k, return_MCsamples=True, subtract_LG_velocity=LG)\n",
    "SFIGAL_CB2 = read_samples(\"SFI_gals\", \"csiborg2_main\", k, return_MCsamples=True, subtract_LG_velocity=LG)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "params = [\"Vmag\", \"l\", \"b\"]\n",
    "CMB = MCSamples(samples=multivariate_normal([627, 276, 30], [22, 3, 3]).rvs(size=20000),\n",
    "                names=params, labels=names_to_latex(params, True), label=\"CMB\")\n",
    "\n",
    "\n",
    "X = [\n",
    "    # PANTHEONP_Carrick,\n",
    "    # PANTHEONP_Groups_Carrick,\n",
    "    # TWOMTF_Carrick,\n",
    "    # SFIGAL_Carrick,\n",
    "    PANTHEONP_CB2,\n",
    "    PANTHEONP_Groups_CB2,\n",
    "    TWOMTF_CB2,\n",
    "    SFIGAL_CB2,\n",
    "    CMB,\n",
    "    ]\n",
    "\n",
    "g = plots.get_subplot_plotter()\n",
    "g.settings.figure_legend_frame = False\n",
    "g.settings.alpha_filled_add = 0.75\n",
    "# g.settings.title_limit_fontsize = 14\n",
    "g.triangle_plot(X, filled=True, legend_loc='upper right')\n",
    "# g.export(f\"../../plots/SN_TF_CB2_consistency.png\", dpi=500,)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Mock $\\texttt{CB2}$ comparison"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "SMALLMOCK_CB2_0 = read_samples(\"CB2_small\", \"csiborg2_main\", 0, return_MCsamples=True)\n",
    "SMALLMOCK_CB2_1 = read_samples(\"CB2_small\", \"csiborg2_main\", 1, return_MCsamples=True)\n",
    "\n",
    "LARGEMOCK_CB2_0 = read_samples(\"CB2_large\", \"csiborg2_main\", 0, return_MCsamples=True)\n",
    "LARGEMOCK_CB2_1 = read_samples(\"CB2_large\", \"csiborg2_main\", 1, return_MCsamples=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = [\n",
    "    # SMALLMOCK_CB2_0,\n",
    "    # SMALLMOCK_CB2_1,\n",
    "    LARGEMOCK_CB2_0,\n",
    "    LARGEMOCK_CB2_1,\n",
    "    ]\n",
    "\n",
    "g = plots.get_subplot_plotter()\n",
    "g.settings.figure_legend_frame = False\n",
    "g.settings.alpha_filled_add = 0.75\n",
    "# g.settings.title_limit_fontsize = 14\n",
    "g.triangle_plot(X, filled=True, legend_loc='upper right')\n",
    "g.export(f\"../plots/CB2_mocks_large.png\", dpi=500,)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## External flow consistency"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Carrick2015"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = [\n",
    "    # LOSS_Carrick_0,\n",
    "    # FOUNDATION_Carrick_0,\n",
    "    PANTHEONP_Carrick_0,\n",
    "    TWOMTF_Carrick_0,\n",
    "    SFIGAL_Carrick_0,\n",
    "    ]\n",
    "\n",
    "params = [\"Vmag\", \"l\", \"b\", \"beta\"]\n",
    "g = plots.get_subplot_plotter()\n",
    "g.settings.figure_legend_frame = False\n",
    "g.settings.alpha_filled_add = 0.75\n",
    "# g.settings.title_limit_fontsize = 14\n",
    "g.triangle_plot(X, params=params, filled=True, legend_loc='upper right',)\n",
    "g.export(f\"../plots/Carrick2015_external_flow.png\", dpi=500,)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### CSiBORG1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = [\n",
    "    # LOSS_CB1_1,\n",
    "    # FOUNDATION_CB1_1,\n",
    "    PANTHEONP_CB1_1,\n",
    "    TWOMTF_CB1_1,\n",
    "    # SFIGAL_CB1_1,\n",
    "    ]\n",
    "\n",
    "params = [\"Vmag\", \"l\", \"b\", \"beta\"]\n",
    "g = plots.get_subplot_plotter()\n",
    "g.settings.figure_legend_frame = False\n",
    "g.settings.alpha_filled_add = 0.75\n",
    "# g.settings.title_limit_fontsize = 14\n",
    "g.triangle_plot(X, params=params, filled=True, legend_loc='upper right',)\n",
    "g.export(f\"../plots/CB1_external_flow.png\", dpi=500,)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### CSiBORG2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = [\n",
    "    # LOSS_CB2_1,\n",
    "    # FOUNDATION_CB2_1,\n",
    "    PANTHEONP_CB2_1,\n",
    "    TWOMTF_CB2_1,\n",
    "    SFIGAL_CB2_1,\n",
    "    ]\n",
    "\n",
    "params = [\"Vmag\", \"l\", \"b\", \"beta\"]\n",
    "g = plots.get_subplot_plotter()\n",
    "g.settings.figure_legend_frame = False\n",
    "g.settings.alpha_filled_add = 0.75\n",
    "# g.settings.title_limit_fontsize = 14\n",
    "g.triangle_plot(X, params=params, filled=True, legend_loc='upper right',)\n",
    "g.export(f\"../plots/CB2_external_flow.png\", dpi=500,)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "k = 1\n",
    "LG = 0\n",
    "\n",
    "# Carrick\n",
    "# LOSS_Carrick_LG = read_samples(\"LOSS\", \"Carrick2015\", k, return_MCsamples=True, subtract_LG_velocity=LG)\n",
    "# FOUNDATION_Carrick_LG = read_samples(\"Foundation\", \"Carrick2015\", k, return_MCsamples=True, subtract_LG_velocity=LG)\n",
    "# PANTHEON_Carrick_LG = read_samples(\"Pantheon+\", \"Carrick2015\", k, return_MCsamples=True, subtract_LG_velocity=LG)\n",
    "# TWOMTF_Carrick_LG = read_samples(\"2MTF\", \"Carrick2015\", k, return_MCsamples=True, subtract_LG_velocity=LG)\n",
    "SFIGAL_Carrick_LG = read_samples(\"SFI_gals\", \"Carrick2015\", k, return_MCsamples=True, subtract_LG_velocity=LG)\n",
    "SFIGROUPS_Carrick_LG = read_samples(\"SFI_groups\", \"Carrick2015\", k, return_MCsamples=True, subtract_LG_velocity=LG)\n",
    "\n",
    "\n",
    "# # CSiBORG2\n",
    "# LOSS_CB2_LG = read_samples(\"LOSS\", \"csiborg2_main\", k, return_MCsamples=True,subtract_LG_velocity=LG)\n",
    "# FOUNDATION_CB2_LG = read_samples(\"Foundation\", \"csiborg2_main\", k, return_MCsamples=True, subtract_LG_velocity=LG)\n",
    "# PANTHEON_CB2_LG = read_samples(\"Pantheon+\", \"csiborg2_main\", k, return_MCsamples=True, subtract_LG_velocity=LG)\n",
    "# TWOMTF_CB2_LG = read_samples(\"2MTF\", \"csiborg2_main\", k, return_MCsamples=True, subtract_LG_velocity=LG)\n",
    "SFIGAL_CB2_LG = read_samples(\"SFI_gals\", \"csiborg2_main\", k, return_MCsamples=True, subtract_LG_velocity=LG)\n",
    "SFIGROUP_CB2_LG = read_samples(\"SFI_groups\", \"csiborg2_main\", k, return_MCsamples=True, subtract_LG_velocity=LG)\n",
    "\n",
    "# # CSiBORG1\n",
    "# LOSS_CB1_LG = read_samples(\"LOSS\", \"csiborg1\", k, return_MCsamples=True, subtract_LG_velocity=LG)\n",
    "# FOUNDATION_CB1_LG = read_samples(\"Foundation\", \"csiborg1\", k, return_MCsamples=True, subtract_LG_velocity=LG)\n",
    "# PANTHEON_CB1_LG = read_samples(\"Pantheon+\", \"csiborg1\", k, return_MCsamples=True, subtract_LG_velocity=LG)\n",
    "# TWOMTF_CB1_LG = read_samples(\"2MTF\", \"csiborg1\", k, return_MCsamples=True, subtract_LG_velocity=LG)\n",
    "# SFIGAL_CB1_LG = read_samples(\"SFI_gals\", \"csiborg1\", k, return_MCsamples=True, subtract_LG_velocity=LG)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "params = [\"Vmag\", \"l\", \"b\"]\n",
    "CMB = MCSamples(samples=multivariate_normal([627, 276, 30], [22, 3, 3]).rvs(size=20000),\n",
    "                names=params, labels=names_to_latex(params, True), label=\"CMB\")\n",
    "\n",
    "X = [\n",
    "    # LOSS_Carrick_LG,\n",
    "    # FOUNDATION_Carrick_LG,\n",
    "    # PANTHEON_Carrick_LG,\n",
    "    # TWOMTF_Carrick_LG,\n",
    "    # SFIGAL_Carrick_LG,\n",
    "    # SFIGROUPS_Carrick_LG,\n",
    "    # LOSS_CB1_LG,\n",
    "    # FOUNDATION_CB1_LG,\n",
    "    # PANTHEON_CB1_LG,\n",
    "    # TWOMTF_CB1_LG,\n",
    "    # SFIGAL_CB1_LG,\n",
    "    # LOSS_CB2_LG,\n",
    "    # FOUNDATION_CB2_LG,\n",
    "    # PANTHEON_CB2_LG,\n",
    "    # TWOMTF_CB2_LG,\n",
    "    SFIGAL_CB2_LG,\n",
    "    SFIGROUP_CB2_LG,\n",
    "    CMB,\n",
    "    ]\n",
    "\n",
    "g = plots.get_subplot_plotter()\n",
    "g.settings.figure_legend_frame = False\n",
    "g.settings.alpha_filled_add = 0.75\n",
    "# g.settings.title_limit_fontsize = 14\n",
    "g.triangle_plot(X, params=params, filled=True, legend_loc='upper right', )\n",
    "# g.export(f\"../plots/ALL_dipole.png\", dpi=500,)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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