WLSysMafMetric_ported.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "import lsst.sims.maf.metrics.baseMetric"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import random\n",
    "from lsst.sims.maf.metrics import BaseMetric, ExgalM5\n",
    "from lsst.sims.maf.maps import DustMap\n",
    "from lsst.sims.maf.slicers import HealpixSlicer\n",
    "import lsst.sims.maf.stackers as stackers\n",
    "import lsst.sims.maf.db as db\n",
    "import lsst.sims.maf.metricBundles as metricBundles\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "%pylab inline\n",
    "from scipy import stats\n",
    "from angles import r2d, r2arcs, d2arcs, arcs2r\n",
    "def arcm2r(theta):\n",
    "    return arcs2r(theta*60)\n",
    "import seaborn as sns;sns.set_style('darkgrid')\n",
    "import lsst.sims.maf.stackers as stackers\n",
    "import treecorr as tr\n",
    "%config InlineBackend.figure_format = 'retina'\n",
    "matplotlib.rcParams['figure.figsize'] = 19,14\n",
    "import lsst.sims.maf.slicers as slicers\n",
    "import lsst.sims.maf.metrics as metrics\n",
    "import lsst.sims.maf.metricBundles as metricBundles\n",
    "import lsst.sims.maf.db as db\n",
    "from collections import defaultdict\n",
    "import lsst.sims.maf.maps as maps\n",
    "import treecorr\n",
    "from itertools import chain\n",
    "sns.set_context('poster',font_scale=1.4)\n",
    "import random\n",
    "import lsst.sims.maf.batches as batches\n",
    "from itertools import groupby\n",
    "from weakLensingSystematicsMetricCopy1 import AverageVisitsMetric"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "newestSimsPath = '/global/cscratch1/sd/awan/dbs_post_wp_v2/'\n",
    "newestSims = !ls /global/cscratch1/sd/awan/dbs_post_wp_v2/\n",
    "newestSims = [sim[:-3] for sim in newestSims]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "d = {}\n",
    "nside = 256\n",
    "outDir = 'temp'\n",
    "resultsDb = db.ResultsDb(outDir=outDir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "d = pickle.load(open('metricresults_newsims_year1.p', 'rb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "add_mag_clouds_v1.3_10yrs\n",
      "starting\n",
      "Healpix slicer using NSIDE=256, approximate resolution 13.741946 arcminutes\n",
      "Querying database SummaryAllProps with constraint filter = \"i\" and note not like \"DD%\" for columns ['fieldRA', 'fiveSigmaDepth', 'fieldId', 'fieldDec']\n",
      "Found 428965 visits\n",
      "Running:  ['metric']\n",
      "Completed metric generation.\n",
      "Running reduce methods.\n",
      "Running summary statistics.\n",
      "Completed.\n",
      "agnddf_illum10_v1.3_10yrs\n",
      "starting\n",
      "Healpix slicer using NSIDE=256, approximate resolution 13.741946 arcminutes\n",
      "Querying database SummaryAllProps with constraint filter = \"i\" and note not like \"DD%\" for columns ['fieldRA', 'fiveSigmaDepth', 'fieldId', 'fieldDec']\n",
      "Found 451194 visits\n",
      "Running:  ['metric']\n",
      "Completed metric generation.\n",
      "Running reduce methods.\n",
      "Running summary statistics.\n",
      "Completed.\n",
      "agnddf_illum15_v1.3_10yrs\n",
      "starting\n",
      "Healpix slicer using NSIDE=256, approximate resolution 13.741946 arcminutes\n",
      "Querying database SummaryAllProps with constraint filter = \"i\" and note not like \"DD%\" for columns ['fieldRA', 'fiveSigmaDepth', 'fieldId', 'fieldDec']\n",
      "Found 450296 visits\n",
      "Running:  ['metric']\n"
     ]
    }
   ],
   "source": [
    "sqlWhere = 'filter = \"i\" and note not like \"DD%\"'\n",
    "for i in newestSims:\n",
    "    print(i)\n",
    "    if i not in d.keys():\n",
    "        print('starting')\n",
    "        runName = newestSimsPath+i\n",
    "        myBundles = {}\n",
    "        try:\n",
    "            opsdb = db.OpsimDatabase(runName+'.db')\n",
    "        except Exception as e:\n",
    "            print(e)\n",
    "            continue\n",
    "        slicer = slicers.HealpixSlicer(\n",
    "            lonCol='fieldRA', latCol='fieldDec', nside=nside\n",
    "            )\n",
    "        dustMap = maps.DustMap(interp=False, nside=nside)\n",
    "        metric = AverageVisitsMetric(depthlim=24.5, maps=['DustMap'])\n",
    "        myBundles['metric'] = metricBundles.MetricBundle(\n",
    "                                            metric,\n",
    "                                            slicer,\n",
    "                                            constraint=sqlWhere,\n",
    "                                            runName=newestSimsPath+i,\n",
    "                                            stackerList=[])\n",
    "\n",
    "        bgroup = metricBundles.MetricBundleGroup(myBundles, opsdb,\n",
    "                                                 outDir=outDir,\n",
    "                                                 resultsDb=resultsDb)\n",
    "        bgroup.runAll()\n",
    "        mbund = myBundles['metric']\n",
    "        d[i] = mbund.metricValues.data[np.logical_and(mbund.metricValues>0, mbund.metricValues.mask==False)]\n",
    "        pickle.dump(d, open('metricresults_newsims_year10.p', \n",
    "                           'wb')\n",
    "                   )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['altroll_mod2_sdf_0.20_v1.3_10yrs', 'altwfd_v1.3_10yrs', 'baseline10yrs', 'baseline_1exp_nopairs_10yrs', 'baseline_1exp_pairsame_10yrs', 'baseline_1exp_pairsmix_10yrs', 'baseline_2exp_pairsame_10yrs', 'baseline_2exp_pairsmix_10yrs', 'big_sky_dust_v1.3_10yrs', 'big_sky_nouiy10yrs', 'bluer_footprint10yrs', 'ddf_0.23deg_1exp_pairsmix_10yrs', 'ddf_0.70deg_1exp_pairsmix_10yrs', 'ddf_pn_0.23deg_1exp_pairsmix_10yrs', 'ddf_pn_0.70deg_1exp_pairsmix_10yrs', 'dec_1exp_pairsmix_10yrs', 'desc_ddf_pn_0.70deg_1exp_pairsmix_10yrs', 'exptime_1exp_pairsmix_10yrs', 'fc1exp_pairsmix_ilim15_10yrs', 'fc1exp_pairsmix_ilim30_10yrs', 'fc1exp_pairsmix_ilim60_10yrs', 'gp_heavy10yrs', 'newA10yrs', 'newB10yrs', 'noddf_1exp_pairsame_10yrs', 'presto_10yrs', 'presto_third_10yrs', 'roll_mod2_sdf0.05mixed_10yrs', 'roll_mod2_sdf0.10mixed_10yrs', 'roll_mod2_sdf0.20mixed_10yrs', 'roll_mod3_sdf0.05mixed_10yrs', 'roll_mod3_sdf0.10mixed_10yrs', 'roll_mod3_sdf0.20mixed_10yrs', 'roll_mod6_sdf0.05mixed_10yrs', 'roll_mod6_sdf0.10mixed_10yrs', 'roll_mod6_sdf0.20mixed_10yrs', 'rotator_1exp_pairsmix_10yrs', 'shortt_2ns_1ext_pairsmix_10yrs', 'shortt_2ns_5ext_pairsmix_10yrs', 'shortt_5ns_1ext_pairsmix_10yrs', 'shortt_5ns_5ext_pairsmix_10yrs', 'simple_roll_mod10_sdf0.20mixed_10yrs', 'simple_roll_mod2_sdf0.20mixed_10yrs', 'simple_roll_mod3_sdf0.20mixed_10yrs', 'simple_roll_mod5_sdf0.20mixed_10yrs', 'stability_-10offset_42seed10yrs', 'stability_10offset_42seed10yrs', 'stability_180offset_42seed10yrs', 'stability_1offset_42seed10yrs', 'stability_1offset_43seed10yrs', 'stability_1offset_44seed10yrs', 'stability_30offset_42seed10yrs', 'stability_365offset_42seed10yrs', 'stuck_rolling10yrs', 'templates_w_1.0_1exp_pairsmix_10yrs', 'templates_w_2.0_1exp_pairsmix_10yrs'])"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "160.42013068483007"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.mean(d[newestSims[0]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1368x1008 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 826,
       "width": 1193
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(d[newestSims[0]], 100);\n",
    "#plt.xlim((0, 250))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "altroll_mod2_sdf_0.20_v1.3_10yrs\n",
      "Healpix slicer using NSIDE=256, approximate resolution 13.741946 arcminutes\n",
      "Querying database SummaryAllProps with constraint filter = \"i\" for columns ['fieldRA', 'fiveSigmaDepth', 'fieldId', 'fieldDec']\n",
      "Found 460841 visits\n",
      "Running:  ['metric']\n",
      "Completed metric generation.\n",
      "Running reduce methods.\n",
      "Running summary statistics.\n",
      "Completed.\n"
     ]
    }
   ],
   "source": [
    "sqlWhere = 'filter = \"i\"'\n",
    "for i in [newestSims[0]]:\n",
    "    print(i)\n",
    "    if i+' ' not in d.keys():\n",
    "        runName = newestSimsPath+i\n",
    "        myBundles = {}\n",
    "        try:\n",
    "            opsdb = db.OpsimDatabase(runName+'.db')\n",
    "        except:\n",
    "            continue\n",
    "        slicer = slicers.HealpixSlicer(\n",
    "            lonCol='fieldRA', latCol='fieldDec', nside=nside\n",
    "            )\n",
    "        dustMap = maps.DustMap(interp=False, nside=nside)\n",
    "        metric = AverageVisitsMetric(depthlim=24.5, maps=['DustMap'])\n",
    "        myBundles['metric'] = metricBundles.MetricBundle(\n",
    "                                            metric,\n",
    "                                            slicer,\n",
    "                                            constraint=sqlWhere,\n",
    "                                            runName=newestSimsPath+i,\n",
    "                                            stackerList=[])\n",
    "\n",
    "        bgroup = metricBundles.MetricBundleGroup(myBundles, opsdb,\n",
    "                                                 outDir=outDir,\n",
    "                                                 resultsDb=resultsDb)\n",
    "        bgroup.runAll()\n",
    "        mbund = myBundles['metric']\n",
    "        d[i+'new'] = mbund.metricValues.data[np.logical_and(mbund.metricValues>0, mbund.metricValues.mask==False)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 250)"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1368x1008 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 826,
       "width": 1217
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(d[newestSims[0]+'new'], 1000)\n",
    "plt.xlim((0, 250))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-666"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mbund.metric.badval"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "70162"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum((mbund.metricValues.mask==False) == True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
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