{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Summaise depth maps"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import yaml\n",
"from astropy.table import Table, vstack, unique\n",
"import numpy as np\n",
"import glob"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"meta_files = glob.glob('../*/meta_main.yml')"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"depths =Table()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"depths['field'] = [yaml.load(open(y, 'r'))['field'] for y in meta_files]"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"bands = ['u', 'g', 'r', 'i', 'z', 'y', 'j', 'h', 'k', 'ks', \n",
" 'irac_i1', 'irac_i2', 'irac_i3', 'irac_i4', \n",
" 'mips_24', 'pacs_green', 'pacs_red', \n",
" 'spire_250', 'spire_350', 'spire_500']"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"for band in bands:\n",
" depths['ferr_{}_mean_median'.format(band)] = np.full(len(depths), np.nan)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"u missing\n",
"i missing\n",
"y missing\n",
"h missing\n",
"k missing\n",
"ks missing\n",
"irac_i1 missing\n",
"irac_i2 missing\n",
"irac_i3 missing\n",
"irac_i4 missing\n",
"mips_24 missing\n",
"pacs_green missing\n",
"pacs_red missing\n",
"h missing\n",
"k missing\n",
"ks missing\n",
"pacs_green missing\n",
"pacs_red missing\n",
"irac_i1 missing\n",
"irac_i2 missing\n",
"irac_i3 missing\n",
"irac_i4 missing\n",
"mips_24 missing\n",
"irac_i1 missing\n",
"irac_i2 missing\n",
"irac_i3 missing\n",
"irac_i4 missing\n",
"mips_24 missing\n",
"j missing\n",
"h missing\n",
"mips_24 missing\n",
"pacs_green missing\n",
"pacs_red missing\n",
"u missing\n",
"ks missing\n",
"irac_i1 missing\n",
"irac_i2 missing\n",
"irac_i3 missing\n",
"irac_i4 missing\n",
"mips_24 missing\n",
"j missing\n",
"h missing\n",
"k missing\n",
"ks missing\n",
"mips_24 missing\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/pyenv/versions/3.7.2/lib/python3.7/site-packages/numpy/lib/function_base.py:3400: RuntimeWarning: All-NaN slice encountered\n",
" r = func(a, **kwargs)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"k missing\n",
"irac_i1 missing\n",
"irac_i2 missing\n",
"irac_i3 missing\n",
"irac_i4 missing\n",
"mips_24 missing\n",
"pacs_green missing\n",
"pacs_red missing\n",
"h missing\n",
"ks missing\n",
"h missing\n",
"ks missing\n",
"u missing\n",
"k missing\n",
"irac_i3 missing\n",
"irac_i4 missing\n",
"irac_i1 missing\n",
"irac_i2 missing\n",
"irac_i3 missing\n",
"irac_i4 missing\n",
"mips_24 missing\n",
"h missing\n",
"k missing\n",
"irac_i3 missing\n",
"irac_i4 missing\n",
"u missing\n",
"k missing\n",
"u missing\n",
"i missing\n",
"y missing\n",
"h missing\n",
"k missing\n",
"ks missing\n",
"irac_i1 missing\n",
"irac_i2 missing\n",
"irac_i3 missing\n",
"irac_i4 missing\n",
"mips_24 missing\n",
"pacs_green missing\n",
"pacs_red missing\n",
"irac_i3 missing\n",
"irac_i4 missing\n",
"pacs_green missing\n",
"pacs_red missing\n",
"u missing\n",
"j missing\n",
"h missing\n",
"k missing\n",
"ks missing\n",
"irac_i1 missing\n",
"irac_i2 missing\n",
"irac_i3 missing\n",
"irac_i4 missing\n",
"pacs_green missing\n",
"pacs_red missing\n",
"u missing\n",
"k missing\n",
"irac_i3 missing\n",
"irac_i4 missing\n",
"mips_24 missing\n",
"pacs_green missing\n",
"pacs_red missing\n"
]
}
],
"source": [
"for y in meta_files:\n",
" yml = yaml.load(open(y, 'r'))\n",
" try:\n",
" depth = Table.read(\n",
" \"../dmu32_{}/data/depths_{}_{}.fits\".format(\n",
" yml['field'].replace('HATLAS-',''), \n",
" yml['field'].lower(), \n",
" yml['final'].split('.')[0].split('_')[-1] )\n",
" )\n",
" except:\n",
" print('No depth present on ' + yml['field'])\n",
" continue\n",
" for band in bands:\n",
" try:\n",
" depths['ferr_{}_mean_median'.format(band)][\n",
" depths['field']==yml['field']\n",
" ] = np.nanmedian(depth['ferr_{}_mean'.format(band)])\n",
" except:\n",
" print(band, ' missing')"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'../dmu32_SSDF/data/depths_ssdf_20180221.fits'"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"\"../dmu32_{}/data/depths_{}_{}.fits\".format(\n",
" yml['field'].replace('HATLAS-',''), \n",
" yml['field'].lower(), \n",
" yml['final'].split('.')[0].split('_')[-1] )"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"Table length=23\n",
"
\n",
"field | ferr_u_mean_median | ferr_g_mean_median | ferr_r_mean_median | ferr_i_mean_median | ferr_z_mean_median | ferr_y_mean_median | ferr_j_mean_median | ferr_h_mean_median | ferr_k_mean_median | ferr_ks_mean_median | ferr_irac_i1_mean_median | ferr_irac_i2_mean_median | ferr_irac_i3_mean_median | ferr_irac_i4_mean_median | ferr_mips_24_mean_median | ferr_pacs_green_mean_median | ferr_pacs_red_mean_median | ferr_spire_250_mean_median | ferr_spire_350_mean_median | ferr_spire_500_mean_median |
\n",
"str18 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 |
\n",
"SA13 | nan | 0.499644935131073 | 0.7986563444137573 | nan | 0.9065105319023132 | nan | 14.501233100891113 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 3705.364013671875 | 4037.108642578125 | 4141.72412109375 |
\n",
"Bootes | 0.10898130033345059 | 0.3188217580318451 | 0.19392904215934278 | 0.40504239216048094 | 0.3396558149016761 | 1.15686392984606 | 1.8290149834742848 | 2.433102216580356 | 4.946307573339122 | 23.00567387582105 | 1.3749062614269807 | 1.8823400908678791 | 10.836242823983468 | 15.135585643717517 | 16.38863754272461 | 9715.158203125 | 13206.236328125 | 3246.1162109375 | 3740.114990234375 | 5223.958984375 |
\n",
"xFLS | 2.5981874465942383 | 0.577968418598175 | 0.16221551597118378 | 1.590234294227871 | 2.751865564430781 | 6.875311435130419 | 11.35222053527832 | nan | nan | nan | 7.403669558268787 | 8.833639499169525 | 29.367724531714284 | 29.851775776160004 | 9.724309921264648 | nan | nan | 3286.6875 | 3642.482666015625 | 4220.560546875 |
\n",
"GAMA-15 | 0.4427473247051239 | 0.12072403728961945 | 0.12575195729732513 | 0.48367467522621155 | 0.452085018157959 | 3.2316691875457764 | 3.6990435123443604 | 6.410440921783447 | 12.525550842285156 | 7.522132396697998 | nan | nan | nan | nan | nan | 19691.93359375 | 18558.060546875 | 5106.9755859375 | 5166.611328125 | 6490.95751953125 |
\n",
"GAMA-12 | 0.41562238335609436 | 0.13120463490486145 | 0.13316823542118073 | 0.5314038991928101 | 0.39746949076652527 | 3.540733575820923 | 4.398492336273193 | 7.363485813140869 | 12.678882598876953 | 8.253340721130371 | nan | nan | nan | nan | nan | 21138.68359375 | 19303.3671875 | 5076.7255859375 | 5106.244140625 | 6284.501953125 |
\n",
"HDF-N | 0.06014675394855649 | 1.3818777735856416 | 1.1716443860025318 | 1.6228076050734046 | 2.9377319800322845 | 5.8660030659659 | nan | nan | 0.05740212276214833 | 0.4566996904024768 | 0.10814776693584569 | 0.10191452447040789 | 0.692944523239918 | 0.675048084995405 | nan | nan | nan | 2362.53662109375 | 2806.37451171875 | 2727.918212890625 |
\n",
"HATLAS-NGP | nan | 1.1068435373359502 | 1.1280449351446002 | 1.346519620469588 | 0.8371601700782776 | 5.200235573175303 | 6.290984153747559 | 10.445904731750488 | 11.602095603942871 | nan | nan | nan | nan | nan | nan | 19003.72265625 | 18367.27734375 | 5174.78125 | 5124.71240234375 | 5790.87890625 |
\n",
"ELAIS-N2 | 0.021648168563842773 | 0.021362041543176936 | 0.029633822046084647 | 0.07714027911424637 | 0.1036979019628619 | 5.692292634532179 | nan | nan | nan | nan | 0.8554748603351955 | 1.1536211920529802 | 4.81047619047619 | 5.009145768025078 | 14.556729316711426 | 23417.884765625 | 14200.380859375 | 3349.41748046875 | 3733.767578125 | 4536.9248046875 |
\n",
"EGS | 0.08380091767084885 | 0.04328254815720886 | 0.0690450668334961 | 0.12278351160752989 | 0.24312596023082733 | 5.537406787291107 | 12.964601516723633 | 0.17524227621391958 | 2.621839515379559 | 0.2610806312441928 | 0.47927530201342283 | 0.44784326769525834 | 1.3045725 | 1.5293367837692826 | nan | 5127.20068359375 | 6389.46826171875 | nan | 8507.791015625 | 13703.501953125 |
\n",
"COSMOS | 0.0157054272168928 | 0.03435012107951955 | 0.04222205885971367 | 0.04593066566965388 | 0.07118493291013499 | 0.281536650582612 | 5.00678873831226 | 8.709416061639786 | 11.476829460689 | 0.14436165717867888 | 0.08034571709348072 | 0.0925659009844332 | 3.8457104629305876 | 6.694406648476918 | 6.219132423400879 | 1232.279649109773 | 4635.778800150351 | 1499.47998046875 | 1975.371826171875 | 2105.90673828125 |
\n",
"... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
\n",
"ELAIS-N1 | 0.019151365384459496 | 0.01338229700922966 | 0.026388978585600853 | 0.08936943113803864 | 0.06265846639871597 | 0.4700567126274109 | 0.7145328521728516 | nan | 0.9512724876403809 | nan | 0.8422565681444991 | 1.162595419847328 | 5.0848148148148145 | 5.34253663003663 | 14.674064303959131 | 16373.70703125 | 24139.98046875 | 3145.5224982683985 | 3465.7372941176473 | 4373.563149285714 |
\n",
"AKARI-SEP | nan | 0.1638194899333738 | 0.20247847867582794 | 0.36581064852331513 | 0.7352514496291919 | 2.684849291603666 | 8.88608169555664 | 14.644022941589355 | nan | 17.339191436767578 | 1.5033944845199585 | 1.3817453384399414 | nan | nan | 32.257118225097656 | 2436.84375 | 5730.814453125 | nan | nan | 11756.189453125 |
\n",
"GAMA-09 | 0.49408671259880066 | 0.12755326926708221 | 0.1226644515991211 | 0.3611517338919444 | 0.5064490437507629 | 3.289641410839267 | 4.46015354792277 | 7.6092741672809305 | 10.821016311645508 | 8.076903040592487 | nan | nan | nan | nan | nan | nan | nan | 5202.1318359375 | 5304.60107421875 | 6743.455078125 |
\n",
"AKARI-NEP | 0.02289699576795101 | 1.6874522100531717 | 1.679151044169694 | 1.4960020491419808 | 3.291870180628686 | 7.624104250024761 | 0.8175007104873657 | nan | nan | 0.9437398910522461 | 2.3798959255218506 | 1.9808772802352905 | nan | nan | 243.60186767578125 | 14753.4375 | 14529.650390625 | 4984.0537109375 | 5300.73095703125 | 6000.7333984375 |
\n",
"ELAIS-S1 | nan | 0.17147434671339187 | 0.17739224433898926 | 0.449877824758422 | 0.8433735783268991 | 1.793659929515126 | 4.3969772806707415 | 7.270071649551392 | nan | 11.856416393728818 | 0.8021556886227543 | 1.1292903225806452 | 5.405454545454545 | 5.977647058823529 | 28.3387508392334 | 15108.5078125 | 20724.3359375 | 2995.979736328125 | 3430.412841796875 | 4187.9091796875 |
\n",
"XMM-13hr | nan | 0.4560602605342865 | 0.3923824429512024 | nan | 0.712295413017273 | nan | 14.327215194702148 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 3703.67626953125 | 3958.593017578125 | 4224.82421875 |
\n",
"Herschel-Stripe-82 | 0.6864234859998154 | 0.16209108536206196 | 0.22488051793665315 | 0.4492722966201254 | 0.7344161053234455 | 2.9157514193063117 | 7.144738551548549 | 12.398811976114908 | 12.546700053744846 | 17.93561939966111 | 2.948255732819274 | 2.7847867567278892 | nan | nan | 148.20855712890625 | nan | nan | 7332.13818359375 | 7226.1484375 | 8512.892578125 |
\n",
"CDFS-SWIRE | 3.4223345304309745 | 0.16141806081195087 | 0.19151053480605099 | 0.3948345179246271 | 0.793416836944245 | 2.679456500318671 | 2.4205652626163987 | 0.9484897776255532 | 0.04806102067232132 | 1.0882046875319904 | 0.7191956989425013 | 0.8575252835604631 | 4.813548387096775 | 5.252352941176471 | 14.172791481018066 | 23089.76171875 | 20995.912109375 | 2187.26806640625 | 2705.529296875 | 3504.57177734375 |
\n",
"SPIRE-NEP | nan | 1.675706174488259 | 1.8574386738285082 | 1.6852855206836246 | 3.970280827576203 | 7.689797494685946 | nan | nan | nan | nan | nan | nan | nan | nan | 14.384136199951172 | nan | nan | 2581.65185546875 | 3046.0673828125 | 3179.427734375 |
\n",
"SSDF | nan | 0.15106440157128784 | 0.20215228667675636 | 0.35732552772439663 | 0.6988015632210205 | 2.14554883230302 | 6.657228946685791 | 10.618463516235352 | nan | 14.741318702697754 | 12.648787498474121 | 141.58482360839844 | nan | nan | nan | nan | nan | 5573.1484375 | 5964.1728515625 | 8035.0205078125 |
\n",
"
"
],
"text/plain": [
"\n",
" field ferr_u_mean_median ... ferr_spire_500_mean_median\n",
" str18 float64 ... float64 \n",
"------------------ -------------------- ... --------------------------\n",
" SA13 nan ... 4141.72412109375\n",
" Bootes 0.10898130033345059 ... 5223.958984375\n",
" xFLS 2.5981874465942383 ... 4220.560546875\n",
" GAMA-15 0.4427473247051239 ... 6490.95751953125\n",
" GAMA-12 0.41562238335609436 ... 6284.501953125\n",
" HDF-N 0.06014675394855649 ... 2727.918212890625\n",
" HATLAS-NGP nan ... 5790.87890625\n",
" ELAIS-N2 0.021648168563842773 ... 4536.9248046875\n",
" EGS 0.08380091767084885 ... 13703.501953125\n",
" COSMOS 0.0157054272168928 ... 2105.90673828125\n",
" ... ... ... ...\n",
" ELAIS-N1 0.019151365384459496 ... 4373.563149285714\n",
" AKARI-SEP nan ... 11756.189453125\n",
" GAMA-09 0.49408671259880066 ... 6743.455078125\n",
" AKARI-NEP 0.02289699576795101 ... 6000.7333984375\n",
" ELAIS-S1 nan ... 4187.9091796875\n",
" XMM-13hr nan ... 4224.82421875\n",
"Herschel-Stripe-82 0.6864234859998154 ... 8512.892578125\n",
" CDFS-SWIRE 3.4223345304309745 ... 3504.57177734375\n",
" SPIRE-NEP nan ... 3179.427734375\n",
" SSDF nan ... 8035.0205078125"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"depths"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"WARNING: AstropyDeprecationWarning: dr1_depth_overviews.csv already exists. Automatically overwriting ASCII files is deprecated. Use the argument 'overwrite=True' in the future. [astropy.io.ascii.ui]\n"
]
}
],
"source": [
"depths.write('dr1_depth_overviews.csv')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Make a single all sky order ten depth map"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"depth_files=glob.glob('./data/depth*.fits')"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"not True"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"WARNING: MergeConflictWarning: Cannot merge meta key 'EXTNAME' types and , choosing EXTNAME='./data/tiles/sgp_20180221_0.fits' [astropy.utils.metadata]\n",
"WARNING: MergeConflictWarning: Cannot merge meta key 'DATE-HDU' types and , choosing DATE-HDU='2020-10-30T12:34:10' [astropy.utils.metadata]\n",
"WARNING: MergeConflictWarning: Cannot merge meta key 'STILVERS' types and , choosing STILVERS='3.4-2' [astropy.utils.metadata]\n",
"WARNING: MergeConflictWarning: Cannot merge meta key 'EXTNAME' types and , choosing EXTNAME='./data/tiles/Herschel-Stripe-82_20180307_0.fits' [astropy.utils.metadata]\n",
"WARNING: MergeConflictWarning: Cannot merge meta key 'DATE-HDU' types and , choosing DATE-HDU='2020-10-30T11:52:53' [astropy.utils.metadata]\n",
"WARNING: MergeConflictWarning: Cannot merge meta key 'EXTNAME' types and , choosing EXTNAME='./data/tiles/xmm-lss_20190328_0.fits' [astropy.utils.metadata]\n",
"WARNING: MergeConflictWarning: Cannot merge meta key 'DATE-HDU' types and , choosing DATE-HDU='2020-10-30T12:48:52' [astropy.utils.metadata]\n",
"WARNING: MergeConflictWarning: Cannot merge meta key 'EXTNAME' types and , choosing EXTNAME='./data/tiles/Herschel-Stripe-82_20180307_0.fits' [astropy.utils.metadata]\n",
"WARNING: MergeConflictWarning: Cannot merge meta key 'DATE-HDU' types and , choosing DATE-HDU='2020-10-30T11:52:53' [astropy.utils.metadata]\n",
"WARNING: MergeConflictWarning: Cannot merge meta key 'EXTNAME' types and , choosing EXTNAME='./data/tiles/sgp_20180221_0.fits' [astropy.utils.metadata]\n",
"WARNING: MergeConflictWarning: Cannot merge meta key 'DATE-HDU' types and , choosing DATE-HDU='2020-10-30T12:34:10' [astropy.utils.metadata]\n",
"WARNING: MergeConflictWarning: Cannot merge meta key 'EXTNAME' types and , choosing EXTNAME='./data/tiles/xmm-lss_20190328_0.fits' [astropy.utils.metadata]\n",
"WARNING: MergeConflictWarning: Cannot merge meta key 'DATE-HDU' types and , choosing DATE-HDU='2020-10-30T12:48:52' [astropy.utils.metadata]\n",
"WARNING: MergeConflictWarning: Cannot merge meta key 'EXTNAME' types and , choosing EXTNAME='/home/kmalek/work_area/HELP/FINAL_results/COSMOS/zphot/COSMOS_cig...' [astropy.utils.metadata]\n",
"WARNING: MergeConflictWarning: Cannot merge meta key 'DATE-HDU' types and , choosing DATE-HDU='2018-05-09T15:55:52' [astropy.utils.metadata]\n",
"WARNING: MergeConflictWarning: Cannot merge meta key 'STILVERS' types and , choosing STILVERS='3.1-2' [astropy.utils.metadata]\n"
]
}
],
"source": [
"full_depth = Table()\n",
"for f in depth_files:\n",
" d_cat = Table.read(f)\n",
" for c in d_cat.colnames:\n",
" if not((c == 'hp_idx_O_10') or (c.endswith('mean'))):\n",
" d_cat.remove_column(c)\n",
" else:\n",
" pass\n",
" \n",
" u_cat = unique(d_cat,keys='hp_idx_O_10')\n",
" full_depth = vstack([full_depth,u_cat])\n",
"full_depth = full_depth.filled()\n",
"full_depth.write('./data/all_sky_depth_map.fits',overwrite=True)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"Table length=5\n",
"\n",
"hp_idx_O_10 | ferr_omegacam_u_mean | ferr_ap_omegacam_u_mean | ferr_megacam_u_mean | ferr_ap_megacam_u_mean | ferr_omegacam_g_mean | ferr_ap_omegacam_g_mean | ferr_suprime_g_mean | ferr_ap_suprime_g_mean | ferr_decam_g_mean | ferr_ap_decam_g_mean | ferr_megacam_g_mean | ferr_ap_megacam_g_mean | ferr_gpc1_g_mean | ferr_ap_gpc1_g_mean | ferr_suprime_r_mean | ferr_ap_suprime_r_mean | ferr_gpc1_r_mean | ferr_ap_gpc1_r_mean | ferr_megacam_r_mean | ferr_ap_megacam_r_mean | ferr_omegacam_r_mean | ferr_ap_omegacam_r_mean | ferr_decam_r_mean | ferr_ap_decam_r_mean | ferr_gpc1_i_mean | ferr_ap_gpc1_i_mean | ferr_megacam_i_mean | ferr_ap_megacam_i_mean | ferr_omegacam_i_mean | ferr_ap_omegacam_i_mean | ferr_suprime_i_mean | ferr_ap_suprime_i_mean | ferr_gpc1_z_mean | ferr_ap_gpc1_z_mean | ferr_vista_z_mean | ferr_ap_vista_z_mean | ferr_megacam_z_mean | ferr_ap_megacam_z_mean | ferr_suprime_z_mean | ferr_ap_suprime_z_mean | ferr_decam_z_mean | ferr_ap_decam_z_mean | ferr_gpc1_y_mean | ferr_ap_gpc1_y_mean | ferr_suprime_y_mean | ferr_ap_suprime_y_mean | ferr_vista_y_mean | ferr_ap_vista_y_mean | ferr_ukidss_y_mean | ferr_ap_ukidss_y_mean | ferr_ukidss_j_mean | ferr_ap_ukidss_j_mean | ferr_vista_j_mean | ferr_ap_vista_j_mean | ferr_ukidss_h_mean | ferr_ap_ukidss_h_mean | ferr_vista_h_mean | ferr_ap_vista_h_mean | ferr_vista_ks_mean | ferr_ap_vista_ks_mean | ferr_ukidss_k_mean | ferr_ap_ukidss_k_mean | ferr_pacs_green_mean | ferr_pacs_red_mean | ferr_spire_250_mean | ferr_spire_350_mean | ferr_spire_500_mean | ferr_ap_u_mean | ferr_u_mean | ferr_ap_g_mean | ferr_g_mean | ferr_ap_r_mean | ferr_r_mean | ferr_ap_i_mean | ferr_i_mean | ferr_ap_z_mean | ferr_z_mean | ferr_ap_y_mean | ferr_y_mean | ferr_ap_j_mean | ferr_j_mean | ferr_ap_h_mean | ferr_h_mean | ferr_ap_k_mean | ferr_k_mean | ferr_ap_ks_mean | ferr_ks_mean | ferr_wfc_u_mean | ferr_ap_wfc_u_mean | ferr_wfc_g_mean | ferr_ap_wfc_g_mean | ferr_wfc_r_mean | ferr_ap_wfc_r_mean | ferr_megacam_y_mean | ferr_wfc_i_mean | ferr_ap_wfc_i_mean | ferr_wfc_z_mean | ferr_ap_wfc_z_mean | ferr_irac_i1_mean | ferr_ap_irac_i1_mean | ferr_irac_i2_mean | ferr_ap_irac_i2_mean | ferr_irac_i3_mean | ferr_ap_irac_i3_mean | ferr_irac_i4_mean | ferr_ap_irac_i4_mean | ferr_mips_24_mean | ferr_suprime_ib427_mean | ferr_ap_suprime_ib427_mean | ferr_suprime_b_mean | ferr_ap_suprime_b_mean | ferr_suprime_ib464_mean | ferr_ap_suprime_ib464_mean | ferr_suprime_ia484_mean | ferr_ap_suprime_ia484_mean | ferr_suprime_ib505_mean | ferr_ap_suprime_ib505_mean | ferr_suprime_ia527_mean | ferr_ap_suprime_ia527_mean | ferr_suprime_v_mean | ferr_ap_suprime_v_mean | ferr_suprime_ib574_mean | ferr_ap_suprime_ib574_mean | ferr_acs_f606w_mean | ferr_suprime_ia624_mean | ferr_ap_suprime_ia624_mean | ferr_suprime_rc_mean | ferr_ap_suprime_rc_mean | ferr_suprime_ia679_mean | ferr_ap_suprime_ia679_mean | ferr_suprime_ib709_mean | ferr_ap_suprime_ib709_mean | ferr_suprime_nb711_mean | ferr_ap_suprime_nb711_mean | ferr_suprime_ia738_mean | ferr_ap_suprime_ia738_mean | ferr_suprime_ip_mean | ferr_ap_suprime_ip_mean | ferr_suprime_ia767_mean | ferr_ap_suprime_ia767_mean | ferr_acs_f814w_mean | ferr_suprime_nb816_mean | ferr_ap_suprime_nb816_mean | ferr_suprime_zp_mean | ferr_ap_suprime_zp_mean | ferr_suprime_ib827_mean | ferr_ap_suprime_ib827_mean | ferr_suprime_zpp_mean | ferr_ap_suprime_zpp_mean | ferr_suprime_n921_mean | ferr_ap_suprime_n921_mean | ferr_wfc3_f125w_mean | ferr_wircam_j_mean | ferr_ap_wircam_j_mean | ferr_wfc3_f140w_mean | ferr_ap_wfc3_f140w_mean | ferr_wfc3_f160w_mean | ferr_ap_wfc3_f160w_mean | ferr_wircam_h_mean | ferr_ap_wircam_h_mean | ferr_wircam_ks_mean | ferr_ap_wircam_ks_mean | ferr_decam_i_mean | ferr_ap_decam_i_mean | ferr_omegacam_z_mean | ferr_ap_omegacam_z_mean | ferr_decam_y_mean | ferr_ap_decam_y_mean | ferr_mmt_u_mean | ferr_cfht12k_b_mean | ferr_mmt_g_mean | ferr_90prime_g_mean | ferr_ap_90prime_g_mean | ferr_ap_acs_f606w_mean | ferr_90prime_r_mean | ferr_ap_90prime_r_mean | ferr_cfht12k_r_mean | ferr_mmt_i_mean | ferr_ap_acs_f814w_mean | ferr_cfht12k_i_mean | ferr_mmt_z_mean | ferr_mosaic_z_mean | ferr_ap_mosaic_z_mean | ferr_nicmos_f110w_mean | ferr_wircs_j_mean | ferr_ap_wircs_j_mean | ferr_omega2000_j_mean | ferr_newfirm_j1_mean | ferr_ap_newfirm_j1_mean | ferr_newfirm_j2_mean | ferr_ap_newfirm_j2_mean | ferr_newfirm_j3_mean | ferr_ap_newfirm_j3_mean | ferr_ap_wfc3_f125w_mean | ferr_nicmos_f160w_mean | ferr_newfirm_h1_mean | ferr_ap_newfirm_h1_mean | ferr_newfirm_h2_mean | ferr_ap_newfirm_h2_mean | ferr_omega2000_ks_mean | ferr_newfirm_k_mean | ferr_ap_newfirm_k_mean | ferr_wircs_k_mean | ferr_ap_wircs_k_mean | ferr_moircs_ks_mean | ferr_wfi_b123_mean | ferr_ap_wfi_b123_mean | ferr_wfi_b_mean | ferr_ap_wfi_b_mean | ferr_wfi_v_mean | ferr_ap_wfi_v_mean | ferr_wfi_r_mean | ferr_ap_wfi_r_mean | ferr_sdss_u_mean | ferr_ap_sdss_u_mean | ferr_sdss_g_mean | ferr_ap_sdss_g_mean | ferr_sdss_r_mean | ferr_ap_sdss_r_mean | ferr_sdss_i_mean | ferr_ap_sdss_i_mean | ferr_suprime_n816_mean | ferr_ap_suprime_n816_mean | ferr_sdss_z_mean | ferr_ap_sdss_z_mean | ferr_wircam_y_mean | ferr_ap_megacam_y_mean | ferr_hawki_k_mean | ferr_mosaic_r_mean | ferr_ap_mosaic_r_mean | ferr_wfi_u_mean | ferr_ap_wfi_u_mean | ferr_wfi_416nm_mean | ferr_ap_wfi_416nm_mean | ferr_acs_f435w_mean | ferr_wfi_461nm_mean | ferr_ap_wfi_461nm_mean | ferr_wfi_485nm_mean | ferr_ap_wfi_485nm_mean | ferr_wfi_518nm_mean | ferr_ap_wfi_518nm_mean | ferr_wfi_571nm_mean | ferr_ap_wfi_571nm_mean | ferr_wfi_604nm_mean | ferr_ap_wfi_604nm_mean | ferr_wfi_646nm_mean | ferr_ap_wfi_646nm_mean | ferr_wfi_696nm_mean | ferr_ap_wfi_696nm_mean | ferr_wfi_753nm_mean | ferr_ap_wfi_753nm_mean | ferr_acs_f775w_mean | ferr_wfi_815nm_mean | ferr_ap_wfi_815nm_mean | ferr_wfi_856nm_mean | ferr_ap_wfi_856nm_mean | ferr_wfi_i_mean | ferr_ap_wfi_i_mean | ferr_acs_f850lp_mean | ferr_wfi_914nm_mean | ferr_ap_wfi_914nm_mean | ferr_wfc3_f098m_mean | ferr_wfc3_f105w_mean | ferr_isaac_k_mean | ferr_lbc_u_mean | ferr_ap_lbc_u_mean | ferr_mosaic_b_mean | ferr_ap_mosaic_b_mean | ferr_mosaic_i_mean | ferr_ap_mosaic_i_mean | ferr_90prime_z_mean | ferr_ap_90prime_z_mean | ferr_lbc_y_mean | ferr_ap_lbc_y_mean | ferr_newfirm_j_mean | ferr_ap_newfirm_j_mean | ferr_newfirm_h_mean | ferr_ap_newfirm_h_mean | ferr_tifkam_ks_mean | ferr_ap_tifkam_ks_mean | ferr_mosaic_u_mean | ferr_ap_mosaic_u_mean | ferr_quirc_hk_mean | ferr_ap_quirc_hk_mean | ferr_moircs_k_mean |
\n",
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\n",
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\n",
"1048578 | 0.8374801278114319 | 0.38461706042289734 | nan | nan | 0.13199174404144287 | 0.08947917819023132 | 0.03753457963466644 | 0.021378248929977417 | 0.5586686730384827 | 1.9375477222638438e-07 | nan | nan | 12.121881520450751 | 14.219757107847755 | 0.06271658837795258 | 0.035876981914043427 | 25.580592053803674 | 24.816544251132886 | nan | nan | 0.16909188032150269 | 0.1157679334282875 | 0.7864540815353394 | 2.8689498776657274e-07 | 3.572268270136464 | 2.2936159986913385 | nan | nan | 0.28673532605171204 | 0.19726121425628662 | 0.07919932901859283 | 0.04718156158924103 | 167.36699694439335 | 387.52458881817296 | 1.5988597869873047 | 0.568454921245575 | nan | nan | 0.11560878157615662 | 0.0698060691356659 | 0.3262929916381836 | 2.2915148178981326e-07 | 133.633461973311 | 93.6458186809371 | 0.2925579249858856 | 0.15956911444664001 | nan | nan | 6.197935104370117 | 4.156373977661133 | 6.926736831665039 | 6.4571452140808105 | 6.202926296548745 | 2.236706224904544 | 9.478426933288574 | 5.920647144317627 | 7.503037957821862 | 2.364868815265485 | 8.65422657208565 | 3.0682808615944603 | 11.872732162475586 | 6.919188976287842 | nan | nan | 3925.2880859375 | 3938.692138671875 | 4882.40625 | 0.8374801278114319 | 0.8374801278114319 | 0.03753457963466644 | 0.03753457963466644 | 0.06271658837795258 | 0.06271658837795258 | 0.07919932901859283 | 0.07919932901859283 | 0.11560878157615662 | 0.11560878157615662 | 0.2925579249858856 | 0.2925579249858856 | 6.202926296548745 | 6.202926296548745 | 7.503037957821862 | 7.503037957821862 | 11.872732162475586 | 11.872732162475586 | 8.65422657208565 | 8.65422657208565 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 |
\n",
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\n",
"1048580 | 0.48730310797691345 | 0.29117441177368164 | nan | nan | 0.14206333458423615 | 0.09364397823810577 | 0.04043122008442879 | 0.020199574530124664 | 0.22086645662784576 | 2.1773541902803117e-07 | nan | nan | 1.395442554979377 | 1.476383890712886 | 0.05988714098930359 | 0.03168788179755211 | 1.4732675668414732 | 1.4402826042895163 | nan | nan | 0.20350167155265808 | 0.11573956161737442 | 0.28047841787338257 | 3.132594486032758e-07 | 1.9657536146371388 | 1.5953518475738704 | nan | nan | 0.296855628490448 | 0.19229568541049957 | 0.08422387391328812 | 0.042326975613832474 | 2.8421359166686493 | 2.487705507793428 | 1.3199083805084229 | 0.6216070055961609 | nan | nan | 0.12216420471668243 | 0.06250172853469849 | 0.18555766344070435 | 2.303269468484359e-07 | 5.838725505299378 | 5.265480305286727 | 0.29505807161331177 | 0.14537382125854492 | nan | nan | 4.18081521987915 | 2.935739517211914 | 5.623197555541992 | 4.0921220779418945 | 4.336619281768799 | 1.7810975597018288 | 6.478527545928955 | 4.374551296234131 | 4.117823640505473 | 1.7801817740712846 | 6.11608852039684 | 2.522485147822987 | 8.667695999145508 | 5.697091579437256 | nan | nan | 3889.661865234375 | 3670.824462890625 | 5090.30419921875 | 0.48730310797691345 | 0.48730310797691345 | 0.04043122008442879 | 0.04043122008442879 | 0.05988714098930359 | 0.05988714098930359 | 0.08422387391328812 | 0.08422387391328812 | 0.12216420471668243 | 0.12216420471668243 | 0.29505807161331177 | 0.29505807161331177 | 4.336619281768799 | 4.336619281768799 | 4.117823640505473 | 4.117823640505473 | 8.667695999145508 | 8.667695999145508 | 6.11608852039684 | 6.11608852039684 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 | 1e+20 |
\n",
"
"
],
"text/plain": [
"\n",
"hp_idx_O_10 ferr_omegacam_u_mean ... ferr_ap_quirc_hk_mean ferr_moircs_k_mean\n",
" uJy ... uJy uJy \n",
" int64 float64 ... float64 float64 \n",
"----------- -------------------- ... --------------------- ------------------\n",
" 1048576 0.5253896117210388 ... 1e+20 1e+20\n",
" 1048577 0.551311731338501 ... 1e+20 1e+20\n",
" 1048578 0.8374801278114319 ... 1e+20 1e+20\n",
" 1048579 0.5537455081939697 ... 1e+20 1e+20\n",
" 1048580 0.48730310797691345 ... 1e+20 1e+20"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"full_depth[:5]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
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"name": "helpint"
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