Gabriel Brammer
spectroscopy nirspec release catalog
(This page is auto-generated from the Jupyter notebook nirspec-merged-table-v4.ipynb.)
Demo of full merged table of NIRSpec spectra reduced with msaexp. The merged columns are taken from the database tables
nirspec_extractions- Basic spectrum parameters (grating, mask, exposure time, etc.)nirspec_redshifts- Redshift fit results, emission line fluxesnirspec_redshifts_manual- Grades and comments from visual inspectionnirspec_integrated- Observed- and rest-frame filters integrated through the spectra at the derived redshiftgrizli_photometry- Photometry and some eazy outputs of the nearest counterpart in the DJA/grizli photometric catalogs
The public spectra are shown in a large overview table at public_prelim_v4.2.html.
# Install dependencies, e.g., on Google Colab
try:
import msaexp
except ImportError:
! pip install msaexp
! pip install git+https://github.com/karllark/dust_attenuation.git
import eazy
eazy.fetch_eazy_photoz()
%matplotlib inline
import os
import yaml
import numpy as np
import matplotlib.pyplot as plt
import warnings
warnings.filterwarnings('ignore')
from scipy.spatial import cKDTree
import astropy.io.fits as pyfits
from astropy.utils.data import download_file
from astropy.cosmology import WMAP9
import astropy.units as u
import grizli
import grizli.catalog
from grizli import utils
import eazy
import msaexp
print(f'grizli version: {grizli.__version__}')
print(f'eazy-py version: {eazy.__version__}')
print(f'msaexp version: {msaexp.__version__}')
grizli version: 1.12.12.dev5+g5896d62.d20250426
eazy-py version: 0.8.5
msaexp version: 0.9.8.dev3+ge0e3f39.d20250429
Read the table
# Full table
table_url = "https://s3.amazonaws.com/msaexp-nirspec/extractions/dja_msaexp_emission_lines_v4.0.csv.gz"
tab = utils.read_catalog(download_file(table_url, cache=True), format='csv')
# Column descriptions
columns_url = "https://s3.amazonaws.com/msaexp-nirspec/extractions/dja_msaexp_emission_lines_v4.0.columns.csv"
tab_columns = utils.read_catalog(download_file(columns_url, cache=True), format='csv')
# Set column metadata
for row in tab_columns:
c = row['column']
if row['unit'] != '--':
tab[c].unit = row['unit']
if row['format'] != '--':
tab[c].format = row['format']
if row['description'] != '--':
tab[c].description = row['description']
tab.info()
<GTable length=52181>
name dtype unit format description class n_bad
------------------- ------- ------ ------ ---------------------------------------------------------------------------------------- ------------ -----
file str57 DJA filename Column 0
srcid int64 Source ID from APT plan Column 0
ra float64 deg .8f RA from APT plan Column 0
dec float64 deg .8f Dec from APT plan Column 0
grating str5 NIRSpec grating Column 0
filter str6 Blocking filter Column 0
effexptm float64 Effective exposure time of each exposure Column 0
nfiles int64 Number of files combined in final spectrum Column 0
dataset str72 Filename of first exposure Column 0
msamet str25 MSA metadata file Column 0
msaid int64 MSA metadata ID Column 0
msacnf int64 MSA metadata config Column 0
dithn int64 Dither number Column 0
slitid int64 MSA plan slit ID Column 0
root str24 DJA program + mask rootname Column 0
npix int64 Number of pixels in the 2D spectrum Column 0
ndet int64 Number of detectors contributing to output Column 0
wmin float64 micron Minimum wavelength of the combined spectrum Column 0
wmax float64 micron Maximum wavelength of the combined spectrum Column 0
wmaxsn float64 micron Wavelength of maximum signal to noise Column 0
sn10 float64 10th percentile SN Column 0
flux10 float64 Flux at sn10 Column 0
err10 float64 Uncertainty at sn50 Column 0
sn50 float64 50th percentile SN Column 0
flux50 float64 Flux at sn50 Column 0
err50 float64 Uncertainty at sn90 Column 0
sn90 float64 90th percentile SN Column 0
flux90 float64 Flux at sn90 Column 0
err90 float64 Uncertainty at sn90 Column 0
xstart int64 Starting detector x coordinate of 2D cutout Column 0
ystart int64 Starting detector y coordinate of 2D cutout Column 0
xsize int64 x size of 2D cutout Column 0
ysize int64 y size of 2D cutout Column 0
slit_pa float64 Estimated PA of the slitlet Column 0
pa_v3 float64 Estimated PA of the spacecraft V3 axis Column 0
srcypix float64 Location of the source in the 2D spectrum Column 0
profcen float64 Profile offset relative to the expected center Column 0
profsig float64 Derived profile width in pixels added to PSF Column 0
ctime float64 UNIX time when file was generated Column 0
version str29 MSAEXP code version Column 0
exptime float64 Estimated total exposure time Column 0
contchi2 float64 Chi2 of the spline continuum fit Column 0
dof int64 Total number of pixels in the redshift + line fit Column 0
fullchi2 float64 Chi2 of the full continuum + line fit Column 0
line_ariii_7138 float64 Line flux of ariii_7138 1e-20 erg/s/cm2/A MaskedColumn 15150
line_ariii_7138_err float64 MaskedColumn 15154
line_ariii_7753 float64 Line flux of ariii_7753 1e-20 erg/s/cm2/A MaskedColumn 16447
line_ariii_7753_err float64 MaskedColumn 16448
line_bra float64 Line flux of bra 1e-20 erg/s/cm2/A MaskedColumn 50121
line_bra_err float64 MaskedColumn 50121
line_brb float64 Line flux of brb 1e-20 erg/s/cm2/A MaskedColumn 45143
line_brb_err float64 MaskedColumn 45143
line_brd float64 Line flux of brd 1e-20 erg/s/cm2/A MaskedColumn 39919
line_brd_err float64 MaskedColumn 39919
line_brg float64 Line flux of brg 1e-20 erg/s/cm2/A MaskedColumn 42185
line_brg_err float64 MaskedColumn 42185
line_hb float64 Line flux of hb 1e-20 erg/s/cm2/A MaskedColumn 15758
line_hb_err float64 MaskedColumn 15758
line_hd float64 Line flux of hd 1e-20 erg/s/cm2/A MaskedColumn 19039
line_hd_err float64 MaskedColumn 19039
line_hei_1083 float64 Line flux of hei_1083 1e-20 erg/s/cm2/A MaskedColumn 23917
line_hei_1083_err float64 MaskedColumn 23919
line_hei_3889 float64 Line flux of hei_3889 1e-20 erg/s/cm2/A MaskedColumn 28197
line_hei_3889_err float64 MaskedColumn 28199
line_hei_5877 float64 Line flux of hei_5877 1e-20 erg/s/cm2/A MaskedColumn 14136
line_hei_5877_err float64 MaskedColumn 14136
line_hei_7065 float64 Line flux of hei_7065 1e-20 erg/s/cm2/A MaskedColumn 14970
line_hei_7065_err float64 MaskedColumn 14974
line_hei_8446 float64 Line flux of hei_8446 1e-20 erg/s/cm2/A MaskedColumn 18135
line_hei_8446_err float64 MaskedColumn 18135
line_heii_4687 float64 Line flux of heii_4687 1e-20 erg/s/cm2/A MaskedColumn 34207
line_heii_4687_err float64 MaskedColumn 34207
line_hg float64 Line flux of hg 1e-20 erg/s/cm2/A MaskedColumn 17895
line_hg_err float64 MaskedColumn 17895
line_lya float64 Line flux of lya 1e-20 erg/s/cm2/A MaskedColumn 42233
line_lya_err float64 MaskedColumn 42233
line_mgii float64 Line flux of mgii 1e-20 erg/s/cm2/A MaskedColumn 26145
line_mgii_err float64 MaskedColumn 26145
line_neiii_3867 float64 Line flux of neiii_3867 1e-20 erg/s/cm2/A MaskedColumn 36500
line_neiii_3867_err float64 MaskedColumn 36501
line_neiii_3968 float64 Line flux of neiii_3968 1e-20 erg/s/cm2/A MaskedColumn 19795
line_neiii_3968_err float64 MaskedColumn 19796
line_nev_3346 float64 Line flux of nev_3346 1e-20 erg/s/cm2/A MaskedColumn 23094
line_nev_3346_err float64 MaskedColumn 23094
line_nevi_3426 float64 Line flux of nevi_3426 1e-20 erg/s/cm2/A MaskedColumn 22671
line_nevi_3426_err float64 MaskedColumn 22672
line_niii_1750 float64 Line flux of niii_1750 1e-20 erg/s/cm2/A MaskedColumn 34895
line_niii_1750_err float64 MaskedColumn 34895
line_oi_6302 float64 Line flux of oi_6302 1e-20 erg/s/cm2/A MaskedColumn 13908
line_oi_6302_err float64 MaskedColumn 13908
line_oii float64 Line flux of oii 1e-20 erg/s/cm2/A MaskedColumn 21033
line_oii_7325 float64 Line flux of oii_7325 1e-20 erg/s/cm2/A MaskedColumn 28002
line_oii_7325_err float64 MaskedColumn 28003
line_oii_err float64 MaskedColumn 21034
line_oiii float64 Line flux of combined OIII 4959+5007 1e-20 erg/s/cm2/A MaskedColumn 33972
line_oiii_1663 float64 Line flux of oiii_1663 1e-20 erg/s/cm2/A MaskedColumn 35844
line_oiii_1663_err float64 MaskedColumn 35844
line_oiii_4363 float64 Line flux of oiii_4363 1e-20 erg/s/cm2/A MaskedColumn 35022
line_oiii_4363_err float64 MaskedColumn 35022
line_oiii_4959 float64 Line flux of oiii_4959 1e-20 erg/s/cm2/A MaskedColumn 33702
line_oiii_4959_err float64 MaskedColumn 33702
line_oiii_5007 float64 Line flux of oiii_5007 1e-20 erg/s/cm2/A MaskedColumn 33582
line_oiii_5007_err float64 MaskedColumn 33582
line_oiii_err float64 MaskedColumn 33972
line_pa10 float64 Line flux of pa10 1e-20 erg/s/cm2/A MaskedColumn 19644
line_pa10_err float64 MaskedColumn 19647
line_pa8 float64 Line flux of pa8 1e-20 erg/s/cm2/A MaskedColumn 20954
line_pa8_err float64 MaskedColumn 20955
line_pa9 float64 Line flux of pa9 1e-20 erg/s/cm2/A MaskedColumn 20157
line_pa9_err float64 MaskedColumn 20158
line_paa float64 Line flux of paa 1e-20 erg/s/cm2/A MaskedColumn 38990
line_paa_err float64 MaskedColumn 38990
line_pab float64 Line flux of pab 1e-20 erg/s/cm2/A MaskedColumn 29296
line_pab_err float64 MaskedColumn 29297
line_pad float64 Line flux of pad 1e-20 erg/s/cm2/A MaskedColumn 22224
line_pad_err float64 MaskedColumn 22226
line_pag float64 Line flux of pag 1e-20 erg/s/cm2/A MaskedColumn 24212
line_pag_err float64 MaskedColumn 24214
line_pfb float64 Line flux of pfb 1e-20 erg/s/cm2/A MaskedColumn 51327
line_pfb_err float64 MaskedColumn 51327
line_pfd float64 Line flux of pfd 1e-20 erg/s/cm2/A MaskedColumn 48116
line_pfd_err float64 MaskedColumn 48116
line_pfe float64 Line flux of pfe 1e-20 erg/s/cm2/A MaskedColumn 47147
line_pfe_err float64 MaskedColumn 47147
line_pfg float64 Line flux of pfg 1e-20 erg/s/cm2/A MaskedColumn 49381
line_pfg_err float64 MaskedColumn 49381
line_sii float64 Line flux of sii 1e-20 erg/s/cm2/A MaskedColumn 27029
line_sii_err float64 MaskedColumn 27034
line_siii_9068 float64 Line flux of siii_9068 1e-20 erg/s/cm2/A MaskedColumn 19788
line_siii_9068_err float64 MaskedColumn 19791
line_siii_9531 float64 Line flux of siii_9531 1e-20 erg/s/cm2/A MaskedColumn 20920
line_siii_9531_err float64 MaskedColumn 20922
spl_0 float64 Spline continuum coefficient 0 Column 0
spl_0_err float64 Column 0
spl_1 float64 Spline continuum coefficient 1 Column 0
spl_10 float64 Spline continuum coefficient 10 Column 0
spl_10_err float64 Column 0
spl_11 float64 Spline continuum coefficient 11 Column 0
spl_11_err float64 Column 0
spl_12 float64 Spline continuum coefficient 12 Column 0
spl_12_err float64 Column 0
spl_13 float64 Spline continuum coefficient 13 Column 0
spl_13_err float64 Column 0
spl_14 float64 Spline continuum coefficient 14 Column 0
spl_14_err float64 Column 0
spl_15 float64 Spline continuum coefficient 15 Column 0
spl_15_err float64 Column 0
spl_16 float64 Spline continuum coefficient 16 Column 0
spl_16_err float64 Column 0
spl_17 float64 Spline continuum coefficient 17 Column 0
spl_17_err float64 Column 0
spl_18 float64 Spline continuum coefficient 18 Column 0
spl_18_err float64 Column 0
spl_19 float64 Spline continuum coefficient 19 Column 0
spl_19_err float64 Column 0
spl_1_err float64 Column 0
spl_2 float64 Spline continuum coefficient 2 Column 0
spl_20 float64 Spline continuum coefficient 20 Column 0
spl_20_err float64 Column 0
spl_21 float64 Spline continuum coefficient 21 Column 0
spl_21_err float64 Column 0
spl_22 float64 Spline continuum coefficient 22 Column 0
spl_22_err float64 Column 0
spl_2_err float64 Column 0
spl_3 float64 Spline continuum coefficient 3 Column 0
spl_3_err float64 Column 0
spl_4 float64 Spline continuum coefficient 4 Column 0
spl_4_err float64 Column 0
spl_5 float64 Spline continuum coefficient 5 Column 0
spl_5_err float64 MaskedColumn 1
spl_6 float64 Spline continuum coefficient 6 Column 0
spl_6_err float64 MaskedColumn 1
spl_7 float64 Spline continuum coefficient 7 Column 0
spl_7_err float64 MaskedColumn 5
spl_8 float64 Spline continuum coefficient 8 Column 0
spl_8_err float64 MaskedColumn 1
spl_9 float64 Spline continuum coefficient 9 Column 0
spl_9_err float64 MaskedColumn 2
zline float64 Redshift where the lines where fit Column 0
line_civ_1549 float64 Line flux of civ_1549 1e-20 erg/s/cm2/A MaskedColumn 37413
line_civ_1549_err float64 MaskedColumn 37413
line_h10 float64 Line flux of h10 1e-20 erg/s/cm2/A MaskedColumn 44444
line_h10_err float64 MaskedColumn 44444
line_h11 float64 Line flux of h11 1e-20 erg/s/cm2/A MaskedColumn 44547
line_h11_err float64 MaskedColumn 44547
line_h12 float64 Line flux of h12 1e-20 erg/s/cm2/A MaskedColumn 44585
line_h12_err float64 MaskedColumn 44585
line_h7 float64 Line flux of h7 1e-20 erg/s/cm2/A MaskedColumn 43944
line_h7_err float64 MaskedColumn 43944
line_h8 float64 Line flux of h8 1e-20 erg/s/cm2/A MaskedColumn 44205
line_h8_err float64 MaskedColumn 44205
line_h9 float64 Line flux of h9 1e-20 erg/s/cm2/A MaskedColumn 44333
line_h9_err float64 MaskedColumn 44333
line_ha float64 Line flux of ha 1e-20 erg/s/cm2/A MaskedColumn 39401
line_ha_err float64 MaskedColumn 39401
line_hei_6680 float64 Line flux of hei_6680 1e-20 erg/s/cm2/A MaskedColumn 39466
line_hei_6680_err float64 MaskedColumn 39466
line_heii_1640 float64 Line flux of heii_1640 1e-20 erg/s/cm2/A MaskedColumn 36364
line_heii_1640_err float64 MaskedColumn 36364
line_nii_6549 float64 Line flux of nii_6549 1e-20 erg/s/cm2/A MaskedColumn 39397
line_nii_6549_err float64 MaskedColumn 39397
line_nii_6584 float64 Line flux of nii_6584 1e-20 erg/s/cm2/A MaskedColumn 39399
line_nii_6584_err float64 MaskedColumn 39399
line_oii_7323 float64 Line flux of oii_7323 1e-20 erg/s/cm2/A MaskedColumn 39822
line_oii_7323_err float64 MaskedColumn 39822
line_oii_7332 float64 Line flux of oii_7332 1e-20 erg/s/cm2/A MaskedColumn 39828
line_oii_7332_err float64 MaskedColumn 39828
line_sii_6717 float64 Line flux of sii_6717 1e-20 erg/s/cm2/A MaskedColumn 39494
line_sii_6717_err float64 MaskedColumn 39494
line_sii_6731 float64 Line flux of sii_6731 1e-20 erg/s/cm2/A MaskedColumn 39479
line_sii_6731_err float64 MaskedColumn 39479
line_siii_6314 float64 Line flux of siii_6314 1e-20 erg/s/cm2/A MaskedColumn 39478
line_siii_6314_err float64 MaskedColumn 39478
escale0 float64 Column 0
escale1 float64 Column 0
line_ciii_1906 float64 Line flux of ciii_1906 1e-20 erg/s/cm2/A MaskedColumn 33196
line_ciii_1906_err float64 MaskedColumn 33196
line_niv_1487 float64 Line flux of niv_1487 1e-20 erg/s/cm2/A MaskedColumn 39752
line_niv_1487_err float64 MaskedColumn 39752
line_pah_3p29 float64 Line flux of pah_3p29 1e-20 erg/s/cm2/A MaskedColumn 48134
line_pah_3p29_err float64 MaskedColumn 48134
line_pah_3p40 float64 Line flux of pah_3p40 1e-20 erg/s/cm2/A MaskedColumn 48134
line_pah_3p40_err float64 MaskedColumn 48134
eqw_ariii_7138 float64 Observed-frame equivalent width in ariii_7138 MaskedColumn 15173
eqw_ariii_7753 float64 Observed-frame equivalent width in ariii_7753 MaskedColumn 16476
eqw_bra float64 Observed-frame equivalent width in bra MaskedColumn 50121
eqw_brb float64 Observed-frame equivalent width in brb MaskedColumn 45149
eqw_brd float64 Observed-frame equivalent width in brd MaskedColumn 39926
eqw_brg float64 Observed-frame equivalent width in brg MaskedColumn 42193
eqw_ciii_1906 float64 Observed-frame equivalent width in ciii_1906 MaskedColumn 33205
eqw_civ_1549 float64 Observed-frame equivalent width in civ_1549 MaskedColumn 37416
eqw_ha_nii float64 Observed-frame equivalent width in ha_nii MaskedColumn 26870
eqw_hb float64 Observed-frame equivalent width in hb MaskedColumn 15780
eqw_hd float64 Observed-frame equivalent width in hd MaskedColumn 19054
eqw_hei_1083 float64 Observed-frame equivalent width in hei_1083 MaskedColumn 23935
eqw_hei_3889 float64 Observed-frame equivalent width in hei_3889 MaskedColumn 28214
eqw_hei_5877 float64 Observed-frame equivalent width in hei_5877 MaskedColumn 14154
eqw_hei_7065 float64 Observed-frame equivalent width in hei_7065 MaskedColumn 14996
eqw_hei_8446 float64 Observed-frame equivalent width in hei_8446 MaskedColumn 18156
eqw_heii_1640 float64 Observed-frame equivalent width in heii_1640 MaskedColumn 36368
eqw_heii_4687 float64 Observed-frame equivalent width in heii_4687 MaskedColumn 34211
eqw_hg float64 Observed-frame equivalent width in hg MaskedColumn 17912
eqw_lya float64 Observed-frame equivalent width in lya MaskedColumn 42233
eqw_mgii float64 Observed-frame equivalent width in mgii MaskedColumn 26165
eqw_neiii_3867 float64 Observed-frame equivalent width in neiii_3867 MaskedColumn 36508
eqw_neiii_3968 float64 Observed-frame equivalent width in neiii_3968 MaskedColumn 19812
eqw_nev_3346 float64 Observed-frame equivalent width in nev_3346 MaskedColumn 23114
eqw_nevi_3426 float64 Observed-frame equivalent width in nevi_3426 MaskedColumn 22687
eqw_niii_1750 float64 Observed-frame equivalent width in niii_1750 MaskedColumn 34900
eqw_niv_1487 float64 Observed-frame equivalent width in niv_1487 MaskedColumn 39754
eqw_oi_6302 float64 Observed-frame equivalent width in oi_6302 MaskedColumn 13929
eqw_oii float64 Observed-frame equivalent width in oii MaskedColumn 21052
eqw_oii_7325 float64 Observed-frame equivalent width in oii_7325 MaskedColumn 28023
eqw_oiii float64 Observed-frame equivalent width in oiii MaskedColumn 33982
eqw_oiii_1663 float64 Observed-frame equivalent width in oiii_1663 MaskedColumn 35847
eqw_oiii_4363 float64 Observed-frame equivalent width in oiii_4363 MaskedColumn 35027
eqw_oiii_4959 float64 Observed-frame equivalent width in oiii_4959 MaskedColumn 33706
eqw_oiii_5007 float64 Observed-frame equivalent width in oiii_5007 MaskedColumn 33587
eqw_pa10 float64 Observed-frame equivalent width in pa10 MaskedColumn 19660
eqw_pa8 float64 Observed-frame equivalent width in pa8 MaskedColumn 20976
eqw_pa9 float64 Observed-frame equivalent width in pa9 MaskedColumn 20173
eqw_paa float64 Observed-frame equivalent width in paa MaskedColumn 38996
eqw_pab float64 Observed-frame equivalent width in pab MaskedColumn 29323
eqw_pad float64 Observed-frame equivalent width in pad MaskedColumn 22252
eqw_pag float64 Observed-frame equivalent width in pag MaskedColumn 24234
eqw_pfb float64 Observed-frame equivalent width in pfb MaskedColumn 51327
eqw_pfd float64 Observed-frame equivalent width in pfd MaskedColumn 48117
eqw_pfe float64 Observed-frame equivalent width in pfe MaskedColumn 47147
eqw_pfg float64 Observed-frame equivalent width in pfg MaskedColumn 49383
eqw_sii float64 Observed-frame equivalent width in sii MaskedColumn 27047
eqw_siii_9068 float64 Observed-frame equivalent width in siii_9068 MaskedColumn 19807
eqw_siii_9531 float64 Observed-frame equivalent width in siii_9531 MaskedColumn 20940
line_ha_nii float64 Line flux of combined Ha+NII with 3:1 ratio MaskedColumn 26855
line_ha_nii_err float64 MaskedColumn 26859
eqw_h10 float64 Observed-frame equivalent width in h10 MaskedColumn 44444
eqw_h11 float64 Observed-frame equivalent width in h11 MaskedColumn 44547
eqw_h12 float64 Observed-frame equivalent width in h12 MaskedColumn 44585
eqw_h7 float64 Observed-frame equivalent width in h7 MaskedColumn 43944
eqw_h8 float64 Observed-frame equivalent width in h8 MaskedColumn 44205
eqw_h9 float64 Observed-frame equivalent width in h9 MaskedColumn 44333
eqw_ha float64 Observed-frame equivalent width in ha MaskedColumn 39403
eqw_hei_6680 float64 Observed-frame equivalent width in hei_6680 MaskedColumn 39466
eqw_nii_6549 float64 Observed-frame equivalent width in nii_6549 MaskedColumn 39398
eqw_nii_6584 float64 Observed-frame equivalent width in nii_6584 MaskedColumn 39400
eqw_oii_7323 float64 Observed-frame equivalent width in oii_7323 MaskedColumn 39822
eqw_oii_7332 float64 Observed-frame equivalent width in oii_7332 MaskedColumn 39828
eqw_sii_6717 float64 Observed-frame equivalent width in sii_6717 MaskedColumn 39494
eqw_sii_6731 float64 Observed-frame equivalent width in sii_6731 MaskedColumn 39479
eqw_siii_6314 float64 Observed-frame equivalent width in siii_6314 MaskedColumn 39478
sn_line float64 .1f Column 0
ztime float64 UNIX time of redshift fit Column 0
line_ci_9850 float64 Line flux of ci_9850 1e-20 erg/s/cm2/A MaskedColumn 21666
line_ci_9850_err float64 MaskedColumn 21667
line_feii_11128 float64 Line flux of feii_11128 1e-20 erg/s/cm2/A MaskedColumn 24715
line_feii_11128_err float64 MaskedColumn 24717
line_pii_11886 float64 Line flux of pii_11886 1e-20 erg/s/cm2/A MaskedColumn 26724
line_pii_11886_err float64 MaskedColumn 26724
line_feii_12570 float64 Line flux of feii_12570 1e-20 erg/s/cm2/A MaskedColumn 28726
line_feii_12570_err float64 MaskedColumn 28726
eqw_ci_9850 float64 Observed-frame equivalent width in ci_9850 MaskedColumn 21687
eqw_feii_11128 float64 Observed-frame equivalent width in feii_11128 MaskedColumn 24742
eqw_pii_11886 float64 Observed-frame equivalent width in pii_11886 MaskedColumn 26738
eqw_feii_12570 float64 Observed-frame equivalent width in feii_12570 MaskedColumn 28748
line_feii_16440 float64 Line flux of feii_16440 1e-20 erg/s/cm2/A MaskedColumn 35778
line_feii_16440_err float64 MaskedColumn 35778
line_feii_16877 float64 Line flux of feii_16877 1e-20 erg/s/cm2/A MaskedColumn 36703
line_feii_16877_err float64 MaskedColumn 36703
line_brf float64 Line flux of brf 1e-20 erg/s/cm2/A MaskedColumn 37353
line_brf_err float64 MaskedColumn 37353
line_feii_17418 float64 Line flux of feii_17418 1e-20 erg/s/cm2/A MaskedColumn 37428
line_feii_17418_err float64 MaskedColumn 37428
line_bre float64 Line flux of bre 1e-20 erg/s/cm2/A MaskedColumn 38315
line_bre_err float64 MaskedColumn 38315
line_feii_18362 float64 Line flux of feii_18362 1e-20 erg/s/cm2/A MaskedColumn 38612
line_feii_18362_err float64 MaskedColumn 38612
eqw_feii_16440 float64 Observed-frame equivalent width in feii_16440 MaskedColumn 35789
eqw_feii_16877 float64 Observed-frame equivalent width in feii_16877 MaskedColumn 36712
eqw_brf float64 Observed-frame equivalent width in brf MaskedColumn 37362
eqw_feii_17418 float64 Observed-frame equivalent width in feii_17418 MaskedColumn 37435
eqw_bre float64 Observed-frame equivalent width in bre MaskedColumn 38321
eqw_feii_18362 float64 Observed-frame equivalent width in feii_18362 MaskedColumn 38621
valid str5 Redshift matches best z from visual inspection Column 0
objid int64 Unique source identifier Column 0
z_best float64 Best redshift estimate for unique sources Column 0
ztype str1 Source for z_best (G)rating or (P)rism MaskedColumn 16103
z_prism float64 Column 0
z_grating float64 Column 0
phot_correction float64 .2f Scale to photometry -log10(c) = -0.910 log10(flux_radius) + 0.649 log10(profsig) + 0.611 MaskedColumn 15643
phot_flux_radius float64 .2f FLUX_RADIUS from photometric source MaskedColumn 15643
phot_dr float64 MaskedColumn 15643
file_phot str44 MaskedColumn 15643
id_phot int64 MaskedColumn 15643
phot_mag_auto float64 .2f MaskedColumn 15643
phot_f090w_tot_1 float64 MaskedColumn 15643
phot_f090w_etot_1 float64 MaskedColumn 15643
phot_f115w_tot_1 float64 MaskedColumn 15643
phot_f115w_etot_1 float64 MaskedColumn 15643
phot_f150w_tot_1 float64 MaskedColumn 15643
phot_f150w_etot_1 float64 MaskedColumn 15643
phot_f200w_tot_1 float64 MaskedColumn 15643
phot_f200w_etot_1 float64 MaskedColumn 15643
phot_f277w_tot_1 float64 MaskedColumn 15643
phot_f277w_etot_1 float64 MaskedColumn 15643
phot_f356w_tot_1 float64 MaskedColumn 15643
phot_f356w_etot_1 float64 MaskedColumn 15643
phot_f410m_tot_1 float64 MaskedColumn 15643
phot_f410m_etot_1 float64 MaskedColumn 15643
phot_f444w_tot_1 float64 MaskedColumn 15643
phot_f444w_etot_1 float64 MaskedColumn 15643
phot_Av float64 MaskedColumn 15643
phot_mass float64 MaskedColumn 15643
phot_restU float64 MaskedColumn 15643
phot_restV float64 MaskedColumn 15643
phot_restJ float64 MaskedColumn 15643
z_phot float64 MaskedColumn 15643
phot_LHa float64 MaskedColumn 15643
phot_LOIII float64 MaskedColumn 15643
phot_LOII float64 MaskedColumn 15643
grade int64 Grade from visual inspection MaskedColumn 16373
zgrade float64 9.5f Redshift from visual inspection MaskedColumn 16373
comment str74 Comment from visual inspection MaskedColumn 22904
mag_f277w float64 MaskedColumn 17905
obs_239_flux float64 Spectrum flux in wfc_f814w_t81.dat Column 0
obs_205_flux float64 Spectrum flux in f160w.dat Column 0
obs_362_flux float64 Spectrum flux in jwst_nircam_f070w Column 0
obs_363_flux float64 Spectrum flux in jwst_nircam_f090w Column 0
obs_364_flux float64 Spectrum flux in jwst_nircam_f115w Column 0
obs_365_flux float64 Spectrum flux in jwst_nircam_f150w Column 0
obs_366_flux float64 Spectrum flux in jwst_nircam_f200w Column 0
obs_370_flux float64 Spectrum flux in jwst_nircam_f182m Column 0
obs_371_flux float64 Spectrum flux in jwst_nircam_f210m Column 0
obs_375_flux float64 Spectrum flux in jwst_nircam_f277w Column 0
obs_376_flux float64 Spectrum flux in jwst_nircam_f356w Column 0
obs_377_flux float64 Spectrum flux in jwst_nircam_f444w Column 0
obs_379_flux float64 Spectrum flux in jwst_nircam_f250m Column 0
obs_380_flux float64 Spectrum flux in jwst_nircam_f300m Column 0
obs_381_flux float64 Spectrum flux in jwst_nircam_f335m Column 0
obs_382_flux float64 Spectrum flux in jwst_nircam_f360m Column 0
obs_383_flux float64 Spectrum flux in jwst_nircam_f410m Column 0
obs_384_flux float64 Spectrum flux in jwst_nircam_f430m Column 0
obs_385_flux float64 Spectrum flux in jwst_nircam_f460m Column 0
obs_386_flux float64 Spectrum flux in jwst_nircam_f480m Column 0
obs_239_valid int64 Column 0
obs_239_frac float64 Fraction of wfc_f814w_t81.dat covered by spectrum Column 0
obs_239_err float64 Spectrum err in wfc_f814w_t81.dat Column 0
obs_239_full_err float64 Spectrum err in wfc_f814w_t81.dat Column 0
obs_205_valid int64 Column 0
obs_205_frac float64 Fraction of f160w.dat covered by spectrum Column 0
obs_205_err float64 Spectrum err in f160w.dat Column 0
obs_205_full_err float64 Spectrum err in f160w.dat Column 0
obs_362_valid int64 Column 0
obs_362_frac float64 Fraction of jwst_nircam_f070w covered by spectrum Column 0
obs_362_err float64 Spectrum err in jwst_nircam_f070w Column 0
obs_362_full_err float64 Spectrum err in jwst_nircam_f070w Column 0
obs_363_valid int64 Column 0
obs_363_frac float64 Fraction of jwst_nircam_f090w covered by spectrum Column 0
obs_363_err float64 Spectrum err in jwst_nircam_f090w Column 0
obs_363_full_err float64 Spectrum err in jwst_nircam_f090w Column 0
obs_364_valid int64 Column 0
obs_364_frac float64 Fraction of jwst_nircam_f115w covered by spectrum Column 0
obs_364_err float64 Spectrum err in jwst_nircam_f115w Column 0
obs_364_full_err float64 Spectrum err in jwst_nircam_f115w Column 0
obs_365_valid int64 Column 0
obs_365_frac float64 Fraction of jwst_nircam_f150w covered by spectrum Column 0
obs_365_err float64 Spectrum err in jwst_nircam_f150w Column 0
obs_365_full_err float64 Spectrum err in jwst_nircam_f150w Column 0
obs_366_valid int64 Column 0
obs_366_frac float64 Fraction of jwst_nircam_f200w covered by spectrum Column 0
obs_366_err float64 Spectrum err in jwst_nircam_f200w Column 0
obs_366_full_err float64 Spectrum err in jwst_nircam_f200w Column 0
obs_370_valid int64 Column 0
obs_370_frac float64 Fraction of jwst_nircam_f182m covered by spectrum Column 0
obs_370_err float64 Spectrum err in jwst_nircam_f182m Column 0
obs_370_full_err float64 Spectrum err in jwst_nircam_f182m Column 0
obs_371_valid int64 Column 0
obs_371_frac float64 Fraction of jwst_nircam_f210m covered by spectrum Column 0
obs_371_err float64 Spectrum err in jwst_nircam_f210m Column 0
obs_371_full_err float64 Spectrum err in jwst_nircam_f210m Column 0
obs_375_valid int64 Column 0
obs_375_frac float64 Fraction of jwst_nircam_f277w covered by spectrum Column 0
obs_375_err float64 Spectrum err in jwst_nircam_f277w Column 0
obs_375_full_err float64 Spectrum err in jwst_nircam_f277w Column 0
obs_376_valid int64 Column 0
obs_376_frac float64 Fraction of jwst_nircam_f356w covered by spectrum Column 0
obs_376_err float64 Spectrum err in jwst_nircam_f356w Column 0
obs_376_full_err float64 Spectrum err in jwst_nircam_f356w Column 0
obs_377_valid int64 Column 0
obs_377_frac float64 Fraction of jwst_nircam_f444w covered by spectrum Column 0
obs_377_err float64 Spectrum err in jwst_nircam_f444w Column 0
obs_377_full_err float64 Spectrum err in jwst_nircam_f444w Column 0
obs_379_valid int64 Column 0
obs_379_frac float64 Fraction of jwst_nircam_f250m covered by spectrum Column 0
obs_379_err float64 Spectrum err in jwst_nircam_f250m Column 0
obs_379_full_err float64 Spectrum err in jwst_nircam_f250m Column 0
obs_380_valid int64 Column 0
obs_380_frac float64 Fraction of jwst_nircam_f300m covered by spectrum Column 0
obs_380_err float64 Spectrum err in jwst_nircam_f300m Column 0
obs_380_full_err float64 Spectrum err in jwst_nircam_f300m Column 0
obs_381_valid int64 Column 0
obs_381_frac float64 Fraction of jwst_nircam_f335m covered by spectrum Column 0
obs_381_err float64 Spectrum err in jwst_nircam_f335m Column 0
obs_381_full_err float64 Spectrum err in jwst_nircam_f335m Column 0
obs_382_valid int64 Column 0
obs_382_frac float64 Fraction of jwst_nircam_f360m covered by spectrum Column 0
obs_382_err float64 Spectrum err in jwst_nircam_f360m Column 0
obs_382_full_err float64 Spectrum err in jwst_nircam_f360m Column 0
obs_383_valid int64 Column 0
obs_383_frac float64 Fraction of jwst_nircam_f410m covered by spectrum Column 0
obs_383_err float64 Spectrum err in jwst_nircam_f410m Column 0
obs_383_full_err float64 Spectrum err in jwst_nircam_f410m Column 0
obs_384_valid int64 Column 0
obs_384_frac float64 Fraction of jwst_nircam_f430m covered by spectrum Column 0
obs_384_err float64 Spectrum err in jwst_nircam_f430m Column 0
obs_384_full_err float64 Spectrum err in jwst_nircam_f430m Column 0
obs_385_valid int64 Column 0
obs_385_frac float64 Fraction of jwst_nircam_f460m covered by spectrum Column 0
obs_385_err float64 Spectrum err in jwst_nircam_f460m Column 0
obs_385_full_err float64 Spectrum err in jwst_nircam_f460m Column 0
obs_386_valid int64 Column 0
obs_386_frac float64 Fraction of jwst_nircam_f480m covered by spectrum Column 0
obs_386_err float64 Spectrum err in jwst_nircam_f480m Column 0
obs_386_full_err float64 Spectrum err in jwst_nircam_f480m Column 0
rest_120_valid int64 Column 0
rest_120_frac float64 Fraction of galex1500.res covered by spectrum Column 0
rest_120_flux float64 Spectrum flux in galex1500.res Column 0
rest_120_err float64 Spectrum err in galex1500.res Column 0
rest_120_full_err float64 Spectrum err in galex1500.res Column 0
rest_121_valid int64 Column 0
rest_121_frac float64 Fraction of galex2500.res covered by spectrum Column 0
rest_121_flux float64 Spectrum flux in galex2500.res Column 0
rest_121_err float64 Spectrum err in galex2500.res Column 0
rest_121_full_err float64 Spectrum err in galex2500.res Column 0
rest_218_valid int64 Column 0
rest_218_frac float64 Fraction of UV1600.dat covered by spectrum Column 0
rest_218_flux float64 Spectrum flux in UV1600.dat Column 0
rest_218_err float64 Spectrum err in UV1600.dat Column 0
rest_218_full_err float64 Spectrum err in UV1600.dat Column 0
rest_219_valid int64 Column 0
rest_219_frac float64 Fraction of UV2800.dat covered by spectrum Column 0
rest_219_flux float64 Spectrum flux in UV2800.dat Column 0
rest_219_err float64 Spectrum err in UV2800.dat Column 0
rest_219_full_err float64 Spectrum err in UV2800.dat Column 0
rest_270_valid int64 Column 0
rest_270_frac float64 Fraction of Tophat_1400_200.dat covered by spectrum Column 0
rest_270_flux float64 Spectrum flux in Tophat_1400_200.dat Column 0
rest_270_err float64 Spectrum err in Tophat_1400_200.dat Column 0
rest_270_full_err float64 Spectrum err in Tophat_1400_200.dat Column 0
rest_271_valid int64 Column 0
rest_271_frac float64 Fraction of Tophat_1700_200.dat covered by spectrum Column 0
rest_271_flux float64 Spectrum flux in Tophat_1700_200.dat Column 0
rest_271_err float64 Spectrum err in Tophat_1700_200.dat Column 0
rest_271_full_err float64 Spectrum err in Tophat_1700_200.dat Column 0
rest_272_valid int64 Column 0
rest_272_frac float64 Fraction of Tophat_2200_200.dat covered by spectrum Column 0
rest_272_flux float64 Spectrum flux in Tophat_2200_200.dat Column 0
rest_272_err float64 Spectrum err in Tophat_2200_200.dat Column 0
rest_272_full_err float64 Spectrum err in Tophat_2200_200.dat Column 0
rest_274_valid int64 Column 0
rest_274_frac float64 Fraction of Tophat_2800_200.dat covered by spectrum Column 0
rest_274_flux float64 Spectrum flux in Tophat_2800_200.dat Column 0
rest_274_err float64 Spectrum err in Tophat_2800_200.dat Column 0
rest_274_full_err float64 Spectrum err in Tophat_2800_200.dat Column 0
rest_153_valid int64 Column 0
rest_153_frac float64 Fraction of maiz-apellaniz_Johnson_U.res covered by spectrum Column 0
rest_153_flux float64 Spectrum flux in maiz-apellaniz_Johnson_U.res Column 0
rest_153_err float64 Spectrum err in maiz-apellaniz_Johnson_U.res Column 0
rest_153_full_err float64 Spectrum err in maiz-apellaniz_Johnson_U.res Column 0
rest_154_valid int64 Column 0
rest_154_frac float64 Fraction of maiz-apellaniz_Johnson_B.res covered by spectrum Column 0
rest_154_flux float64 Spectrum flux in maiz-apellaniz_Johnson_B.res Column 0
rest_154_err float64 Spectrum err in maiz-apellaniz_Johnson_B.res Column 0
rest_154_full_err float64 Spectrum err in maiz-apellaniz_Johnson_B.res Column 0
rest_155_valid int64 Column 0
rest_155_frac float64 Fraction of maiz-apellaniz_Johnson_V.res covered by spectrum Column 0
rest_155_flux float64 Spectrum flux in maiz-apellaniz_Johnson_V.res Column 0
rest_155_err float64 Spectrum err in maiz-apellaniz_Johnson_V.res Column 0
rest_155_full_err float64 Spectrum err in maiz-apellaniz_Johnson_V.res Column 0
rest_156_valid int64 Column 0
rest_156_frac float64 Fraction of u.dat covered by spectrum Column 0
rest_156_flux float64 Spectrum flux in u.dat Column 0
rest_156_err float64 Spectrum err in u.dat Column 0
rest_156_full_err float64 Spectrum err in u.dat Column 0
rest_157_valid int64 Column 0
rest_157_frac float64 Fraction of g.dat covered by spectrum Column 0
rest_157_flux float64 Spectrum flux in g.dat Column 0
rest_157_err float64 Spectrum err in g.dat Column 0
rest_157_full_err float64 Spectrum err in g.dat Column 0
rest_158_valid int64 Column 0
rest_158_frac float64 Fraction of r.dat covered by spectrum Column 0
rest_158_flux float64 Spectrum flux in r.dat Column 0
rest_158_err float64 Spectrum err in r.dat Column 0
rest_158_full_err float64 Spectrum err in r.dat Column 0
rest_159_valid int64 Column 0
rest_159_frac float64 Fraction of i.dat covered by spectrum Column 0
rest_159_flux float64 Spectrum flux in i.dat Column 0
rest_159_err float64 Spectrum err in i.dat Column 0
rest_159_full_err float64 Spectrum err in i.dat Column 0
rest_160_valid int64 Column 0
rest_160_frac float64 Fraction of z.dat covered by spectrum Column 0
rest_160_flux float64 Spectrum flux in z.dat Column 0
rest_160_err float64 Spectrum err in z.dat Column 0
rest_160_full_err float64 Spectrum err in z.dat Column 0
rest_161_valid int64 Column 0
rest_161_frac float64 Fraction of J.res covered by spectrum Column 0
rest_161_flux float64 Spectrum flux in J.res Column 0
rest_161_err float64 Spectrum err in J.res Column 0
rest_161_full_err float64 Spectrum err in J.res Column 0
rest_162_valid int64 Column 0
rest_162_frac float64 Fraction of H.res covered by spectrum Column 0
rest_162_flux float64 Spectrum flux in H.res Column 0
rest_162_err float64 Spectrum err in H.res Column 0
rest_162_full_err float64 Spectrum err in H.res Column 0
rest_163_valid int64 Column 0
rest_163_frac float64 Fraction of K.res covered by spectrum Column 0
rest_163_flux float64 Spectrum flux in K.res Column 0
rest_163_err float64 Spectrum err in K.res Column 0
rest_163_full_err float64 Spectrum err in K.res Column 0
rest_414_valid int64 Column 0
rest_414_frac float64 Fraction of synthetic_u covered by spectrum Column 0
rest_414_flux float64 Spectrum flux in synthetic_u Column 0
rest_414_err float64 Spectrum err in synthetic_u Column 0
rest_414_full_err float64 Spectrum err in synthetic_u Column 0
rest_415_valid int64 Column 0
rest_415_frac float64 Fraction of synthetic_g covered by spectrum Column 0
rest_415_flux float64 Spectrum flux in synthetic_g Column 0
rest_415_err float64 Spectrum err in synthetic_g Column 0
rest_415_full_err float64 Spectrum err in synthetic_g Column 0
rest_416_valid int64 Column 0
rest_416_frac float64 Fraction of synthetic_i covered by spectrum Column 0
rest_416_flux float64 Spectrum flux in synthetic_i Column 0
rest_416_err float64 Spectrum err in synthetic_i Column 0
rest_416_full_err float64 Spectrum err in synthetic_i Column 0
zrf float64 Redshift used for integrated rest-frame filter Column 0
escale float64 Column 0
beta float64 MaskedColumn 27684
beta_ref_flux float64 MaskedColumn 27683
beta_npix int64 Column 0
beta_wlo float64 MaskedColumn 27683
beta_whi float64 MaskedColumn 27683
beta_nmad float64 MaskedColumn 27687
dla_npix float64 MaskedColumn 27683
dla_value float64 MaskedColumn 27683
dla_unc float64 MaskedColumn 27683
beta_cov_00 float64 MaskedColumn 27683
beta_cov_01 float64 MaskedColumn 27683
beta_cov_10 float64 MaskedColumn 27683
beta_cov_11 float64 MaskedColumn 27683
Add some preview columns to the table
RGB_URL = "https://grizli-cutout.herokuapp.com/thumb?size=1.5&scl=2.0&asinh=True&filters=f115w-clear%2Cf277w-clear%2Cf444w-clear&rgb_scl=1.5%2C0.74%2C1.3&pl=2&coord={ra}%2C{dec}"
tab['metafile'] = [m.split('_')[0] for m in tab['msamet']]
SLIT_URL = "https://grizli-cutout.herokuapp.com/thumb?size=1.5&scl=4.0&invert=True&filters=f444w-clear&rgb_scl=1.5%2C0.74%2C1.3&pl=2&coord={ra}%2C{dec}&nirspec=True&dpi_scale=6&nrs_lw=0.5&nrs_alpha=0.8&metafile={metafile}"
FITS_URL = "https://s3.amazonaws.com/msaexp-nirspec/extractions/{root}/{file}"
tab['Thumb'] = [
"<img src=\"{0}\" height=200px>".format(
RGB_URL.format(**row['ra','dec'])
)
for row in tab
]
tab['Slit_Thumb'] = [
"<img src=\"{0}\" height=200px>".format(
SLIT_URL.format(**row['ra','dec','metafile'])
)
for row in tab
]
tab['Spectrum_fnu'] = [
"<img src=\"{0}\" height=200px>".format(
FITS_URL.format(**row['root','file']).replace('.spec.fits', '.fnu.png')
)
for row in tab
]
tab['Spectrum_flam'] = [
"<img src=\"{0}\" height=200px>".format(
FITS_URL.format(**row['root','file']).replace('.spec.fits', '.flam.png')
)
for row in tab
]
zphot - zspec
import eazy.utils
test = (tab['grade'] == 3) & (tab['z_phot'].filled(-1.) > 0)
test &= (tab['grating'] == 'PRISM')
print(test.sum())
_ = eazy.utils.zphot_zspec(tab['z_phot'][test], tab['z_best'][test], zmax=14)
11200
# Counts by mask / program
utils.Unique(tab['root'])
N value
==== ==========
309 abell2744-castellano1-v4
111 abell2744-ddt-v4
230 abell2744-glass-v4
137 aurora-gdn01-v4
147 aurora-gdn02-v4
9 bd-ic348-gto-v4
25 bd-orion-gto-v4
219 bluejay-north-v4
223 bluejay-south-v4
50 borg-0037m3337-v4
38 borg-0314m6712-v4
37 borg-0409m5317-v4
36 borg-0440m5244-v4
37 borg-0859p4114-v4
45 borg-0955p4528-v4
38 borg-1033p5051-v4
43 borg-1437p5044-v4
30 borg-2203p1851-v4
5 cantalupo-filament-02-v4
333 capers-cos01-v4
416 capers-cos10-v4
290 capers-cos13-v4
372 capers-egs44-v4
395 capers-egs47-v4
404 capers-egs49-v4
413 capers-egs53-v4
324 capers-egs55-v4
381 capers-egs61-v4
343 capers-udsp1-v4
299 capers-udsp2-v4
278 capers-udsp3-v4
168 capers-udsp5-v4
102 cecilia-v4
151 ceers-ddt-v4
1720 ceers-v4
340 cosmos-curti-v4
1 cosmos-lae-martin-v4
301 cosmos-transients-v4
230 egs-mason-v4
237 egs-nelsonx-v4
125 excels-uds01-v4
125 excels-uds02-v4
135 excels-uds03-v4
140 excels-uds04-v4
26 gdn-chisholm-v4
187 gdn-pah123-v4
65 gdn-pah4-v4
56 gds-barrufet-s156-v4
82 gds-barrufet-s67-v4
971 gds-deep-v4
328 gds-egami-ddt-v4
236 gds-maseda-v4
599 gds-rieke-v4
641 gds-udeep-v4
96 glazebrook-cos-obs1-v4
107 glazebrook-cos-obs2-v4
107 glazebrook-cos-obs3-v4
119 glazebrook-egs-v4
236 glazebrook-v4
190 goodsn-wide-v4
405 goodsn-wide0-v4
192 goodsn-wide1-v4
393 goodsn-wide2-v4
347 goodsn-wide3-v4
389 goodsn-wide6-v4
324 goodsn-wide66-v4
371 goodsn-wide7-v4
388 goodsn-wide8-v4
345 gto-wide-cos01-v4
380 gto-wide-cos02-v4
362 gto-wide-cos03-v4
362 gto-wide-cos04-v4
378 gto-wide-cos05-v4
1403 gto-wide-egs1-v4
344 gto-wide-egs2-v4
384 gto-wide-uds10-v4
378 gto-wide-uds11-v4
330 gto-wide-uds12-v4
370 gto-wide-uds13-v4
382 gto-wide-uds14-v4
507 j0226-wang-v4
155 j0252m0503-hennawi-02-v4
158 j0252m0503-hennawi-07-v4
387 j0910-wang-v4
232 j1007p2115-hennawi-v4
548 jades-gdn-v4
967 jades-gdn09-v4
961 jades-gdn10-v4
958 jades-gdn11-v4
2909 jades-gdn2-v4
189 jades-gds-w03-v4
376 jades-gds-w04-v4
198 jades-gds-w05-v4
185 jades-gds-w06-v4
185 jades-gds-w07-v4
194 jades-gds-w08-v4
278 jades-gds-w09-v4
2004 jades-gds-wide-v4
1305 jades-gds-wide2-v4
762 jades-gds-wide3-v4
744 jades-gds02-v4
681 jades-gds03-v4
758 jades-gds04-v4
818 jades-gds05-v4
739 jades-gds06-v4
715 jades-gds07-v4
766 jades-gds08-v4
649 jades-gds1-v4
635 jades-gds10-v4
100 lyc22-schaerer-01-v4
80 lyc22-schaerer-03-v4
104 lyc22-schaerer-12-v4
386 macs1149-stiavelli-v4
22 macsj0647-hr-v4
82 macsj0647-single-v4
133 macsj0647-v4
27 pearls-transients-v4
289 rubies-egs51-v4
386 rubies-egs52-v4
406 rubies-egs53-v4
359 rubies-egs61-v4
445 rubies-egs62-v4
425 rubies-egs63-v4
456 rubies-uds1-v4
415 rubies-uds2-v4
361 rubies-uds21-v4
371 rubies-uds22-v4
347 rubies-uds23-v4
425 rubies-uds3-v4
365 rubies-uds31-v4
432 rubies-uds32-v4
425 rubies-uds33-v4
438 rubies-uds41-v4
408 rubies-uds42-v4
403 rubies-uds43-v4
203 rxj2129-ddt-v4
86 smacs0723-ero-v4
93 snh0pe-v4
92 stark-a1703-v4
147 stark-rxcj2248-v4
61 suspense-kriek-v4
192 ulas-j1120-gto-v4
152 uncover-61-v4
180 uncover-62-v4
557 uncover-v4
300 whl0137-v4
<grizli.utils.Unique at 0x148a3c0b0>
Source counts
Show magnitude, color, redshift distribution as a function of “grade”:
- Grade 3: Robust redshift from one or more emission absorption features
- 2 Ambiguous continuum features, perhaps only one line or low confidence lines
- 1 No clear features in the spetrum to constrain the redshift
- 0 Spectrum suffers some data quality issue and should
fig, axes = plt.subplots(4,2,figsize=(8,10), sharex=False, sharey=True)
colors = {0: 'magenta', 1: '0.5', 2: 'coral', 3: 'olive'}
# sub = is_rubies
sub = tab['ra'] > 0
sub = sub & True
sub &= tab['z_phot'].filled(-1) > 0
sub &= tab['grating'] == 'PRISM'
un = utils.Unique(tab[sub]['grade'].filled(-1))
blue = -2.5*np.log10(tab['phot_f150w_tot_1'] / tab['phot_f444w_tot_1'])
for i, c in enumerate([3,2,1,0]):
kws = dict(
c = np.sqrt(tab[sub][un[c]]['exptime']), vmin=900**0.5, vmax=(5*3600)**0.5, cmap='magma_r',
# c = 'magenta',
alpha=0.5,
label=f'Grade = {c}',
)
ax = axes[i][1]
ax.scatter(blue,
23.9 - 2.5*np.log10(tab['phot_f444w_tot_1']),
c='0.8',
alpha=0.2,
label=f'Grade = {c}',
)
sc = ax.scatter(blue[sub][un[c]],
23.9 - 2.5*np.log10(tab[sub]['phot_f444w_tot_1'])[un[c]],
**kws,
)
ax.grid()
if i < 3:
ax.set_xticklabels([])
ax.set_xlim(-2.2, 5.2)
ax = axes[i][0]
ax.scatter(np.log(1+tab['z_phot']),
23.9 - 2.5*np.log10(tab['phot_f444w_tot_1']),
c='0.8',
alpha=0.2,
label=f'Grade = {c}' + '\n' + f'N = {un[c].sum()}',
)
ax.scatter(np.log(1+tab[sub]['z_phot'][un[c]]),
23.9 - 2.5*np.log10(tab[sub]['phot_f444w_tot_1'])[un[c]],
**kws,
)
ax.grid()
ax.text(
0.95, 0.05,
# f'Grade = {c}',
f'Grade = {c}' + '\n' + f'N = {un[c].sum()}',
ha='right', va='bottom', fontsize=9, transform=ax.transAxes)
if i < 3:
ax.set_xticklabels([])
xt = [0, 1, 2, 3, 4, 5, 6, 8, 10, 12, 16]
ax.set_xlim(0, np.log(1+17))
ax.set_ylabel('mag F444W')
cax = fig.add_axes
cax = fig.add_axes((0.9, 0.1, 0.02, 0.15))
cb = plt.colorbar(sc, cax=cax, orientation='vertical')
ct = [0.5, 1, 2, 4]
cb.set_ticks(np.sqrt(np.array(ct)*3600))
cb.set_ticklabels(ct)
cb.set_label('EXPTIME (h)')
ax.set_ylim(19, 31)
ax.set_xticks(np.log(1+np.array(xt)))
ax.set_xticklabels(xt)
ax.set_xlabel(r'$z_\mathrm{phot}$')
ax = axes[3][1]
ax.set_xlabel('F150W - F444W')
# ax.legend()
fig.tight_layout(pad=1)
N value
==== ==========
3713 -1
93 0
1283 1
586 2
11200 3
PRISM sample for comparision
sample = (tab['grade'] == 3) & (tab['grating'] == 'PRISM')
sample &= tab['z_best'] < 7
sample &= tab['rest_153_frac'] > 0.8
sample &= tab['rest_154_frac'] > 0.8
sample &= tab['rest_155_frac'] > 0.8
sample.sum()
12708
Interpolate Halpha EQW from nearby filters
import eazy.filters
RES = eazy.filters.FilterFile()
fb, fr = 415, 416
#fb, fr = 155, 416
wb = RES[fb].pivot
wr = RES[fr].pivot
flamb = (1*u.microJansky).to(u.erg/u.second/u.cm**2/u.Angstrom, equivalencies=u.spectral_density(wb*u.Angstrom))
flamr = (1*u.microJansky).to(u.erg/u.second/u.cm**2/u.Angstrom, equivalencies=u.spectral_density(wr*u.Angstrom))
whtb = (1 - np.abs(wb - 6564.)/(wr-wb))# *flamb
whtr = (1 - np.abs(wr - 6564.)/(wr-wb))# *flamr
interp_flux = tab[f'rest_{fb}_flux']*whtb*flamb + tab[f'rest_{fr}_flux']*whtr*flamr
eqw = ((tab['line_ha_nii']*1.e-20*u.erg/u.second/u.cm**2 / (interp_flux / (1+tab['zline'])**1))).value
plt.scatter(
(np.maximum(tab['eqw_ha_nii'], -100) / (1+tab['zline'])**1)[sample],
eqw[sample], alpha=0.02
)
plt.plot([0.1, 1e7], [0.1, 1e7], color='r', alpha=0.5)
plt.loglog()
plt.grid()
plt.xlim(0.02, 1.e5); plt.ylim(0.02, 1.e5)
plt.xlabel(r'H$\alpha$ EQW, template fit')
plt.ylabel(r'H$\alpha$ EQW, line flux / estimated continuum')
if 1:
print('Use interpolated EQW')
eqw_lim = np.maximum(tab['line_ha_nii'], tab['line_ha_nii_err']*2) * 1.e-20*u.erg/u.second/u.cm**2 / (interp_flux / (1+tab['zline']))
is_eqw_lim = tab['line_ha_nii_err']*2 > tab['line_ha_nii']
eqw[is_eqw_lim] = eqw_lim.value[is_eqw_lim]
tab['ha_eqw_with_limits'] = eqw
tab['ha_eqw_is_limit'] = is_eqw_lim
Use interpolated EQW
Stellar population properties
- Rest-frame colors
- Stellar masses
- …
UV = -2.5*np.log10(tab['phot_restU'] / tab['phot_restV'])
VJ = -2.5*np.log10(tab['phot_restV'] / tab['phot_restJ'])
UVs = -2.5*np.log10(tab['rest_153_flux'] / tab['rest_155_flux'])
BVs = -2.5*np.log10(tab['rest_154_flux'] / tab['rest_155_flux'])
VJs = -2.5*np.log10(tab['rest_155_flux'] / tab['rest_161_flux'])
eBVs = 2.5/np.log(10) * np.sqrt(
(tab['rest_154_full_err'] / tab['rest_154_flux'])**2
+ (tab['rest_155_full_err'] / tab['rest_155_flux'])**2
)
ugs = -2.5*np.log10(tab['rest_414_flux'] / tab['rest_415_flux'])
gis = -2.5*np.log10(tab['rest_415_flux'] / tab['rest_416_flux'])
ok_BVs = (tab['rest_154_frac'] > 0.8) & (tab['rest_155_frac'] > 0.8)
ok_gis = (tab['rest_415_frac'] > 0.8) & (tab['rest_416_frac'] > 0.8)
ok_BVs &= eBVs < 0.1
dL = WMAP9.luminosity_distance(tab['zrf']).to('cm')
rest_fV = (tab['rest_155_flux']*u.microJansky).to(
u.erg/u.second/u.cm**2/u.Angstrom,
equivalencies=u.spectral_density(5500.*(1+tab['zrf'])*u.Angstrom)
)
rest_fi = (tab['rest_416_flux']*u.microJansky).to(
u.erg/u.second/u.cm**2/u.Angstrom,
equivalencies=u.spectral_density(RES[416].pivot * (1+tab['zrf'])*u.Angstrom)
)
LV = (rest_fV * 5500. * u.Angstrom * (1 + tab['zrf']) * 4 * np.pi * dL**2).to(u.Lsun)
Li = (rest_fi * RES[416].pivot * u.Angstrom * (1 + tab['zrf']) * 4 * np.pi * dL**2).to(u.Lsun)
# Crude M/Lv ~ B-V from Taylor et al. 2009 for getting a quick stellar mass from the spectrum
log_MLv = -0.734 + 1.404 * (BVs + 0.084)
MassV = log_MLv + np.log10(LV.value)
tab['Mass'] = MassV
tab['Mass'].format = '.2f'
tab['ok_Mass'] = ok_BVs
plt.scatter(
np.log10(tab['phot_mass'][sample & ok_BVs]),
MassV[sample & ok_BVs],
alpha=0.1,
c=tab['phot_Av'][sample & ok_BVs]
)
plt.plot([5, 12], [5, 12], color='magenta')
plt.grid()
plt.xlim(6, 12)
plt.ylim(6, 12)
plt.xlabel('stellar mass, eazy photometry')
plt.ylabel(r'$\log M = \log L_V + \log M/L_V$' + '\n' + r'$\log M/L_V \propto (B-V)$')
Text(0, 0.5, '$\\log M = \\log L_V + \\log M/L_V$\n$\\log M/L_V \\propto (B-V)$')
Compare rest-frame colors
The table includes rest-frame bandpass flux densities 1) estimated from the broad-band photometry (at the photo-z) and 2) integrated directly through the spectra at the measured redshift.
The colors derived from the grizli/DJA photometry are those of the best-fit photo-z template combination, not a noisy interpolation, so they can show banding effects resulting from the discrete combination of templates.
fig, axes = plt.subplots(1,2,figsize=(8,5), sharex=True, sharey=True)
axes[0].scatter(
VJ[sample], UV[sample], alpha=0.1,
c=tab['ha_eqw_with_limits'][sample], vmin=0, vmax=200, cmap='RdYlBu'
)
axes[0].set_xlabel(r'$(V-J)$' + ', eazy template')
axes[0].set_ylabel(r'$(U-V)$')
axes[1].scatter(
VJs[sample], UVs[sample], alpha=0.1,
c=tab['ha_eqw_with_limits'][sample], vmin=0, vmax=200, cmap='RdYlBu'
)
sc = axes[1].scatter(
VJs[sample][:1], UVs[sample][:1], alpha=0.5,
c=tab['ha_eqw_with_limits'][sample][:1], vmin=0, vmax=200, cmap='RdYlBu'
)
axes[1].set_xlabel(r'$(V-J)$' + ', spectrum')
for ax in axes:
ax.set_xlim(-1.2, 4.2)
ax.set_ylim(-0.8, 4.2)
ax.grid()
cax = fig.add_axes((0.85, 0.2, 0.02, 0.25))
cb = plt.colorbar(sc, cax=cax, orientation='vertical')
cb.set_label(r'EQW H$\alpha$')
fig.tight_layout(pad=1)
plt.scatter(
tab['z_best'][sample],
# np.log10(tab['phot_mass'])[sample],
tab['Mass'][sample],
alpha=0.1,
c=tab['ha_eqw_with_limits'][sample], vmin=0, vmax=200, cmap='RdYlBu'
)
plt.ylim(7, 12)
plt.grid()
plt.xlabel('redshift')
plt.ylabel('rough stellar mass')
Text(0, 0.5, 'rough stellar mass')
# Make a preview table
massive = sample & (tab['z_best'] > 4.) & (MassV > 10.5) & (tab['grating'] == 'PRISM') & ok_BVs
if 0:
tab['root','file','z_best','Mass','ha_eqw_with_limits','Thumb','Slit_Thumb','Spectrum_fnu', 'Spectrum_flam'][massive].write_sortable_html(
'/tmp/massive.html',
max_lines=1000,
localhost=False,
)
print(f"massive test sample: {massive.sum()}")
massive test sample: 69
from IPython.display import display, Markdown, Latex
so = np.argsort(tab['Mass'][massive])[::-1]
so = so[:32]
df = tab['root','file','z_best','Mass','ha_eqw_with_limits','Thumb','Slit_Thumb','Spectrum_fnu', 'Spectrum_flam'][massive][so].to_pandas()
display(Markdown(df.to_markdown()))
| root | file | z_best | Mass | ha_eqw_with_limits | Thumb | Slit_Thumb | Spectrum_fnu | Spectrum_flam | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | j0910-wang-v4 | j0910-wang-v4_prism-clear_2028_12910.spec.fits | 6.62142 | 12.0515 | 54.4902 |  |
 |
||
| 1 | rubies-uds23-v4 | rubies-uds23-v4_prism-clear_4233_166691.spec.fits | 4.06673 | 11.9254 | 11.4969 |  |
 |
||
| 2 | uncover-61-v4 | uncover-61-v4_prism-clear_2561_13416.spec.fits | 4.02262 | 11.7896 | 114.235 |  |
 |
||
| 3 | rubies-egs52-v4 | rubies-egs52-v4_prism-clear_4233_9809.spec.fits | 5.68123 | 11.6563 | 197.61 |  |
 |
||
| 4 | jades-gdn-v4 | jades-gdn-v4_prism-clear_1181_68797.spec.fits | 5.03971 | 11.6303 | 1054.65 |  |
 |
||
| 5 | rubies-uds22-v4 | rubies-uds22-v4_prism-clear_4233_114988.spec.fits | 4.36474 | 11.5051 | 94.5801 |  |
 |
||
| 6 | gto-wide-uds13-v4 | gto-wide-uds13-v4_prism-clear_1215_1472.spec.fits | 4.55596 | 11.4348 | 14.736 |  |
 |
||
| 7 | uncover-v4 | uncover-v4_prism-clear_2561_45924.spec.fits | 4.4673 | 11.3522 | 104.309 |  |
 |
||
| 8 | uncover-62-v4 | uncover-62-v4_prism-clear_2561_58453.spec.fits | 4.4673 | 11.2252 | 969.994 |  |
 |
||
| 9 | gds-barrufet-s67-v4 | gds-barrufet-s67-v4_prism-clear_2198_1260.spec.fits | 4.4319 | 11.2251 | 72.7017 |  |
 |
||
| 10 | rubies-egs63-v4 | rubies-egs63-v4_prism-clear_4233_49140.spec.fits | 6.68959 | 11.1816 | 657.49 |  |
 |
||
| 11 | rubies-uds42-v4 | rubies-uds42-v4_prism-clear_4233_807469.spec.fits | 6.77538 | 11.1462 | 4951.05 |  |
 |
||
| 12 | rubies-egs61-v4 | rubies-egs61-v4_prism-clear_4233_55604.spec.fits | 6.98435 | 11.1174 | 2762.98 |  |
 |
||
| 13 | uncover-62-v4 | uncover-62-v4_prism-clear_2561_59554.spec.fits | 4.47252 | 11.0693 | 155.997 |  |
 |
||
| 14 | rubies-uds31-v4 | rubies-uds31-v4_prism-clear_4233_149494.spec.fits | 4.62235 | 11.0691 | 5.34271 |  |
 |
||
| 15 | capers-egs49-v4 | capers-egs49-v4_prism-clear_6368_11585.spec.fits | 6.68959 | 10.9733 | 480.117 |  |
 |
||
| 16 | rubies-uds23-v4 | rubies-uds23-v4_prism-clear_4233_140707.spec.fits | 4.62 | 10.908 | 10.0372 |  |
 |
||
| 17 | rubies-uds23-v4 | rubies-uds23-v4_prism-clear_4233_148866.spec.fits | 5.22256 | 10.9076 | 262.927 |  |
 |
||
| 18 | egs-nelsonx-v4 | egs-nelsonx-v4_prism-clear_4106_57146.spec.fits | 6.68959 | 10.8953 | 471.6 |  |
 |
||
| 19 | gto-wide-uds13-v4 | gto-wide-uds13-v4_prism-clear_1215_6001.spec.fits | 4.58301 | 10.8825 | 716.686 |  |
 |
||
| 20 | rubies-uds2-v4 | rubies-uds2-v4_prism-clear_b28.spec.fits | 4.36275 | 10.8802 | 5.61715 |  |
 |
||
| 21 | rubies-uds2-v4 | rubies-uds2-v4_prism-clear_4233_b28.spec.fits | 4.36275 | 10.8801 | 5.59212 |  |
 |
||
| 22 | rubies-egs61-v4 | rubies-egs61-v4_prism-clear_4233_75646.spec.fits | 4.90002 | 10.874 | 24.3336 |  |
 |
||
| 23 | goodsn-wide2-v4 | goodsn-wide2-v4_prism-clear_1211_10.spec.fits | 4.14019 | 10.8389 | 236.904 |  |
 |
||
| 24 | uncover-61-v4 | uncover-61-v4_prism-clear_2561_21547.spec.fits | 5.05789 | 10.8387 | 553.345 |  |
 |
||
| 25 | jades-gdn2-v4 | jades-gdn2-v4_prism-clear_1181_954.spec.fits | 6.76117 | 10.8335 | 1997.48 |  |
 |
||
| 26 | rubies-egs53-v4 | rubies-egs53-v4_prism-clear_4233_42046.spec.fits | 5.27719 | 10.8159 | 1213.54 |  |
 |
||
| 27 | snh0pe-v4 | snh0pe-v4_prism-clear_4446_274.spec.fits | 4.10583 | 10.8132 | 4.80224 |  |
 |
||
| 28 | rubies-uds23-v4 | rubies-uds23-v4_prism-clear_4233_155916.spec.fits | 4.09409 | 10.7958 | 47.1011 |  |
 |
||
| 29 | uncover-v4 | uncover-v4_prism-clear_2561_4286.spec.fits | 5.83522 | 10.7673 | 730.932 |  |
 |
||
| 30 | jades-gds-w07-v4 | jades-gds-w07-v4_prism-clear_1212_6071.spec.fits | 5.55195 | 10.7579 | 1022.83 |  |
 |
||
| 31 | rubies-uds43-v4 | rubies-uds43-v4_prism-clear_4233_19735.spec.fits | 4.8047 | 10.7567 | 241.777 |  |
 |
Read a spectrum
import msaexp.spectrum
spec_file = 'rubies-egs61-v4_prism-clear_4233_75646.spec.fits'
row = tab[tab['file'] == spec_file][0]
spec = msaexp.spectrum.SpectrumSampler(FITS_URL.format(**row))
row['Mass']
10.873998434439217
spec.spec.info
<GTable length=473>
name dtype unit description class n_bad
----------- ------- ---- ----------------------------------------- ------------ -----
wave float64 Column 0
flux float64 Column 0
err float64 Column 0
sky float64 uJy MaskedColumn 5
path_corr float64 MaskedColumn 5
npix float64 Column 0
flux_sum float64 Column 0
profile_sum float64 Column 0
var_sum float64 Column 0
corr float64 Column 0
escale float64 Column 0
full_err float64 uJy Column 0
valid bool Column 0
R float64 Spectral resolution from tabulated curves Column 0
to_flam float64 Column 0
plt.plot(spec['wave'], spec['flux'],
label="{file}\nz={z_best:.3f}".format(**row))
plt.legend()
<matplotlib.legend.Legend at 0x37e969970>
All msaexp PRISM spectra in a single table
combined_spectra_file = "dja_msaexp_emission_lines_v4.0.prism_spectra.fits"
if os.path.exists(combined_spectra_file):
prism_spectra = utils.read_catalog(combined_spectra_file)
else:
# Combined prism spectra in a single big table (595 Mb)
prism_spectra = utils.read_catalog(
download_file(
f"https://s3.amazonaws.com/msaexp-nirspec/extractions/{combined_spectra_file}",
cache=True
),
format='fits',
)
is_prism = tab['grating'] == 'PRISM'
tab['prism_idx'] = 0
tab['prism_idx'][is_prism] = np.arange(is_prism.sum())
print(f"""
PRISM spectra in the merged catalog: {is_prism.sum()}
PRISM spectra in the combined table: {prism_spectra['flux'].shape[1]}
""")
PRISM spectra in the merged catalog: 26913
PRISM spectra in the combined table: 26913
valid_count = prism_spectra['valid'].sum(axis=0)
valid_spec = valid_count > (valid_count.max() - 8)
row = tab[tab['file'] == spec_file][0]
plt.plot(
spec['wave'], spec['flux'],
lw=2, label='Single spectrum'
)
plt.plot(
prism_spectra['wave'], prism_spectra['flux'][:, row['prism_idx']],
alpha=0.5, label='From combined table'
)
plt.legend()
<matplotlib.legend.Legend at 0x37fa98bf0>
“Stacked” spectrum
Stacking prism spectra isn’t trivial due to the variable dispersion and wavelength sampling. Here just plot a subset on top of eachother.
norm_column = 'rest_416_flux'
print(f"Normalization column: '{norm_column}' = {tab[norm_column].description}")
flux_norm = prism_spectra['flux'] / tab[norm_column][is_prism]
# Subset
zi = row['z_best']
dz = 0.05
sample = (tab['z_best'] > zi - dz) & (tab['z_best'] < zi + dz)
sub_sample = sample[is_prism] & valid_spec
sub_idx = np.where(sub_sample)[0]
z_sample = tab['z_best'][is_prism][sample[is_prism] & valid_spec]
fig, axes = plt.subplots(2,1,figsize=(10,7), sharex=False, sharey=True)
for j, z in enumerate(z_sample):
axes[0].plot(
prism_spectra['wave'],
flux_norm[:, sub_idx[j]],
alpha=0.1
)
axes[1].plot(
prism_spectra['wave'] / (1 + z),
flux_norm[:, sub_idx[j]],
alpha=0.1
)
axes[0].set_ylim(-1, 10)
Normalization column: 'rest_416_flux' = Spectrum flux in synthetic_i
(-1.0, 10.0)
“Nearest neighbor” spectra
Simple “nearest neighbors” of the normalized spectra.
fix_flux_norm = flux_norm*1.
fix_flux_norm[~np.isfinite(flux_norm)] = 0
tr = cKDTree(fix_flux_norm[:, valid_spec].T)
tr_ds, tr_idx = tr.query(fix_flux_norm[:, row['prism_idx']], k=16)
df = tab['root','file','z_best','Mass','ha_eqw_with_limits','Thumb','Slit_Thumb','Spectrum_fnu', 'Spectrum_flam'][is_prism][valid_spec][tr_idx].to_pandas()
display(Markdown(df.to_markdown()))
| root | file | z_best | Mass | ha_eqw_with_limits | Thumb | Slit_Thumb | Spectrum_fnu | Spectrum_flam | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | rubies-egs61-v4 | rubies-egs61-v4_prism-clear_4233_75646.spec.fits | 4.90002 | 10.874 | 24.3336 | |
|
||
| 1 | gds-barrufet-s67-v4 | gds-barrufet-s67-v4_prism-clear_2198_8777.spec.fits | 4.65301 | 10.6769 | 8.26113 |  |
 |
||
| 2 | gds-barrufet-s67-v4 | gds-barrufet-s67-v4_prism-clear_2198_8290.spec.fits | 4.34386 | 10.5556 | 4.0581 |  |
 |
||
| 3 | jades-gdn09-v4 | jades-gdn09-v4_prism-clear_1181_72127.spec.fits | 4.13368 | 10.5771 | 75.7974 |  |
 |
||
| 4 | glazebrook-cos-obs1-v4 | glazebrook-cos-obs1-v4_prism-clear_2565_10559.spec.fits | 4.28971 | 10.5518 | 3.80496 |  |
 |
||
| 5 | jades-gds-wide-v4 | jades-gds-wide-v4_prism-clear_1180_12619.spec.fits | 3.60805 | 10.6324 | 27.8163 |  |
 |
||
| 6 | rubies-uds2-v4 | rubies-uds2-v4_prism-clear_b28.spec.fits | 4.36275 | 10.8802 | 5.61715 | |
|
||
| 7 | rubies-uds2-v4 | rubies-uds2-v4_prism-clear_4233_b28.spec.fits | 4.36275 | 10.8801 | 5.59212 | |
|
||
| 8 | glazebrook-cos-obs3-v4 | glazebrook-cos-obs3-v4_prism-clear_2565_20115.spec.fits | 3.71293 | 11.2231 | 2.61723 |  |
 |
||
| 9 | gto-wide-egs1-v4 | gto-wide-egs1-v4_prism-clear_1213_4358.spec.fits | 4.28982 | 10.6918 | 21.9825 |  |
 |
||
| 10 | jades-gdn09-v4 | jades-gdn09-v4_prism-clear_1181_80660.spec.fits | 4.39946 | 10.2177 | 25.751 |  |
 |
||
| 11 | glazebrook-v4 | glazebrook-v4_prism-clear_2565_10459.spec.fits | 3.98685 | 10.6829 | 4.65304 |  |
 |
||
| 12 | jades-gdn-v4 | jades-gdn-v4_prism-clear_1181_76320.spec.fits | 3.23859 | 10.3316 | 4.69578 |  |
 |
||
| 13 | capers-egs49-v4 | capers-egs49-v4_prism-clear_6368_7806.spec.fits | 3.44385 | 10.285 | 33.2528 |  |
 |
||
| 14 | glazebrook-v4 | glazebrook-v4_prism-clear_2565_35168.spec.fits | 3.71777 | 10.2866 | 7.84772 |  |
 |
||
| 15 | jades-gds-w03-v4 | jades-gds-w03-v4_prism-clear_1212_1231.spec.fits | 4.34386 | 10.4459 | 3.51736 |  |
 |
Thumbnail API
The DJA thumbnail API can create thumbnail figures and FITS cutouts of a requested set of filters at a particular coordinate.M
from IPython.display import Image
print(RGB_URL.format(**row))
Image(url=RGB_URL.format(**row), height=300, width=300)
https://grizli-cutout.herokuapp.com/thumb?size=1.5&scl=2.0&asinh=True&filters=f115w-clear%2Cf277w-clear%2Cf444w-clear&rgb_scl=1.5%2C0.74%2C1.3&pl=2&coord=214.91554591%2C52.94901831
print(SLIT_URL.format(**row))
Image(url=SLIT_URL.format(**row), height=300, width=300)
https://grizli-cutout.herokuapp.com/thumb?size=1.5&scl=4.0&invert=True&filters=f444w-clear&rgb_scl=1.5%2C0.74%2C1.3&pl=2&coord=214.91554591%2C52.94901831&nirspec=True&dpi_scale=6&nrs_lw=0.5&nrs_alpha=0.8&metafile=jw04233006001