J/ApJS/242/8        DESI photz and stellar masses galaxies          (Zou+, 2019)

Photometric redshifts and stellar masses for galaxies from the DESI legacy imaging surveys. Zou H., Gao J., Zhou X., Kong X. <Astrophys. J. Suppl. Ser., 242, 8 (2019)> =2019ApJS..242....8Z 2019ApJS..242....8Z (SIMBAD/NED BibCode)
ADC_Keywords: Surveys ; Galaxies, photometry ; Redshifts ; Photometry, infrared ; Photometry ; Optical Keywords: galaxies: clusters: general - galaxies: distances and redshifts - galaxies: photometry Abstract: We present a catalog of photometric redshifts and stellar masses for galaxies from imaging surveys serving the Dark Energy Spectroscopic Instrument project. The imaging footprints cover an area of over 14000-deg2. This catalog contains about 0.17 billion morphologically classified galaxies with r<23mag. It covers the redshift range of z<1 and the mass range of 8.4<log(M*)<11.9. A total of five photometric bands are used, including three optical filters (g, r, and z) and two infrared filters (Wide-field Infrared Survey Explorer W1 and W2). We use k-nearest neighbors and local linear regression algorithms to estimate photometric redshifts. Based on a spectroscopic sample of about 2.2 million galaxies, we achieve a redshift bias of Δznorm=2.4x10-4, accuracy of σΔznorm=0.017, and outlier rate of about 5.1%. The stellar mass and other physical parameters are derived by stellar population synthesis model fitting based on our photometric redshifts. The differences in log(M*) derived using spectroscopic and photometric redshifts present a 1σ dispersion of 0.09dex. Description: DESI is an international project that will construct a 5000 fiber multiobject spectrograph for the Mayall 4 m telescope at Kitt Peak National Observatory (DESI Collaboration et al., 2016, arXiv:1611.00036). The DESI survey will obtain optical spectra of about 34 million galaxies and quasars over a five-year period between 2019 and 2024 in order to measure the expansion history and structure growth of the universe. The spectroscopic targets contain the bright galaxy sample (0.05<z<0.4), luminous red galaxies (0.4<z<1.0), emission-line galaxies (0.6<z<1.6), and quasars (z≲3.5). These four target types are selected using a combination of optical imaging data in the g, r, and z bands and near-infrared data in the WISE W1 and W2 bands. We present a catalog of photometric redshifts, stellar masses, and other inferred physical properties for galaxies from the DESI legacy imaging surveys. The catalog will be continuously updated for future data releases of the legacy surveys. This catalog contains 0.17 billion galaxies with r<23.0. The photometric data include three optical bands (g, r, and z) from three new optical imaging surveys and two infrared bands (W1 and W2) from latest observations of WISE. The total area is over 14000-deg2. File Summary: -------------------------------------------------------------------------------- FileName Lrecl Records Explanations -------------------------------------------------------------------------------- ReadMe 80 . This file photoz.dat 685 303379640 photo-z and stellar mass catalog for galaxies in DESI imaging surveys (2020/09/11 version) photoz.fits 2880 26967087 Fits version of the catalog (2020/09/11 version) -------------------------------------------------------------------------------- See also: https://www.legacysurvey.org : DESI Legacy Imaging Surveys Home Page http://batc.bao.ac.cn/~zouhu/online-data/desi_photoz : DESI Home Page Byte-by-byte Description of file: photoz.dat -------------------------------------------------------------------------------- Bytes Format Units Label Explanations -------------------------------------------------------------------------------- 1- 16 I16 --- ID Unique object ID 18- 35 F18.14 deg RAdeg Right ascension (J2000) 37- 56 F20.16 deg DEdeg Declination (J2000) 58- 66 F9.6 mag gmag g-band magnitude 68- 76 F9.6 mag rmag r-band magnitude 78- 86 F9.6 mag zmag z-band magnitude 88- 96 F9.6 mag W1mag W1-band magnitude 98-106 F9.6 mag W2mag W2-band magnitude 108-120 E13.6 mag e_gmag g-band magnitude error 122-133 F12.10 mag e_rmag r-band magnitude error 135-147 E13.6 mag e_zmag z-band magnitude error 149-161 E13.6 mag e_W1mag W1-band magnitude error 163-175 E13.6 mag e_W2mag W2-band magnitude error 177-185 F9.6 mag GalDepth-g Galaxy depth in g band 187-195 F9.6 mag GalDepth-r Galaxy depth in r band 197-205 F9.6 mag GalDepth-z Galaxy depth in z band 207-210 A4 --- Type Tractor Type 212-223 F12.8 arcsec ShapedeV-R Half-light radius of de Vaucouleurs model 225-237 F13.10 --- ShapedeV-E1 de Vaucouleurs ellipticity component 1 239-251 F13.10 --- ShapedeV-E2 de Vaucouleurs ellipticity component 2 253-264 F12.8 arcsec ShapeExp-R Half-light radius of exponential model 266-279 F14.11 --- ShapeExp-E1 Exponential ellipticity component 1 281-294 F14.11 --- ShapeExp-E2 Exponential ellipticity component 2 296-298 F3.1 --- Fracdev [0/1] Fraction of model in deVauc 300-302 I3 --- Nneighbour Number of neighbours used for photo-z estimation 304 I1 --- Nfilter [1/5] Number of filters used 306-317 F12.9 --- photoz Estimated photometric redshift 319-330 F12.10 --- e_photoz Estimated photometric redshift error 332-339 F8.4 --- specz ?=-10 Spectroscopic redshift if available (if not, set -10) 341-351 F11.9 --- meanz Mean spectroscopic redshift of k nearest neighbours 353-363 F11.9 --- sigmaz redshift RMS of k nearest neighbours 365-378 F14.12 --- nearestz Mean Euclidean distance in the color space of neighbours 380-390 F11.9 --- meandist Mean Euclidean distance in the color space of neighbours 392-404 F13.7 --- chiBest Chi square of the best BC03 model fitting 406-407 I2 --- ModBest ID of the best-fitted BC03 model 409-411 F3.1 mag E(B-V)Best Best estimated E(B-V) in three values of 0, 0.5, and 1.0mag 413-425 E13.6 --- ScaleBest Scaling factor between observed SED and model SED 427-433 F7.3 mag gMAG g-band absolute magnitude 435-441 F7.3 mag rMAG r-band absolute magnitude 443-449 F7.3 mag zMAG z-band absolute magnitude 451-457 F7.3 mag W1MAG W1-band absolute magnitude 459-465 F7.3 mag W2MAG W2-band absolute magnitude 467-479 F13.1 yr AgeBest Best estimated age 481-494 F14.1 yr AgeInf ?=-99 Lower limit of age with 68% confidence level 496-509 F14.1 yr AgeMed ?=-99 Median age 511-522 E12.6 yr AgeSup ?=-99 Upper limit of age with 68% confidence level 524-531 F8.5 [Msun] logMassBest ?=-9 Best estimated log stellar mass 533-541 F9.5 [Msun] logMassInf ?=-99 Lower limit of log stellar mass with 68% confidence level 543-551 F9.5 [Msun] logMassMed ?=-99 Median log stellar mass 553-561 F9.5 [Msun] logMassSup ?=-99 Upper limit of log stellar mass with 68% confidence level 563-575 F13.9 Msun/yr SFRBest ?=-99 Best estimated SFR 577-588 F12.8 Msun/yr SFRInf ?=-99 Lower limit of SFR with 68% confidence level 590-601 F12.8 Msun/yr SFRMed ?=-99 Median SFR 603-614 F12.8 Msun/yr SFRSup ?=-99 Upper limit of SFR with 68% confidence level 616-625 F10.5 1/yr sSFRBest Best estimated sSFR 627-635 F9.5 1/yr sSFRInf ?=-99 Lower limit of sSFR with 68% confidence level 637-645 F9.5 1/yr sSFRMed ?=-99 Median sSFR 647-655 F9.5 1/yr sSFRSup ?=-99 Upper limit of sSFR with 68% confidence level 657-665 F9.5 [Lsun] logLNUVBest Best estimated log NUV luminosity 667-675 F9.5 [Lsun] logLRBest Best estimated log R-band luminosity 677-685 F9.5 [Lsun] logLKBest Best estimated log K-band luminosity -------------------------------------------------------------------------------- Acknowledgements: Zou Hu, zouhu(at)bao.ac.cn
(End) Patricia Vannier [CDS] 11-Sep-2020
The document above follows the rules of the Standard Description for Astronomical Catalogues; from this documentation it is possible to generate f77 program to load files into arrays or line by line