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PRObabilistic Value-Added Bright Galaxy Survey (PROVABGS) Catalog

Overview

The PRObabilistic Value-Added Bright Galaxy Survey (PROVABGS) catalog includes physical properties of galaxies inferred jointly from Legacy Surveys photometry and DESI spectroscopy. The physical parameters are inferred using a full Bayesian inference framework and state-of-the-art Spectral Energy Distribution (SED) modeling. For details on the inference framework, SED modeling, and the neural emulators used to accelerate the inferance, we refer readers to Hahn et al. (2023) and Kwon et al. (2023).

Data Access

Data URL: https://data.desi.lbl.gov/public/edr/vac/edr/provabgs/v1.0/

NERSC access:

/global/cfs/cdirs/desi/public/edr/vac/edr/provabgs/v1.0/

Documentation

The PROVABGS analysis pipeline is publicly available on GitHub.

Files

  • BGS_ANY_full.provabgs.sv3.v0.hdf5: PROVABGS catalog for all BGS galaxies in the DESI One-Percent Survey (SV3)

Data model

Column Name Data Type Description
TARGETID int Unique 64-bit identifier for each object observed by DESI
RA float64 Right Ascension in decimal degrees (J2000)
DEC float64 Declination in decimal degrees (J2000)
Z_HP float64 Redrock redshift
ZERR float64 Redrock redshift error
TSNR2_BGS float32 Signal-to-noise metric for observed spectra
MAG_G float64 Extinction corrected g-band magnitude
MAG_R float64 Extinction corrected r-band magnitude
MAG_Z float64 Extinction corrected z-band magnitude
MAG_W1 float64 Extinction corrected W1-band magnitude
FIBMAG_R float64 Extinction corrected r-band fiber aperture magnitude
SCHLEGEL_COLOR float64 (z - W1) - 1.2\(\times\)(g - r) + 1.2 color used for BGS Faint selection
HPIX_64 int HEALPixel of target
PROVABGS_MCMC float64 [Nx100x13] array of 100 samples drawn from the 13-dimensional PROVABGS posterior. The 13 parameters correspond to log(M_form), beta_1, beta_2, beta_3, beta_4, f_burst, t_burst, gamma_1, gamma_2, tau_BC, tau_ISM, n_dust, f_fiber. Note that log(M_form) is different than log(stellar mass).
provabgs_theta_bf float64 [Nx13] array of best-fit PROVABGS parameters
provabgs_z_max float64 Maximum redshift in which the galaxy could have been observed
provabgs_logMstar_bf float64 Best-fit log(stellar mass)
provabgs_logMstar float64 100 samples of the log stellar mass posterior
provabgs_w_zfail float64 Redshift-failure weights derived from TSNR2_BGS and FIBMAG_R
provabgs_w_fibassign float64 Fiber assignment weight derived from random fiber assignment runs
is_bgs_bright bool True if in BGS Bright
is_bgs_faint bool True if in BGS Faint

Contact

For problems, questions, or general help, please contact ChangHoon Hahn.