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AGN Host Galaxies Physical Properties VAC

Description

This value-added catalog contains physical properties of ~17 million DR1 DESI galaxies derived through spectral energy distribution (SED) fitting with the Code Investigating GALaxy Emission (CIGALE v.22.1; Boquien et al. 2019) accounting for Active Galactic Nuclei (AGN) contribution. CIGALE is based on the principles of the energy balance between dust-absorbed stellar emission in the ultraviolet and optical bands and its re-emission in the infrared (IR). It is widely used to estimate the physical properties of galaxies and AGN in large galaxy surveys (e.g. Ciesla et al. 2015; Malek et al. 2018; Salim et al. 2018; Mountrichas et al. 2021; Yang et al. 2020; Yang et al. 2022 ). The associated paper describing in detail the catalog development and its statistics is based on the DESI EDR (Siudek et al. 2024).

To generate the grid of models we use a delayed star formation history (SFH) model with an optional exponential burst and Bruzal & Charlot (2003) single stellar population models assuming Chabrier (2003) initial mass function and solar metallicity. We also include the standard nebular emission model from Inoue (2011) and model dust attenuation using Calzetti et al. (2000) attenuation curve. The reprocessed dust emission is modeled adopting the dust emission models of Dale et al. (2014). The AGN emission is modeled using the models from Fritz et al. (2006). CIGALE simultaneously fits the AGN and galaxy component using all the available photometry (g, r, z, W1, W2, W3 and W4) and returns estimates of the main galaxy properties such as stellar mass, star formation rate, and the relative contribution of the dusty torus of the AGN to the total IR luminosity (the AGN fraction using a Bayesian-like analysis). We note that incorporating AGN models does not exclude a scenario where the galaxy does not host an AGN (or its emission is negligible). In such cases, the AGN fraction is close to 0 (AGNfrac<0.1). The quality of the fit is expressed by the reduced chi2, the estimates and errors of physical properties are the likelihood-weighted means and standard deviations of the probability distribution function, respectively (Boquien et al. 2019). The cosmology assumed is WMAP7.

The catalog accounts for ~17 million galaxies from DR1 independently of the main target type. The purpose of this catalog is to have a uniform catalog across the main targets (BGS, LRG, ELG and QSO) accounting for a possible AGN contribution. The selection of the samples (credit to Ragadeepika Pucha) is as follows:

  • Started with zall-pix-fuji.fits catalog (28,425,963 rows)
  • Applied the following cuts:
    • COADD_FIBERSTATUS = 0
    • ZWARN = 0 | ZWARN = 4
    • ZCAT_PRIMARY = True
    • SPECTYPE = GALAXY|QSO
    • Number of primary spectra of GALAXY|QSO with good spectra and good redshifts = 17200298/28425963
  • Joined with John Moustakas’s LS Tractor Photometry VAC and remove any duplicates.
  • Total: 17,149,172 sources

Data Access

Data URL: https://data.desi.lbl.gov/public/dr1/vac/dr1/cigale/

NERSC access for DESI collaborators:

/global/cfs/cdirs/desi/public/dr1/vac/dr1/cigale/

Documentation

Files

  • IronPhysProp_v1.2.fits: physical properties of DESI DR1 galaxies estimated with REDROCK redshift
  • IronPhysProp_AfterBurnerv1.2.fits: physical properties of DESI DR1 galaxies estimated with Afterburners redshift

Data Model

Name Type Units Description
TARGETID int64 - Unique DESI Target ID
SURVEY bytes7 - Survey name
PROGRAM bytes7 - Program name
HEALPIX int32 - Healpix number
SPECTYPE bytes7 - Redrock spectral classification
RA float64 deg Right ascension from target catalog
DEC float64 deg Declination from target catalog
RELEASE int16 - Legacy Surveys (LS) Release
Z float64 - Redshift
CHI2 float64 - reduced chi2 defining the quality of the fit
LOGM float64 log(solMass) logarithm of the stellar mass
LOGM_ERR float64 log(solMass) error on logarithm of the stellar mass
LOGSFR float64 log(solMass/yr) logarithm of the star formation rate averaged over 10Myr
LOGSFR_ERR float64 log(solMass/yr) error on logarithm of star formation rate averaged over 10Myr
AGNLUM float64 W total luminosity of the AGN in W
AGNFRAC float64 - fraction of the total IR emission coming from the AGN, where 0 means no AGN contribution and 1 means 100% AGN contribution
AGNPSY float64 deg viewing angle, with ~30deg and ~70deg, for type 1 and type 2 AGN, respectively
LNU_(U/G/R/I/Z) float64 W/Hz rest-frame luminosity in a given band, the rest-frame magnitudes can be derived using eq. -2.5*log10(Lnu)+34.1
NUVR,RK,UV,VJ,GR float64 AB mag rest-frame colors in given bands
LNU_(U/G/R/I/Z)_ERR float64 W/Hz error of the rest-frame luminosity in a given band
(NUVR, RK, UV, VJ, GR)_ERR float64 AB mag error of the rest-framed colors in given bands
FLAG_MASSPDF float64 - Flag expressed by Mbest/Mbayes to reject stellar mass estimates with broad PDF and/or complex likelihood distribution, e.g. to clean the sample the recommended flag is 1/5 ≲ Mbest/Mbayes ≲ 5
FLAG_SFRPDF float64 - Flag expressed by SFRbest/SFRbayes to reject SFR estimates with broad PDF and/or complex likelihood distribution, e.g. to clean the sample the recommended flag is 1/5 ≲ SFRbest/SFRbayes ≲ 5
FLAGOPTICAL int64 - Flag to preselect sources observed with high signal-to-noise: S/N ≥ 10 in optical bands(g, r, z). FLAGOPTICAL = 3(2/1/0) source is observed in 3(2/1/0) band(s) with S/N ≥ 10
FLAGINFRARED int64 - Flag to preselect sources observed with high signal-to-noise: S/N ≥ 3 in WISE bands(W1, W2, W3, W4). FLAGINFRARED = 4(3/2/1/0) source is observed in 4(3/2/1/0) band(s) with S/N ≥ 3
FLUX_(G/R/Z/W1-4) float32 nanomaggy Flux in a given band; For the reddening corrected flux use the eq. DERED_FLUX = FLUX_BAND/MW_TRANSMISSION_BAND; for magnitude follow eq. MAG_BAND = -2.5*log10(DERED_FLUX) + 22.5
FLUX_IVAR_(G/R/Z/W1-4) float32 nanomaggy^-2 Inverse variance of the flux in a given band
MW_TRANSMISSION_(G/R/Z/W1-4) float32 - Milky Way foreground dust transmission factor [0-1] in a given band.
SNR_(G/R/Z/W1-4) float32 - signal-to-noise in a given band calculated as FLUX*sqrt(FLUX_IVAR)

Contact

Contact Malgorzata Siudek with any questions.

Change Log

v1.0

The initial catalog

v1.1

  • adding additional columns:
Name Type Units Description
RA float64 deg Right ascension from target catalog
DEC float64 deg Declination from target catalog
RELEASE int16 - Legacy Surveys (LS) Release
FLAG_MASSPDF float64 - Flag expressed by Mbest/Mbayes to reject stellar mass estimates with broad PDF and/or complex likelihood distribution, e.g. to clean the sample the recommended flag is 1/5 ≲ Mbest/Mbayes ≲ 5
FLAG_SFRPDF float64 - Flag expressed by SFRbest/SFRbayes to reject SFR estimates with broad PDF and/or complex likelihood distribution, e.g. to clean the sample the recommended flag is 1/5 ≲ SFRbest/SFRbayes ≲ 5
FLAGOPTICAL int64 - Flag to preselect sources observed with high signal-to-noise: S/N ≥ 10 in optical bands(g, r, z). FLAGOPTICAL = 3(2/1/0) source is observed in 3(2/1/0) band(s) with S/N ≥ 10
FLAGINFRARED int64 - Flag to preselect sources observed with high signal-to-noise: S/N ≥ 3 in WISE bands(W1, W2, W3, W4). FLAGINFRARED = 4(3/2/1/0) source is observed in 4(3/2/1/0) band(s) with S/N ≥ 3
FLUX_(G/R/Z/W1-4) float32 nanomaggy Flux in a given band; For the reddening corrected flux use the eq. DERED_FLUX = FLUX_BAND/MW_TRANSMISSION_BAND; for magnitude follow eq. MAG_BAND = -2.5*log10(DERED_FLUX) + 22.5
FLUX_IVAR_(G/R/Z/W1-4) float32 nanomaggy^-2 Inverse variance of the flux in a given band
MW_TRANSMISSION_(G/R/Z/W1-4) float32 - Milky Way foreground dust transmission factor [0-1] in a given band.
SNR_(G/R/Z/W1-4) float32 - signal-to-noise in a given band calculated as FLUX*sqrt(FLUX_IVAR)
  • changed the name of columns: redshift to Z
  • fixing the columns types and adding units

v1.2

  • updating the columns FLAG_MASSPDF and FLAG_SFRPDF