Strategies for Obtaining Robust Spectral Energy Distribution Fitting Parameters for Galaxies at z ∼ 1 and z ∼ 2 in the Absence of Infrared Data

Robust estimation of star formation rates (SFRs) at higher redshifts ( z ≳ 1) using UV–optical–near-infrared (NIR) photometry is contingent on the ability of spectral energy distribution (SED) fitting to constrain the dust attenuation, stellar metallicity, and star formation history (SFH) simultaneo...

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Main Authors: Chandler Osborne, Samir Salim
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:The Astrophysical Journal
Subjects:
Online Access:https://doi.org/10.3847/1538-4357/ad17c8
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author Chandler Osborne
Samir Salim
author_facet Chandler Osborne
Samir Salim
author_sort Chandler Osborne
collection DOAJ
description Robust estimation of star formation rates (SFRs) at higher redshifts ( z ≳ 1) using UV–optical–near-infrared (NIR) photometry is contingent on the ability of spectral energy distribution (SED) fitting to constrain the dust attenuation, stellar metallicity, and star formation history (SFH) simultaneously. IR-derived dust luminosities can help break the degeneracy between these parameters, but IR data are often not available. Here, we explore strategies for SED fitting at z ≳ 1 in the absence of IR data using a sample of log M _* > 10.2 star-forming galaxies from the Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey (CANDELS) for which 24 μ m data are available. We adopt the total IR luminosity ( L _TIR ) obtained from 24 μ m as the “ground truth,” which allows us to assess how well it can be recovered (as L _dust ) from UV–optical–NIR SED fitting. We test a variety of dust attenuation models, stellar population synthesis models, metallicity assumptions, and SFHs separately to identify which assumptions maximize the agreement (correlation and linearity) between L _TIR and L _dust . We find that a flexible dust attenuation law performs best. For stellar populations, we find that Bruzual & Charlot models are favored over those of Eldridge et al. Fixing the stellar metallicity at solar value is preferred to other fixed values or leaving it as a free parameter. For SFHs, we find that minimizing the variability in the recent (<100 Myr) SFH improves the agreement with L _TIR . Finally, we provide a catalog of galaxy parameters (including M _* and SFR) for CANDELS galaxies with $\mathrm{log}{M}_{* }\gt 8$ and 0.7 < z < 1.3, obtained using the models we found to be the most robust.
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spelling doaj.art-7a579408a04f4c78910fc4d4d22c53a22024-02-07T09:39:30ZengIOP PublishingThe Astrophysical Journal1538-43572024-01-0196215910.3847/1538-4357/ad17c8Strategies for Obtaining Robust Spectral Energy Distribution Fitting Parameters for Galaxies at z ∼ 1 and z ∼ 2 in the Absence of Infrared DataChandler Osborne0Samir Salim1https://orcid.org/0000-0003-2342-7501Department of Astronomy, Indiana University , Bloomington, IN 47408, USADepartment of Astronomy, Indiana University , Bloomington, IN 47408, USARobust estimation of star formation rates (SFRs) at higher redshifts ( z ≳ 1) using UV–optical–near-infrared (NIR) photometry is contingent on the ability of spectral energy distribution (SED) fitting to constrain the dust attenuation, stellar metallicity, and star formation history (SFH) simultaneously. IR-derived dust luminosities can help break the degeneracy between these parameters, but IR data are often not available. Here, we explore strategies for SED fitting at z ≳ 1 in the absence of IR data using a sample of log M _* > 10.2 star-forming galaxies from the Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey (CANDELS) for which 24 μ m data are available. We adopt the total IR luminosity ( L _TIR ) obtained from 24 μ m as the “ground truth,” which allows us to assess how well it can be recovered (as L _dust ) from UV–optical–NIR SED fitting. We test a variety of dust attenuation models, stellar population synthesis models, metallicity assumptions, and SFHs separately to identify which assumptions maximize the agreement (correlation and linearity) between L _TIR and L _dust . We find that a flexible dust attenuation law performs best. For stellar populations, we find that Bruzual & Charlot models are favored over those of Eldridge et al. Fixing the stellar metallicity at solar value is preferred to other fixed values or leaving it as a free parameter. For SFHs, we find that minimizing the variability in the recent (<100 Myr) SFH improves the agreement with L _TIR . Finally, we provide a catalog of galaxy parameters (including M _* and SFR) for CANDELS galaxies with $\mathrm{log}{M}_{* }\gt 8$ and 0.7 < z < 1.3, obtained using the models we found to be the most robust.https://doi.org/10.3847/1538-4357/ad17c8Galaxy formationGalaxy evolutionGalaxy massesGalaxy propertiesStar formationSpectral energy distribution
spellingShingle Chandler Osborne
Samir Salim
Strategies for Obtaining Robust Spectral Energy Distribution Fitting Parameters for Galaxies at z ∼ 1 and z ∼ 2 in the Absence of Infrared Data
The Astrophysical Journal
Galaxy formation
Galaxy evolution
Galaxy masses
Galaxy properties
Star formation
Spectral energy distribution
title Strategies for Obtaining Robust Spectral Energy Distribution Fitting Parameters for Galaxies at z ∼ 1 and z ∼ 2 in the Absence of Infrared Data
title_full Strategies for Obtaining Robust Spectral Energy Distribution Fitting Parameters for Galaxies at z ∼ 1 and z ∼ 2 in the Absence of Infrared Data
title_fullStr Strategies for Obtaining Robust Spectral Energy Distribution Fitting Parameters for Galaxies at z ∼ 1 and z ∼ 2 in the Absence of Infrared Data
title_full_unstemmed Strategies for Obtaining Robust Spectral Energy Distribution Fitting Parameters for Galaxies at z ∼ 1 and z ∼ 2 in the Absence of Infrared Data
title_short Strategies for Obtaining Robust Spectral Energy Distribution Fitting Parameters for Galaxies at z ∼ 1 and z ∼ 2 in the Absence of Infrared Data
title_sort strategies for obtaining robust spectral energy distribution fitting parameters for galaxies at z ∼ 1 and z ∼ 2 in the absence of infrared data
topic Galaxy formation
Galaxy evolution
Galaxy masses
Galaxy properties
Star formation
Spectral energy distribution
url https://doi.org/10.3847/1538-4357/ad17c8
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