The stellar populations of quiescent ultra-diffuse galaxies from optical to mid-infrared spectral energy distribution fitting
Maria Luisa Buzzo, Duncan A. Forbes, Jean P. Brodie, Aaron J., Romanowsky, Michelle E. Cluver, Thomas H. Jarrett, Seppo Laine, Warrick J., Couch, Jonah S. Gannon, Anna Ferr\'e-Mateu, Nobuhiro Okabe

TL;DR
This study uses spectral energy distribution fitting to analyze the stellar populations of 29 quiescent ultra-diffuse galaxies, revealing environmental effects on age, metallicity, and possible formation scenarios.
Contribution
It applies Bayesian SED fitting across optical to mid-infrared data to characterize UDGs and introduces new photometric redshift estimates for some galaxies.
Findings
Field UDGs are younger than cluster UDGs.
All UDGs are below the dwarf galaxy mass-metallicity relation.
GC-poor UDGs are more metal-rich than GC-rich ones.
Abstract
We use spectral energy distribution (SED) fitting to place constraints on the stellar population properties of 29 quiescent ultra-diffuse galaxies (UDGs) across different environments. We use the fully Bayesian routine PROSPECTOR coupled with archival data in the optical, near, and mid-infrared from Spitzer and WISE under the assumption of an exponentially declining star formation history. We recover the stellar mass, age, metallicity, dust content, star formation time scales and photometric redshifts (photo-zs) of the UDGs studied. Using the mid-infrared data, we probe the existence of dust in UDGs. Although its presence cannot be confirmed, we find that the inclusion of small amounts of dust in the models brings the stellar populations closer to those reported with spectroscopy. Additionally, we fit the redshifts of all galaxies. We find a high accuracy in recovering photo-zs compared…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Advanced Fluorescence Microscopy Techniques · Impact of Light on Environment and Health
