Exploring the Evolution of Dust Temperature using Spectral Energy Distribution Fitting in a Large Photometric Survey
G. T. Jones, E. R. Stanway

TL;DR
This study investigates how dust temperature in galaxies evolves with redshift by fitting spectral energy distributions from ultraviolet to far-infrared, revealing a modest increase in dust temperature up to redshift 2 and potential limitations at higher redshifts.
Contribution
It presents a novel analysis of dust temperature evolution using a comprehensive spectral energy distribution fitting approach across a large galaxy sample, accounting for contamination and defining a robust subsample.
Findings
Dust temperature increases linearly with redshift, T_d(z)=(4.8±1.5)×z + (26.2±1.5) K.
A clean subsample up to z~2 shows lower dust temperatures by about 4 K.
Photometric redshift samples at z>4.5 under-predict IR emission, indicating possible spatial disconnects.
Abstract
Panchromatic analysis of galaxy spectral energy distributions, spanning from the ultraviolet to the far-infrared, probes not only the stellar population but also the properties of interstellar dust through its extinction and long-wavelength reemission. However little work has exploited the full power of such fitting to constrain the redshift evolution of dust temperature in galaxies. To do so, we simultaneously fit ultraviolet, optical and infrared observations of stacked galaxy subsamples at a range of stellar masses and photometric redshifts at 0<<5, using an energy-balance formalism. However, we find UV-emission beyond the Lyman limit in some photometric redshift selected galaxy subsamples, giving rise to the possibility of contaminated observations. We carefully define a robust, clean subsample which extends to no further than ~2. This has consistently lower derived…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Stellar, planetary, and galactic studies
