English

Analytic models of dust temperature in high-redshift galaxies

Astrophysics of Galaxies 2022-08-24 v1

Abstract

We investigate physical reasons for high dust temperatures (Tdust40T_\mathrm{dust}\gtrsim 40 K) observed in some high-redshift (z>5z>5) galaxies using analytic models. We consider two models that can be treated analytically: the radiative transfer (RT) model, {where a broad distribution of values for TdustT_\mathrm{dust} is considered}, and the one-tempearture (one-TT) model, which assumes {uniform TdustT_\mathrm{dust}}. These two extremes {serve to bracket the most realistic scenario}. We adopt the Kennicutt--Schmidt (KS) law to relate stellar radiation field to gas surface density, and vary the dust-to-gas ratio. As a consequence, our model is capable of predicting the relation between the surface density of star formation rate (ΣSFR\Sigma_\mathrm{SFR}) or dust mass (Σdust\Sigma_\mathrm{dust}) and TdustT_\mathrm{dust}. We show that the high TdustT_\mathrm{dust} observed at z5z\gtrsim 5 favour low dust-to-gas ratios (103\lesssim 10^{-3}). An enhanced star formation compared with the KS law gives an alternative explanation for the high TdustT_\mathrm{dust}. The dust temperatures are similar between the two (RT and one-TT) models as long as we use ALMA Bands 6--8. We also examine the relation among ΣSFR\Sigma_\mathrm{SFR}, Σdust\Sigma_\mathrm{dust} and TdustT_\mathrm{dust} without assuming the KS law, and confirm the consistency with the actual observational data at z>5z>5. In the one-TT model, we also examine a clumpy dust distribution, which predicts lower TdustT_\mathrm{dust} because of the leakage of stellar radiation. This enhances the requirement of low dust abundance or high star formation efficiency to explain the observed high TdustT_\mathrm{dust}.

Keywords

Cite

@article{arxiv.2208.04546,
  title  = {Analytic models of dust temperature in high-redshift galaxies},
  author = {Hiroyuki Hirashita and I-Da Chiang},
  journal= {arXiv preprint arXiv:2208.04546},
  year   = {2022}
}

Comments

12 pages, 5 figures, Accepted for publication in MNRAS

R2 v1 2026-06-25T01:35:14.104Z