4.7 Article

Origin of the galaxy H I size-mass relation

Journal

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 490, Issue 1, Pages 96-113

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/mnras/stz2513

Keywords

galaxies: general; galaxies: haloes; galaxies: interactions; galaxies: ISM

Funding

  1. Australian Research Council Centre of Excellence [CE170100013]
  2. Program 'Rita Levi Montalcini' of the Italian MIUR

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We analytically derive the observed size-mass relation of galaxies' atomic hydrogen (H I), including limits on its scatter, based on simple assumptions about the structure of HI discs. We trial three generic profiles for HI surface density as a function of radius. First, we assert that HI surface densities saturate at a variable threshold, and otherwise fall off exponentially with radius or, secondly, radius squared. Our third model assumes the total gas surface density is exponential, with the HI fraction at each radius depending on local pressure. These are tested against a compilation of 110 galaxies from the THINGS, LITTLE THINGS, LVHIS, and Bluedisk surveys, whose HI surface density profiles are well resolved. All models fit the observations well and predict consistent size-mass relations. Using an analytical argument, we explain why processes that cause gas disc truncation- such as ram-pressure stripping - scarcely affect the HI size-mass relation. This is tested with the IllustrisTNG(100) cosmological, hydrodynamic simulation and the DARK SAGE semi-analytic model of galaxy formation, both of which capture radially resolved disc structure. For galaxies with m(*) >= 10(9) M-circle dot and m(H) (I) >= 10(8) M-circle dot, both simulations predict HI size-mass relations that align with observations, show no difference between central and satellite galaxies, and show only a minor, second-order dependence on host halo mass for satellites. Ultimately, the universally tight HI size-mass relation is mathematically inevitable and robust. Only by completely disrupting the structure of HI discs, e.g. through overly powerful feedback, could a simulation predict the relation poorly.

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