NEUTRALUNIVERSEMACHINE: Predictions of H I gas in different theoretical models
We investigate the distribution and evolution of H I gas in different theoretical models, including hydrodynamical simulations of IllustrisTNG and SIMBA, the semi-analytical model of GAEA, and the empirical model of N EUTRAL U NIVERSE M ACHINE (NUM). By comparing model predictions for the H I mass function (HIMF), H I -halo and H I -stellar mass relations, conditional H I mass function (CHIMF) and the halo occupation distribution (HOD) of H I -selected galaxies, we find that all models show reasonable agreement with the observed HIMF at z ∼ 0. However, the differences become much larger at higher redshifts of z = 1 and z = 2. The HIMF of NUM shows remarkable agreement with the observation at z = 1, whereas other models predict much smaller amplitudes of HIMF at the high-mass end. Comparisons of CHIMF distributions indicate that the HIMF is dominated by haloes of 10 < log( M vir / M ⊙ ) < 11 and 11 < log( M vir / M ⊙ ) < 12 at the low- and high-mass ends, respectively. From the H I HODs of central galaxies, we find that TNG100 overpredicts the number of central galaxies with high M H I in massive haloes, and that GAEA shows a very strong depletion of H I gas in quenched centrals of massive haloes. The main cause of these differences is the AGN feedback mechanisms implemented in different models.
Authors
- Lizhi Wen (ORCID: https://orcid.org/0000-0003-0017-1689)
- Fabio Fontanot (ORCID: https://orcid.org/0000-0003-4744-0188)
- Hong Guo (ORCID: https://orcid.org/0000-0003-4936-8247)
- Lizhi Xie (ORCID: https://orcid.org/0000-0003-3864-068X)
- Wenyue Ma (ORCID: https://orcid.org/0000-0003-4448-6500)
- Michaela Hirschmann (ORCID: https://orcid.org/0000-0002-3301-3321)
- G. De Lucia (ORCID: https://orcid.org/0000-0002-6220-9104)
Publication Details
- Journal
- Astronomy and Astrophysics
- Published
- 2025-05-30
- DOI
- https://doi.org/10.1051/0004-6361/202452697
- Primary Topic
- Gas Dynamics and Kinetic Theory
- Type
- article
- Field-Weighted Citation Impact
- 0.00