Extensions to models of the galaxy–halo connection
Abstract
We explore two widely used empirical models for the galaxy–halo connection, subhalo abundance matching (SHAM) and the halo occupation distribution (HOD), and compare them with the hydrodynamical simulation IllustrisTNG (TNG) for multiple statistics quantifying the galaxy distribution at ngal ≈ 1.3×10–3(Mpch–1)–3. We observe that in their most straightforward implementations, both models fail to reproduce the two-point clustering measured in TNG. We find that SHAM models that use the relaxation velocity, Vrelax, and the peak velocity, Vpeak, perform best, and match the clustering reasonably well, although neither captures adequately the one-halo clustering. Splitting the total sample into sub-populations, we discover that SHAM overpredicts the clustering of high-mass, blue, star-forming, and late-forming galaxies and underpredicts that of low-mass, red, quiescent, and early-forming galaxies. We also study various baryonic effects, finding that subhaloes in the dark-matter-only simulation have consistently higher values of their SHAM-proxy properties than their full-physics counterparts. We then consider a 2D implementation of the HOD model augmented with a secondary parameter (environment, velocity anisotropy, σ2Rhalf-mass, and total potential) tuned so as to match the two-point clustering of the IllustrisTNG galaxies on large scales. We analyse these galaxy populations adopting alternative statistical tools such as galaxy–galaxy lensing, void–galaxy cross-correlations, and cumulantsmore »
- Authors:
-
[1];
[1];
- Harvard–Smithsonian Center for Astrophysics, 60 Garden St, Cambridge, MA 02138, USA
- Publication Date:
- Research Org.:
- Harvard Univ., Cambridge, MA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1755255
- Alternate Identifier(s):
- OSTI ID: 1851838
- Grant/Contract Number:
- SC0013718
- Resource Type:
- Published Article
- Journal Name:
- Monthly Notices of the Royal Astronomical Society
- Additional Journal Information:
- Journal Name: Monthly Notices of the Royal Astronomical Society Journal Volume: 501 Journal Issue: 2; Journal ID: ISSN 0035-8711
- Publisher:
- Oxford University Press
- Country of Publication:
- United Kingdom
- Language:
- English
- Subject:
- 79 ASTRONOMY AND ASTROPHYSICS; Astronomy & Astrophysics; methods: numerical; galaxies: haloes; cosmology: theory; cosmology: large-scale structure of Universe
Citation Formats
Hadzhiyska, Boryana, Bose, Sownak, Eisenstein, Daniel, and Hernquist, Lars. Extensions to models of the galaxy–halo connection. United Kingdom: N. p., 2020.
Web. doi:10.1093/mnras/staa3776.
Hadzhiyska, Boryana, Bose, Sownak, Eisenstein, Daniel, & Hernquist, Lars. Extensions to models of the galaxy–halo connection. United Kingdom. https://doi.org/10.1093/mnras/staa3776
Hadzhiyska, Boryana, Bose, Sownak, Eisenstein, Daniel, and Hernquist, Lars. Tue .
"Extensions to models of the galaxy–halo connection". United Kingdom. https://doi.org/10.1093/mnras/staa3776.
@article{osti_1755255,
title = {Extensions to models of the galaxy–halo connection},
author = {Hadzhiyska, Boryana and Bose, Sownak and Eisenstein, Daniel and Hernquist, Lars},
abstractNote = {We explore two widely used empirical models for the galaxy–halo connection, subhalo abundance matching (SHAM) and the halo occupation distribution (HOD), and compare them with the hydrodynamical simulation IllustrisTNG (TNG) for multiple statistics quantifying the galaxy distribution at ngal ≈ 1.3×10–3(Mpch–1)–3. We observe that in their most straightforward implementations, both models fail to reproduce the two-point clustering measured in TNG. We find that SHAM models that use the relaxation velocity, Vrelax, and the peak velocity, Vpeak, perform best, and match the clustering reasonably well, although neither captures adequately the one-halo clustering. Splitting the total sample into sub-populations, we discover that SHAM overpredicts the clustering of high-mass, blue, star-forming, and late-forming galaxies and underpredicts that of low-mass, red, quiescent, and early-forming galaxies. We also study various baryonic effects, finding that subhaloes in the dark-matter-only simulation have consistently higher values of their SHAM-proxy properties than their full-physics counterparts. We then consider a 2D implementation of the HOD model augmented with a secondary parameter (environment, velocity anisotropy, σ2Rhalf-mass, and total potential) tuned so as to match the two-point clustering of the IllustrisTNG galaxies on large scales. We analyse these galaxy populations adopting alternative statistical tools such as galaxy–galaxy lensing, void–galaxy cross-correlations, and cumulants of the density field, finding that the hydrodynamical galaxy distribution disfavours σ2Rhalf-mass and the total potential as secondary parameters, while the environment and velocity anisotropy samples are consistent with full physics across all statistical probes examined. Our results demonstrate the power of examining multiple statistics for determining the secondary parameters that are vital for understanding the galaxy–halo connection.},
doi = {10.1093/mnras/staa3776},
journal = {Monthly Notices of the Royal Astronomical Society},
number = 2,
volume = 501,
place = {United Kingdom},
year = {Tue Dec 08 00:00:00 EST 2020},
month = {Tue Dec 08 00:00:00 EST 2020}
}
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