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The significant effects of stellar mass estimation on galaxy pair fractions

The significant effects of stellar mass estimation on galaxy pair fractions
The significant effects of stellar mass estimation on galaxy pair fractions
Theoretical models suggest that galaxy mergers may have profoundly shaped galaxy morphologies through cosmic time. However, observational estimates of galaxy pair fractions, and implied galaxy mergers, still do not converge, suggesting different numbers and redshift evolution. This paper explores the connection between stellar mass estimation and the pair fraction of galaxies using STEEL⁠, the Statistical sEmi-Emprical modeL, in which galaxies are mapped on to host dark matter haloes via a stellar mass–halo mass (SMHM) relation. As haloes of different mass are predicted to undergo, on average, different degrees of mergers, we expect that galaxy merger rates at fixed stellar mass will also vary depending on the shape of the input SMHM relation. Using a variety of input SMHM relations, also including one that matches the outputs of the Illustris TNG simulation, we thoroughly explore how systematic variations in the stellar mass functions propagate on to the normalization and redshift dependence of the galaxy pair fraction. We find that (i) stellar mass functions characterized by larger number densities of massive galaxies and thus a steeper SMHM relation, result in a substantial reduction of the pair fractions of massive galaxies; (ii) a time-varying SMHM relation produces galaxy pair fractions that can have varied redshift evolutions. We argue that in a hierarchical, dark matter dominated Universe, stellar mass estimates are a considerable cause of bias that must be accounted for when comparing pair fractions from different data sets or from theoretical models developed independently of the fitted survey data.
1365-2966
2262-2275
Grylls, Philip J
dff3e462-df6d-46cd-8366-91a75abc9a9e
Shankar, F
b10c91e4-85cd-4394-a18a-d4f049fd9cdb
Conselice, C. J.
ddb44e19-7133-4ec3-b39d-28502f2f8e5a
Grylls, Philip J
dff3e462-df6d-46cd-8366-91a75abc9a9e
Shankar, F
b10c91e4-85cd-4394-a18a-d4f049fd9cdb
Conselice, C. J.
ddb44e19-7133-4ec3-b39d-28502f2f8e5a

Grylls, Philip J, Shankar, F and Conselice, C. J. (2020) The significant effects of stellar mass estimation on galaxy pair fractions. Monthly Notices of the Royal Astronomical Society, 499 (2), 2262-2275. (doi:10.1093/mnras/staa2966).

Record type: Article

Abstract

Theoretical models suggest that galaxy mergers may have profoundly shaped galaxy morphologies through cosmic time. However, observational estimates of galaxy pair fractions, and implied galaxy mergers, still do not converge, suggesting different numbers and redshift evolution. This paper explores the connection between stellar mass estimation and the pair fraction of galaxies using STEEL⁠, the Statistical sEmi-Emprical modeL, in which galaxies are mapped on to host dark matter haloes via a stellar mass–halo mass (SMHM) relation. As haloes of different mass are predicted to undergo, on average, different degrees of mergers, we expect that galaxy merger rates at fixed stellar mass will also vary depending on the shape of the input SMHM relation. Using a variety of input SMHM relations, also including one that matches the outputs of the Illustris TNG simulation, we thoroughly explore how systematic variations in the stellar mass functions propagate on to the normalization and redshift dependence of the galaxy pair fraction. We find that (i) stellar mass functions characterized by larger number densities of massive galaxies and thus a steeper SMHM relation, result in a substantial reduction of the pair fractions of massive galaxies; (ii) a time-varying SMHM relation produces galaxy pair fractions that can have varied redshift evolutions. We argue that in a hierarchical, dark matter dominated Universe, stellar mass estimates are a considerable cause of bias that must be accounted for when comparing pair fractions from different data sets or from theoretical models developed independently of the fitted survey data.

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More information

e-pub ahead of print date: 30 September 2020
Published date: 1 December 2020
Additional Information: Copyright © 2020, Oxford University Press

Identifiers

Local EPrints ID: 467940
URI: http://eprints.soton.ac.uk/id/eprint/467940
ISSN: 1365-2966
PURE UUID: 01b4faab-7871-4888-8b3e-f97f9e60416d
ORCID for Philip J Grylls: ORCID iD orcid.org/0000-0001-9677-5852

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Date deposited: 26 Jul 2022 16:37
Last modified: 16 Mar 2024 17:13

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Contributors

Author: Philip J Grylls ORCID iD
Author: F Shankar
Author: C. J. Conselice

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