The University of Southampton
University of Southampton Institutional Repository

Predicting fully self-consistent satellite richness, galaxy growth and starformation rates from the STastical sEmi-Empirical modeL steel

Predicting fully self-consistent satellite richness, galaxy growth and starformation rates from the STastical sEmi-Empirical modeL steel
Predicting fully self-consistent satellite richness, galaxy growth and starformation rates from the STastical sEmi-Empirical modeL steel
Observational systematics complicate comparisons with theoretical models limiting understanding of galaxy evolution. In particular, different empirical determinations of the stellar mass function imply distinct mappings between the galaxy and halo masses, leading to diverse galaxy evolutionary tracks. Using our state-of-the-art STatistical sEmi-Empirical modeL, STEEL, we show fully self-consistent models capable of generating galaxy growth histories that simultaneously and closely agree with the latest data on satellite richness and star formation rates at multiple redshifts and environments. Central galaxy histories are generated using the central halo mass tracks from state-of-the-art statistical dark matter accretion histories coupled to abundance matching routines. We show that too flat high-mass slopes in the input stellar mass–halo mass relations as predicted by previous works, imply non-physical stellar mass growth histories weaker than those implied by satellite accretion alone. Our best-fitting models reproduce the satellite distributions at the largest masses and highest redshifts probed, the latest data on star formation rates and its bimodality in the local Universe, and the correct fraction of ellipticals. Our results are important to predict robust and self-consistent stellar mass–halo mass relations and to generate reliable galaxy mock catalogues for the next generations of extragalactic surveys such as Euclid and LSST.
0035-8711
634–654
Grylls, Philip J
07a63569-16b1-42c4-87fe-bda0fbc3481c
Shankar, F
b10c91e4-85cd-4394-a18a-d4f049fd9cdb
Leja, J
467b54f9-6388-4a2c-a0c3-9570d8055c4b
Menci, N
ccf9bf08-c993-4e53-9b2c-fc2f71a57698
Moster, B
c95bee11-b7db-44c2-878f-5b38abceefca
Behroozi, P
c14c269b-042b-4a64-9d85-2eca4a5d3c6e
Zanisi, L
87405729-1792-4919-a0de-fc92ea450edb
Grylls, Philip J
07a63569-16b1-42c4-87fe-bda0fbc3481c
Shankar, F
b10c91e4-85cd-4394-a18a-d4f049fd9cdb
Leja, J
467b54f9-6388-4a2c-a0c3-9570d8055c4b
Menci, N
ccf9bf08-c993-4e53-9b2c-fc2f71a57698
Moster, B
c95bee11-b7db-44c2-878f-5b38abceefca
Behroozi, P
c14c269b-042b-4a64-9d85-2eca4a5d3c6e
Zanisi, L
87405729-1792-4919-a0de-fc92ea450edb

Grylls, Philip J, Shankar, F, Leja, J, Menci, N, Moster, B, Behroozi, P and Zanisi, L (2019) Predicting fully self-consistent satellite richness, galaxy growth and starformation rates from the STastical sEmi-Empirical modeL steel. Monthly Notices of the Royal Astronomical Society, 491 (1), 634–654. (doi:10.1093/mnras/stz2956).

Record type: Article

Abstract

Observational systematics complicate comparisons with theoretical models limiting understanding of galaxy evolution. In particular, different empirical determinations of the stellar mass function imply distinct mappings between the galaxy and halo masses, leading to diverse galaxy evolutionary tracks. Using our state-of-the-art STatistical sEmi-Empirical modeL, STEEL, we show fully self-consistent models capable of generating galaxy growth histories that simultaneously and closely agree with the latest data on satellite richness and star formation rates at multiple redshifts and environments. Central galaxy histories are generated using the central halo mass tracks from state-of-the-art statistical dark matter accretion histories coupled to abundance matching routines. We show that too flat high-mass slopes in the input stellar mass–halo mass relations as predicted by previous works, imply non-physical stellar mass growth histories weaker than those implied by satellite accretion alone. Our best-fitting models reproduce the satellite distributions at the largest masses and highest redshifts probed, the latest data on star formation rates and its bimodality in the local Universe, and the correct fraction of ellipticals. Our results are important to predict robust and self-consistent stellar mass–halo mass relations and to generate reliable galaxy mock catalogues for the next generations of extragalactic surveys such as Euclid and LSST.

Text
1910.08417 - Accepted Manuscript
Download (2MB)
Text
1910.08417
Restricted to Repository staff only
Request a copy

More information

Accepted/In Press date: 18 October 2019
e-pub ahead of print date: 22 October 2019
Published date: 3 December 2019

Identifiers

Local EPrints ID: 438479
URI: http://eprints.soton.ac.uk/id/eprint/438479
ISSN: 0035-8711
PURE UUID: 6eabeac3-fa0a-4bf5-b871-884c574e0b68

Catalogue record

Date deposited: 11 Mar 2020 17:30
Last modified: 06 Oct 2020 20:11

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×