Shedding light on the star formation rate-halo accretion rate connection and halo quenching mechanism via DECODE, the Discrete statistical sEmi-empiriCal mODEl
Shedding light on the star formation rate-halo accretion rate connection and halo quenching mechanism via DECODE, the Discrete statistical sEmi-empiriCal mODEl
Aims: the relative roles of the physical mechanisms involved in quenching galaxy star formation are still unclear. We tackle this fundamental problem with our cosmological semi-empirical model DECODE (Discrete statistical sEmi-empiriCal mODEl), designed to predict galaxy stellar mass assembly histories, from minimal input assumptions.
Methods: specifically, in this work the star formation history of each galaxy is calculated along its progenitor dark matter halo by assigning at each redshift a star formation rate extracted from a monotonic star formation rate-halo accretion rate (SFR-HAR) relation derived from abundance matching between the (observed) SFR function and the (numerically predicted) HAR function, a relation that is also predicted by the TNG100 simulation. SFRs are integrated across cosmic time to build up the mass of galaxies, which may halt their star formation following input physical quenching recipes.
Results: in this work we test the popular halo quenching scenario and we find that (1) the assumption of a monotonic relation between the SFR and HAR allows us to reproduce the number densities of the bulk of star-forming galaxies in the local Universe; (2) the halo quenching is sufficient to reproduce the statistics of the quenched galaxies and flat (steep) high-mass end of the stellar mass-halo mass relation (or SMF); and (3) to align with the observed steep (flat) low-mass end of the stellar mass-halo mass (or SMF) additional quenching processes in the least massive haloes are needed.
Conclusions: DECODE is an invaluable tool and will pave the way to investigate the origin of newly observed high-redshift objects from the latest ongoing facilities such as JWST and Euclid.
astro-ph.GA, Galaxies: evolution, Galaxies: abundances, Galaxies: star formation
Fu, Hao
09d6267e-c26d-4ac1-a653-2c5886c12b1e
Boco, Lumen
93c3f9ff-ba52-468f-b627-bc6cdae83e8f
Shankar, Francesco
b10c91e4-85cd-4394-a18a-d4f049fd9cdb
Lapi, Andrea
f696d82a-d82b-451d-9285-e51df4a1b4db
Ayromlou, Mohammadreza
600bc3a0-020c-4a7d-911d-90ff21cdc5f7
Roberts, Daniel
11aecf58-4f8f-4d6f-95f1-c173046ff31b
Peng, Yingjie
0df91d35-89ae-4ba4-85fa-9fb60e96a1e7
Rodríguez-Puebla, Aldo
b2fb4b80-48dd-475c-b414-6e7218c0ca32
Yuan, Feng
5dfc7427-c2ca-4ff8-a3a8-382f965bfc62
Cleland, Cressida
455b56fc-6f7f-4ac7-a513-568806e708ef
Mei, Simona
125aba1e-7263-45fa-97a6-a9a7cee6b7ed
Menci, Nicola
e68473f0-6f7f-48b8-8b76-088d8752df6a
Fu, Hao
09d6267e-c26d-4ac1-a653-2c5886c12b1e
Boco, Lumen
93c3f9ff-ba52-468f-b627-bc6cdae83e8f
Shankar, Francesco
b10c91e4-85cd-4394-a18a-d4f049fd9cdb
Lapi, Andrea
f696d82a-d82b-451d-9285-e51df4a1b4db
Ayromlou, Mohammadreza
600bc3a0-020c-4a7d-911d-90ff21cdc5f7
Roberts, Daniel
11aecf58-4f8f-4d6f-95f1-c173046ff31b
Peng, Yingjie
0df91d35-89ae-4ba4-85fa-9fb60e96a1e7
Rodríguez-Puebla, Aldo
b2fb4b80-48dd-475c-b414-6e7218c0ca32
Yuan, Feng
5dfc7427-c2ca-4ff8-a3a8-382f965bfc62
Cleland, Cressida
455b56fc-6f7f-4ac7-a513-568806e708ef
Mei, Simona
125aba1e-7263-45fa-97a6-a9a7cee6b7ed
Menci, Nicola
e68473f0-6f7f-48b8-8b76-088d8752df6a
Fu, Hao, Boco, Lumen, Shankar, Francesco, Lapi, Andrea, Ayromlou, Mohammadreza, Roberts, Daniel, Peng, Yingjie, Rodríguez-Puebla, Aldo, Yuan, Feng, Cleland, Cressida, Mei, Simona and Menci, Nicola
(2025)
Shedding light on the star formation rate-halo accretion rate connection and halo quenching mechanism via DECODE, the Discrete statistical sEmi-empiriCal mODEl.
Astronomy & Astrophysics, 695, [A252].
(doi:10.1051/0004-6361/202453218).
Abstract
Aims: the relative roles of the physical mechanisms involved in quenching galaxy star formation are still unclear. We tackle this fundamental problem with our cosmological semi-empirical model DECODE (Discrete statistical sEmi-empiriCal mODEl), designed to predict galaxy stellar mass assembly histories, from minimal input assumptions.
Methods: specifically, in this work the star formation history of each galaxy is calculated along its progenitor dark matter halo by assigning at each redshift a star formation rate extracted from a monotonic star formation rate-halo accretion rate (SFR-HAR) relation derived from abundance matching between the (observed) SFR function and the (numerically predicted) HAR function, a relation that is also predicted by the TNG100 simulation. SFRs are integrated across cosmic time to build up the mass of galaxies, which may halt their star formation following input physical quenching recipes.
Results: in this work we test the popular halo quenching scenario and we find that (1) the assumption of a monotonic relation between the SFR and HAR allows us to reproduce the number densities of the bulk of star-forming galaxies in the local Universe; (2) the halo quenching is sufficient to reproduce the statistics of the quenched galaxies and flat (steep) high-mass end of the stellar mass-halo mass relation (or SMF); and (3) to align with the observed steep (flat) low-mass end of the stellar mass-halo mass (or SMF) additional quenching processes in the least massive haloes are needed.
Conclusions: DECODE is an invaluable tool and will pave the way to investigate the origin of newly observed high-redshift objects from the latest ongoing facilities such as JWST and Euclid.
Text
2502.06942v2
- Author's Original
Text
aa53218-24
- Version of Record
More information
Accepted/In Press date: 10 February 2025
e-pub ahead of print date: 25 March 2025
Keywords:
astro-ph.GA, Galaxies: evolution, Galaxies: abundances, Galaxies: star formation
Identifiers
Local EPrints ID: 501053
URI: http://eprints.soton.ac.uk/id/eprint/501053
ISSN: 0004-6361
PURE UUID: 1d88904d-08da-46c0-b5f6-38c07c8f028d
Catalogue record
Date deposited: 21 May 2025 16:45
Last modified: 21 Aug 2025 04:25
Export record
Altmetrics
Contributors
Author:
Lumen Boco
Author:
Andrea Lapi
Author:
Mohammadreza Ayromlou
Author:
Daniel Roberts
Author:
Yingjie Peng
Author:
Aldo Rodríguez-Puebla
Author:
Feng Yuan
Author:
Cressida Cleland
Author:
Simona Mei
Author:
Nicola Menci
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