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Unveiling the (in)consistencies among the galaxy stellar mass function, star formation histories, satellite abundances, and intracluster light from a semi-empirical perspective

In a hierarchical, dark matter-dominated Universe, stellar mass functions (SMFs), galaxy merger rates, star formation histories (SFHs), satellite abundances, and intracluster light (ICL), should all be intimately connected observables. However, the systematics affecting observations still prevent un...

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Main Authors: Fu, Hao (Author) , Shankar, Francesco (Author) , Ayromlou, Mohammadreza (Author) , Koutsouridou, Ioanna (Author) , Cattaneo, Andrea (Author) , Bertemes, Caroline (Author) , Bellstedt, Sabine (Author) , Martín-Navarro, Ignacio (Author) , Leja, Joel (Author) , Allevato, Viola (Author) , Bernardi, Mariangela (Author) , Boco, Lumen (Author) , Dimauro, Paola (Author) , Gruppioni, Carlotta (Author) , Lapi, Andrea (Author) , Menci, Nicola (Author) , Rodríguez, Iván Muñoz (Author) , Puglisi, Annagrazia (Author) , Alonso-Tetilla, Alba V (Author)
Format: Article (Journal)
Language:English
Published: July 2024
In: Monthly notices of the Royal Astronomical Society
Year: 2024, Volume: 532, Issue: 1, Pages: 177-197
ISSN:1365-2966
DOI:10.1093/mnras/stae1492
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1093/mnras/stae1492
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Author Notes:Hao Fu, Francesco Shankar, Mohammadreza Ayromlou, Ioanna Koutsouridou, Andrea Cattaneo, Caroline Bertemes, Sabine Bellstedt, Ignacio Martín-Navarro, Joel Leja, Viola Allevato, Mariangela Bernardi, Lumen Boco, Paola Dimauro, Carlotta Gruppioni, Andrea Lapi, Nicola Menci, Iván Muñoz Rodríguez, Annagrazia Puglisi and Alba V. Alonso-Tetilla
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Summary:In a hierarchical, dark matter-dominated Universe, stellar mass functions (SMFs), galaxy merger rates, star formation histories (SFHs), satellite abundances, and intracluster light (ICL), should all be intimately connected observables. However, the systematics affecting observations still prevent universal and uniform measurements of, for example, the SMF and the SFHs, inevitably preventing theoretical models to compare with multiple data sets robustly and simultaneously. We here present our holistic semi-empirical model decode (Discrete statistical sEmi-empiriCal mODEl) that converts via abundance matching dark matter merger trees into galaxy assembly histories, using different SMFs in input and predicting all other observables in output in a fully data-driven and self-consistent fashion with minimal assumptions. We find that: (1) weakly evolving or nearly constant SMFs below the knee ($M_\star \lesssim 10^{11} \, \mathrm{M}_\odot$) are the best suited to generate SFHs aligned with those inferred from MaNGA, SDSS, GAMA, and, more recently, JWST; (2) the evolution of satellites after infall only affects the satellite abundances and SFHs of massive central galaxies but not their merger histories; (3) the resulting SFR-$M_\star$ relation is lower in normalization by a factor of $\sim 2$ with respect to observations, with a flattening at high masses more pronounced in the presence of mergers; (4) the latest data on ICL can be reproduced if mass-loss from mergers is included in the models. Our findings are pivotal in acting as pathfinder to test the self-consistency of the high-quality data from, e.g. JWST and Euclid.
Item Description:Veröffentlicht: 14 June 2024
Gesehen am 27.01.2025
Physical Description:Online Resource
ISSN:1365-2966
DOI:10.1093/mnras/stae1492

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