A stochastic model to reproduce the star formation history of individual galaxies in hydrodynamic simulations

Yang Wang, Nicola R. Napolitano, Weiguang Cui, Xiao-Dong Li, Alexander Knebe, Chris Power, Frazer Pearce, Lin Tang, Gustavo Yepes, Xi Kang

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
54 Downloads (Pure)

Abstract

The star formation history (SFH) of galaxies is critical for understanding galaxy evolution. Hydrodynamical simulations enable us to precisely reconstruct the SFH of galaxies and establish a link to the underlying physical processes. In this work, we present a model to describe individual galaxies' SFHs from three simulations: TheThreeHundred, Illustris-1, and TNG100-1. This model divides the galaxy SFH into two distinct components: the 'main sequence' and the 'variation'. The 'main sequence' part is generated by tracing the history of the SFR - M-* main sequence of galaxies across time. The 'variation' part consists of the scatter around the main sequence, which is reproduced by fractional Brownian motions. We find that: (1) the evolution of the main sequence varies between simulations; (2) fractional Brownian motions can reproduce many features of SFHs; however, discrepancies still exist; and (3) the variations and mass-loss rate are crucial for reconstructing the SFHs of the simulations. This model provides a fair description of the SFHs in simulations. On the other hand, by correlating the fractional Brownian motion model to simulation data, we provide a 'standard' against which to compare simulations.
Original languageEnglish
Pages (from-to)3249-3269
Number of pages21
JournalMonthly Notices of the Royal Astronomical Society
Volume515
Issue number3
Early online date4 Aug 2022
DOIs
Publication statusPublished - Sept 2022

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