Estimation of the Galaxy Quenching Rate in the Illustris Simulation
Yang Wang, Xuan Liu, Weishan Zhu, Lin Tang, and Weipeng Lin

TL;DR
This paper develops a method to accurately estimate galaxy quenching rates from the Illustris-1 simulation, identifying dominant quenching mechanisms and their evolution over cosmic time.
Contribution
It introduces a novel approach to decompose and quantify different quenching components using simulation data, improving understanding of galaxy evolution processes.
Findings
Mass quenching dominates the process.
Quenched galaxies cluster around specific mass and density.
The method roughly predicts actual quenching rates.
Abstract
Quenching is a key topic in exploring the formation and evolution of galaxies. In this work, we study the quenching rate, i.e., the variation in the fraction of quenched galaxies per unit time, of the Illustris-1 simulation. By building the quenched fraction function of each snapshot in the simulation, we derive an accurate form of quenching rate as . According to the analytic expression of the quenching rate , we split it into four components: mass quenching, environmental quenching, intrinsic mass quenching and intrinsic environmental quenching. The precise value and evolutions can be given via the formula of . With this method, we analyze the Illustris-1 simulation. We find that quenched galaxies concentrate around and at earlier times, and that the quenching galaxy population…
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