Subhalo abundance matching using progenitor mass at varying redshift: Two modes of stellar mass growth imprinted into the Subaru HSC galaxy clustering
Shogo Masaki, Daichi Kashino, Shogo Ishikawa, Yen-Ting Lin

TL;DR
This paper introduces a new subhalo abundance matching model using progenitor mass at varying redshifts to better predict galaxy clustering, revealing insights into galaxy growth modes and improving over traditional models.
Contribution
The study proposes a novel $M_{prog}$-based SHAM model with a redshift parameter, demonstrating improved clustering predictions and insights into galaxy mass growth mechanisms.
Findings
$M_{prog}$ model accurately reproduces observed galaxy clustering.
It outperforms the $V_{peak}$ model at small scales.
The redshift parameter $z_{prog}$ varies with galaxy mass, indicating different growth modes.
Abstract
We propose a novel subhalo abundance matching (SHAM) model that uses the virial mass of the main progenitor of each (sub)halo as a proxy of the galaxy stellar mass at the time of observation. This model predicts the two-point correlation functions depending on the choice of the epoch at which is quoted. With as a fitting parameter, we apply the model to the angular correlation functions measured with varying stellar mass thresholds from to using a sample of galaxies at from the Subaru Hyper Suprime-Cam survey. The model can reproduce the observations very well over . We find that, for the samples of ,…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research
