A New Stellar Mass Proxy for Subhalo Abundance Matching

Abstract

Subhalo abundance matching (SHAM) has played an important role in improving our understanding of how galaxies populate their host dark matter halos. In essence, the SHAM framework is to find a dark matter halo property that best correlates with an attribute of galaxies, such as stellar mass. The peak value of the maximum circular velocity ($V_{\max }$) a halo/subhalo has ever attained throughout its lifetime, $V_{\mathrm{peak}}$, has been a popular choice for SHAM. A recent study by Tonnesen & Ostriker (2021) suggested that quantity $\varphi$, which combines the present-day $V_{\max }$ and the peak value of halo dark matter mass, performs better in predicting stellar mass than $V_{\mathrm{peak}}$. Inspired by their approach, in this work, we find that further improvement can be achieved by a quantity ${\psi }_5$ that combines the 90th percentile of $V_{\max }$ a halo/subhalo has ever achieved with the 60th percentile of the dark matter halo time variation rate. Tests based on the simulation IllustrisTNG300 show that our new SHAM scheme, with just three free parameters, can improve the stellar mass prediction and mass-dependent clustering by 15% and 16% from $\varphi$, respectively, over the redshift range $z=0-2$.

16 pages, 8 figures, 3 tables, Accepted by The Astrophysical Journal

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Cited by in corpus (5)

• An Atlas of Color-selected Quiescent Galaxies at $z>3$ in Public $JWST$ Fields
• On the Significance of Rare Objects at High Redshift: The Impact of Cosmic Variance
• How the Galaxy-Halo Connection Depends on Large-Scale Environment
• Explaining ultra-massive quiescent galaxies at $3<z<5$ in the context of their environments
• Subhalo abundance matching using progenitor mass at varying redshift: Two modes of stellar mass growth imprinted into the Subaru HSC galaxy clustering