Model BOSS & eBOSS Luminous Red Galaxies at 0.2 < z < 1.0 using SubHalo Abundance Matching with 3 parameters
Jiaxi Yu, Cheng Zhao, Chia-Hsun Chuang, Julian Bautista, Ginevra, Favole, Jean-Paul Kneib, Faizan Mohammad, Ashley Ross, Anand Raichoor,, Charling Tao, Kyle Dawson, Graziano Rossi

TL;DR
This study enhances SubHalo Abundance Matching by incorporating additional parameters to accurately model Luminous Red Galaxies across a wide redshift range, improving the reproduction of observed clustering and understanding galaxy-halo relations.
Contribution
It introduces two new parameters, $v_{ m smear}$ and $V_{ m ceil}$, into SHAM to better match observed galaxy clustering and account for redshift uncertainties and incompleteness.
Findings
SHAM with additional parameters reproduces 2PCF multipoles effectively.
Redshift uncertainties align with repeat observations, except for LOWZ.
Incompleteness decreases with redshift due to magnitude limits.
Abstract
SubHalo Abundance Matching (SHAM) is an empirical method for constructing galaxy catalogues based on high-resolution -body simulations. We apply SHAM on the UNIT simulation to simulate SDSS BOSS/eBOSS Luminous Red Galaxies (LRGs) within a wide redshift range of . Besides the typical SHAM scatter parameter , we include and to take into account the redshift uncertainty and the galaxy incompleteness respectively. These two additional parameters are critical for reproducing the observed 2PCF multipoles on 5--25. The redshift uncertainties obtained from the best-fitting agree with those measured from repeat observations for all SDSS LRGs except for the LOWZ sample. We explore several potential systematics but none of them can explain the discrepancy found in LOWZ. Our explanation is that the LOWZ…
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