The Incomplete Conditional Stellar Mass Function: Unveiling the Stellar Mass Functions of Galaxies at 0.1 < Z < 0.8 from BOSS Observations
Hong Guo, Xiaohu Yang, Yi Lu

TL;DR
This paper introduces a new method combining galaxy clustering and incomplete stellar mass functions to accurately measure galaxy stellar mass functions and the stellar-halo mass relation, accounting for sample incompleteness in surveys.
Contribution
The paper develops and validates a novel approach to constrain galaxy missing fractions and stellar-halo mass relations using clustering data within the CSMF framework, applicable to incomplete survey data.
Findings
Sample completeness for BOSS is over 80% at z<0.6
Completeness drops to about 30% at higher redshifts
Accurate stellar mass functions and SHMRs are derived for 0.1<z<0.8
Abstract
We propose a novel method to constrain the missing fraction of galaxies using galaxy clustering measurements in the galaxy conditional stellar mass function (CSMF) framework, which is applicable to surveys that suffer significantly from sample selection effects. The clustering measurements, which are not sensitive to the random sampling (missing fraction) of galaxies, are widely used to constrain the stellar-halo mass relation (SHMR). By incorporating a missing fraction (incompleteness) component into the CSMF model (ICSMF), we use the incomplete stellar mass function and galaxy clustering to simultaneously constrain the missing fractions and the SHMRs. Tests based on mock galaxy catalogs with a few typical missing fraction models show that this method can accurately recover the missing fraction and the galaxy SHMR, and hence provides us reliable measurements of the galaxy stellar mass…
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