Mapping stellar content to dark matter halos using galaxy clustering and galaxy-galaxy lensing in the SDSS DR7
Ying Zu, Rachel Mandelbaum

TL;DR
This paper introduces the iHOD model, a novel statistical approach that jointly fits galaxy clustering and lensing data from SDSS to accurately map galaxy stellar mass to dark matter halos, improving constraints and predictions.
Contribution
The iHOD model advances galaxy-halo mapping by including more galaxies and modeling sample incompleteness, breaking degeneracies without strong priors, and predicting detailed stellar mass functions.
Findings
Successfully explains SDSS galaxy clustering and lensing over four decades in stellar mass.
Detects a decline in scatter of stellar mass at fixed halo mass from 0.22 to 0.18 dex.
Predicts departure from Schechter function in satellite stellar mass distributions.
Abstract
The mapping between the distributions of the observed galaxy stellar mass and the underlying dark matter halos provides the crucial link from theories of large-scale structure formation to interpreting the complex phenomena of galaxy formation and evolution. We develop a novel statistical method, based on the Halo Occupation Distribution model (HOD), to solve for this mapping by jointly fitting the galaxy clustering and the galaxy-galaxy lensing measured from the Sloan Digital Sky Survey (SDSS). The method, called the iHOD model, extracts maximum information from the survey by including ~80% more galaxies than the traditional HOD methods, and takes into account the incompleteness of the stellar mass samples in a statistically consistent manner. The derived stellar-to-halo mass relation not only explains the clustering and lensing of SDSS galaxies over almost four decades in stellar…
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