Spatial Clustering of High Redshift Lyman Break Galaxies
Charles Jose, Kandaswamy Subramanian, Raghunathan Srianand and, Saumyadip Samui

TL;DR
This paper develops a semi-analytic model to predict the clustering of high-redshift Lyman Break Galaxies, successfully matching observations across various scales and providing insights into halo masses and star formation durations.
Contribution
The study introduces a physically motivated semi-analytic model constrained by luminosity functions to accurately predict galaxy clustering and halo occupation at high redshifts.
Findings
Model reproduces observed large-scale bias and angular correlation functions.
Average halo mass for LBGs at z=4 is 6.2 x 10^{11} M_\odot.
Small-scale clustering is influenced by star formation duration in halos.
Abstract
We present a physically motivated semi-analytic model to understand the clustering of high redshift LBGs. We show that the model parameters constrained by the observed luminosity function, can be used to predict large scale (\theta > 80 arcsec) bias and angular correlation function of galaxies. These predictions are shown to reproduce the observations remarkably well. We then adopt these model parameters to calculate the halo occupation distribution (HOD) using the conditional mass function. The halo model using this HOD is shown to provide a reasonably good fit to the observed clustering of LBGs at both large (\theta>80") and small (\theta < 10") angular scales for z=3-5 and several limiting magnitudes. However, our models underpredict the clustering amplitude at intermediate angular scales, where quasi-linear effects are important. The average mass of halos contributing to the…
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