An Order Statistics Approach to the Halo Model for Galaxies

TL;DR

This paper applies order statistics to the Halo Model to explain galaxy luminosity distributions and clustering, revealing the need for a distinct treatment of central galaxies due to physical differences.

Contribution

It introduces an order statistics framework for the Halo Model, highlighting the importance of separate modeling for central galaxies and satellite populations.

Findings

Universal luminosity function models reproduce central-satellite relations.

Mass-dependent models better match clustering data but underpredict central luminosities.

A statistical brightening model aligns predictions with observed luminosity gaps.

Abstract

We use the Halo Model to explore the implications of assuming that galaxy luminosities in groups are randomly drawn from an underlying luminosity function. We show that even the simplest of such order statistics models -- one in which this luminosity function $p(L)$ is universal -- naturally produces a number of features associated with previous analyses based on the `central plus Poisson satellites' hypothesis. These include the monotonic relation of mean central luminosity with halo mass, the Lognormal distribution around this mean, and the tight relation between the central and satellite mass scales. In stark contrast to observations of galaxy clustering, however, this model predicts $\textit{no}$ luminosity dependence of large scale clustering. We then show that an extended version of this model, based on the order statistics of a $\textit{halo mass dependent}$ luminosity function $p(L|m)$, is in much better agreement with the clustering data as well as satellite luminosities, but systematically under-predicts central luminosities. This brings into focus the idea that central galaxies constitute a distinct population that is affected by different physical processes than are the satellites. We model this physical difference as a statistical brightening of the central luminosities, over and above the order statistics prediction. The magnitude gap between the brightest and second brightest group galaxy is predicted as a by-product, and is also in good agreement with observations. We propose that this order statistics framework provides a useful language in which to compare the Halo Model for galaxies with more physically motivated galaxy formation models