http://arxiv.org/abs/2009.14066
The halo model is a successful framework for describing the distribution of matter in the Universe — from weak lensing observables to galaxy 2-point correlation functions. We review the basic formulation of the halo model and several of its components in the context of galaxy two-point statistics, developing a coherent framework for its application.
We use this framework to motivate the presentation of a new Python tool for simple and efficient calculation of halo model quantities, and their extension to galaxy statistics via a \textit{halo occupation distribution}, called \halomod. This tool is efficient, simple to use, comprehensive and importantly provides a great deal of flexibility in terms of custom extensions. This Python tool is complemented by a new web-application at https://thehalomod.app that supports the generation of many halo model quantities directly from the browser — useful for educators, students, theorists and observers.
S. Murray, B. Diemer and Z. Chen
Wed, 30 Sep 2020
55/86
Comments: 39 pages (32 w/o refs and appendices), 13 figures, submitted to Astronomy and Computing