Modeling the evolution of infrared galaxies : clustering of galaxies in the Cosmic Infrared Background
Aur\'elie P\'enin, Olivier Dor\'e, Guilaine Lagache, and Matthieu, B\'ethermin

TL;DR
This paper develops a parametric model to analyze the clustering of infrared galaxies through cosmic infrared background anisotropies, highlighting the limitations and degeneracies in constraining galaxy evolution parameters.
Contribution
It introduces a comprehensive model combining galaxy luminosity evolution and halo clustering, and assesses the constraints achievable with current anisotropy measurements.
Findings
Clustering data alone cannot fully constrain galaxy evolution parameters.
Combining counts, luminosity functions, and anisotropies slightly improves constraints.
1-halo and 2-halo terms probe different galaxy mass regimes.
Abstract
Star-forming galaxies are a highly biased tracer of the underlying dark matter density field. Their clustering can be studied through the cosmic infrared background anisotropies. These anisotropies have been measured from 100 \mum to 2 mm in the last few years. In this paper, we present a fully parametric model allowing a joint analysis of these recent observations. In order to develop a coherent model at various wavelengths, we rely on two building blocks. The first one is a parametric model that describes the redshift evolution of the luminosity function of star-forming galaxies. It compares favorably to measured differential number counts and luminosity functions. The second one is a halo model based description of the clustering of galaxies. Starting from a fiducial model, we investigate parameter degeneracies using a Fisher analysis. We then discuss how halo of different mass and…
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