Cosmic star formation history with tomographic cosmic infrared background-galaxy cross-correlation
Ziang Yan, Ludovic van Waerbeke, Angus H. Wright, Maciej Bilicki,, Shiming Gu, Hendrik Hildebrandt, Abhishek S. Maniyar, and Tilman Tr\"oster

TL;DR
This study uses tomographic cross-correlation between cosmic infrared background maps and galaxy data to constrain the universe's star formation history up to redshift 4, providing new insights into galaxy evolution.
Contribution
It introduces a halo model-based method to connect CIB anisotropies with star formation rates, improving constraints on the cosmic star formation history using KiDS and Planck data.
Findings
Maximum star formation efficiency of 0.41 at halo mass 10^12.14 M_sun
Star formation rate density constrained up to z~1.5, extending to z=4 with external data
Galaxy bias increases from 1.1 at z=0 to 1.96 at z=1.5
Abstract
In this work, we probe the star formation history of the Universe using tomographic cross-correlation between the cosmic infrared background (CIB) and galaxy samples. The galaxy samples are from the Kilo-Degree Survey (KiDS), while the CIB maps are made from \planck\, sky maps. We measure the cross-correlation in harmonic space with a significance of 43. We model the cross-correlation with a halo model, which links CIB anisotropies to star formation rates (SFR) and galaxy abundance. We assume that SFR has a lognormal dependence on halo mass, while galaxy abundance follows the halo occupation distribution (HOD) model. The cross-correlations give a best-fit maximum star formation efficiency of at a halo mass . The derived star formation rate density (SFRD) is well constrained up to…
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