Reconstructing the Near-IR Background Fluctuations from known Galaxy Populations using Multiband Measurements of Luminosity Functions
Kari Helgason, Massimo Ricotti, Alexander Kashlinsky

TL;DR
This study models near-infrared background fluctuations from known galaxy populations using multi-band luminosity functions, finding they cannot fully explain observed large-scale clustering, implying a significant contribution from unknown faint sources.
Contribution
It provides a comprehensive empirical model of galaxy luminosity functions across multiple bands and redshifts, and compares predicted fluctuations to observations, highlighting the need for additional sources.
Findings
Known galaxy populations cannot account for large-scale CIB fluctuations.
Fluctuations increase with fainter source removal, indicating higher redshift contributions.
A very faint, highly clustered population likely dominates the unresolved CIB signal.
Abstract
We model fluctuations in the Cosmic Infrared Background (CIB) arising from known galaxy populations using 233 measured UV, optical and NIR luminosity functions (LF) from a variety of surveys spanning a wide range of redshifts. We compare best-fit Schechter parameters across the literature and find clear indication of evolution with redshift. Providing fitting formulae for the multi-band evolution of the LFs out to z~5, we calculate the total emission redshifted into the near-IR bands in the observer frame and recover the observed optical and near-IR galaxy counts to a good accuracy. Our empirical approach, in conjunction with a halo model describing the clustering of galaxies, allows us to compute the fluctuations of the unresolved CIB and compare the models to current measurements. We find that fluctuations from known galaxy populations are unable to account for the large scale CIB…
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