Cosmic Infrared Background Tomography and a Census of Cosmic Dust and Star Formation
Yi-Kuan Chiang, Ryu Makiya, Brice M\'enard

TL;DR
This paper presents a tomographic analysis of the cosmic infrared background using multi-frequency intensity maps and spectroscopic data, revealing the evolution of dust and star formation across cosmic time with high precision.
Contribution
It introduces a novel cross-correlation method combining multiple infrared maps and spectroscopic data to reconstruct the redshift-dependent CIB spectrum and dust properties.
Findings
Detected the evolving CIB spectrum with 60σ significance.
Constrained cosmic dust density peaking at redshift 1-1.5.
Mapped star formation history with negligible cosmic variance.
Abstract
The cosmic far-infrared background (CIB) encodes dust emission from all galaxies and carries valuable information on structure formation, star formation, and chemical enrichment across cosmic time. However, its redshift-dependent spectrum remains poorly constrained due to line-of-sight projection effects. We address this by cross-correlating 11 far-infrared intensity maps spanning a 50-fold frequency range from Planck, Herschel, and IRAS, with spectroscopic galaxies and quasars from SDSS I-IV tomographically. We mitigate foregrounds using CSFD, a CIB-free Milky Way dust map. These cross-correlation amplitudes on two-halo scales trace bias-weighted CIB redshift distributions and collectively yield a detection of the evolving CIB spectrum, sampled across hundreds of rest-frame frequencies over . We break the bias-intensity degeneracy by adding monopole information…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Astrophysics and Star Formation Studies
