Broadband Intensity Tomography: Spectral Tagging of the Cosmic UV Background
Yi-Kuan Chiang, Brice M\'enard, David Schiminovich

TL;DR
This paper introduces a spectral tagging technique using spatial fluctuations to recover redshift and spectral information of the cosmic UV background from broadband intensity mapping, revealing key spectral features and their evolution.
Contribution
The novel method exploits spatial cross-correlations to statistically recover spectral and redshift information from broadband UV observations, enabling detailed spectral feature detection without source assumptions.
Findings
Detected redshift-dependent UV background intensity up to z~2.
Constrained the UVB spectral features: Lyman break, UV continuum, Lyα emission.
Found the UV photon clustering bias to be chromatic and evolving.
Abstract
Cosmic photons can be efficiently collected by broadband intensity mapping but information on their emission redshift and frequency is largely lost. We introduce a technique to statistically recover these otherwise collapsed dimensions by exploiting information in spatial fluctuations and apply it to the Galaxy Evolution Explorer (GALEX) All Sky and Medium Imaging Surveys. By spatially cross-correlating photons in the GALEX far-UV (1500A) and near-UV (2300A) bands with a million spectroscopic objects in the Sloan Digital Sky Survey as a function of redshift, we robustly detect the redshift-dependent intensity of the UV background (UVB) modulated by its clustering bias up to . These measurements clearly reveal the imprints of UVB spectral features redshifting through the filters. Using a simple parameterization, we simultaneously fit a UVB emissivity and clustering bias factor to…
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