TL;DR
This paper develops a comprehensive halo model for line intensity mapping that predicts cross-correlations, models line noise, and reveals astrophysical insights, aiding in foreground rejection and joint cosmological analyses.
Contribution
It introduces a multi-line halo model with correlated luminosity scatter, enabling accurate predictions of LIM cross-correlations and decorrelation, and provides publicly available code for the community.
Findings
Model predicts scale-dependent decorrelation between lines.
Effective halo number density can exceed galaxy density.
Framework applied to multiple lines including Hα, [OIII], Lyman-α, CO, and [CII].
Abstract
Line intensity mapping (LIM) is a rapidly emerging technique for constraining cosmology and galaxy formation using multi-frequency, low angular resolution maps. Many LIM applications crucially rely on cross-correlations of two line intensity maps, or of intensity maps with galaxy surveys or galaxy/CMB lensing. We present a consistent halo model to predict all these cross-correlations and enable joint analyses, in 3D redshift-space and for 2D projected maps. We extend the conditional luminosity function formalism to the multi-line case, to consistently account for correlated scatter between multiple galaxy line luminosities. This allows us to model the scale-dependent decorrelation between two line intensity maps, a key input for foreground rejection and for approaches that estimate auto-spectra from cross-spectra. This also enables LIM cross-correlations to reveal astrophysical…
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Code & Models
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