Cross-correlating Carbon Monoxide Line-intensity Maps with Spectroscopic and Photometric Galaxy Surveys
Dongwoo T. Chung, Marco P. Viero, Sarah E. Church, Risa H. Wechsler,, Marcelo A. Alvarez, J. Richard Bond, Patrick C. Breysse, Kieran A. Cleary,, Hans K. Eriksen, Marie K. Foss, Joshua O. Gundersen, Stuart E. Harper,, H{\aa}vard T. Ihle, Laura C. Keating, Norman Murray

TL;DR
This paper explores the potential for detecting cross-correlation signals between CO line-intensity maps and galaxy surveys, emphasizing the importance of precise redshift measurements and source density for successful detection.
Contribution
It assesses the feasibility of cross-correlating CO intensity maps with galaxy surveys, highlighting the necessary redshift accuracy and source density for significant detection.
Findings
Spectroscopic redshift accuracy of <0.003 enhances detection prospects.
Source density of >10^{-4} sources/Mpc^3 is beneficial.
Future surveys could achieve these requirements for effective cross-correlation.
Abstract
Line-intensity mapping (LIM or IM) is an emerging field of observational work, with strong potential to fit into a larger effort to probe large-scale structure and small-scale astrophysical phenomena using multiple complementary tracers. Taking full advantage of such complementarity means, in part, undertaking line-intensity surveys with galaxy surveys in mind. We consider the potential for detection of a cross-correlation signal between COMAP and blind surveys based on photometric redshifts (as in COSMOS) or based on spectroscopic data (as with the HETDEX survey of Lyman- emitters). We find that obtaining accuracy in redshifts and sources per Mpc with spectroscopic redshift determination should enable a CO-galaxy cross spectrum detection significance at least twice that of the CO auto spectrum. Either a future targeted…
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