1. COMAP Early Science. V. Constraints and Forecasts at z ⼠3.
- Author
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Chung, Dongwoo T., Breysse, Patrick C., Cleary, Kieran A., Ihle, HĂĄvard T., Padmanabhan, Hamsa, Silva, Marta B., Richard Bond, J., Borowska, Jowita, Catha, Morgan, Church, Sarah E., Dunne, Delaney A., Kristian Eriksen, Hans, Kristine Foss, Marie, Gaier, Todd, Ott Gundersen, Joshua, Harper, Stuart E., Harris, Andrew I., Hensley, Brandon, Hobbs, Richard, and Keating, Laura C.
- Subjects
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PROPERTIES of matter , *GALACTIC evolution , *POWER spectra , *CARBON monoxide , *GALAXY formation , *REDSHIFT - Abstract
We present the current state of models for the z ⼠3 carbon monoxide (CO) line intensity signal targeted by the CO Mapping Array Project (COMAP) Pathfinder in the context of its early science results. Our fiducial model, relating dark matter halo properties to CO luminosities, informs parameter priors with empirical models of the galaxyâ€"halo connection and previous CO (1â€"0) observations. The Pathfinder early science data spanning wavenumbers k = 0.051â€"0.62 Mpcâ'1 represent the first direct 3D constraint on the clustering component of the CO (1â€"0) power spectrum. Our 95% upper limit on the redshift-space clustering amplitude A clust ≲ 70 ÎĽ K2 greatly improves on the indirect upper limit of 420 ÎĽ K2 reported from the CO Power Spectrum Survey (COPSS) measurement at k ⼠1 Mpcâ'1. The COMAP limit excludes a subset of models from previous literature and constrains interpretation of the COPSS results, demonstrating the complementary nature of COMAP and interferometric CO surveys. Using line bias expectations from our priors, we also constrain the squared mean line intensityâ€"bias product, Tb 2 ≲ 50 ÎĽ K2, and the cosmic molecular gas density, Ď H2 < 2.5 Ă— 108 M ⊙ Mpcâ'3 (95% upper limits). Based on early instrument performance and our current CO signal estimates, we forecast that the 5 yr Pathfinder campaign will detect the CO power spectrum with overall signal-to-noise ratio of 9â€"17. Between then and now, we also expect to detect the COâ€"galaxy cross-spectrum using overlapping galaxy survey data, enabling enhanced inferences of cosmic star formation and galaxy evolution history. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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