The deconvolved distribution estimator: enhancing reionization-era CO line-intensity mapping analyses with a cross-correlation analogue for one-point statistics. Issue 4 (2nd February 2023)

• Record Type: Journal Article
• Authors: Chung, Dongwoo T; Bangari, Ishika; Breysse, Patrick C; Ihle, Håvard T; Bond, J Richard; Dunne, Delaney A; Padmanabhan, Hamsa; Philip, Liju; Rennie, Thomas J; Viero, Marco P
• Is Part Of: Monthly notices of the Royal Astronomical Society. Volume 520:Issue 4(2023)
• Page Start: 5305
• Page End: 5316
• Publication Date: 2023-02-02
• Subjects: methods: statistical -- diffuse radiation -- large-scale structure of Universe; Astronomy -- Periodicals; Periodicals; 520.5
• DOI: 10.1093/mnras/stad359
• Languages: English
• ISSNs: 0035-8711

Abstract

ABSTRACT: We present the deconvolved distribution estimator (DDE), an extension of the voxel intensity distribution (VID), in the context of future observations proposed as part of the CO Mapping Array Project (COMAP). The DDE exploits the fact that the observed VID is a convolution of correlated signal intensity distributions and uncorrelated noise or interloper intensity distributions. By deconvolving the individual VID of two observables away from their joint VID in a Fourier-space operation, the DDE suppresses sensitivity to interloper emission while maintaining sensitivity to correlated components. The DDE thus improves upon the VID by reducing the relative influence of uncorrelated noise and interloper biases, which is useful in the context of COMAP observations that observe different rotational transitions of CO from the same comoving volume in different observing frequency bands. Fisher forecasts suggest that the theoretical sensitivity in the DDE allows significant improvements in constraining power compared to either the cross power spectrum or the individual VID data, and matches the constraining power of the combination of all other one- and two-point summary statistics. Future work should further investigate the covariance and model-dependent behaviour of this novel one-point cross-correlation statistic.