Full-sky lensing reconstruction of 21 cm intensity maps

Author:

Chakraborty Priyesh1,Pullen Anthony R1

Affiliation:

1. Center for Cosmology and Particle Physics, Department of Physics, New York University, 726 Broadway, New York, NY 10003, USA

Abstract

ABSTRACT Weak gravitational lensing of the 21 cm radiation is expected to be an important cosmological probe for post-reionization physics. We investigate the reconstruction of the matter density perturbations using a quadratic minimum variance estimator. The next generation of line intensity mapping (LIM) surveys such as HIRAX and CHIME will cover a larger sky fraction, which requires one to account for the curvature in the sky. Thus, we extend the plane-parallel flat-sky formalism for lensing reconstruction to account for a full-sky survey using the spherical Fourier–Bessel (SFB) expansion. Using the HIRAX 21 cm survey as a basis, we make predictions for lensing-reconstruction noise in our formalism and compare our results with the predictions from the plane-parallel formalism. We find agreement with the plane-parallel noise power spectrum at small scales and a significant deviation at scales L ≲ ℓres − keqR, where R is the radius of the shell volume, keq is the wavenumber for matter–radiation equality, and ℓres is the angular resolution scale. Furthermore, we derive the SFB flat-sky reconstruction noise and compare it with the full-sky SFB case as well as the plane-parallel case, finding minor deviations from the full-sky noise due to sphericity. We also determine that, in the absence of non-Gaussian statistics of the intensity field but accounting for foregrounds, the signal-to-noise ratio for $C_\ell ^{\phi \phi }$ using our SFB estimator increases by over 100 per cent. This shows that accounting for the curved sky in LIM weak lensing will be crucial for large-scale cosmology.

Funder

National Aeronautics and Space Administration

New York University

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

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