English

Full-Sky Lensing Reconstruction of 21 cm Intensity Maps

Cosmology and Nongalactic Astrophysics 2019-07-10 v1

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 LreskeqRL\lesssim \ell_{\rm res}-k_{\rm eq}R where RR is the radius of the shell volume, keqk_{\rm eq} is the wavenumber for matter-radiation equality, and res\ell_{\rm res} 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 (SNR) for CϕϕC_\ell^{\phi\phi} using our SFB estimator increases by 107%. This shows that accounting for the curved sky in LIM weak lensing will be crucial for large-scale cosmology.

Keywords

Cite

@article{arxiv.1906.05873,
  title  = {Full-Sky Lensing Reconstruction of 21 cm Intensity Maps},
  author = {Priyesh Chakraborty and Anthony R. Pullen},
  journal= {arXiv preprint arXiv:1906.05873},
  year   = {2019}
}

Comments

19 pages, 9 figures, submitted to MNRAS