Lensing reconstruction from line intensity maps: the impact of gravitational nonlinearity
Simon Foreman, P. Daniel Meerburg, Alexander van Engelen, Joel Meyers

TL;DR
This paper assesses the feasibility of detecting gravitational lensing in line intensity maps, highlighting the impact of nonlinearities and proposing mitigation techniques, with implications for upcoming surveys like SKA-Low and CHIME.
Contribution
It introduces a bias-hardened estimator to reduce nonlinear contamination in lensing reconstruction from line intensity maps and evaluates detection prospects for future surveys.
Findings
Nonlinearities significantly contaminate lensing estimators but can be mitigated.
Detection of lensing potential is challenging for first-phase SKA-Low, CHIME, and HIRAX.
Cross-correlations with galaxy surveys are promising if systematics are controlled.
Abstract
We investigate the detection prospects for gravitational lensing of three-dimensional maps from upcoming line intensity surveys, focusing in particular on the impact of gravitational nonlinearities on standard quadratic lensing estimators. Using perturbation theory, we show that these nonlinearities can provide a significant contaminant to lensing reconstruction, even for observations at reionization-era redshifts. However, we show how this contamination can be mitigated with the use of a "bias-hardened" estimator. Along the way, we present an estimator for reconstructing long-wavelength density modes, in the spirit of the "tidal reconstruction" technique that has been proposed elsewhere, and discuss the dominant biases on this estimator. After applying bias-hardening, we find that a detection of the lensing potential power spectrum will still be challenging for the first phase of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
