RadioLensfit: Bayesian weak lensing measurement in the visibility domain
Marzia Rivi, Lance Miller, Sphesihle Makhathini, Filipe Batoni Abdalla

TL;DR
RadioLensfit adapts a model-fitting shear measurement method for radio weak lensing, working directly in the visibility domain to reduce systematics, and shows promising simulation results for SKA-like data.
Contribution
It introduces RadioLensfit, a novel radio weak lensing measurement technique that operates in the visibility domain, avoiding imaging systematics.
Findings
Shear bias amplitude is comparable to SKA1 requirements.
Method performs well with realistic galaxy flux and size distributions.
Simulation results support feasibility for SKA-like surveys.
Abstract
Observationally, weak lensing has been served so far by optical surveys due to the much larger number densities of background galaxies achieved, which is typically by two to three orders of magnitude compared to radio. However, the high sensitivity of the new generation of radio telescopes such as the Square Kilometre Array (SKA) will provide a density of detected galaxies that is comparable to that found at optical wavelengths, and with significant source shape measurements to make large area radio surveys competitive for weak lensing studies. This will lead weak lensing to become one of the primary science drivers in radio surveys too, with the advantage that they will access the largest scales in the Universe going beyond optical surveys, like LSST and Euclid, in terms of redshifts that are probed. RadioLensfit is an adaptation to radio data of "lensfit", a model-fitting approach for…
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.
