A fast direct method of mass reconstruction for gravitational lenses
Marco Lombardi (1,2) & Giuseppe Bertin (2) ((1) European Souther, Observatory, Garching, Germany (2) Scuola Normale Superiore, Pisa, Italy)

TL;DR
This paper introduces a highly efficient direct method for reconstructing mass distributions in gravitational lensing, significantly reducing computation time and enabling large-scale analyses of galaxy distortions.
Contribution
The authors present a novel direct variational method that accelerates mass reconstruction in gravitational lensing by a factor of 100 to 1000 compared to existing techniques.
Findings
Reduces CPU time to about 1 second for 400 grid points
Enables analysis of large datasets previously impractical with slower methods
Facilitates long-term cosmological and statistical studies using simulated observations
Abstract
Statistical analyses of observed galaxy distortions are often used to reconstruct the mass distribution of an intervening cluster responsible for gravitational lensing. In current projects, distortions of thousands of source galaxies have to be handled efficiently; much larger data bases and more massive investigations are envisaged for new major observational initiatives. In this article we present an efficient mass reconstruction procedure, a direct method that solves a variational principle noted in an earlier paper, which, for rectangular fields, turns out to reduce the relevant execution time by a factor from 100 to 1000 with respect to the fastest methods currently used, so that for grid numbers N = 400 the required CPU time on a good workstation can be kept within the order of 1 second. The acquired speed also opens the way to some long-term projects based on simulated…
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.
Taxonomy
TopicsAstrophysical Phenomena and Observations · Adaptive optics and wavefront sensing · Pulsars and Gravitational Waves Research
