Shape, shear and flexion II - Quantifying the flexion formalism for extended sources with the ray-bundle method
Christopher J. Fluke (1), Paul D. Lasky (1, 2) ((1) Swinburne, University of Technology, (2) Eberhard Karls University of Tubingen)

TL;DR
This paper evaluates the ray-bundle method for quantifying second flexion in gravitational lensing, demonstrating its accuracy for extended sources and identifying zones where flexion analysis is reliable or should be used cautiously.
Contribution
It introduces a detailed analysis of the ray-bundle method for flexion measurement, including error bounds and zone boundaries, enhancing the understanding of flexion formalism for extended sources.
Findings
Second flexion can be recovered with less than 1% error for small bundle radii.
A preferred flexion zone exists where the formalism is most accurate.
Beyond the shear zone boundary, flexion signals may still be detectable.
Abstract
Flexion-based weak gravitational lensing analysis is proving to be a useful adjunct to traditional shear-based techniques. As flexion arises from gradients across an image, analytic and numerical techniques are required to investigate flexion predictions for extended image/source pairs. Using the Schwarzschild lens model, we demonstrate that the ray-bundle method for gravitational lensing can be used to accurately recover second flexion, and is consistent with recovery of zero first flexion. Using lens plane to source plane bundle propagation, we find that second flexion can be recovered with an error no worse than 1% for bundle radii smaller than {\Delta}{\theta} = 0.01 {\theta}_E and lens plane impact pararameters greater than {\theta}_E + {\Delta}{\theta}, where {\theta}_E is the angular Einstein radius. Using source plane to lens plane bundle propagation, we demonstrate the…
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.
