A GPU Code for Finding Microlensing Critical Curves and Caustics

Fuente: arXiv
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Auteur principal: Weisenbach, Luke
Format: Preprint
Publié: 2025
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author Weisenbach, Luke
author_facet Weisenbach, Luke
contents Advancements in analyses of caustic crossing events in gravitationally microlensed quasars and supernovae can benefit from numerical simulations which locate the caustics in conjunction with the creation of magnification maps. We present a GPU code which efficiently solves this problem; the code is available at https://github.com/weisluke/microlensing/. We discuss how the locations of the microcaustics can be used to determine the number of caustic crossings and the distances to caustics, both of which can be used to constrain the space of nuisance parameters such as source position and velocity within magnification maps.
format Preprint
id arxiv_https___arxiv_org_abs_2506_02121
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A GPU Code for Finding Microlensing Critical Curves and Caustics
Weisenbach, Luke
Astrophysics of Galaxies
Instrumentation and Methods for Astrophysics
Advancements in analyses of caustic crossing events in gravitationally microlensed quasars and supernovae can benefit from numerical simulations which locate the caustics in conjunction with the creation of magnification maps. We present a GPU code which efficiently solves this problem; the code is available at https://github.com/weisluke/microlensing/. We discuss how the locations of the microcaustics can be used to determine the number of caustic crossings and the distances to caustics, both of which can be used to constrain the space of nuisance parameters such as source position and velocity within magnification maps.
title A GPU Code for Finding Microlensing Critical Curves and Caustics
topic Astrophysics of Galaxies
Instrumentation and Methods for Astrophysics
url https://arxiv.org/abs/2506.02121