English

Caustics: A Python Package for Accelerated Strong Gravitational Lensing Simulations

Instrumentation and Methods for Astrophysics 2024-06-25 v1 Cosmology and Nongalactic Astrophysics

Abstract

Gravitational lensing is the deflection of light rays due to the gravity of intervening masses. This phenomenon is observed in a variety of scales and configurations, involving any non-uniform mass such as planets, stars, galaxies, clusters of galaxies, and even the large scale structure of the universe. Strong lensing occurs when the distortions are significant and multiple images of the background source are observed. The lens objects must align on the sky of order ~1 arcsecond for galaxy-galaxy lensing, or 10's of arcseonds for cluster-galaxy lensing. As the discovery of lens systems has grown to the low thousands, these systems have become pivotal for precision measurements and addressing critical questions in astrophysics. Notably, they facilitate the measurement of the Universe's expansion rate, dark matter, supernovae, quasars, and the first stars among other topics. With future surveys expected to discover hundreds of thousands of lensing systems, the modelling and simulation of such systems must occur at orders of magnitude larger scale then ever before. Here we present `caustics`, a Python package designed to handle the extensive computational demands of modeling such a vast number of lensing systems.

Keywords

Cite

@article{arxiv.2406.15542,
  title  = {Caustics: A Python Package for Accelerated Strong Gravitational Lensing Simulations},
  author = {Connor Stone and Alexandre Adam and Adam Coogan and M. J. Yantovski-Barth and Andreas Filipp and Landung Setiawan and Cordero Core and Ronan Legin and Charles Wilson and Gabriel Missael Barco and Yashar Hezaveh and Laurence Perreault-Levasseur},
  journal= {arXiv preprint arXiv:2406.15542},
  year   = {2024}
}

Comments

13 pages, 3 figures, submitted to JOSS

R2 v1 2026-06-28T17:15:25.914Z