Caustics: A Python Package for Accelerated Strong Gravitational Lensing Simulations Article Swipe

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Connor Stone , Alexandre Adam , Adam Coogan , M. J. Yantovski-Barth , Andreas Filipp , Landung Setiawan , Cordero Core , Ronan Legin , Charles R. Wilson , Gabriel Missael Barco , Yashar Hezaveh , Laurence Perreault-Levasseur ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2406.15542

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.

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Python (programming language) Gravitational lens Gravitation Physics Strong gravitational lensing Weak gravitational lensing Computer science Computer graphics (images) Astronomy Programming language Galaxy Redshift

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Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2406.15542
PDF: https://arxiv.org/pdf/2406.15542
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DOI: https://doi.org/10.48550/arxiv.2406.15542

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Title: Caustics: A Python Package for Accelerated Strong Gravitational Lensing Simulations

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Language: en

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Publication year: 2024

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Publication date: 2024-06-21

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Authors: Connor Stone, Alexandre Adam, Adam Coogan, M. J. Yantovski-Barth, Andreas Filipp, Landung Setiawan, Cordero Core, Ronan Legin, Charles R. Wilson, Gabriel Missael Barco, Yashar Hezaveh, Laurence Perreault-Levasseur

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Landing page: https://arxiv.org/abs/2406.15542

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Concepts: Python (programming language), Gravitational lens, Gravitation, Physics, Strong gravitational lensing, Weak gravitational lensing, Computer science, Computer graphics (images), Astronomy, Programming language, Galaxy, Redshift

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abstract_inverted_index.astrophysics.	111
abstract_inverted_index.computational	175
abstract_inverted_index.galaxy-galaxy	77
abstract_inverted_index.cluster-galaxy	84
abstract_inverted_index.configurations,	25
cited_by_percentile_year
countries_distinct_count	0
institutions_distinct_count	12
citation_normalized_percentile