Predicting High-magnification Events in Microlensed Quasars in the Era of LSST Using Recurrent Neural Networks

Predicting High-magnification Events in Microlensed Quasars in the Era of LSST Using Recurrent Neural Networks

Upcoming wide-field surveys, such as the Rubin Observatory’s Legacy Survey of Space and Time (LSST), will monitor thousands of strongly lensed quasars over a 10 yr period. Many of these monitored quasars will undergo high-magnification events (HMEs) through microlensing, as the accretion disk crosse...

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Bibliographic Details
Main Authors: Joshua Fagin, Eric Paic, Favio Neira, Henry Best, Timo Anguita, Martin Millon, Matthew O’Dowd, Dominique Sluse, Georgios Vernardos
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:The Astrophysical Journal
Subjects:
Quasars
Active galactic nuclei
Quasar microlensing
Gravitational lensing
Neural networks
Time series analysis
Online Access:https://doi.org/10.3847/1538-4357/adaebb
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https://doi.org/10.3847/1538-4357/adaebb

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