Latent Stochastic Differential Equations for Modeling Quasar Variability and Inferring Black Hole Properties

Latent Stochastic Differential Equations for Modeling Quasar Variability and Inferring Black Hole Properties

Quasars are bright and unobscured active galactic nuclei (AGN) thought to be powered by the accretion of matter around supermassive black holes at the centers of galaxies. The temporal variability of a quasar’s brightness contains valuable information about its physical properties. The UV/optical va...

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Bibliographic Details
Main Authors:	Joshua Fagin, Ji Won Park, Henry Best, James H. H. Chan, K. E. Saavik Ford, Matthew J. Graham, V. Ashley Villar, Shirley Ho, Matthew O’Dowd
Format:	Article
Language:	English
Published:	IOP Publishing 2024-01-01
Series:	The Astrophysical Journal
Subjects:	Quasars Active galactic nuclei Neural networks Time series analysis Irregular cadence
Online Access:	https://doi.org/10.3847/1538-4357/ad2988

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