Fast and Flexible Inference Framework for Continuum Reverberation Mapping Using Simulation-based Inference with Deep Learning

Fast and Flexible Inference Framework for Continuum Reverberation Mapping Using Simulation-based Inference with Deep Learning

Continuum reverberation mapping (CRM) of active galactic nuclei (AGN) monitors multiwavelength variability signatures to constrain accretion disk structure and supermassive black hole (SMBH) properties. The upcoming Vera Rubin Observatory’s Legacy Survey of Space and Time will survey tens of million...

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Bibliographic Details
Main Authors: Jennifer I-Hsiu Li, Sean D. Johnson, Camille Avestruz, Sreevani Jarugula, Yue Shen, Elise Kesler, Zhuoqi (Will) Liu, Nishant Mishra
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:The Astrophysical Journal
Subjects:
Reverberation mapping
Neural networks
Supermassive black holes
Online Access:https://doi.org/10.3847/1538-4357/ad900d
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https://doi.org/10.3847/1538-4357/ad900d

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