Hierarchical Inference of the Lensing Convergence from Photometric Catalogs with Bayesian Graph Neural Networks

Ji Won Park; Simon Birrer; Madison Ueland; Miles Cranmer; Adriano Agnello; Sebastian Wagner-carena; Philip J. Marshall; Aaron Roodman; LSST Dark Energy Science Collaboration

doi:10.3847/1538-4357/acdc25

Hierarchical Inference of the Lensing Convergence from Photometric Catalogs with Bayesian Graph Neural Networks

Ji Won Park, Simon Birrer, Madison Ueland, Miles Cranmer, Adriano Agnello, Sebastian Wagner-carena, Philip J. Marshall, Aaron Roodman, LSST Dark Energy Science Collaboration

DARK

Research output: Contribution to journal › Journal article › Research › peer-review

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Original language	English
Article number	178
Journal	Astrophysical Journal
Volume	953
Issue number	2
Number of pages	19
ISSN	0004-637X
DOIs	https://doi.org/10.3847/1538-4357/acdc25
Publication status	Published - 16 Aug 2023

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10.3847/1538-4357/acdc25Licence: CC BY

Park_2023_ApJ_953_178Final published version, 2.03 MBLicence: CC BY

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Hierarchical Inference of the Lensing Convergence from Photometric Catalogs with Bayesian Graph Neural Networks. / Park, Ji Won; Birrer, Simon; Ueland, Madison; Cranmer, Miles; Agnello, Adriano; Wagner-carena, Sebastian; Marshall, Philip J.; Roodman, Aaron; LSST Dark Energy Science Collaboration.

In: Astrophysical Journal, Vol. 953, No. 2, 178, 16.08.2023.

Research output: Contribution to journal › Journal article › Research › peer-review

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AU - Cranmer, Miles

AU - Agnello, Adriano

AU - Wagner-carena, Sebastian

AU - Marshall, Philip J.

AU - Roodman, Aaron

AU - LSST Dark Energy Science Collaboration

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