QR Code

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

We present a Bayesian graph neural network (BGNN) that can estimate the weak lensing convergence ( κ ) from photometric measurements of galaxies along a given line of sight (LOS). The method is of particular interest in strong gravitational time-delay cosmography (TDC), where characterizing the “ext...

Whakaahuatanga katoa

I tiakina i:
Ngā kaituhi matua: Ji Won Park, Simon Birrer, Madison Ueland, Miles Cranmer, Adriano Agnello, Sebastian Wagner-Carena, Philip J. Marshall, Aaron Roodman, the LSST Dark Energy Science Collaboration
Hōputu: Artigo
Reo:Inglês
I whakaputaina: IOP Publishing 2023-01-01
Rangatū:The Astrophysical Journal
Ngā marau:
Cosmology
Hubble constant
Hierarchical models
Bayesian statistics
Neural networks
Weak gravitational lensing
Urunga tuihono:https://doi.org/10.3847/1538-4357/acdc25
Ngā Tūtohu: Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

Ngā tūemi rite