From Images to Dark Matter: End-to-end Inference of Substructure from Hundreds of Strong Gravitational Lenses

From Images to Dark Matter: End-to-end Inference of Substructure from Hundreds of Strong Gravitational Lenses

Constraining the distribution of small-scale structure in our universe allows us to probe alternatives to the cold dark matter paradigm. Strong gravitational lensing offers a unique window into small dark matter halos (<10 ^10 M _⊙ ) because these halos impart a gravitational lensing signal even...

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Bibliographic Details
Main Authors: Sebastian Wagner-Carena, Jelle Aalbers, Simon Birrer, Ethan O. Nadler, Elise Darragh-Ford, Philip J. Marshall, Risa H. Wechsler
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:The Astrophysical Journal
Subjects:
Strong gravitational lensing
Cosmology
Dark matter
Convolutional neural networks
Hierarchical models
Dark matter distribution
Online Access:https://doi.org/10.3847/1538-4357/aca525

Internet

https://doi.org/10.3847/1538-4357/aca525

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