Robustness of Neural Ratio and Posterior Estimators to Distributional Shifts for Population-level Dark Matter Analysis in Strong Gravitational Lensing

We investigate the robustness of neural ratio estimators (NREs) and sequential neural posterior estimators (SNPEs) to distributional shifts in the context of measuring the abundance of dark matter subhalos using strong gravitational lensing data. While these data-driven inference frameworks can be a...

Full description

Bibliographic Details

Published in:	The Astrophysical Journal
Main Authors:	Andreas Filipp, Yashar Hezaveh, Laurence Perreault-Levasseur
Format:	Article
Language:	English
Published:	IOP Publishing 2025-01-01
Subjects:	Strong gravitational lensing Dark matter Neural networks Gravitational lensing Galaxy dark matter halos
Online Access:	https://doi.org/10.3847/1538-4357/adee20