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...

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Váldodahkkit:	Andreas Filipp, Yashar Hezaveh, Laurence Perreault-Levasseur
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	IOP Publishing 2025-01-01
Ráidu:	The Astrophysical Journal
Fáttát:	Strong gravitational lensing Dark matter Neural networks Gravitational lensing Galaxy dark matter halos
Liŋkkat:	https://doi.org/10.3847/1538-4357/adee20
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