Author

I. M. Hernandez

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Preprint Oct 2026

Flexible Proposal Distributions for Gravitational-Wave Population Inference with Gaussian Mixture Models

Population analyses of gravitational-wave (GW) sources use hierarchical Bayesian inference to constrain astrophysical models while accounting for selection effects. The likelihood is usually estimated by Monte Carlo integration over finite sets of event posterior samples and simulated injections. As catalogs grow, more...

Simon M. C. Yeung, I. M. Hernandez, J. Creighton · 0 citations

Preprint Sep 2026

Normalizing Flow Emulator for Gravitational Wave Detection Probability in the LIGO/Virgo/KAGRA O4 Observing Run

Efficient and accurate estimation of the detection probability of a gravitational wave event given its source parameters remains a challenging problem because it conventionally requires expensive Monte Carlo injection campaigns. We present a machine learning-based approach using Normalizing Flows (NFs) to estimate the...

Julius Gassert, I. M. Hernandez, Ariel J. Amsellem et al. · 0 citations