works on
galaxy mergers 1gravitational waves 1massive black holes 1normalizing flows 1stellar bars 1

From the 1 of 4 linked papers with an AI index.

most citedDark Energy Survey Year 3 results: Simulation-based CDM inference from weak lensing and galaxy clustering maps with deep learning: Analysis design

2 citations · 2 across the 3 of their papers we have counts for

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astro-ph.GA2026

Emulating the complex galactic-scale orbital dynamics of LISA massive black hole pairs with normalizing flows

Pedro R. Capelo, Carlos Moreno Martinez, Nodens Koren +6

The paper introduces a machine‑learning emulator based on conditional normalizing flows to rapidly predict the orbital decay of massive black hole pairs in galaxy merger remnants,…