differential programming 1gravitational-wave detector design 1machine learning 1reinforcement learning 1site optimization 1
From the 1 of 2 linked papers with an AI index.
2 papers
astro-ph.IM2026
Co-design of ground-based gravitational wave detector networks
Daniel Lanchares, Lysiane Mornas, Luigi Toffolatti +1
The paper introduces IfoScout, a machine‑learning based framework that jointly optimizes the locations, orientations, and internal parameters of ground‑based gravitational‑wave int…
gr-qc2026
Assessment of normalizing flows for parameter estimation on time-frequency representations of gravitational-wave data
Daniel Lanchares, Osvaldo G. Freitas, Lysiane Mornas +4
The speed-up of parameter estimation is an active field of research in gravitational-wave data analysis. In this paper we present GP15, a deep-learning method that merges residual…