From the 1 of 3 linked papers with an AI index.
3 papers
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…
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…
On the Codesign of Scientific Experiments and Industrial Systems
Tommaso Dorigo, Pietro Vischia, Shahzaib Abbas +84
The optimization of large experiments in fundamental science, such as detectors for subnuclear physics at particle colliders, shares with the optimization of complex systems for in…