AResGW is a machine-learning-based pipeline designed for offline real-time gravitational wave (GW) detection, especially optimized for binary black hole (BBH) mergers in the 7–50 M☉ range (individual component masses) with non-aligned spins, using real LIGO data. Core...
GRANITE (GRAvitational-wave parameter iNference Integration Tool Environment) is a pipeline designed to perform rapid and reliable parameter estimation (PE) for gravitational-wave (GW) events, particularly in the context of low-latency multi-messenger astronomy. It...
GWsky is a tool designed to assist astronomers in planning the electromagnetic (EM) follow-up of gravitational-wave (GW) events. Developed in the context of multi-messenger astronomy, GWsky provides a flexible and efficient way to visualize GW sky-localization...
Cosmic-ray dataset of showers measured with Pierre Auger (10% of the full dataset).…
Python-based package to simulate neutrino signatures in detectors deployed in water or ice.…
