3.6k citations · 34.9k across the 80 of their papers we have counts for
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GWSkyNet II : a refined machine learning pipeline for real-time classification of public gravitational wave alerts
Man Leong Chan, Jess McIver, Ashish Mahabal +12
Electromagnetic follow-up observations of gravitational wave events offer critical insights and provide significant scientific gain from this new class of astrophysical transients.…
GWSkyNet-Multi: A Machine Learning Multi-Class Classifier for LIGO-Virgo Public Alerts
Thomas C. Abbott, Eitan Buffaz, Nicholas Vieira +4
Compact object mergers which produce both detectable gravitational waves and electromagnetic emission can provide valuable insights into the neutron star equation of state, the ten…
PyCBC Inference: A Python-based parameter estimation toolkit for compact binary coalescence signals
C. M. Biwer, Collin D. Capano, Soumi De +4
We introduce new modules in the open-source PyCBC gravitational- wave astronomy toolkit that implement Bayesian inference for compact-object binary mergers. We review the Bayesian…