Conveners
Machine Learning for Gravitational Waves
- Maria Antonietta Palaia (University of Pisa)
- Michele Vacatello (University of Pisa)
The first three observational campaigns of the Advanced LIGO and Advanced Virgo gravitational-wave (GW) detectors have culminated in the confident identification of 90 signals arising from the mergers of compact binary systems composed of black holes and neutron stars. These events have offered a new testing ground for General Relativity and better insights into the nuclear equation of state...
The search for gravitational wave signals in the data collected by the current ground-based interferometers is a complex problem, especially when only one detector operates. Modern deep learning approaches could contribute to find a solution. I'll discuss the detection problem and present the work detailed in arXiv:2307.09268 where we investigate the performance of neural network classifiers...
The application of Machine and Deep learning techniques in astrophysics has gained significant attention also within the field of Gravitational Wave (GW) science, where numerous teams in the LIGO-Virgo collaboration have been exploring the potential of machine learning algorithms. These algorithms have been tested using both simulated and real data from LIGO and Virgo interferometers, focusing...
