GraSP23 || GravityShapePisa 2023

Session

Machine Learning for Gravitational Waves

26 Oct 2023, 11:30

Aula Magna - Dipartimento di Fisica (Università di Pisa - Dipartimento di Fisica)

Conveners

Machine Learning for Gravitational Waves

• Maria Antonietta Palaia (University of Pisa)
• Michele Vacatello (University of Pisa)

48. Gravitational Wave Searches, Public Alerts, and Event Validation in the Fourth Observing Run of LIGO, Virgo and KAGRA

Francesco Di Renzo

26/10/2023, 11:30

Invited Speaker

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...

37. Neural network time-series classifiers for gravitational-wave searches in single-detector periods

Agata Trovato (Istituto Nazionale di Fisica Nucleare)

26/10/2023, 12:00

Invited Speaker

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...

78. Machine Learning for Transient signal analysis in Gravitational Wave data

Elena Cuoco (EGO & SNS)

26/10/2023, 12:30

Invited Speaker

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...