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SUMMARY:HEP Colloquia 2025
DTSTART:20250514T123000Z
DTEND:20250514T133000Z
DTSTAMP:20260317T031000Z
UID:indico-event-47131@agenda.infn.it
CONTACT:hepcolloquia@ca.infn.it
DESCRIPTION:Speakers: Costantino Pacilio (Istituto Nazionale di Fisica Nuc
 leare)\n\nGravitational waveform modeling and parameter estimation with ma
 chine learning and deep learning\nGravitational-wave astronomy enables pre
 cision studies of compact binary systems and provides powerful tests of Ge
 neral Relativity. Black-hole spectroscopy— the detection of gravitationa
 l-wave emission spectra from black-hole ringdowns — offers a particularl
 y clean framework for testing gravity theories against well-defined predic
 tions. However\, accurate waveform modeling and efficient parameter estima
 tion are essential to extract both astrophysical and fundamental physics i
 nsights from the data. In this seminar\, with a focus on black hole ringdo
 wns\, I will present recent advances in gravitational waveform modeling an
 d inference\, highlighting the role of machine learning and deep learning 
 techniques. In particular\, I will discuss the promises and challenges of 
 using Gaussian Process Regression for waveform modeling and simulation-bas
 ed inference for parameter estimation.\n\nhttps://agenda.infn.it/event/471
 31/
LOCATION:Sala Consiliare (Department of Physics)
URL:https://agenda.infn.it/event/47131/
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