ITC Colloquium - Plamen Krastev (Harvard)


Thursday, February 24, 2022, 11:00am to 12:00pm


"AI for Gravitational Waves and Dense Matter"


The groundbreaking discoveries of gravitational waves from binary black-hole mergers and, more recently, coalescing neutron stars started a new era of Gravitational-Wave Astrophysics and revolutionized our understanding of the Cosmos. Deep learning algorithms, such as artificial neural networks, are already transforming many scientific and technological fields, and have also proven successful in gravitational-wave astrophysics for detection and parameter estimation of gravitational-wave signals from binary black holes. In this talk I will discuss a deep-learning approach to rapidly identify and characterize transient gravitational-wave signals from binary neutron-star mergers in both simulated and realistic gravitational-wave detector noise. I will also discuss the application of deep learning to the problem of extracting the most uncertain part of the equation of state of dense matter, the nuclear symmetry energy, directly from neutron-star observational data.

See also: Colloquium, 2021-22