Publications by authors named "Alessandra Buonanno"
Page 1 of 1
Synopsis of recent research by authors named "Alessandra Buonanno"
- Alessandra Buonanno's research primarily focuses on the intersection of deep learning and gravitational-wave astrophysics, employing neural networks for rapid and accurate inference in gravitational wave events, which significantly reduces analysis time from days to merely seconds.
- Her recent work explores innovative methods like neural importance sampling and neural posterior estimation that enhance parameter estimation accuracy and provide unbiased estimates of Bayesian evidence, further refining gravitational wave analysis techniques.
- Buonanno has also contributed to the field by developing robust theoretical models, such as effective-one-body waveform models that incorporate dynamic neutron-star tides, improving the understanding of gravitational wave signals from merging neutron-star binaries and black-hole systems.
