61 citations · 63 across the 3 of their papers we have counts for
5 papers
Multimodal analysis of Gravitational Wave signals and Gamma-Ray Bursts from binary neutron star mergers
Elena Cuoco, Barbara Patricelli, Alberto Iess +1
A major boost in the understanding of the universe was given by the revelation of the first coalescence event of two neutron stars (GW170817) and the observation of the same event…
Neural networks reconstruction of the dense-matter equation of state from neutron-star parameters
Filip Morawski, Michał Bejger
Aims: The aim of this work is to study the application of the artificial neural networks guided by the autoencoder architecture as a method for precise reconstruction of the neutro…
Enhancing Gravitational-Wave Science with Machine Learning
Elena Cuoco, Jade Powell, Marco Cavaglià +23
Machine learning has emerged as a popular and powerful approach for solving problems in astrophysics. We review applications of machine learning techniques for the analysis of grou…
Core-Collapse Supernova Gravitational-Wave Search and Deep Learning Classification
Alberto Iess, Elena Cuoco, Filip Morawski +1
We describe a search and classification procedure for gravitational waves emitted by core-collapse supernova (CCSN) explosions, using a convolutional neural network (CNN) combined…
Convolutional neural network classifier for the output of the time-domain F-statistic all-sky search for continuous gravitational waves
Filip Morawski, Michał Bejger, Paweł Cieciel\{a}g
Among astrophysical sources in the Advanced LIGO and Advanced Virgo detectors' frequency band are rotating non-axisymmetric neutron stars emitting long-lasting, almost-monochromati…