Publications (5)
LSTM and CNN application for core-collapse supernova search in gravitational wave real data
Alberto Iess, Elena Cuoco, Filip Morawski +2
Core-collapse supernovae (CCSNe) are expected to emit gravitational wave signals that could be detected by current and future generation interferometers within the Milky…
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…
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…
Determining the core-collapse supernova explosion mechanism with current and future gravitational-wave observatories
Jade Powell, Alberto Iess, Miquel Llorens-Monteagudo +5
Gravitational waves are emitted from deep within a core-collapse supernova, which may enable us to determine the mechanism of the explosion from a gravitational-wave detection. Pre…