activity
20192022
most citedEnhancing Gravitational-Wave Science with Machine Learning

170 citations · 277 across the 7 of their papers we have counts for

collaborators

7 papers

astro-ph.HE2022★ 12 cited

Detecting dense-matter phase transition signatures in neutron star mass-radius measurements as data anomalies using normalising flows

Filip Morawski, Michał Bejger

Observations of neutron stars may be used to study aspects of extremely dense matter, specifically a possibility of phase transitions to exotic states, such as de-confined quarks.…

astro-ph.HE2021

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…

astro-ph.IM2021★ 31 cited

Anomaly Detection in Gravitational Waves data using Convolutional AutoEncoders

Filip Morawski, Michał Bejger, Elena Cuoco +1

As of this moment, fifty gravitational waves (GW) detections have been announced, thanks to the observational efforts of the LIGO-Virgo Collaboration, working with the Advanced LIG…

astro-ph.HE2020★ 61 cited

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…

astro-ph.HE2020★ 170 cited

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…

gr-qc2020★ 2 cited

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…

astro-ph.IM2019★ 1 cited

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…