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Search for dynamical black hole captures with Gaussian mixture modelling
Leigh Smith, Shubhanshu Tiwari, Michael Ebersold +3
Gravitational waves (GWs) are expected to originate from black holes interacting dynamically in dense astrophysical environments. In such environments, given that the velocity and…
Leveraging cross-detector parameter consistency measures to enhance sensitivities of gravitational wave searches
Sayantan Ghosh, Leigh Smith, Jiyoon Sun +3
All-sky searches for generic short-duration astrophysical GW transients are often challenging because of noise transients. Developing novel signal-noise discriminators is crucial f…
The Science of the Einstein Telescope
Adrian Abac, Raul Abramo, Simone Albanesi +485
Einstein Telescope (ET) is the European project for a gravitational-wave (GW) observatory of third-generation. In this paper we present a comprehensive discussion of its science ob…
Applications of machine learning in gravitational wave research with current interferometric detectors
Elena Cuoco, Marco Cavaglià, Ik Siong Heng +2
This article provides an overview of the current state of machine learning in gravitational-wave research with interferometric detectors. Such applications are often still in their…
Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State
Qian Hu, Jessica Irwin, Qi Sun +4
Gravitational waves (GWs) from binary neutron stars (BNSs) offer valuable understanding of the nature of compact objects and hadronic matter, and the science potential will be grea…
Enhancing search pipelines for short gravitational wave transients with Gaussian mixture modelling
Leigh Smith, Sayantan Ghosh, Jiyoon Sun +3
We present an enhanced method for the application of Gaussian Mixture Modelling (GMM) to the coherent WaveBurst (cWB) algorithm in the search for short-duration gravitational wave…