Exploring supernova gravitational waves with machine learning
Mitra A. Shukirgaliyev B. Abylkairov Y.S. Abdikamalov E.
1 April 2023Oxford University Press
Monthly Notices of the Royal Astronomical Society
2023#520Issue 22473 - 2483 pp.
Core-collapse supernovae (CCSNe) emit powerful gravitational waves (GWs). Since GWs emitted by a source contain information about the source, observing GWs from CCSNe may allow us to learn more about CCSNs. We study if it is possible to infer the iron core mass from the bounce and early ring-down GW signal. We generate GW signals for a range of stellar models using numerical simulations and apply machine learning to train and classify the signals. We consider an idealized favorable scenario. First, we use rapidly rotating models, which produce stronger GWs than slowly rotating models. Secondly, we limit ourselves to models with four different masses, which simplifies the selection process. We show that the classification accuracy does not exceed ∼ 70 per cent, signifying that even in this optimistic scenario, the information contained in the bounce, and early ring-down GW signal is not sufficient to precisely probe the iron core mass. This suggests that it may be necessary to incorporate additional information such as the GWs from later post-bounce evolution and neutrino observations to accurately measure the iron core mass.
gravitational waves , transients: supernovae
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Department of Physics, Nazarbayev University, 53 Kabanbay Batyr ave, Astana, 010000, Kazakhstan
The Inter-University Centre for Astronomy and Astrophysics (IUCAA), Post Bag 4, Ganeshkhind, Pune, 411007, India
School of Materials Science and Green Technologies, Kazakh-British Technical University, 59 Tole bi street, Almaty, 050000, Kazakhstan
Energetic Cosmos Laboratory, Nazarbayev University, 53 Kabanbay Batyr ave, Astana, 010000, Kazakhstan
Fesenkov Astrophysical Institute, 23 Observatory str, Almaty, 050020, Kazakhstan
Faculty of Physics and Technology, Al-Farabi Kazakh National University, 71 Al-Farabi ave, Almaty, 050020, Kazakhstan
Department of Mathematics, Nazarbayev University, 53 Kabanbay Batyr ave, Astana, 010000, Kazakhstan
Department of Physics
The Inter-University Centre for Astronomy and Astrophysics (IUCAA)
School of Materials Science and Green Technologies
Energetic Cosmos Laboratory
Fesenkov Astrophysical Institute
Faculty of Physics and Technology
Department of Mathematics
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