Classifying binary black holes from Population III stars with the Einstein Telescope: A machine-learning approach

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作者
Santoliquido, Filippo [1 ,2 ]
Dupletsa, Ulyana [1 ,2 ]
Tissino, Jacopo [1 ,2 ]
Branchesi, Marica [1 ,2 ]
Iacovelli, Francesco [3 ,4 ]
Iorio, Giuliano [5 ,6 ]
Mapelli, Michela [5 ,6 ,7 ]
Gerosa, Davide [8 ,9 ,10 ]
Harms, Jan [1 ,2 ]
Pasquato, Mario [5 ,6 ,11 ,12 ,13 ]
机构
[1] Gran Sasso Science Institute (GSSI), L'Aquila,67100, Italy
[2] INFN, Laboratori Nazionali Del Gran Sasso, Assergi,67100, Italy
[3] Département de Physique Théorique, Université de Genève, 24 quai Ernest Ansermet, Genève,1211, Switzerland
[4] Gravitational Wave Science Center (GWSC), Université de Genève, Genève,1211, Switzerland
[5] Dipartimento di Fisica e Astronomia g. Galilei, Università Degli Studi di Padova, Vicolo dell'Osservatorio 3, Padova,35122, Italy
[6] INFN, Sezione di Padova, Via Marzolo 8, Padova,35131, Italy
[7] Institut für Theoretische Astrophysik, ZAH, Universität Heidelberg, Albert-Ueberle-Str. 2, Heidelberg,69120, Germany
[8] Dipartimento di Fisica g. Occhialini, Università Degli Studi di Milano-Bicocca, piazza della Scienza 3, Milano,20126, Italy
[9] INFN, Sezione di Milano-Bicocca, piazza della Scienza 3, Milano,20126, Italy
[10] School of Physics and Astronomy, Institute for Gravitational Wave Astronomy, University of Birmingham, Birmingham,B15 2TT, United Kingdom
[11] Département de Physique, Université de Montréal, 1375 Avenue Thérèse-Lavoie-Roux, Montréal, Canada
[12] Mila - Quebec Artificial Intelligence Institute, 6666 Rue Saint-Urbain, Montréal, Canada
[13] Ciela - Montréal Institute for Astrophysical Data Analysis and Machine Learning, Montréal, Canada
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All Open Access; Green;
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