Classifying binary black holes from Population III stars with the Einstein Telescope: a machine-learning approach. Santoliquido, F., Dupletsa, U., Tissino, J., Branchesi, M., Iacovelli, F., Iorio, G., Mapelli, M., Gerosa, D., Harms, J., & Pasquato, M. arXiv, April, 2024. doi bibtex @article{2024arXiv240410048S,
adsnote = {Provided by the SAO/NASA Astrophysics Data System},
adsurl = {https://ui.adsabs.harvard.edu/abs/2024arXiv240410048S},
archiveprefix = {arXiv},
author = {{Santoliquido}, Filippo and {Dupletsa}, Ulyana and {Tissino}, Jacopo and {Branchesi}, Marica and {Iacovelli}, Francesco and {Iorio}, Giuliano and {Mapelli}, Michela and {Gerosa}, Davide and {Harms}, Jan and {Pasquato}, Mario},
doi = {10.48550/arXiv.2404.10048},
eid = {arXiv:2404.10048},
eprint = {2404.10048},
journal = {arXiv},
keywords = {Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Solar and Stellar Astrophysics},
month = apr,
pages = {arXiv:2404.10048},
primaryclass = {astro-ph.HE},
title = {{Classifying binary black holes from Population III stars with the Einstein Telescope: a machine-learning approach}},
year = 2024,
bdsk-url-1 = {https://doi.org/10.48550/arXiv.2404.10048}}
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