A deep-learning search for technosignatures from 820 nearby stars

The goal of the search for extraterrestrial intelligence (SETI) is to quantify the prevalence of technological life beyond Earth via their ‘technosignatures’. One theorized technosignature is narrowband Doppler drifting radio signals. The principal challenge in conducting SETI in the radio domain is...

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Veröffentlicht in:	Nature astronomy Jg. 7; H. 4; S. 492 - 502
Hauptverfasser:	Ma, Peter Xiangyuan, Ng, Cherry, Rizk, Leandro, Croft, Steve, Siemion, Andrew P. V, Brzycki, Bryan, Czech, Daniel, Drew, Jamie, Gajjar, Vishal, Hoang, John, Isaacson, Howard, Lebofsky, Matt, MacMahon, David H. E, de Pater, Imke, Price, Danny C, Sheikh, Sofia Z, Worden, S. Pete
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group 01.04.2023
Schlagworte:	Astronomy Astrophysics Candidates Datasets Deep learning Initiatives Intelligence Machine learning Neural networks Stars Telescopes
ISSN:	2397-3366
Online-Zugang:	Volltext
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