Project Hephaistos - II. Dyson sphere candidates from Gaia DR3, 2MASS, and WISE
The search for extraterrestrial intelligence is currently being pursued using multiple techniques and in different wavelength bands. Dyson spheres, megastructures that could be constructed by advanced civilizations to harness the radiation energy of their host stars, represent a potential technosign...
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creator | Suazo, Matías Zackrisson, Erik Mahto, Priyatam K Lundell, Fabian Nettelblad, Carl Korn, Andreas J Wright, Jason T Majumdar, Suman |
description | The search for extraterrestrial intelligence is currently being pursued using multiple techniques and in different wavelength bands. Dyson spheres, megastructures that could be constructed by advanced civilizations to harness the radiation energy of their host stars, represent a potential technosignature, that in principle may be hiding in public data already collected as part of large astronomical surveys. In this study, we present a comprehensive search for partial Dyson spheres by analyzing optical and infrared observations from Gaia, 2MASS, and WISE. We develop a pipeline that employs multiple filters to identify potential candidates and reject interlopers in a sample of five million objects, which incorporates a convolutional neural network to help identify confusion in WISE data. Finally, the pipeline identifies 7 candidates deserving of further analysis. All of these objects are M-dwarfs, for which astrophysical phenomena cannot easily account for the observed infrared excess emission. |
doi_str_mv | 10.48550/arxiv.2405.02927 |
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Dyson sphere candidates from Gaia DR3, 2MASS, and WISE</atitle><jtitle>arXiv.org</jtitle><date>2024-05-05</date><risdate>2024</risdate><eissn>2331-8422</eissn><abstract>The search for extraterrestrial intelligence is currently being pursued using multiple techniques and in different wavelength bands. Dyson spheres, megastructures that could be constructed by advanced civilizations to harness the radiation energy of their host stars, represent a potential technosignature, that in principle may be hiding in public data already collected as part of large astronomical surveys. In this study, we present a comprehensive search for partial Dyson spheres by analyzing optical and infrared observations from Gaia, 2MASS, and WISE. We develop a pipeline that employs multiple filters to identify potential candidates and reject interlopers in a sample of five million objects, which incorporates a convolutional neural network to help identify confusion in WISE data. 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subjects | Artificial neural networks Celestial bodies Extraterrestrial intelligence Infrared analysis Infrared astronomy Physics - Solar and Stellar Astrophysics Sky surveys (astronomy) |
title | Project Hephaistos - II. Dyson sphere candidates from Gaia DR3, 2MASS, and WISE |
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