A Deep-learning Search For Technosignatures Of 820 Nearby Stars

Mannequin coaching and execution scheme. Backward propagation of the neural community coaching isn’t proven for brevity.

The objective of the Search for Extraterrestrial Intelligence (SETI) is to quantify the prevalence of technological life past Earth through their “technosignatures”. One theorized technosignature is narrowband Doppler drifting radio alerts.

The principal problem in conducting SETI within the radio area is growing a generalized approach to reject human radio frequency interference (RFI). Right here, we current essentially the most complete deep-learning primarily based technosignature search thus far, returning 8 promising ETI alerts of curiosity for re-observation as a part of the Breakthrough Pay attention initiative.

The search includes 820 distinctive targets noticed with the Robert C. Byrd Inexperienced Financial institution Telescope, totaling over 480, hr of on-sky knowledge. We implement a novel beta-Convolutional Variational Autoencoder to determine technosignature candidates in a semi-unsupervised method whereas maintaining the false optimistic price manageably low. This new method presents itself as a number one resolution in accelerating SETI and different transient analysis into the age of data-driven astronomy.

Peter Xiangyuan Ma, Cherry Ng, Leandro Rizk, Steve Croft, Andrew P. V. Siemion, Bryan Brzycki, Daniel Czech, Jamie Drew, Vishal Gajjar, John Hoang, Howard Isaacson, Matt Lebofsky, David MacMahon, Imke de Pater, Danny C. Value, Sofia Z. Sheikh, S. Pete Worden

Feedback: 10 pages of major paper adopted by 16 pages of strategies; 17 figures complete and seven tables; printed in Nature Astronomy
Topics: Instrumentation and Strategies for Astrophysics (astro-ph.IM); Machine Studying (cs.LG)
Cite as: arXiv:2301.12670 [astro-ph.IM] (or arXiv:2301.12670v1 [astro-ph.IM] for this model)
Associated DOI:
https://doi.org/10.1038/s41550-022-01872-z
Focus to study extra
Submission historical past
From: Xiangyuan Ma
[v1] Mon, 30 Jan 2023 05:34:42 UTC (21,826 KB)
https://arxiv.org/abs/2301.12670
Astrobiology, SETI


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The Obsessed Guy
Hi, I'm The Obsessed Guy and I am passionate about artificial intelligence. I have spent years studying and working in the field, and I am fascinated by the potential of machine learning, deep learning, and natural language processing. I love exploring how these technologies are being used to solve real-world problems and am always eager to learn more. In my spare time, you can find me tinkering with neural networks and reading about the latest AI research.

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