SETI@home: Data Analysis and Findings

Abstract SETI@home is a radio Search for Extraterrestrial Intelligence (SETI) project that looks for technosignatures in data recorded at the Arecibo Observatory. The data were collected over a period of 14 yr and cover almost the entire sky visible to the telescope. The first stage of data analysis found billions of detections : brief excesses of continuous or pulsed narrowband power. The second stage removed detections that were likely radio frequency interference (RFI), then identified and ranked signal candidates : groups of detections, possibly spread over the 14 yr, that plausibly originate from a single cosmic source. We manually examined the top-ranking signal candidates and selected a few hundred. In the third and final stage, we are reobserving the corresponding sky locations and frequency ranges using the Five-hundred-meter Aperture Spherical Telescope radio telescope. This paper covers SETI@home’s second stage of data analysis. We describe the algorithms used to remove RFI and to identify and rank signal candidates. To guide the development of these algorithms, we used artificial candidate birdies that model persistent ET signals with a range of power, bandwidth, and planetary motion parameters. This approach also allowed us to estimate the sensitivity of our detection system to these signals.

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Publication Details

Journal
The Astronomical Journal
Published
2025-07-24
DOI
https://doi.org/10.3847/1538-3881/ade5ab
Citations
3
Primary Topic
Space Science and Extraterrestrial Life
Type
article
Field-Weighted Citation Impact
3.46

Funders

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SETI@home: Data Analysis and Findings

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3 citations
The Astronomical Journal
Space Science and Extraterrestrial Life
3.46
article

SETI@home: Data Analysis and Findings

Eric Korpela, Dan Werthimer, B. Allen, Jeff Cobb, David P. Anderson
article en
3 citations

Abstract

Abstract SETI@home is a radio Search for Extraterrestrial Intelligence (SETI) project that looks for technosignatures in data recorded at the Arecibo Observatory. The data were collected over a period of 14 yr and cover almost the entire sky visible to the telescope. The first stage of data analysis found billions of detections : brief excesses of continuous or pulsed narrowband power. The second stage removed detections that were likely radio frequency interference (RFI), then identified and ranked signal candidates : groups of detections, possibly spread over the 14 yr, that plausibly originate from a single cosmic source. We manually examined the top-ranking signal candidates and selected a few hundred. In the third and final stage, we are reobserving the corresponding sky locations and frequency ranges using the Five-hundred-meter Aperture Spherical Telescope radio telescope. This paper covers SETI@home’s second stage of data analysis. We describe the algorithms used to remove RFI and to identify and rank signal candidates. To guide the development of these algorithms, we used artificial candidate birdies that model persistent ET signals with a range of power, bandwidth, and planetary motion parameters. This approach also allowed us to estimate the sensitivity of our detection system to these signals.

The Astronomical JournalVol. 170(2)
Max Planck Institute for Gravitational Physics (DE), University of California, Berkeley (US)
National Science Foundation, U.S. Department of Energy, Western Digital, Nvidia, Planetary Society, NetApp, Seagate Technology, Secretário de Ciência, Tecnologia e Ensino Superior, Governo do Estado de Parana, Office of Science
Openalex Percentile: Top 7%
Space Science and Extraterrestrial Life
3.46
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