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The SERENDIP III 70 cm Search for Extraterrestrial Intelligence

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arxiv 1607.00440 v1 pith:4VAZBH5O submitted 2016-07-02 astro-ph.IM astro-ph.EP

classification astro-ph.IMastro-ph.EP
keywords weredatapowersearchareciboextraterrestrialinterestingpeaks
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We employed the SERENDIP III system with the Arecibo radio telescope to search for possible artificial extraterrestrial signals. Over the four years of this search we covered 93% of the sky observable at Arecibo at least once and 44% of the sky five times or more with a sensitivity of ~3E-25 W/m2. The data were sent to a 4 million channel spectrum analyzer. Information was obtained from over 1E+14 independent data points and the results were then analyzed via a suite of pattern detection algorithms to identify narrow band spectral power peaks that were not readily identifiable as the product of human activity. We separately selected data coincident with interesting nearby G dwarf stars that were encountered by chance in our sky survey for suggestions of excess power peaks. The peak power distributions in both these data sets were consistent with random noise. We report upper limits on possible signals from the stars investigated and provide examples of the most interesting candidates identified in the sky survey. This paper was intended for publication in 2000 and is presented here without change from the version submitted to ApJS in 2000.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. SETI@home: Data Analysis and Findings

    astro-ph.IM 2025-06 conditional novelty 6.0 of 10

    The SETI@home team describes its second-stage analysis: RFI removal, multiplet finding and scoring, birdie-injected sensitivity estimates, and the selection of 92 candidates for FAST reobservation.

  2. SETI@home: Data Acquisition and Front-End Processing

    astro-ph.IM 2025-06 conditional novelty 4.0 of 10

    The SETI@home front end, its coherent search over 123,000 Doppler drift rates, and its five detection types are described with validated sensitivity figures.

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