SETI & Technosignatures

Bayesian Approach to SETI

By Keith Cowing
Press Release
astro-ph.IM
October 2, 2018
Filed under
Bayesian Approach to SETI
Greenbank
NRAO

The search for technosignatures from hypothetical galactic civilizations is going through a new phase of intense activity. For the first time, a significant fraction of the vast search space is expected to be sampled in the foreseeable future, potentially bringing informative data about the abundance of detectable extraterrestrial civilizations, or the lack thereof.

Starting from the current state of ignorance about the galactic population of non-natural electromagnetic signals, we formulate a Bayesian statistical model to infer the mean number of radio signals crossing Earth, assuming either non-detection or the detection of signals in future surveys of the Galaxy. Under fairly noninformative priors, we find that not detecting signals within about 1 kly from Earth, while suggesting the lack of galactic emitters or at best the scarcity thereof, is nonetheless still consistent with a probability exceeding 10 % that typically over ∼ 100 signals could be crossing Earth, with radiated power analogous to that of the Arecibo radar, but coming from farther in the Milky Way.

The existence in the Galaxy of potentially detectable Arecibo-like emitters can be reasonably ruled out only if all-sky surveys detect no such signals up to a radius of about 40 kly, an endeavor requiring detector sensitivities thousands times higher than those of current telescopes.

Conversely, finding even one Arecibo-like signal within ∼ 1000 light years, a possibility within reach of current detectors, implies almost certainly that typically more than ∼ 100 signals of comparable radiated power cross the Earth, yet to be discovered.

Claudio Grimaldi, Geoffrey W. Marcy
(Submitted on 2 Oct 2018)

Comments: Published in PNAS ahead of print October 1, 2018. Preprint has 13 pages, 7 figures + 7 pages of Supplementary Information with 5 figures
Subjects: Instrumentation and Methods for Astrophysics (astro-ph.IM); Data Analysis, Statistics and Probability (physics.data-an)
DOI: 10.1073/pnas.1808578115
Cite as: arXiv:1810.01207 [astro-ph.IM] (or arXiv:1810.01207v1 [astro-ph.IM] for this version)
Submission history
From: Claudio Grimaldi
[v1] Tue, 2 Oct 2018 12:43:03 GMT (723kb,D)
https://arxiv.org/abs/1810.01207
Astrobiology

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