Bayesian approach to SETI

Author:

Grimaldi Claudio,Marcy Geoffrey W.

Abstract

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 nonnatural electromagnetic signals, we formulate a Bayesian statistical model to infer the mean number of radio signals crossing Earth, assuming either nondetection 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.

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A geometric framework for interstellar discourse on fundamental physical structures;International Journal of Geometric Methods in Modern Physics;2024-05-07

2. Technosignatures Longevity and Lindy's Law;The Astronomical Journal;2024-02-20

3. Upper bounds on technoemission rates from 60 years of “silence”;Acta Astronautica;2023-11

4. Hybrid Quantum-Classical Convolutional Neural Network for Allen Telescope SETI image Classification;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

5. Inferring the Rate of Technosignatures from 60 yr of Nondetection;The Astronomical Journal;2023-04-13

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