Simulating the Stellar Bycatch: Constraining the Prevalence of Extraterrestrial Transmitters within Radio SETI Surveys
Louisa A. Mason, Michael A. Garrett, Andrew P. V. Siemion
TL;DR
This work addresses how to constrain extraterrestrial transmitter prevalence by accurately accounting for the full stellar population within radio SETI beams, not just Gaia-detected stars. It replaces Gaia-only bycatch estimates with Besançon Galactic Model simulations, applied to Breakthrough Listen's Enriquez/Price survey to produce a bycatch sample of $N_* = 6{,}182{,}364$ stars out to $d \le 25\,\mathrm{kpc}$. For $d \le 2.5\,\mathrm{kpc}$, they derive a stringent upper bound on high-duty-cycle transmitters of $f_{tx} \le (0.000995 \pm 0.000002)\%$ for $EIRP_{min} \gtrsim 5\times10^{16}$ W, illustrating the gain over Gaia-based approaches. A public web calculator enables other researchers to perform BGM-based bycatch and transmitter-prevalence analyses and extends the method to incoherent beamforming and interferometric SETI.
Abstract
Searches for radio technosignatures place constraints on the prevalence of extraterrestrial transmitters in our Galaxy and beyond. It is important to account for the complete stellar population captured within a radio telescope's field of view, or stellar 'bycatch'. In recent years, catalogues from ESA's Gaia mission have enabled SETI surveys to place tighter limits on extraterrestrial transmitter statistics. However, Gaia remains restricted by magnitude limits, astrometric uncertainty at large distances, and confusion in crowded regions. To address these limitations, we investigate the use of the Besançon Galactic Model to simulate the statistical underlying stellar population to derive more realistic constraints on the occurrence of extraterrestrial transmitters. We apply this method to Breakthrough Listen's Enriquez/Price survey, modelling 6,182,364 stellar objects within 1229 individual pointings and extending the search out to distances $\leq 25$kpc. We place limits on the prevalence of high duty cycle transmitters within 2.5kpc, suggesting $\leq (0.000995 \pm 0.000002)\%$ of stellar systems contain such a transmitter (for near-zero drift rates and EIRP$_{\mathrm{min}} \gtrsim 5 \times 10^{16}$W). In support of broader adoption, we provide a simple calculator tool that enables other researchers to incorporate this approach into their own SETI analyses. Our results enable a more complete statistical estimation of the number and stellar type of systems probed, thereby strengthening constraints on technosignature prevalence and guiding the analysis of future SETI efforts. We also conclude that SETI surveys are, in fact, much less biased by anthropocentric assumptions than is often suggested.
