Quantifying the Fermi paradox via passive SETI: a general framework
Matthew Civiletti
TL;DR
This work introduces a geometric, two-dimensional framework to quantify the Fermi paradox by linking the probability of detecting at least one extraterrestrial signal to the Drake equation. By modeling the Milky Way as a disk with civilizations at various distances and signal fronts expanding at light speed, the paper derives a per-source detection probability $P_i$, which in the small-$\delta/R$ limit is approximately $P_i \approx 0.6\,\delta/R$. Aggregating across $N$ civilizations via $\mathcal{P} = 1 - \prod_{i=1}^N (1 - P_i)$, and adopting a homogeneous $P_i = P$, the authors show how null SETI results constrain the Drake parameter space through $N = \mathscr{N} l$, yielding actionable bounds on $l$ for given $\mathcal{P}$ and $\mathscr{N}$. A toy example indicates that with $\mathscr{N} \approx 1$, achieving $\mathcal{P} \gtrsim 0.99$ requires $l \gtrsim 10^{2.8}$ years, illustrating how null results can inform the prevalence and longevity of EM-emitting civilizations. The paper also candidly discusses significant limitations (e.g., 2D geometry, attenuation effects, and emission intermittency) and outlines concrete paths for making the framework more realistic and constraining the $(\mathscr{N},l)$ space more tightly in future work.
Abstract
In this paper we consider the extent to which a lack of observations from SETI may be used to quantify the Fermi paradox. Building on previous research, we construct a geometrical model to compute the probability of at least one detection of an extraterrestrial electromagnetic (EM) signal of galactic origin, as a function of the number $N$ of communicative civilizations. We show how this is derivable from the probability of detecting a single signal; the latter is $\approx 0.6 δ/R$, where $δ$ is the distance between the initial and final EM signals and $R$ is the radius of the Milky Way, for $δ/R \ll 1$. We show how to combine this analysis with the Drake equation $N = \mathscr{N} δ/c$, where $c$ is the speed of light; this implies, applying a simplified toy model as an example, that the probability of detecting at least one signal is $>99 \%$ for $δ/ c \gtrsim 10^{2.8}$ years, given that $\mathscr{N} = 1$. Lastly, we list this toy model's significant limitations, and suggest ways to ameliorate them in more realistic future models.
