Artificial Broadcasts as Galactic Populations: I. A Point Process Formalism for Extraterrestrial Intelligences and Their Broadcasts
Brian C. Lacki

TL;DR
This paper introduces a probabilistic formalism using point processes to model extraterrestrial civilizations and their broadcasts, accounting for galactic population variations, selection biases, and implications for SETI strategies.
Contribution
It develops a hierarchical, probabilistic framework for modeling ETI populations and broadcasts, incorporating selection effects and extending the Drake Equation for interstellar replication scenarios.
Findings
Population sampling can be biased toward longer-lived objects.
Detection probabilities depend on galaxy size and stellar mass.
The model suggests search strategies should focus on large galaxies.
Abstract
Artificial broadcasts from extraterrestrial intelligences (ETIs) are a hypothetical class of celestial phenomena. Unlike known astrophysical objects, the societies that generate them may be able to replicate on galactic scales through interstellar travel. Different galaxies could thus have drastically different populations, with abundance variations of many orders of magnitude. I present a probabilistic formalism to treat this shared history, in which societies and their broadcasts are described by distributions over basic properties like lifespan and energy released. The framework contains a hierarchy of objects related by a tree structure. Discrete societies, the sources of broadcasts, are organized into potentially interstellar "metasocieties." The population of each type of object is represented by a random point process in an abstract parameter hyperspace, a "haystack." When a…
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