Setigen: Simulating Radio Technosignatures for SETI

TL;DR

Setigen is an open-source Python library designed to generate and inject synthetic radio signals into observational data, aiding the development and testing of SETI search algorithms amid the challenge of no positive detections.

Contribution

It introduces a physically-motivated, flexible framework for simulating radio technosignatures, compatible with real data and existing search pipelines.

Findings

Enables realistic simulation of radio technosignatures

Facilitates testing and validation of SETI algorithms

Supports integration with Breakthrough Listen data

Abstract

The goal of the search for extraterrestrial intelligence (SETI) is the detection of non-human technosignatures, such as technology-produced emission in radio observations. While many have speculated about the character of such technosignatures, radio SETI fundamentally involves searching for signals that not only have never been detected, but also have a vast range of potential morphologies. Given that we have not yet detected a radio SETI signal, we must make assumptions about their form to develop search algorithms. The lack of positive detections also makes it difficult to test these algorithms' inherent efficacy. To address these challenges, we present Setigen, a Python-based, open-source library for heuristic-based signal synthesis and injection for both spectrograms (dynamic spectra) and raw voltage data. Setigen facilitates the production of synthetic radio observations, interfaces with standard data products used extensively by the Breakthrough Listen project (BL), and focuses on providing a physically-motivated synthesis framework compatible with real observational data and associated search methods. We discuss the core routines of Setigen and present existing and future use cases in the development and evaluation of SETI search algorithms.