The Breakthrough Listen Search for Extraterrestrial Intelligence
Vishal Gajjar, Andrew Siemion, Steve Croft, Bryan Brzycki, Marta, Burgay, Tobia Carozzi, Raimondo Concu, Daniel Czech, David DeBoer, Julia, DeMarines, Jamie Drew, J. Emilio Enriquez, James Fawcett, Peter Gallagher,, Michael Garrett, Nectaria Gizani, Greg Hellbourg, Jamie Holder

TL;DR
The Breakthrough Listen project is a large-scale, multi-year scientific effort utilizing advanced instrumentation and machine learning to search for extraterrestrial technosignatures across vast data sets, aiming to determine if intelligent life exists beyond Earth.
Contribution
It presents the current status and future plans of the most comprehensive search for extraterrestrial intelligence, including novel analysis techniques and collaborative efforts.
Findings
Deployment of machine learning tools for technosignature detection
Analysis of multi-petabyte data sets with new techniques
Ongoing and planned observational campaigns across multiple facilities
Abstract
The discovery of the ubiquity of habitable extrasolar planets, combined with revolutionary advances in instrumentation and observational capabilities, have ushered in a renaissance in the millenia-old quest to answer our most profound question about the Universe and our place within it - Are we alone? The Breakthrough Listen Initiative, announced in July 2015 as a 10-year 100M USD program, is the most comprehensive effort in history to quantify the distribution of advanced, technologically capable life in the universe. In this white paper, we outline the status of the on-going observing campaign with our primary observing facilities, as well as planned activities with these instruments over the next few years. We also list collaborative facilities which will conduct searches for technosignatures in either primary observing mode, or commensally. We highlight some of the novel analysis…
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Taxonomy
TopicsSpace Science and Extraterrestrial Life · Gamma-ray bursts and supernovae · History and Developments in Astronomy
