activity
20242026
most citedOn the Deepest Search for Galactic Center Pulsars and an Examination of an Intriguing Millisecond Pulsar Candidate

2 citations · 2 across the 4 of their papers we have counts for

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6 papers · 1 filter

astro-ph.IM2026

Breakthrough Listen's Automated Commensal Technosignature Survey with MeerKAT

Daniel J. Czech, David H. E. MacMahon, Ian Heywood +20

The search for extraterrestrial intelligence (SETI) is an ongoing effort to detect technosignatures, evidence of technologically capable life beyond Earth. Conducting a comprehensi…

astro-ph.IM2026

Searching for Extraterrestrial Intelligence with the SKA

Chenoa D. Tremblay, Alex Andersson, Joe Bright +19

The search for technosignatures (also known as the Search for Extraterrestrial Intelligence or SETI) depends critically on our ability to distinguish artificial signals from the ri…

astro-ph.IM2025

Breakthrough Listen Observations of 3I/ATLAS with the Green Bank Telescope at 1-12 GHz

Ben Jacobson-Bell, Steve Croft, Ellie White +3

3I/ATLAS, an interstellar object, made its closest approach to Earth on 2025 December 19. On 2025 December 18, the Breakthrough Listen program conducted a technosignature search to…

astro-ph.IM2025

A Novel Technosignature Search in the Breakthrough Listen Green Bank Telescope Archive

Caleb Painter, Steve Croft, Matthew Lebofsky +5

The Breakthrough Listen program is, to date, the most extensive search for technological life beyond Earth. As part of this goal, over the past nine years it has surveyed thousands…

astro-ph.IM2025

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches

Ben Jacobson-Bell, Steve Croft, Carmen Choza +7

The search for radio technosignatures is an anomaly detection problem: Candidate signals represent needles of interest in the proverbial haystack of radio-frequency interference (R…

astro-ph.IM2025

Using anomaly detection to search for technosignatures in Breakthrough Listen observations

Snir Pardo, Dovi Poznanski, Steve Croft +2

We implement a machine learning algorithm to search for extra-terrestrial technosignatures in radio observations of several hundred nearby stars, obtained with the Parkes and Green…