Using Anomaly Detection to Search for Technosignatures in Breakthrough Listen Observations
We implement a machine learning algorithm to search for extraterrestrial technosignatures in radio observations of several hundred nearby stars, obtained with the Parkes and Green Bank Telescopes by the Breakthrough Listen collaboration. Advances in detection technology have led to an exponential gr...
Saved in:
| Main Authors: | Snir Pardo, Dovi Poznanski, Steve Croft, Andrew P. V. Siemion, Matthew Lebofsky |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2025-01-01
|
| Series: | The Astronomical Journal |
| Subjects: | |
| Online Access: | https://doi.org/10.3847/1538-3881/add52b |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches
by: Ben Jacobson-Bell, et al.
Published: (2025-01-01) -
COSMIC’s Large-scale Search for Technosignatures during the VLA Sky Survey: Survey Description and First Results
by: C. D. Tremblay, et al.
Published: (2025-01-01) -
Earth Detecting Earth: At What Distance Could Earth’s Constellation of Technosignatures Be Detected with Present-day Technology?
by: Sofia Z. Sheikh, et al.
Published: (2025-01-01) -
The Local Galactic Transient Survey Applied to an Optical Search for Directed Intelligence
by: Alex Thomas, et al.
Published: (2025-01-01) -
Potential Technosignature from Anomalously Low Deuterium/Hydrogen in Planetary Water Depleted by Nuclear Fusion Technology
by: David C. Catling, et al.
Published: (2025-01-01)