20 citations · 54 across the 9 of their papers we have counts for
9 papers
Improving the discovery of near-Earth objects with machine-learning methods
Peter Vereš, Richard Cloete, Matthew J. Payne +1
We present a comprehensive analysis of the digest2 parameters for candidates of the Near-Earth Object Confirmation Page (NEOCP) that were reported between 2019 and 2024. Our study…
Machine Learning Methods for Automated Interstellar Object Classification with LSST
Richard Cloete, Peter Vereš, Abraham Loeb
The Legacy Survey of Space and Time, to be conducted with the Vera C. Rubin Observatory, is poised to revolutionize our understanding of the Solar System by providing an unpreceden…
Commissioning An All-Sky Infrared Camera Array for Detection Of Airborne Objects
Laura Dominé, Ankit Biswas, Richard Cloete +13
To date there is little publicly available scientific data on Unidentified Aerial Phenomena (UAP) whose properties and kinematics purportedly reside outside the performance envelop…
Improvement of digest2 NEO Classification Code -- utilizing the Astrometry Data Exchange Standard
Peter Vereš, Richard Cloete, Robert Weryk +2
We describe enhancements to the digest2 software, a short-arc orbit classifier for heliocentric orbits. Digest2 is primarily used by the Near-Earth Object (NEO) community to flag n…
Discovery of Spherules of Likely Extrasolar Composition in the Pacific Ocean Site of the CNEOS 2014-01-08 (IM1) Bolide
Abraham Loeb, Toby Adamson, Sophie Bergstrom +31
We have conducted an extensive towed-magnetic-sled survey during the period 14-28 June, 2023, over the seafloor centered around the calculated path of the bolide CNEOS 2014-01-08 (…
The Scientific Investigation of Unidentified Aerial Phenomena (UAP) Using Multimodal Ground-Based Observatories
Wesley Andrés Watters, Abraham Loeb, Frank Laukien +35
(Abridged) Unidentified Aerial Phenomena (UAP) have resisted explanation and have received little formal scientific attention for 75 years. A primary objective of the Galileo Proje…