3 citations · 3 across the 3 of their papers we have counts for
3 papers
astro-ph.IM2025★ 3 cited
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…
astro-ph.EP2025
Reprocessing the NEAT Dataset: Preliminary Results
C. R. Nugent, J. M. Bauer, O. Benitez +16
We have created a new image analysis pipeline to reprocess images taken by the Near Earth Asteroid Tracking survey and have applied it to ten nights of observations. This work is t…
astro-ph.EP2024
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…