97 citations · 106 across the 9 of their papers we have counts for
6 papers · 1 filter
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…
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…
Strong Nongravitational Accelerations and the Potential for Misidentification of Near-Earth Objects
Aster G. Taylor, Darryl Z. Seligman, Matthew J. Holman +5
Nongravitational accelerations in the absence of observed activity have recently been identified on NEOs, opening the question of the prevalence of anisotropic mass-loss in the nea…
Debiasing astro-Photometric Observations with Corrections Using Statistics (DePhOCUS)
Tobias Hoffmann, Marco Micheli, Juan Luis Cano +5
Photometric measurements allow the determination of an asteroid's absolute magnitude, which often represents the sole means to infer its size. Photometric observations can be obtai…
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…
Statistical Analysis of Astrometric Errors for the Most Productive Asteroid Surveys
Peter Vereš, Davide Farnocchia, Steven R. Chesley +1
We performed a statistical analysis of the astrometric errors for the major asteroid surveys. We analyzed the astrometric residuals as a function of observation epoch, observed bri…