Dozens of virtual impactor orbits eliminated by the EURONEAR VIMP DECam data mining project
O. Vaduvescu, L. Curelaru, M. Popescu, B. Danila, and D. Ciobanu

TL;DR
This study uses extensive data mining of large astronomical image archives with the VIMP software to recover and refine or eliminate the orbits of virtual impactor asteroids, significantly reducing the number of potentially hazardous objects.
Contribution
The paper introduces a fast, accurate algorithm within VIMP for mining large image archives to improve or eliminate virtual impactor asteroid orbits, enhancing orbital data quality.
Findings
Recovered 54 VIs from 183 images, eliminating about 4000 impact orbits.
Identified 212 VIs in candidate images, leading to orbit improvements or eliminations.
Discovered photometric data revealing rotation periods of some VIs.
Abstract
Massive data mining of image archives observed with large etendue facilities represents a great opportunity for orbital amelioration of poorly known virtual impactor asteroids (VIs). There are more than 1000 VIs known today; most of them have very short observed arcs and many are considered lost as they became extremely faint soon after discovery. We aim to improve the orbits of VIs and eliminate their status by data mining the existing image archives. Within the European Near Earth Asteroids Research (EURONEAR) project, we developed the Virtual Impactor search using Mega-Precovery (VIMP) software endowed with a very effective (fast and accurate) algorithm to predict apparitions of candidate pairs for subsequent guided human search. Considering a simple geometric model, the VIMP algorithm searches for any possible intersection in space and time between the positional uncertainty of any…
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