How selection and weighting of astrometric observations influence the impact probability. Asteroid (99942) Apophis case
Malgorzata Krolikowska, Grzegorz Sitarski, Andrzej M. Soltan

TL;DR
This paper demonstrates that selecting and weighting astrometric data critically affects impact probability assessments for asteroid Apophis, emphasizing the importance of data handling in impact risk analysis through extensive numerical simulations.
Contribution
It introduces a comprehensive analysis of how data selection and weighting influence impact probability calculations for Apophis using Monte Carlo simulations.
Findings
Best encounter distance with Earth in 2029 is 6.065 ± 0.081 R_Earth.
Identified keyholes for potential impacts in 2036, 2037, and 2076.
Nominal orbit lies between impact keyhole groups.
Abstract
The aim is to show that in case of low probability of asteroid collision with Earth, the appropriate selection and weighing of the data are crucial for the impact investigation, and to analyze the impact possibilities using extensive numerical simulations. By means of the Monte Carlo special method a large number of ``clone'' orbits have been generated. A full range of orbital elements in the 6-dimensional parameter space, e.g. in the entire confidence region allowed by the observational material has been examined. On the basis of 1000 astrometric observations of (99942) Apophis, the best solution for the geocentric encounter distance of 6.065\pm 0.081 R_{Earth} were derived for the close encounter with the Earth on April 13, 2029. The present uncertainties allow for the special configurations (``keyholes'') during these encounter which may lead to the very close encounters in the…
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