Linking Sky-plane Observations of Moving Objects
John Tonry

TL;DR
This paper introduces rapid orbit-fitting and linking algorithms for sky-plane observations, significantly enhancing the efficiency and accuracy of asteroid detection and tracking across multiple observation sites.
Contribution
The paper presents the PUMA and PUMALINK algorithms, which are faster and more accurate than existing methods for orbit fitting and detection linkage in asteroid surveys.
Findings
PUMA executes orbit fitting in about a millisecond, much faster than current methods.
PUMALINK achieves approximately 90% detection probability with less than 10% false alarms using two nights.
Detection and linkage improve with three or more nights of observations.
Abstract
The Asteroid Terrestrial-impact Last Alert System (ATLAS) observes the visible sky every night in search of dangerous asteroids. With four soon five) sites ATLAS is facing new challenges for scheduling observations and linking detections to identify moving asteroids. Flexibility in coping with diverse observation sites and times of detections that can be linked is critical, as is optimization of observing time for coverage versus depth. We present new algorithms to fit orbits rapidly to sky-plane observations, and to test and link sets of detections to find the ones which belong to moving objects. The PUMA algorithm for fitting orbits to angular positions on the sky executes in about a millisecond, orders of magnitude faster than the methods currently in use by the community, without sacrifice in accuracy. The PUMALINK algorithm to find linkages among sets of detections has…
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Taxonomy
TopicsAstro and Planetary Science · Isotope Analysis in Ecology · Distributed systems and fault tolerance
