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Monitoring near-Earth-object discoveries for imminent impactors
Department of Physics, University of Helsinki, Helsinki, Finland.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Space Technology. Department of Physics, University of Helsinki, Helsinki, Finland.ORCID iD: 0000-0002-5624-1888
2018 (English)In: Astronomy and Astrophysics, ISSN 0004-6361, E-ISSN 1432-0746, Vol. 616, article id A176Article in journal (Refereed) Published
Abstract [en]

Aims. We present an automated system called NEORANGER that regularly computes asteroid-Earth impact probabilities for objects on the Minor Planet Center’s (MPC) Near-Earth-Object Confirmation Page (NEOCP) and sends out alerts of imminent impactors to registered users. In addition to potential Earth-impacting objects, NEORANGER also monitors for other types of interesting objects such as Earth’s natural temporarily-captured satellites.

Methods. The system monitors the NEOCP for objects with new data and solves, for each object, the orbital inverse problem, which results in a sample of orbits that describes the, typically highly-nonlinear, orbital-element probability density function (PDF). The PDF is propagated forward in time for seven days and the impact probability is computed as the weighted fraction of the sample orbits that impact the Earth.

Results. The system correctly predicts the then-imminent impacts of 2008 TC3 and 2014 AA based on the first data sets available. Using the same code and configuration we find that the impact probabilities for objects typically on the NEOCP, based on eight weeks of continuous operations, are always less than one in ten million, whereas simulated and real Earth-impacting asteroids always have an impact probability greater than 10% based on the first two tracklets available.

Place, publisher, year, edition, pages
EDP Sciences, 2018. Vol. 616, article id A176
Keywords [en]
minor planets, asteroids: general, planets and satellites: detection, methods: statistical
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Onboard space systems
Identifiers
URN: urn:nbn:se:ltu:diva-71022DOI: 10.1051/0004-6361/201832747ISI: 000444018700001Scopus ID: 2-s2.0-85053532190OAI: oai:DiVA.org:ltu-71022DiVA, id: diva2:1251924
Note

Validerad;2018;Nivå 2;2018-09-28 (svasva)

Available from: 2018-09-28 Created: 2018-09-28 Last updated: 2021-03-18Bibliographically approved

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Granvik, Mikael

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