Identification of meteorite source regions in the Solar System

Over the past decade there has been a large increase in the number of automated camera networks that monitor the sky for fireballs. One of the goals of these networks is to provide the necessary information for linking meteorites to their pre-impact, heliocentric orbits and ultimately to their sourc...

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Main Authors: Granvik, Mikael, Brown, Peter
Format: Text
Language:unknown
Published: arXiv 2018
Subjects:
Online Access:https://dx.doi.org/10.48550/arxiv.1804.07229
https://arxiv.org/abs/1804.07229
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spelling ftdatacite:10.48550/arxiv.1804.07229 2023-05-15T18:30:05+02:00 Identification of meteorite source regions in the Solar System Granvik, Mikael Brown, Peter 2018 https://dx.doi.org/10.48550/arxiv.1804.07229 https://arxiv.org/abs/1804.07229 unknown arXiv https://dx.doi.org/10.1016/j.icarus.2018.04.012 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Earth and Planetary Astrophysics astro-ph.EP FOS Physical sciences article-journal Article ScholarlyArticle Text 2018 ftdatacite https://doi.org/10.48550/arxiv.1804.07229 https://doi.org/10.1016/j.icarus.2018.04.012 2022-04-01T09:47:56Z Over the past decade there has been a large increase in the number of automated camera networks that monitor the sky for fireballs. One of the goals of these networks is to provide the necessary information for linking meteorites to their pre-impact, heliocentric orbits and ultimately to their source regions in the solar system. We re-compute heliocentric orbits for the 25 meteorite falls published to date from original data sources. Using these orbits, we constrain their most likely escape routes from the main asteroid belt and the cometary region by utilizing a state-of-the-art orbit model of the near-Earth-object population, which includes a size-dependence in delivery efficiency. While we find that our general results for escape routes are comparable to previous work, the role of trajectory measurement uncertainty in escape-route identification is explored for the first time. Moreover, our improved size-dependent delivery model substantially changes likely escape routes for several meteorite falls, most notably Tagish Lake which seems unlikely to have originated in the outer main belt as previously suggested. We find that reducing the uncertainty of fireball velocity measurements below $\sim0.1$ km/s does not lead to reduced uncertainties in the identification of their escape routes from the asteroid belt and, further, their ultimate source regions. This analysis suggests that camera networks should be optimized for the largest possible number of meteorite recoveries with measured speed precisions of order 0.1 km/s. : 24 pages, 10 figures, accepted for publication in Icarus Text Tagish DataCite Metadata Store (German National Library of Science and Technology) Tagish ENVELOPE(-134.272,-134.272,60.313,60.313) Tagish Lake ENVELOPE(-134.233,-134.233,59.717,59.717)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
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topic Earth and Planetary Astrophysics astro-ph.EP
FOS Physical sciences
spellingShingle Earth and Planetary Astrophysics astro-ph.EP
FOS Physical sciences
Granvik, Mikael
Brown, Peter
Identification of meteorite source regions in the Solar System
topic_facet Earth and Planetary Astrophysics astro-ph.EP
FOS Physical sciences
description Over the past decade there has been a large increase in the number of automated camera networks that monitor the sky for fireballs. One of the goals of these networks is to provide the necessary information for linking meteorites to their pre-impact, heliocentric orbits and ultimately to their source regions in the solar system. We re-compute heliocentric orbits for the 25 meteorite falls published to date from original data sources. Using these orbits, we constrain their most likely escape routes from the main asteroid belt and the cometary region by utilizing a state-of-the-art orbit model of the near-Earth-object population, which includes a size-dependence in delivery efficiency. While we find that our general results for escape routes are comparable to previous work, the role of trajectory measurement uncertainty in escape-route identification is explored for the first time. Moreover, our improved size-dependent delivery model substantially changes likely escape routes for several meteorite falls, most notably Tagish Lake which seems unlikely to have originated in the outer main belt as previously suggested. We find that reducing the uncertainty of fireball velocity measurements below $\sim0.1$ km/s does not lead to reduced uncertainties in the identification of their escape routes from the asteroid belt and, further, their ultimate source regions. This analysis suggests that camera networks should be optimized for the largest possible number of meteorite recoveries with measured speed precisions of order 0.1 km/s. : 24 pages, 10 figures, accepted for publication in Icarus
format Text
author Granvik, Mikael
Brown, Peter
author_facet Granvik, Mikael
Brown, Peter
author_sort Granvik, Mikael
title Identification of meteorite source regions in the Solar System
title_short Identification of meteorite source regions in the Solar System
title_full Identification of meteorite source regions in the Solar System
title_fullStr Identification of meteorite source regions in the Solar System
title_full_unstemmed Identification of meteorite source regions in the Solar System
title_sort identification of meteorite source regions in the solar system
publisher arXiv
publishDate 2018
url https://dx.doi.org/10.48550/arxiv.1804.07229
https://arxiv.org/abs/1804.07229
long_lat ENVELOPE(-134.272,-134.272,60.313,60.313)
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geographic Tagish
Tagish Lake
geographic_facet Tagish
Tagish Lake
genre Tagish
genre_facet Tagish
op_relation https://dx.doi.org/10.1016/j.icarus.2018.04.012
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.48550/arxiv.1804.07229
https://doi.org/10.1016/j.icarus.2018.04.012
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