Academic Journal
Future trajectories of the BepiColombo MPO and Mio spacecraft: a quantitative tool for magnetospheric region prediction.
| Title: | Future trajectories of the BepiColombo MPO and Mio spacecraft: a quantitative tool for magnetospheric region prediction. |
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| Authors: | Hollman, Daragh M.1 (AUTHOR) daragh.hollman@dias.ie, Jackman, Caitríona M.1 (AUTHOR), Domijan, Katarina2 (AUTHOR), Bowers, Charles F.3 (AUTHOR), Hadid, Lina Z.4 (AUTHOR), Heyner, Daniel5 (AUTHOR) |
| Source: | Earth, Planets & Space. 8/26/2026, Vol. 78 Issue 1, p1-10. 10p. |
| Subject Terms: | *Magnetosphere, *Space trajectories, *Plasma magnetism, *Planetary exploration, *Magnetospheric physics, *Solar wind |
| Abstract: | Mercury possesses one of the most dynamic magnetospheres in our solar system, with strong driving by the solar wind, and significant motion of the magnetospheric boundaries in response. The BepiColombo mission will provide the first dual-spacecraft view of this system. In order to maximise the scientific output from BepiColombo, we need quantitative predictions of which magnetospheric region each spacecraft will be sampling at any given time. This is important for the planning of spacecraft operations, where the coordination and collaboration of many instruments across two spacecraft is vitally important, not only for science, but also due to telemetry and power limitations. In this work, we outline a new method using MESSENGER observations to make quantified predictions, with uncertainties, of the probability of observing solar wind, magnetosheath, and magnetosphere for a given position in Mercury's magnetospheric environment. We apply this technique to five of the six completed BepiColombo Mercury flybys, and additionally forecast magnetospheric region sampling during a representative 10-hour interval of the nominal science mission. We aim to make this approach as accessible as possible, and include in a software repository simple worked examples to aid users in applying these predictions in their own research. [ABSTRACT FROM AUTHOR] |
| Database: | Academic Search Index |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://dx.doi.org/doi:10.1186/s40623-026-02515-7 Name: EDS - Springer Nature Journals (s7799221) Category: fullText Text: View record at Springer – Url: https://resolver.ebsco.com/c/fiv2js/result?sid=EBSCO:asx&genre=article&issn=13438832&ISBN=&volume=78&issue=1&date=20260826&spage=1&pages=1-10&title=Earth, Planets & Space&atitle=Future%20trajectories%20of%20the%20BepiColombo%20MPO%20and%20Mio%20spacecraft%3A%20a%20quantitative%20tool%20for%20magnetospheric%20region%20prediction.&aulast=Hollman%2C%20Daragh%20M.&id=DOI:10.1186/s40623-026-02515-7 Name: Full Text Finder (for New FTF UI) (ns324271) Category: fullText Text: Full Text Finder MouseOverText: Full Text Finder |
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| Header | DbId: asx DbLabel: Academic Search Index An: 196471124 RelevancyScore: 1452 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1452.42529296875 |
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| Items | – Name: Title Label: Title Group: Ti Data: Future trajectories of the BepiColombo MPO and Mio spacecraft: a quantitative tool for magnetospheric region prediction. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hollman%2C+Daragh+M%2E%22">Hollman, Daragh M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> daragh.hollman@dias.ie</i><br /><searchLink fieldCode="AR" term="%22Jackman%2C+Caitríona+M%2E%22">Jackman, Caitríona M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Domijan%2C+Katarina%22">Domijan, Katarina</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bowers%2C+Charles+F%2E%22">Bowers, Charles F.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hadid%2C+Lina+Z%2E%22">Hadid, Lina Z.</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Heyner%2C+Daniel%22">Heyner, Daniel</searchLink><relatesTo>5</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Earth%2C+Planets+%26+Space%22">Earth, Planets & Space</searchLink>. 8/26/2026, Vol. 78 Issue 1, p1-10. 10p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Magnetosphere%22">Magnetosphere</searchLink><br />*<searchLink fieldCode="DE" term="%22Space+trajectories%22">Space trajectories</searchLink><br />*<searchLink fieldCode="DE" term="%22Plasma+magnetism%22">Plasma magnetism</searchLink><br />*<searchLink fieldCode="DE" term="%22Planetary+exploration%22">Planetary exploration</searchLink><br />*<searchLink fieldCode="DE" term="%22Magnetospheric+physics%22">Magnetospheric physics</searchLink><br />*<searchLink fieldCode="DE" term="%22Solar+wind%22">Solar wind</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Mercury possesses one of the most dynamic magnetospheres in our solar system, with strong driving by the solar wind, and significant motion of the magnetospheric boundaries in response. The BepiColombo mission will provide the first dual-spacecraft view of this system. In order to maximise the scientific output from BepiColombo, we need quantitative predictions of which magnetospheric region each spacecraft will be sampling at any given time. This is important for the planning of spacecraft operations, where the coordination and collaboration of many instruments across two spacecraft is vitally important, not only for science, but also due to telemetry and power limitations. In this work, we outline a new method using MESSENGER observations to make quantified predictions, with uncertainties, of the probability of observing solar wind, magnetosheath, and magnetosphere for a given position in Mercury's magnetospheric environment. We apply this technique to five of the six completed BepiColombo Mercury flybys, and additionally forecast magnetospheric region sampling during a representative 10-hour interval of the nominal science mission. We aim to make this approach as accessible as possible, and include in a software repository simple worked examples to aid users in applying these predictions in their own research. [ABSTRACT FROM AUTHOR] |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s40623-026-02515-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 1 Subjects: – SubjectFull: Magnetosphere Type: general – SubjectFull: Space trajectories Type: general – SubjectFull: Plasma magnetism Type: general – SubjectFull: Planetary exploration Type: general – SubjectFull: Magnetospheric physics Type: general – SubjectFull: Solar wind Type: general Titles: – TitleFull: Future trajectories of the BepiColombo MPO and Mio spacecraft: a quantitative tool for magnetospheric region prediction. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hollman, Daragh M. – PersonEntity: Name: NameFull: Jackman, Caitríona M. – PersonEntity: Name: NameFull: Domijan, Katarina – PersonEntity: Name: NameFull: Bowers, Charles F. – PersonEntity: Name: NameFull: Hadid, Lina Z. – PersonEntity: Name: NameFull: Heyner, Daniel IsPartOfRelationships: – BibEntity: Dates: – D: 26 M: 08 Text: 8/26/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 13438832 Numbering: – Type: volume Value: 78 – Type: issue Value: 1 Titles: – TitleFull: Earth, Planets & Space Type: main |
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