• Login
    View Item 
    •   Home
    • Journals and Magazines
    • Meteoritics & Planetary Science
    • Meteoritics & Planetary Science, Volume 44 (2009)
    • Meteoritics & Planetary Science, Volume 44, Number 12 (2009)
    • View Item
    •   Home
    • Journals and Magazines
    • Meteoritics & Planetary Science
    • Meteoritics & Planetary Science, Volume 44 (2009)
    • Meteoritics & Planetary Science, Volume 44, Number 12 (2009)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UA Campus RepositoryCommunitiesTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournalThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournal

    My Account

    LoginRegister

    About

    AboutUA Faculty PublicationsUA DissertationsUA Master's ThesesUA Honors ThesesUA PressUA YearbooksUA CatalogsUA Libraries

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Asteroid orbital ranging using Markov-Chain Monte Carlo

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    15813-18166-1-PB.pdf
    Size:
    3.031Mb
    Format:
    PDF
    Download
    Author
    Oszkiewicz, D.
    Muinonen, K.
    Virtanen, J.
    Granvik, M.
    Issue Date
    2009-01-01
    Keywords
    A posteriori probability density
    asteroids
    orbits
    
    Metadata
    Show full item record
    Citation
    Oszkiewicz, D., Muinonen, K., Virtanen, J., & Granvik, M. (2009). Asteroid orbital ranging using Markov‐Chain Monte Carlo. Meteoritics & Planetary Science, 44(12), 1897-1904.
    Publisher
    The Meteoritical Society
    Journal
    Meteoritics & Planetary Science
    URI
    http://hdl.handle.net/10150/656653
    DOI
    10.1111/j.1945-5100.2009.tb01999.x
    Additional Links
    https://meteoritical.org/
    Abstract
    We present a novel Markov-Chain Monte-Carlo orbital ranging method (MCMC) for poorly observed single-apparition asteroids with two or more observations. We examine the Bayesian a posteriori probability density of the orbital elements using methods that map a volume of orbits in the orbital-element phase space. In particular, we use the MCMC method to sample the phase space in an unbiased way. We study the speed of convergence and also the efficiency of the new method for the initial orbit computation problem. We present the results of the MCMC ranging method applied to three objects from different dynamical groups. We conclude that the method is applicable to initial orbit computation for near-Earth, main-belt, and transneptunian objects.
    Type
    Article
    text
    Language
    en
    ISSN
    1945-5100
    ae974a485f413a2113503eed53cd6c53
    10.1111/j.1945-5100.2009.tb01999.x
    Scopus Count
    Collections
    Meteoritics & Planetary Science, Volume 44, Number 12 (2009)

    entitlement

     
    The University of Arizona Libraries | 1510 E. University Blvd. | Tucson, AZ 85721-0055
    Tel 520-621-6442 | repository@u.library.arizona.edu
    DSpace software copyright © 2002-2017  DuraSpace
    Quick Guide | Contact Us | Send Feedback
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.