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    Analyzing meteoroid flights using particle filters

    250092.pdf (1.108Mb)
    Access Status
    Open access
    Authors
    Sansom, E.
    Rutten, M.
    Bland, Phil
    Date
    2017
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Sansom, E. and Rutten, M. and Bland, P. 2017. Analyzing meteoroid flights using particle filters. Astronomical Journal. 153 (2).
    Source Title
    Astronomical Journal
    DOI
    10.3847/1538-3881/153/2/87
    ISSN
    0004-6256
    School
    Department of Applied Geology
    Remarks

    © 2017. The American Astronomical Society. Reproduced with permission.

    URI
    http://hdl.handle.net/20.500.11937/50524
    Collection
    • Curtin Research Publications
    Abstract

    Fireball observations from camera networks provide position and time information along the trajectory of a meteoroid that is transiting our atmosphere. The complete dynamical state of the meteoroid at each measured time can be estimated using Bayesian filtering techniques. A particle filter is a novel approach to modeling the uncertainty in meteoroid trajectories and incorporates errors in initial parameters, the dynamical model used, and observed position measurements. Unlike other stochastic approaches, a particle filter does not require predefined values for initial conditions or unobservable trajectory parameters. The Bunburra Rockhole fireball, observed by the Australian Desert Fireball Network (DFN) in 2007, is used to determine the effectiveness of a particle filter for use in fireball trajectory modeling. The final mass is determined to be 2.16 ± 1.33 kg with a final velocity of 6030 ± 216 ms-1, similar to previously calculated values. The full automatability of this approach will allow an unbiased evaluation of all events observed by the DFN and lead to a better understanding of the dynamical state and size frequency distribution of asteroid and cometary debris in the inner solar system. © 2017. The American Astronomical Society. All rights reserved.

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