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    Determining Fireball Fates Using the α-β Criterion

    90089.pdf (1.375Mb)
    Access Status
    Open access
    Authors
    Sansom, Eleanor
    Gritsevich, M.
    Devillepoix, Hadrien
    Jansen-Sturgeon, Trent
    Shober, Patrick
    Bland, Phil
    Towner, Martin
    Cupak, Martin
    Howie, Robert
    Hartig, Benjamin
    Date
    2019
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Sansom, E.K. and Gritsevich, M. and Devillepoix, H.A.R. and Jansen-Sturgeon, T. and Shober, P. and Bland, P.A. and Towner, M.C. et al. 2019. Determining Fireball Fates Using the α-β Criterion. Astrophysical Journal. 885 (2): ARTN 115.
    Source Title
    Astrophysical Journal
    DOI
    10.3847/1538-4357/ab4516
    ISSN
    0004-637X
    Faculty
    Faculty of Science and Engineering
    School
    School of Earth and Planetary Sciences (EPS)
    School of Elec Eng, Comp and Math Sci (EECMS)
    Funding and Sponsorship
    http://purl.org/au-research/grants/arc/DP170102529
    URI
    http://hdl.handle.net/20.500.11937/90264
    Collection
    • Curtin Research Publications
    Abstract

    As fireball networks grow, the number of events observed becomes unfeasible to manage by manual efforts. Reducing and analyzing big data requires automated data pipelines. Triangulation of a fireball trajectory can swiftly provide information on positions and, with timing information, velocities. However, extending this pipeline to determine the terminal mass estimate of a meteoroid is a complex next step. Established methods typically require assumptions to be made of the physical meteoroid characteristics (such as shape and bulk density). To determine which meteoroids may have survived entry there are empirical criteria that use a fireball's final height and velocity - low and slow final parameters are likely the best candidates. We review the more elegant approach of the dimensionless coefficient method. Two parameters, α (ballistic coefficient) and β (mass loss), can be calculated for any event with some degree of deceleration, given only velocity and height information. α and β can be used to analytically describe a trajectory with the advantage that they are not mere fitting coefficients; they also represent the physical meteoroid properties. This approach can be applied to any fireball network as an initial identification of key events and determine on which to concentrate resources for more in-depth analyses. We used a set of 278 events observed by the Desert Fireball Network to show how visualization in an α-β diagram can quickly identify which fireballs are likely meteorite candidates.

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