id: 05970498
dt: a
an: 05970498
au: AlSayyad, Yusra; Krughoff, K.Simon; Howe, Bill; Connolly, Andrew J.;
    Balazinska, Magdalena; Jones, Lynne
ti: Towards efficient and precise queries over ten million asteroid trajectory
    models.
so: Bayard Cushing, Judith (ed.) et al., Scientific and statistical database
    management. 23rd international conference, SSDBM 2011, Portland, OR,
    USA, July 20‒22, 2011. Proceedings. Berlin: Springer (ISBN
    978-3-642-22350-1/pbk). Lecture Notes in Computer Science 6809, 568-570
    (2011).
py: 2011
pu: Berlin: Springer
la: EN
cc: 
ut: 
ci: 
li: doi:10.1007/978-3-642-22351-8_40
ab: Summary: The new generation of telescopes under construction return to the
    same area of the sky with sufficient frequency to enable tracking of
    moving objects such as asteroids, near-earth objects, and comets [4,5].
    To detect these moving objects, one image may be subtracted from
    another (separated by several days or weeks) to differentiate variable
    and moving sources from the dense background of stars and galaxies.
    Moving sources may then be identified by querying against a database of
    expected positions of known asteroids. At a high-level, this task maps
    onto executing the query: “Return all known asteroids that are
    expected to be located within a given region at a given time.” We
    consider the problem of querying for asteroids in a specified interval
    in space and time, specifically as applied to populating the
    simulations of the data flow from the Large Synoptic Survey Telescope
    (LSST).
rv: