Data modeling of deep sky images

James Handley, Holger M. Jaenisch, Albert C. Lim, Graeme L. White, Alex Hons, Miroslav Filipovic, Matthew Edwards, Simon C. Craig, Martin J. Cullum

    Research output: Chapter in Book / Conference PaperConference Paper

    Abstract

    ![CDATA[We present a method for simulating CCD focal plane array (FPA) images of extended deep sky objects using Data Modeling. Data Modeling is a process of deriving functional equations from measured data. These tools are used to model FPA fixed pattern noise, shot noise, non-uniformity, and the extended objects themselves. The mathematical model of the extended object is useful for correlation analysis and other image understanding algorithms used in Virtual Observatory Data Mining. We apply these tools to the objects in the Messier list and build a classifier that achieves 100% correct classification.]]
    Original languageEnglish
    Title of host publicationModeling and Systems Engineering for Astronomy: Proceedings of the SPIE -The International Society for Optical Engineering. Vol. 5497
    PublisherSPIE--The International Society for Optical Engineering
    Number of pages12
    Publication statusPublished - 2004
    EventModeling and Systems Engineering for Astronomy -
    Duration: 1 Jan 2004 → …

    Conference

    ConferenceModeling and Systems Engineering for Astronomy
    Period1/01/04 → …

    Keywords

    • deep sky
    • data modeling
    • astronomy
    • image modeling
    • National Virtual Observatory (U.S.)
    • Messier classification

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