Identification of high energy gamma-ray sources and source populations in the era of deep all-sky coverage

Olaf Reimer, Diego F. Torres

    Research output: Contribution to journalArticleResearchpeer-review

    2 Citations (Scopus)

    Abstract

    A large fraction of the anticipated source detections by the Gamma-ray Large Area Space Telescope (GLAST-LAT) will initially be unidentified. We argue that traditional approaches to identify individuals and/or populations of gamma ray sources will encounter procedural limitations. Those limitations are discussed on the background of source identifications from EGRET observations. Generally, our ability to classify (faint) source populations in the anticipated GLAST dataset with the required degree of statistical confidence will be hampered by sheer source wealth. A new paradigm for achieving the classification of gamma ray source populations is discussed. © Springer Science+Business Media B.V. 2007.
    Original languageEnglish
    Pages (from-to)57-62
    JournalAstrophysics and Space Science
    Volume309
    Issue number1-4
    DOIs
    Publication statusPublished - 1 Jun 2007

    Keywords

    • Gamma rays
    • Methods: data analysis
    • Observations

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