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

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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.

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Authors and Affiliations

  1. W.W. Hansen Experimental Physics Laboratory & Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, CA, 94305-4085, USA

    Olaf Reimer

  2. Institució de Recerca i Estudis Avançats (ICREA) & Institut de Ciències de l’Espai (IEEC-CSIC), Facultat de Ciencies, Universitat Autònoma de Barcelona, Torre C5 Parell, 2a planta, 08193, Barcelona, Spain

    Diego F. Torres

Authors
  1. Olaf Reimer
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  2. Diego F. Torres
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Correspondence to Olaf Reimer.

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Reimer, O., Torres, D.F. Identification of high energy gamma-ray sources and source populations in the era of deep all-sky coverage. Astrophys Space Sci 309, 57–62 (2007). https://doi.org/10.1007/s10509-007-9469-9

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  • DOI: https://doi.org/10.1007/s10509-007-9469-9

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