Challenges in Analyzing Data from the GLAST Large Area Telescope

Details Challenges in Analyzing Data from the GLAST Large Area Telescope Challenges in Analyzing Data from the GLAST Large Area Telescope

Aug 2004

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004head....8.3103c&link_type=abstract

American Astronomical Society, HEAD meeting #8, #31.03; Bulletin of the American Astronomical Society, Vol. 36, p.1201

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Scientific paper

The Large Area Telescope (LAT) aboard GLAST promises greater than an order of magnitude better sensitivity, a much larger field-of-view, significantly better angular resolution, and broader energy coverage than its predecessor in the gamma-ray band, EGRET. LAT data will still present many statistical challenges that are encountered usually only to a much lesser degree in analyses of other astronomical data. Because of the LAT's relatively broad point spread function, source confusion will be a significant concern, especially at lower energies; and the strong energy dependence of the PSF makes decoupling the spectral analysis of a source from the spatial part problematic. Furthermore, the PSF, effective area, and energy dispersion depend strongly on the direction with respect to the instrument axes. This, along with the LAT's large field-of-view ( ˜ 2 sr) and scanning mode of operation, means that the instrument response to any point on the sky can change significantly on time scales comparable to those expected for the intrinsic variability of many sources. Despite these difficulties, the analysis goals for the LAT are much the same as for other missions: source detection, identification, and characterization in the time, energy, and spatial domains. I will discuss some of the efforts being made to attain these goals, including maximum likelihood analysis, and somewhat less conventional methods such as Bayesian Blocks as well as wavelet analyses and other multi-scale techniques.

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