Application of HEALpix Pixelization to Gamma-ray Data

Details Application of HEALpix Pixelization to Gamma-ray Data Application of HEALpix Pixelization to Gamma-ray Data

Jul 2007

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007aipc..921..532b&link_type=abstract

THE FIRST GLAST SYMPOSIUM. AIP Conference Proceedings, Volume 921, pp. 532-533 (2007).

Computer Science

Gamma-Ray, Image Processing

Scientific paper

The HEALpix scheme for tessellating the sky is a natural way to represent all-sky data that is naturally binned in sky coordinates. Gamma-ray data are collected and saved as individual photons, and usually analyzed as such. We present a summary data representation that is compact, saves energy information, and is consistent with the energy-dependent resolution. We take advantage of the equal-area, hierarchical characteristics of the HEALpix representation by relating pixel size to energy. The data set is a sparse list of variable-size pixels, arranged to group regions of the sky. Thus numerous low-energy photons share pixels, while rare high-energy photons often are represented by single pixels. Of course, time variation is lost. We will show how this is used for generating sky pictures, efficiently finding and localizing point sources, and even construction WMAP-like angular power spectra.

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