Development of Probability based data selection criteria for TeV astronomy.

Details Development of Probability based data selection criteria for TeV astronomy. Development of Probability based data selection criteria for TeV astronomy.

Oct 2004

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004aps..4cf.c2004f&link_type=abstract

American Physical Society, Four Corners Section Fall Meeting, 15-16 October, 2004, Albuquerque, NM. MEETING ID: 4CF04, abstract

Mathematics

Probability

Scientific paper

An Imaging Cerenkov Telescope detects GeV/TeV gamma rays by analyzing images of atmospheric Cerenkov light. The traditional analysis method calculates image parameters of the image light distribution in the focal point plane (such as image width, length, and orientation) and applies an accept/reject cut to select images that satisfy a narrow range of image parameters. In this talk I will describe an improved image selection method that is based upon the probability that the image was generated by a gamma ray. We describe the determination of the probability of being a gamma ray from each of the image parameters. We then compare efficiency of the traditional accept/reject method with the probability-based technique using an experimental data set taken by the Whipple Cerenkov Observatory on the Crab Nebula, a known GeV/TeV gamma emitter.

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