Application of a Kohonen network classifier in TeV ?-ray astronomy

Details Application of a Kohonen network classifier in TeV ?-ray astronomy Application of a Kohonen network classifier in TeV ?-ray astronomy

Dec 1998

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1998jphg...24.2279l&link_type=abstract

Journal of Physics G: Nuclear and Particle Physics, Volume 24, Issue 12, pp. 2279-2287 (1998).

Physics

1

Scientific paper

A Kohonen type unsupervised artificial neural network has been used to increase the sensitivity of the atmospheric Cherenkov imaging technique used in ground-based TeV 0954-3899/24/12/013/img2-ray astronomy. The network classifies Cherenkov events as 0954-3899/24/12/013/img2-induced or hadron-induced on the basis of their spatial frequency components. When used in conjunction with the established Supercuts classifier it increases the sensitivity of the technique by 0954-3899/24/12/013/img4.

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