A MULTIDIMENSIONAL-ANALYSIS OF THE CHERENKOV IMAGES OF AIR SHOWERS INDUCED BY VERY-HIGH-ENERGY GAMMA-RAYS AND PROTONS

被引:18
作者
AHARONIAN, FA [1 ]
CHILINGARIAN, AA [1 ]
KONOPELKO, AK [1 ]
PLYASHESHNIKOV, AV [1 ]
机构
[1] ALTAI STATE UNIV,BARNAUL 656099,USSR
关键词
D O I
10.1016/0168-9002(91)90370-6
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
A multidimensional analysis based on Bayes decision rules and nonparametric multivariate density estimation is proposed for classification of the Cherenkov light images of air showers registered by an air Cherenkov detector (ACD) with the multichannel light receiver. The differences in the angular size of the image, its orientation and position in the focal plane of the ACD and spectral composition of the Cherenkov light are used in the analysis to distinguish the showers induced by primary gamma-rays from showers induced by background cosmic rays (CR). It is shown that the usage of several image parameters together with their correlations can lead to a reduction of the CR background rejection down to a few tenths of a percent while retaining about 50% of useful (gamma-ray-induced) events.
引用
收藏
页码:522 / 528
页数:7
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