A. Haungs et al., First results on characterization of Cherenkov images through combined useof Hillas, fractal and wavelet parameters, ASTROPART P, 12(3), 1999, pp. 145-156
Based on Monte Carlo simulations using the CORSIKA code, it is shown that C
herenkov images produced by ultrahigh energy gamma-rays and cosmic ray nucl
ei (proton, Neon and Iron) are fractal in nature. The resulting multifracta
l and wavelet moments when employed in association with the conventional Hi
llas parameters as inputs to a properly-trained artificial neural network a
re found to provide a more efficient primary characterization scheme than t
he one based on the use of Hillas or fractal parameters alone. (C) 1999 Els
evier Science B.V. All rights reserved.