Abstract:

Based on the Monte Carlo simulation for ARGO-YBJ experiment, the characteristics of lateral distribution of the charged particles in Extensive Air Showers induced by primary cosmic ray particles with energy at the “knee” region were analyzed by using the multi-fractal and discrete wavelet methods under different length scales. Parameters, which can characterize the difference between different primary particles, were found. With these parameters as the inputs, an artificial neural network was created for multi-variant analysis, and the discrimination power was given.

Key words: multi-scale image analysis; knee region; discrimination of primary particles