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A new air-shower core-detector array (YAC : Yangbajing Air-showerCore-detector array) has been developed to measure the primary cosmic-raycomposition at the "knee" energies in Tibet, China, focusing mainly on thelight components. The prototype experiment (YAC-I) consisting of 16 detectorshas been constructed and operated at Yangbajing (4300 m a.s.l.) in Tibet sinceMay 2009. YAC-I is installed in the Tibet-III AS array and operates together.In this paper, we performed a Monte Carlo simulation to check the sensitivityof YAC-I+Tibet-III array to the cosmic-ray light component of cosmic raysaround the knee energies, taking account of the observation conditions ofactual YAC-I+Tibet-III array. The selection of light component from others wasmade by use of an artificial neural network (ANN). The simulation shows thatthe light-component spectrum estimated by our methods can well reproduce theinput ones within 10\% error, and there will be about 30\% systematic errorsmostly induced by the primary and interaction models used. It is found that thefull-scale YAC and the Tibet-III array is powerful to study the cosmic-raycomposition, in particular, to obtain the energy spectra of protons and heliumnuclei around the knee energies.

Sensitivity of YAC to measure the light-component spectrum of primary cosmic rays at the "knee" energies