Identification of Multi-strange Baryons for Statistics of Singal Sample
Dongping Huang · Journal of Yangtze University · 2006
In order to solve the problem of low efficiency in two-step topological reconstruction of the multi-strange baryons it is planed to apply the artificial neural network to the identification of the bar- yons in one step with higher efficiency. A Monte Carlo study is carried out on the problem of deman- ding high statistics of the training sample by BP neural network in a high dimensional parameter space. The results support the application of the neural network to the identification of multi-strange baryons.