APPLICATION OF A NEURAL-NETWORK AND A GENETIC ALGORITHM IN THE ANALYSIS OF MULTI PARTICLE FINAL-STATES

被引：2
|
作者：
DEGENER, TE
KUNZE, M
机构：
来源：
INTERNATIONAL JOURNAL OF MODERN PHYSICS C-PHYSICS AND COMPUTERS | 1995年 / 6卷 / 04期
关键词：
D O I：
10.1142/S0129183195000496
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The analysis of a particle physics experiment: requires the correct selection of the desired multiplicity of charged (pions or kaons) and neutral (photons) particles. Due to fluctuations in hadronic and electromagnetic showers often too many photons are reconstructed by the analysis software. The combination of a feed forward neural network and a generic algorithm is used to separate photons and fluctuations.
引用
收藏
页码：599 / 604
页数：6
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