Neural Network based Electron Identification in the ZEUS Calorimeter

Physics – High Energy Physics – High Energy Physics - Experiment

Scientific paper

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20 pages, latex, 16 figures appended as uuencoded file

Scientific paper

10.1016/0168-9002(95)00612-5

We present an electron identification algorithm based on a neural network approach applied to the ZEUS uranium calorimeter. The study is motivated by the need to select deep inelastic, neutral current, electron proton interactions characterized by the presence of a scattered electron in the final state. The performance of the algorithm is compared to an electron identification method based on a classical probabilistic approach. By means of a principle component analysis the improvement in the performance is traced back to the number of variables used in the neural network approach.

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