Electron/Pion Identification with ALICE TRD Prototypes using a Neural Network Algorithm

ALICE TRD Collaboration

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Electron/Pion Identification with ALICE TRD Prototypes using a Neural Network Algorithm

ALICE TRD Collaboration

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Abstract

We study the electron/pion identification performance of the ALICE Transition Radiation Detector (TRD) prototypes using a neural network (NN) algorithm. Measurements were carried out for particle momenta from 2 to 6 GeV/c. An improvement in pion rejection by about a factor of 3 is obtained with NN compared to standard likelihood methods.

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ALICE TRD Collaboration. 2005-06-28. Electron/Pion Identification with ALICE TRD Prototypes using a Neural Network Algorithm. https://arxiv.org/abs/physics/0506202

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