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Electron/pion identification with ALICE TRD prototypes using a neural network algorithm
- Source :
- Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 552:364-371
- Publication Year :
- 2005
- Publisher :
- Elsevier BV, 2005.
-
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.
- Subjects :
- Physics
Nuclear and High Energy Physics
Particle physics
Artificial neural network
Physics::Instrumentation and Detectors
Nuclear Theory
Electron
Nuclear physics
Transition radiation detector
Identification (information)
Pion
High Energy Physics::Experiment
Nuclear Experiment
Alice (programming language)
Instrumentation
computer
computer.programming_language
Subjects
Details
- ISSN :
- 01689002
- Volume :
- 552
- Database :
- OpenAIRE
- Journal :
- Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
- Accession number :
- edsair.doi...........8e73eed9e7318c5869859e66a4e3d6ca