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

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

2005-06-28

arxiv.org/abs/physics/0506202v1

Physics

Instrumentation and Detectors

13 pages, 9 Figures

Scientific paper

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.

Affiliated with

Also associated with

No associations

Rating

Electron/Pion Identification with ALICE TRD Prototypes using a Neural Network Algorithm does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Electron/Pion Identification with ALICE TRD Prototypes using a Neural Network Algorithm, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Electron/Pion Identification with ALICE TRD Prototypes using a Neural Network Algorithm will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-434662