Published April 2004
| Version v1
Journal article
Separation of a single photon and products of the π0, η and K0s meson neutral decay channels using neural network
Creators
Description
The artificial neural network approach is used for separation of signals from a single photon and products of the π0, η and Ks0 meson neutral decay channels on the basis of the data from the CMS electromagnetic calorimeter alone. Rejection values for the three types of mesons as a function of single photon selection efficiencies are obtained for two pseudorapidity regions and initial Et of 20, 40, 60 and 100 GeV. (author)
Availability note (English)
Available online at the Web site for the Journal of High Energy Physics (ISSN 1029-8479) http://www.iop.org/Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of High Energy Physics
- Journal Volume
- 04
- Journal Issue
- 2004
- Journal Page Range
- p. vp
- ISSN
- 1126-6708
INIS
- Country of Publication
- Italy
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 35040608
- Subject category
- S72: PHYSICS OF ELEMENTARY PARTICLES AND FIELDS;
- Descriptors DEI
- CERN LHC; ELECTROMAGNETIC PARTICLE DECAY; ETA MESONS; GEV RANGE; KAONS NEUTRAL SHORT-LIVED; MULTIPARTICLE SPECTROMETERS; NEURAL NETWORKS; PARTICLE DISCRIMINATION; PARTICLE RAPIDITY; PHOTONS; PIONS NEUTRAL; TRANSVERSE ENERGY
- Descriptors DEC
- ACCELERATORS; BOSONS; CYCLIC ACCELERATORS; DECAY; ELEMENTARY PARTICLES; ENERGY; ENERGY RANGE; HADRONS; KAONS; KAONS NEUTRAL; KINETIC ENERGY; MASSLESS PARTICLES; MEASURING INSTRUMENTS; MESONS; PARTICLE DECAY; PARTICLE IDENTIFICATION; PARTICLE PROPERTIES; PIONS; PSEUDOSCALAR MESONS; SPECTROMETERS; STORAGE RINGS; STRANGE MESONS; STRANGE PARTICLES; SYNCHROTRONS