Direct photon identification with artificial neural network in the photon spectrometer PHOS

Author:

Bogolyubsky M.Yu.,Kharlov Yu.V.,Sadovsky S.A.

Publisher

Elsevier BV

Subject

Instrumentation,Nuclear and High Energy Physics

Reference10 articles.

1. ALICE Collaboration, Technical Proposal, CERN/LHCC/95-71, Geneva, 1995.

2. ALICE Collaboration, Technical Design Report PHOS, CERN/LHCC 99-4, ALICE TDR 2, Geneva, 1999.

3. Pattern recognition in high energy physics with artificial neural networks — JETNET 2.0

4. C. Peterson, T. Rognvalson, L. Lonnblad, Preprint, LU-93-29, 1993; Preprint CERN-TH.7315/94, Geneva, 1994.

5. M.Yu. Bogolyubsky, Yu.V. Kharlov, S.A. Sadovsky, Int. Note ALICE/PHOS, Geneva, 2003, in press.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The ALICE experiment at the CERN LHC;Journal of Instrumentation;2008-08-14

2. ALICE: Physics Performance Report, Volume I;Journal of Physics G: Nuclear and Particle Physics;2004-10-20

3. Direct photon identification with artificial neural network in the photon spectrometer PHOS;Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment;2003-04

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