Application of neural network for photon-hadron discrimination in a preshower detector in high-energy heavy-ion collisions

被引：11

作者：

Chattopadhyay, S ^{[1
]}

Ahammed, Z ^{[1
]}

Viyogi, YP ^{[1
]}

机构：

[1] Bhabha Atom Res Ctr, Ctr Variable Energy Cyclotron, Calcutta 700064, W Bengal, India

来源：

NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT | 1999年 / 421卷 / 03期

关键词：

D O I：

10.1016/S0168-9002(98)01213-3

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

Using a combination of a preshower detector and a charged particle veto, it is shown that the neural network method is able to provide satisfactory discrimination between photons and hadrons in the case of extremely high particle density produced in the forward region of heavy-ion collisions at the LHC energy. (C) 1999 Elsevier Science B.V. All rights reserved.

引用

页码：558 / 566

页数：9

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