Neural particle discrimination for triggering interesting physics channels with calorimetry data

被引：1
作者：
dos Anjos, A
Seixas, JM
机构：
[1] Univ Fed Rio de Janeiro, COPPE, EE, Signal Proc Lab, BR-21945 Rio De Janeiro, Brazil
[2] CERN, European Ctr Particle Phys, CH-1211 Geneva 23, Switzerland
来源：
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT | 2003年 / 502卷 / 2-3期
关键词：
neural networks; Online triggering system; calorimetry;
D O I：
10.1016/S0168-9002(03)00553-9
中图分类号：
TH7 [仪器、仪表];
学科分类号：
0804 ; 080401 ; 081102 ;
摘要：
This article introduces a triggering scheme for high input rate processors, based on neural networks. The technique is applied to the Electron/Jet discrimination problem, present at the second level trigger of the ATLAS experiment, being constructed at CERN. The proposed solution outperforms the scheme adopted nowadays at CERN, both in discrimination efficiency and performance, becoming a candidate algorithm for implementation at the experiment. (C) 2003 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：713 / 715
页数：3
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