HARDWARE REALIZATION OF A FAST NEURAL-NETWORK ALGORITHM FOR REAL-TIME TRACKING IN HEP EXPERIMENTS

被引：12

作者：

LEIMGRUBER, FR

PAVLOPOULOS, P

STEINACHER, M

TAUSCHER, L

VLACHOS, S

WENDLER, H

机构：

[1] UNIV BASEL,BASEL,SWITZERLAND

[2] CERN,CH-1211 GENEVA,SWITZERLAND

来源：

NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT | 1995年 / 365卷 / 01期

关键词：

D O I：

10.1016/0168-9002(95)00449-1

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

A fast pattern recognition system for HEP experiments, based on artificial neural network algorithms (ANN), has been realized with standard electronics. The multiplicity and location of tracks in an event are determined in less than 75 ns. Hardware modules of this first level trigger were extensively tested for performance and reliability with data from the CPLEAR experiment.

引用

页码：198 / 202

页数：5

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