CATS: a cellular automaton for tracking in silicon for the HERA-B vertex detector

被引：18

作者：

Abt, I

Emeliyanov, D

Kisel, I

Masciocchi, S

机构：

[1] Deutsch Elektronen Synchtrotron, D-22607 Hamburg, Germany

[2] Max Planck Inst Phys & Astrophys, D-80805 Munich, Germany

[3] Inst Control Sci, Moscow 117806, Russia

[4] Joint Inst Nucl Res, Dubna 141980, Moscow Region, Russia

来源：

NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT | 2002年 / 489卷 / 1-3期

关键词：

pattern recognition; track reconstruction; cellular automaton; Kalman filter; silicon microstrip detector; HERA-B;

D O I：

10.1016/S0168-9002(02)00790-8

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

The new track reconstruction program CATS developed for the Vertex Detector System of the HERA-B experiment at DESY is presented. It employs a cellular automaton for track searching and the Kalman filter for track fitting. This results in a very fast algorithm that combines highly efficient track recognition with accurate and reliable track parameter estimation. To reduce the computational cost of the fit an optimized numerical implementation of the Kalman filter is used. Alternative approaches to the track reconstruction in the VDS are also discussed. Since 1999, after extensive tests on simulated data, CATS has been employed to reconstruct experimental data collected in HERA-B. Results regarding tracking performance, the accuracy of track parameter estimates and CPU time consumption are presented. (C) 2002 Elsevier Science B.V. All rights reserved.

引用

页码：389 / 405

页数：17

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