Possibilistic clustering approach to trackless ring Pattern Recognition in RICH counters

被引：2
|
作者：
Massone, AM
Studer, L
Masulli, F
机构：
[1] Univ Pisa, Dipartimento Informat, I-56127 Pisa, Italy
[2] CNR, INFM, LAMIA, I-16146 Genoa, Italy
[3] Univ Lausanne, IPHE, CH-1015 Lausanne, Switzerland
来源：
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING | 2006年 / 41卷 / 02期
关键词：
RICH counters; pattern recognition; possibilistic clustering;
D O I：
10.1016/j.ijar.2005.06.012
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The pattern recognition problem in Ring Imaging CHerenkov (RICH) Counters concerns the identification of art unknown number of rings whose centers and radii are assumed to be unknown. In this paper we present art algorithm based oil the possibilistic approach to Clustering that automatically finds both the number of rings and their position without any a priori knowledge. The algorithm has been tested oil realistic Monte Carlo LHCb simulated events and it has been shown very powerful in detecting complex images full of rings. The tracking-independent algorithm Could be usefully employed after a track based approach to identify remaining trackless rings. (C) 2005 Elsevier Inc. All rights reserved.
引用
收藏
页码：96 / 109
页数：14
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