A NEURAL-NETWORK APPROACH FOR THE TPC SIGNAL-PROCESSING

被引:4
作者
CENNINI, P
CITTOLIN, S
REVOL, JP
RUBBIA, C
TIAN, WH
GIUDICE, DD
LI, X
MOTTO, S
PICCHI, P
BOCCACCIO, P
CAVANNA, F
PIANO MORTARI, G
VERDECCHIA, M
CLINE, D
OTWINOWSKI, S
WANG, GH
ZHOU, M
BETTINI, A
CASAGRANDE, F
CENTRO, S
DEVECCHI, C
PEPATO, A
PIETROPAOLO, F
VENTURA, S
BENETTI, P
CALLIGARICH, E
CESANA, A
DOLFINI, R
TOGNOTA, AG
BERZOLARI, AG
MAURI, F
MAZZONE, L
MONTANARI, C
NEGRINI, M
PIAZZOLI, A
RAPPOLDI, A
RASELLI, GL
SCANNICCHIO, D
TERRANI, M
VIGNOLI, C
PERIALE, L
SUZUKI, S
机构
[1] UNIV PAVIA, IST NAZL FIS NUCL, I-27100 PAVIA, ITALY
[2] CERN, CH-1211 GENEVA 23, SWITZERLAND
[3] IST NAZL FIS NUCL, LAB NAZL FRASCATI, I-00044 FRASCATI, ITALY
[4] IST NAZL FIS NUCL, LAB NAZL LEGNARO, I-35020 LEGNARO, ITALY
[5] UNIV AQUILA, DIPARTIMENTO FIS, I-67010 COPPITO, ITALY
[6] UNIV AQUILA, IST NAZL FIS NUCL, I-67010 COPPITO, ITALY
[7] UNIV CALIF LOS ANGELES, DEPT PHYS, LOS ANGELES, CA 90024 USA
[8] UNIV PADUA, DIPARTIMENTO FIS, PADUA, ITALY
[9] UNIV PADUA, IST NAZL FIS NUCL, PADUA, ITALY
[10] CNR, IST COSMOGEOFIS, I-10133 TURIN, ITALY
关键词
D O I
10.1016/0168-9002(94)01310-1
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
Artificial neural networks may in some cases be alternatives to programmed computing. Since they offer a new important approach to information processing, we have investigated if the accuracy offered by this technique is good enough to extract physical information from the signals coming from a liquid argon time projection chamber. The results obtained implementing a neural network algorithm on a sequential scalar computer have been compared to those of a standard best-fit procedure on the same machine. This new method appears to be suited for the analysis of the events occurring in a very large detector, as that foreseen for the ICARUS experiment.
引用
收藏
页码:507 / 513
页数:7
相关论文
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[11]  
1993, ICARUS 2 2ND GENERAT, V1
[12]  
1993, ICARUS 2 2ND GENERAT, V2