A NEURAL-NETWORK FOR POSITRON IDENTIFICATION BY TRANSITION RADIATION DETECTOR

被引：6

作者：

BELLOTTI, R

CASTELLANO, M

DEMARZO, C

PASQUARIELLO, G

SATALINO, G

SPINELLI, P

机构：

[1] INFN,SEZ BARI,VIA AMENDOLA 173,I-70126 BARI,ITALY

[2] UNIV BARI,DIPARTIMENTO FIS,I-70126 BARI,ITALY

[3] CNR,IST ELABORAZ SEGNALI & IMMAGINI,I-70126 BARI,ITALY

来源：

NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT | 1994年 / 350卷 / 03期

关键词：

D O I：

10.1016/0168-9002(94)91257-2

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

A neural network algorithm has been applied in order to distinguish positrons from protons by a transition radiation detector (TRD). New variables are introduced, that simultaneously take into account spatial and energy TRD information. This method is found to be better than the one based on classical analysis: the results improve the detector performance in particle identification for efficiency higher than 90%. The high accuracy achieved with this method is used to identify positrons versus protons with 3 x 10(-3) contamination, as required by TRAMP-SI cosmic ray space experiment on the NASA Balloon-Borne Magnet Facility.

引用

页码：556 / 560

页数：5

共 18 条

[1]

[Anonymous], 1987, LEARNING INTERNAL RE

[2] A HIGH REJECTION TRANSITION RADIATION DETECTOR PROTOTYPE TO DISTINGUISH POSITRONS FROM PROTONS IN A COSMIC-RAY SPACE LABORATORY [J].

BARBARITO, E ;

BELLOTTI, R ;

CAFAGNA, F ;

CALICCHIO, M ;

CASTELLANO, M ;

DECATALDO, G ;

DEMARZO, C ;

ERRIQUEZ, O ;

FAVUZZI, C ;

FUSCO, P ;

GIGLIETTO, N ;

LIUZZI, R ;

MARANGELLI, B ;

MONGELLI, M ;

PERCHIAZZI, M ;

RAINO, A ;

SACCHETTI, A ;

SPINELLI, P .

NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 1992, 313 (1-2) :295-302

[3] A COMPARISON BETWEEN A NEURAL-NETWORK AND THE LIKELIHOOD METHOD TO EVALUATE THE PERFORMANCE OF A TRANSITION RADIATION DETECTOR [J].

BELLOTTI, R ;

CASTELLANO, M ;

DEMARZO, C ;

GIGLIETTO, N ;

PASQUARIELLO, G ;

SPINELLI, P .

COMPUTER PHYSICS COMMUNICATIONS, 1993, 78 (1-2) :17-22

[4] A TRANSITION RADIATION DETECTOR FOR PARTICLE ASTROPHYSICS EXPERIMENTS USING LOW-POWER CONSUMPTION ELECTRONICS [J].

BELLOTTI, R ;

CAFAGNA, F ;

CALICCHIO, M ;

DECATALDO, G ;

DEMARZO, C ;

ERRIQUEZ, O ;

FAVUZZI, C ;

FUSCO, P ;

GIGLIETTO, N ;

MARANGELLI, B ;

RAINO, A ;

SPINELLI, P ;

STAGNO, V .

NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 1992, 323 (1-2) :71-77

[5]

BELLOTTI R, 1993, 23RD ICRC P CALG, V2, P635

[6]

FABJAN CW, 1981, NUCL INSTRUM METHODS, V181, P119

[7] ANALYSIS OF THE DIMENSIONALITY OF NEURAL NETWORKS FOR PATTERN-RECOGNITION [J].

FU, LM .

PATTERN RECOGNITION, 1990, 23 (10) :1131-1140

[8]

GOLDEN RL, 1987, ASTRON ASTROPHYS, V188, P145

[9]

GOLDEN RL, NRA92OSSA10

[10]

HECHTNIELSEN R, 1987, 1987 P IEEE INT C NE, P563

← 1 2 →