NEURAL-NETWORK UNFOLDING OF PHOTON AND NEUTRON-SPECTRA USING AN NE-213 SCINTILLATION DETECTOR

被引：18

作者：

KOOHIFAYEGH, R

GREEN, S

CROUT, NMJ

TAYLOR, GC

SCOTT, MC

机构：

[1] UNIV BIRMINGHAM,SCH PHYS & SPACE RES,MED PHYS GRP,BIRMINGHAM B15 2TT,W MIDLANDS,ENGLAND

[2] FERDOWSI UNIV MASHHAD,FAC SCI,DEPT PHYS,MASHHAD,IRAN

[3] QUEEN ELIZABETH MED CTR,DEPT MED PHYS & BIOMED ENGN,BIRMINGHAM B15 2TH,W MIDLANDS,ENGLAND

[4] UNIV NOTTINGTON,DEPT PHYSIOL & ENVIRONM SCI,SUTTON LE12 5RD,ENGLAND

[5] DRSA,NATL PHYS LAB,TEDDINGTON TW11 0LW,MIDDX,ENGLAND

来源：

NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT | 1993年 / 329卷 / 1-2期

关键词：

D O I：

10.1016/0168-9002(93)90946-F

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

A neural network unfolding technique has been used to unfold the gamma ray and neutron response of an NE-213 detector, and the results are compared with those obtained using the established matrix unfolding code FERDOR. It is shown that the neural network solution has the potential advantages of speed, flexibility and computational simplicity. The simple code which has been used to generate gamma ray response functions is also described.

引用

页码：269 / 276

页数：8

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