RADIATION PROTECTION ›› 2022, Vol. 42 ›› Issue (4): 265-279.

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Progress in research of spectrum unfolding method on neutron spectrum measurement

HUANG Qianming, LIU Bin, LU Ting, WANG Bo, TANG Songqian, LV Huanwen, YING Dongchuan, ZAI Zian   

  1. Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Chengdu 610213
  • Received:2021-07-21 Online:2022-07-20 Published:2022-08-15

Abstract: Neutron spectrum unfolding technology is a necessary part of the neutron spectrum measurement system. In recent decades, a large number of studies have been carried out at home and abroad. This paper first introduces the conventional resolution process of neutron spectrum, including unfolding model, response function, unfolding spectrum error, etc.; And then introduces in detail the current research status of neutron spectrum measurement technology at home and abroad and the current research status of neutron spectrum unfolding algorithm, including the relatively mature least squares algorithm, maximum entropy algorithm, etc., as well as emerging neural networks algorithm, Genetic algorithms, etc., summarized the characteristics of different spectrum unfolding algorithms; And furtherly, introduced the spectrum unfolding programs developed according to different spectrum unfolding algorithms, and compared the advantages and disadvantages of different spectrum unfolding algorithms and programs. The SAND series programs which were developed based on the least squares algorithm and the MAXED program developed based on the maximum entropy algorithm are the most powerful and widely used programs for spectrum unfolding. Finally, the development context of the neutron spectrum unfolding method is sorted out, and the differences between domestic and foreign research are summarized. The development direction of the spectrum unfolding algorithm is proposed.

Key words: neutron spectrum measurement, neutrons spectrum unfolding, generalized least squares, maximum entropy, Monte Carlo methods, compressed sensing theory

CLC Number: 

  • TL8