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Method of Segmention and Calibration for Crystal Position Spectrum Based on Tabu Search 基于禁忌搜索的晶体位置谱分割与校准方法




TekijätDeng Zhenzhou, Chen Guandong, Wang Ping, Feng Ziji, Han Chunlei

KustantajaChina Institute of Atomic Energy

Julkaisuvuosi2021

JournalYuanzineng Kexue Jishu/Atomic Energy Science and Technology

Tietokannassa oleva lehden nimiYuanzineng Kexue Jishu/Atomic Energy Science and Technology

Vuosikerta55

Numero8

Aloitussivu1485

Lopetussivu1493

ISSN1000-6931

DOIhttps://doi.org/10.7538/yzk.2020.youxian.0665


Tiivistelmä

To meet the requirement of crystal detectors of different specifications for segmenting and calibrating crystal strip response event position data, a position information segmentation calibration method combined with UDP data frame, two-dimensional Gaussian model and light guide refractive index was developed with tabu search algorithm as the core. When the overflow ratio is 5%, the peak-to-valley ratio of this method can reach 12.18, the spatial resolution is 1.7 mm, and the response position recognition rate of the crystal bar is as high as 99%. Therefore, the noise that causes false peaks is filtered out, and the problem of over-segmentation is avoided. With facing the position spectrum of crystal array of various specifications, the method can automatically calibrate the response number of the crystal strip area according to the array specification and output the crystal position look-up table, so as to realize the accurate calibration of the response event.



Last updated on 2024-26-11 at 17:12