| 光谱学与光谱分析 |
|
|
|
|
|
| Broadening Technique for Monte Carlo Simulated Element Characteristic X-Ray Spectrum |
| LI Zhe1, TUO Xian-guo2，3*, SHI Rui1 |
1. Provincial Key Laboratory of Applied Nuclear Techniques in Geosciences, Chengdu University of Technology, Chengdu 610059, China
2. Southwest University of Science and Technology，Mianyang 621010, China
3. State Key Laboratory of Geoharzard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China |
|
|
|
|
Abstract In the present study, a kind of broadening algorithm method for simulated spectrum was developed by using the detector response function (DRF), which can be used to reduce the differences between Monte Carlo simulated element characteristic X-ray spectrum and experimental spectrum. First of all, based on in-depth study on previous works of others, we established a kind of detector response function model with strong generality for Si-PIN semiconductor detector. Weighted nonlinear least-square method is used to fit the X-ray spectrum of standard single element，and parameters can be obtained simultaneously. Then these parameters are normalized to get the normalized response function R(E, E′), which will be used to broaden the simulated flux spectrum. Secondly, R(E, E′) is used to broaden and transform the simulated flux spectrum. Then pulse height spectrum (PHS) is obtained to match experiment spectrum. This procedure can obtain the X-ray spectrum conveniently only by using MCNP simulation; moreover, simulated spectrum and experimental spectrum have high consistency. Finally, the simulated spectrum was achieved to match the experimental spectrum. Ten elements (Ti, V, Cr, Mn, Fe, Ni, Cu, Zn, As and Sn) K doublet X-ray full energy peak was fitted by the proposed DRF model, and reduced chi-square values for each were in the range of 1.04～1.18. The simulated flux spectrum of a copper alloy sample containing six kinds of elements was transformed and matched the experimental spectrum really well, and the complex overlapped spectrum was resolved.
|
|
Received: 2013-05-16
Accepted: 2013-10-25
|
|
|
|
Corresponding Authors:
TUO Xian-guo
E-mail: tuoxg@swust.edu.cn
|
|
[1] Workshop Proceedings, PENELOPE 2011-a Code System for Monte Carlo Simulation of Electron and Photon Transport, 2012. http://www.oecd-nea.org/science/docs/2011/nsc-doc2011-5.pdf.
[2] Pelowitz D B, Durkee J W, Elson J S, et al. MCNPX 2.7.E Extensions, 2011. http://mcnpx.lanl.gov/opendocs/versions/v27e/v27e.pdf.
[3] Geant4 Collaboration. Geant4 User’s Guide for Application Developers. 30<sup>th</sup> November, 2012.
[4] Trojek T, Cechak T. Nuclear Instruments and Methods in Physics Research B, 2007, 263(1): 72.
[5] Li Fusheng, Robin P Gardner. Applied Radiation and Isotopes, 2012, 70(7): 1243.
[6] Robin P Gardner, Xu Libai. Radiation Physics and Chemistry，2009, 78(10): 843.
[7] Robin P Gardner, Li Fusheng. X-Ray Spectrometry，2011, 40(6): 405.
[8] Campbell J L, Maxwell J A, Andrushenko S M, et al. Nuclear Instruments and Methods in Physics Research B，2011, 269(1): 57.
[9] Scholze F, Procop M. X-Ray Spectrometry，2009, 38(4): 312.
[10] Yacout A M, Gardner R P, Verghese K. Nuclear Instrument and Methods in Physics Research A, 1986, 243: 121.
[11] YANG Jia-min, DING Yao-nan, YI Rong-qing, et al (杨家敏, 丁耀南, 易荣清, 等). Acta Physica Sinica(物理学报), 2001, 50(9): 1723. |
| [1] |
WANG Lin, MA Xue-jie, MENG Dan-rui, LIU Rong*, XU Ke-xin. Simulation and Experiment Study on Three-Dimensional Coordinate Outlier Detetion Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(09): 2774-2779. |
| [2] |
CHENG Feng1, 2, GU Yi1, 2*, GE Liang-quan1, 2, ZHAO Jian-kun1, LI Meng-ting1, ZHANG Ning1 . The Research on Matrix Effect and Correction Technology of Rock Sample in In-Situ Energy Dispersive X-Ray Fluorescence Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(03): 919-923. |
| [3] |
DONG Yan-fei1, 2, LU Qi-peng1*, DING Hai-quan1, GAO Hong-zhi1 . Study on the Best Detector-Distance of Noninvasive Biochemical Examination by Monte Carlo Simulation[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(04): 942-946. |
| [4] |
GU Yi1, 2, 3, XIONG Sheng-qing1*, GE Liang-quan3, FAN Zheng-guo1, ZHANG Qing-xian3, ZHU Zhen-ya4 . Research on Spectral Characteristic of Miniature X-Ray Tube and Determination of Beryllium Window Thickness[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(01): 252-256. |
| [5] |
YANG Qiang, GE Liang-quan, GU Yi, HUA Yong-tao, LUO Yao-yao . Theoretical Calculation and Simulation Research on Micro X-Ray Tube Target Thickness and Spectra [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(04): 1130-1134. |
| [6] |
LI Zhe2, TUO Xian-guo1, 3*, YANG Jian-bo2, LIU Ming-zhe1, 2, CHENG Yi2, WANG Lei2，ZHOU Jian-bin2 . Methods of Detector Response Function Establishment in X-Ray Fluorescence Spectra Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2012, 32(11): 3112-3116. |
| [7] |
ZHOU Guan-hua1,2, TIAN Guo-liang3, CHEN Jun4, LI Jing5, GONG A-du5* . Research of Coupling Effects among Various Water Quality Components [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2010, 30(02): 470-475. |
| [8] |
WANG Zhi-jun,DONG Li-fang,LI Pan-lai,SHANG Yong. Characteristic of Optical Emission Spectrum in Electron-Assisted Chemical Vapor Deposition of Diamond[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2008, 28(04): 763-765. |
| [9] |
WANG Zhi-jun,LI Pan-lai,SHANG Yong,HE Ya-feng,RAN Jun-xia. Effect of Substrate Temperature on Optical Emission Spectra in Electron-Assisted Chemical Vapor Deposition of Diamond[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(08): 1473-1475. |
| [10] |
DONG Li-fang1,YIN Yan1,DONG Jian-ming2 . Determination of Net Electric Field in Dielectric Barrier Discharge in N2 by Relative Spectrum Line Intensity [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2005, 25(10): 1727-1729. |
| [11] |
DONG Li-fang，YIN Yan. Determination of Mean Electron Energy in O2 Non-Equilibrium Plasma by Relative Spectrum Line Intensity [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2005, 25(09): 1534-1535. |
|
|
|
|
