|
|
|
|
|
|
The Development and Its Applications of a Software Fitting Micro-X-Ray Fluorescence Spectrum Focused by Poly-Capillary Optics |
SHUAI Qi-lin1, LIU Jun1, SHAO Jin-fa1, JIANG Qi-li1, LI Rong-wu2,3, PAN Qiu-li1,2,3, CHENG Lin1,3* |
1. Key Laboratory of Beam Technology of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
2. Department of Physics, Beijing Normal University, Beijing 100875, China
3. Beijing Radiation Center, Beijing 100875, China |
|
|
Abstract The fitting software QMXRS (Quantitative analysis of Micro-Energy Dispersive X-ray fluorescence spectra) which is used for fitting micro-energy X-ray fluorescence spectrum focused by poly-capillary optics is developed in our Lab with Python language. The signal de-noising of the wavelet transform, background subtraction, energy calibration and characteristic peak fitting of spectrum is carried out by QMXRS. The ploy-capillary X-ray optics used here can improve the intensity of X-ray and change the distributions of X-ray fluorescence spectra. The background prediction model of QMXRS can effectively retain peak information and improve the accuracy of data processing of energy spectra. On the other hand, the constraint of the full width at half maximum(FWHM) of the Gaussian peak is added to the conventional nonlinear least-squares fitting. The Micro-Energy dispersive X-ray fluorescence spectra of the NIST 610 standard sample is used to demonstrate the performances of QMXRS. The results show that our QMXRS is better than PyMca and QXAS.
|
Received: 2020-07-29
Accepted: 2020-11-21
|
|
Corresponding Authors:
CHENG Lin
E-mail: chenglin@bnu.edu.cn
|
|
[1] Duan Zeming, Liu Jun, Jiang Qili, et al. Nuclear Instruments and Methods in Physics Research Section B,2019, 442:13.
[2] CHENG Lin, LI Mei-tian, LI Long-hui, et al(程 琳, 李梅田, 黎龙辉, 等). Acta Optica Sinica(光学学报), 2015, 35(1): 0116002.
[3] DUAN Ze-ming(段泽明). Doctoral Dissertation(博士论文). Beijing Normal University(北京师范大学),2019.
[4] Vekemans B, Janssens K, Vincze L, et al. X-Ray Spectrom., 1994, 23: 278.
[5] Solé V A, Papillon E, Cotte M, et al. Spectrochim. Acta Part B, 2007, 62: 63.
[6] WANG Meng(王 蒙). Master Dissertation(硕士论文). Nanjing University of Aeronautics & Astronautics(南京航空航天大学), 2018.
[7] LU Yi-bing, LIU Wen-qing, ZHANG Yu-jun, et al(鲁一冰,刘文清,张玉钧,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2019, 39(9): 2657.
[8] GAN Yuan, GE Liang-quan, WANG Zhuo, et al(甘 媛, 葛良全, 王 卓, 等). Nuclear Electronics & Detection Technology(核电子学与探测技术), 2013, 33(1): 103.
[9] YANG Zhong-jian(杨中建). Master Dissertation(硕士论文). Chengdu University of Technology(成都理工大学), 2014.
[10] ZHAO Feng-kui, WANG Ai-min(赵奉奎, 王爱民). Nuclear Techniques(核技术), 2013, 36(10): 100402.
[11] LI Zhe(李 哲). Doctoral Dissertation(博士论文). Chengdu University of Technology(成都理工大学), 2013. |
[1] |
HAN Xue1, 2, LIU Hai1, 2, LIU Jia-wei3, WU Ming-kai1, 2*. Rapid Identification of Inorganic Elements in Understory Soils in
Different Regions of Guizhou Province by X-Ray
Fluorescence Spectrometry[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 225-229. |
[2] |
CHENG Hui-zhu1, 2, YANG Wan-qi1, 2, LI Fu-sheng1, 2*, MA Qian1, 2, ZHAO Yan-chun1, 2. Genetic Algorithm Optimized BP Neural Network for Quantitative
Analysis of Soil Heavy Metals in XRF[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3742-3746. |
[3] |
LI Xiao-li1, WANG Yi-min2*, DENG Sai-wen2, WANG Yi-ya2, LI Song2, BAI Jin-feng1. Application of X-Ray Fluorescence Spectrometry in Geological and
Mineral Analysis for 60 Years[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 2989-2998. |
[4] |
LI Yu-tang1, WANG Lin-zhu1, 2*, LI Xiang3, WANG Jun1. Characterization and Comparative Analysis of Non-Metallic Inclusions in Zirconium Deoxidized Steel[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2916-2921. |
[5] |
ZHOU Qing-qing1, LI Dong-ling1, 2, JIANG Li-wu1, 3*, WAN Wei-hao1, ZENG Qiang4, XUE Xin4, WANG Hai-zhou1, 2*. Quantitative Statistical Study on Dendritic Component Distribution of Single Crystal Blade Based on Microbeam X-Ray Fluorescence Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2112-2118. |
[6] |
DU Zhi-heng1, 2, 3, HE Jian-feng1, 2, 3*, LI Wei-dong1, 2, 3, WANG Xue-yuan1, 2, 3, YE Zhi-xiang1, 2, 3, WANG Wen1, 2, 3. A New EDXRF Spectral Decomposition Method for Sharpening Error Wavelets[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1719-1724. |
[7] |
CHEN Di, SONG Chen, SONG Shan-shan, ZHANG Zhi-jie*, ZHANG Hai-yan. The Dating of 9 Batches of Authentic Os Draconis and the Correlation
Between the Age Range and the Ingredients[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1900-1904. |
[8] |
FU Wan-lu1, 2, LU Hao3*, CHAI Jun4, SUN Zuo-yu1. Spectroscopic Characteristics of Longxi Nephrite From Sichuan and Its Color Genesis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1408-1412. |
[9] |
LIN Jing-tao, XIN Chen-xing, LI Yan*. Spectral Characteristics of “Trapiche-Like Sapphire” From ChangLe, Shandong Province[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1199-1204. |
[10] |
WU Lei1, LI Ling-yun2, PENG Yong-zhen1*. Rapid Determination of Trace Elements in Water by Total Reflection
X-Ray Fluorescence Spectrometry Using Direct Sampling[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 990-996. |
[11] |
SHAO Jin-fa1, LI Rong-wu2, PAN Qiu-li1, CHENG Lin1*. The Study of Non-Destructive Analysis of Tang Sancai Firing Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 781-787. |
[12] |
XU Wei-xuan1, CHEN Wen-bin2, 3*. Determination of Barium in Purple Clay Products for Food Contact by
Energy Dispersive X-Ray Fluorescence Spectrometry[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 475-483. |
[13] |
CHEN Ji-wen, YANG Zhen, ZHANG Shuai, CUI En-di, LI Ming*. Fast Resolution Algorithm for Overlapping Peaks Based on Multi-Peak Synergy and Pure Element Characteristic Peak Area Normalization[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 151-155. |
[14] |
JIA Wen-bao1, LI Jun1, ZHANG Xin-lei1, YANG Xiao-yan2, SHAO Jin-fa3, CHEN Qi-yan1, SHAN Qing1*LING Yong-sheng1, HEI Da-qian4. Study on Sample Preparation Method of Plant Powder Samples for Total Reflection X-Ray Fluorescence Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 169-174. |
[15] |
TANG Ju1, 2, DAI Zi-yun2*, LI Xin-yu2, SUN Zheng-hai1*. Investigation and Research on the Characteristics of Heavy Metal Pollution in Children’s Sandpits Based on XRF Detection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3879-3882. |
|
|
|
|