研究论文

Si-PIN探测器响应函数模型及其在EDXRF技术中的应用

  • 李哲;庹先国;石睿
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  • 1. 成都理工大学地学核技术四川省重点实验室, 成都 610059;2. 西南科技大学核废物与环境安全国防重点学科实验室, 四川绵阳 621010;3. 中国科学院高能物理研究所, 北京 100049

收稿日期: 2013-05-17

  修回日期: 2013-08-06

  网络出版日期: 2013-10-18

Si-PIN Detector Response Function Model and Its Applications in EDXRF Technology

  • LI Zhe;TUO Xianguo;SHI Rui
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  • 1. Provincial Key Laboratory of Applied Nuclear Technology in Geosciences, Chengdu University of Technology, Chengdu 610059, China;2. Key Discipline Laboratory of National Defense for Radioactive Waste and Environmental Security, Southwest University of Science and Technology, Mianyang 621010, Sichuan Province, China;3. Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China

Received date: 2013-05-17

  Revised date: 2013-08-06

  Online published: 2013-10-18

摘要

建立探测器响应函数模型实现对测量X射线能谱的分析,可提高EDXRF技术中谱数据处理的自动化程度和计算精度。通过对X射线的探测物理过程进行分析,建立了一种Si-PIN探测器响应函数模型,该模型包括4部分:全能峰低能侧的连续平台、全能峰的高斯型主成分、高斯型的Si逃逸和全能峰低能侧的指数拖尾。模型形式简单,各部分物理意义明确,各参数用自行编制的基于加权最小二乘法的程序拟合得到。研究中对19种单元素样品的特征X射线谱进行了拟合,并计算得到了相应的拟合优度因子在1.05~2.71范围内。表明该模型可以较好地表征Si-PIN探测测量的X射线谱峰峰形,有助于提高EDXRF的自动化分析过程。

本文引用格式

李哲;庹先国;石睿 . Si-PIN探测器响应函数模型及其在EDXRF技术中的应用[J]. 科技导报, 2013 , 31(28-29) : 35 -38 . DOI: 10.3981/j.issn.1000-7857.2013.h2.004

Abstract

The spectrum analysis can be carried out via establishing the detector response function(DRF), to improve the automation level and the computation accuracy of the spectrum data processing. A general DRF model is established for Si-PIN detectors via the analysis of the X-ray physical detect procedure. The model contains four parts: a flat continuum shift from zero to full energy; a Gaussian shaped principal component of full energy peak; a Gaussian shaped Si escape peak; and an exponential tail on the low energy side of the full energy peak. Each part of the model, with a simple format, has a clear and definite physical meaning. Parameters are obtained by using the program, based on the Weighted Least-Squares(WLS) method. Nineteen elements' X-ray spectra in total are fitted in the study, and the fitting reduced chi-squares are also obtained simultaneously, which is in the range of 1.05-2.71. It is shown that this DRF model can represent the characteristic X-ray spectrum peak shape very well.
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