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arXiv 2103.07247physics.atom-ph
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L亚壳层电离截面测量准确度的不确定度评定

Evaluation of accurate uncertainty of measurement in L subshell ionization cross-section

Shashank Singh, Soumya Chatterjee, Debasis Mitra, Tapan Nandi

摘要:

为了更好地理解物理过程,必须将实验数据与理论值进行比较。如果能很好地考虑到实验中的不确定度,这种比较是有意义的。然而,它是罕见的,特别是对于一个复杂的现象。我们用粒子碰撞的方法,通过L亚壳层电离原子,得到了一个实验例。在实验上,X射线产生截面是测量的,但电离截面是理论计算的。此外,X射线产生截面的不确定性主要由统计和探测器效率驱动。由于产物生成与电离截面的关系,磺化反应的截面涉及到许多因素,具有很大的不确定性。因此,L亚壳层电离截面测量不确定度的确定一直是一个难题。我们用最简单的方法研究了这一问题,其中利用了相对不确定性的加权传播规则。我们注意到L1(2s ~(1/2))子壳层的原子参数比L2(2 p ~(1/2))和L3(2 p ~(3/2))子壳层的原子参数具有更大的不确定性。因此,理论与实验的比较将更加重视L2和L3亚壳层电离截面。我们相信这项工作使我们意识到,适当的不确定性评估对于提供正确的数据判断是极其重要的。

英文摘要:

To have a better understanding of a physical process, a comparison of ex-perimental data with theoretical values is mandatory. The comparison ismeaningful if the uncertainty in the experiment is accounted well. However,it is seldom seen, especially for a complex phenomenon. We take a test casethrough L subshell ionization of atoms by particle impact. Experimentally,x-ray production cross-sections are measured, but ionization cross-sectionsare calculated theoretically. Furthermore, the uncertainty of the x-ray pro-duction cross-section is mainly statistics and detector-efficiency driven. Butionization cross-section involves many other factors because of the relation-ship between the production and ionization cross section, having wide uncer-tainty spectrum. Consequently, determining the measurement uncertainty inL subshell ionization cross-section is always difficult. We have studied thisissue in the simplest way, where the rule of weighted propagation of rela-tive uncertainty is utilised. We notice that larger uncertainties are involvedin atomic parameters relevant to L1(2s1/2) subshell than those associatedwith the other two L2(2p1/2) and L3(2p3/2) subshells. Hence, comparisonbetween theory and experiment would give higher emphasis onL2andL3subshell ionization cross sections. We believe this work aware us that theappropriate uncertainty evaluation is extremely important for providing theright judgment on the data.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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