Plank’s Constant: Evaluation of Measurement Uncertainty

B. Menin, Beer-Sheba Israel Mechanical Refrigeration Consultation Expert
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Abstract

In this article, we present a new metric called the comparative uncertainty, according to which the least achievable relative uncertainty is calculated when measuring the Planck constant. To calculate the comparative uncertainty, information theory is used. The optimizing criterion is the number of quantities considered in the model. Its calculation is possible due to the fact that any model contains a certain amount of information about the object under study. Comparative uncertainty can be verified by field trials or computer simulations within a specified range of changes of the Planck constant. The concept of introduced uncertainty is universal and can be recommended for estimating the accuracy of measurements in the study of physical phenomena and technological processes. Examples of application of the proposed approach are discussed.
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普朗克常数:测量不确定度的评定
在本文中,我们提出了一个新的度量,称为比较不确定度,根据该度量,在测量普朗克常数时计算可实现的最小相对不确定度。采用信息论计算比较不确定性。优化准则是模型中考虑的数量。它的计算是可能的,因为任何模型都包含有关所研究对象的一定数量的信息。比较不确定性可以通过现场试验或计算机模拟在特定范围内的普朗克常数的变化来验证。引入不确定度的概念是通用的,可以推荐用于估计物理现象和技术过程研究中的测量精度。讨论了该方法的应用实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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