Monte Carlo uncertainty estimation for wavelength calibration

Details Monte Carlo uncertainty estimation for wavelength calibration Monte Carlo uncertainty estimation for wavelength calibration

2010-12-13

arxiv.org/abs/1012.2631v2

Physics

Data Analysis, Statistics and Probability

Monte Carlo, uncertainty, wavelength calibration, VMI

Scientific paper

CIPM published the Supplement I for GUM in 2008 as not only an alternative approach to estimate the uncertainty for a given calibration measurement but also as a proper uncertainty estimation one, whenever any of the conditions imposed in GUM which must be satisfied does not hold [1, 2]. Before the introduction of the new approach in the Supplement I, namely Monte Carlo (MC) method, the GUM rules have been always applied even if in cases where the mentioned conditions were not fulfilled. After or even before the official introduction of this MC method, a number of published papers in uncertainty estimation by using MC method had been shown up, giving more insight for the ways the uncertainties estimated and also for the specific calibration measurements under investigation themselves [3 - 16]. However, in most of those published papers, the application conditions required before a method selection should be analyzed, in fact, has been ignored. In our uncertainty study for wavelength calibration by using beat frequency technique, the application conditions have not been ignored but analyzed carefully and it was found that a GUM application condition was unsatisfactory. However, all the MC method conditions for this calibration problem have been well fulfilled. A computer program was then coded [17] following the steps in the Supplement I. The resultant outputs showed difference in statistical nature and suggested to replace the MC method to the GUM one as soon as possible for this case.

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