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In order to exploit measurement, test or calibration results, it is essential to know and control the uncertainties associated with them. It is to meet this challenge that LNE is launching LNE Uncertainty, a software to evaluate measurement uncertainty by propagation of variances according to the guide for the expression of measurement uncertainty (Gum) and/or by propagation of distributions using Monte Carlo simulations following Gum S1.
Developed by LNE experts and completely free of charge, LNE Uncertainty is a software for evaluating measurement uncertainty by variance propagation and/or distribution propagation using Monte Carlo simulations.
These methods are respectively described in Gum and its supplement 1 (Gum S1). The Gum (Guide to the expression of uncertainty in measurement) is a guide published by the International Bureau of Weights and Measures that establishes the general rules for evaluating and expressing measurement uncertainty.
In addition to the evaluation of measurement uncertainty by the Gum and Gum S1 methods, LNE Uncertainty makes it possible to:
• check the validity of the results obtained with the Gum method according to the criteria described in supplement 1 of the Gum;
• construct an uncertainty budget by performing a sensitivity analysis using two methods: Spearman rank correlation coefficients and Sobol indices;
• Simultaneously process several output quantities. The user can consult supplement 2 of the Gum for the notion of multiple measurands;
• determine the law of the output quantity by checking with the Kolmogorov-Smirnov test the adequacy to different theoretical laws (normal, Student, log-normal, Gamma, Beta, uniform, exponential ...).
In addition, in order to improve the user experience, LNE Uncertainty integrates the values of fundamental physical constants and their associated uncertainties (Codata 2018).
LNE Uncertainty has been added to the list of software developed at LNE and made available free of charge for several years.
