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LNE Uncertainty: software for evaluating measurement uncertainties using GUM and Monte Carlo methods

LNE Uncertainty is a freeware software that evaluates the measurement uncertainty by the propagation of variances according to GUM and/or propagation of distributions using Monte Carlo simulations according to GUM S1.

LNE Uncertainty : the main function

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Logo du logiciel LNE Uncertainty

LNE Uncertainty is a freeware software that evaluates the measurement uncertainty by the propagation of variances and/or propagation of distributions using Monte Carlo simulations. These methods are described in the Guide to the Expression of Uncertainty in Measurement (GUM) and its Supplement 1 (GUM S1), respectively.

Developed by the Laboratoire National de Métrologie et d'Essais, LNE Uncertainty is written in MATLAB® and runs under Microsoft® Windows (tested under Windows 7, 8, and 10). It requires the prior installation of  MRC INSTALLER R2021a (9.10) 64 bits.

LNE Uncertainty est un gratuiciel.

Additional features

In addition to the evaluation of the uncertainty of measurement by the GUM and GUM S1 methods, LNE Uncertainty allows to:

  • verify the validity of the results obtained with the GUM method according to the criteria described in the GUM Supplement 1;
  • construct an uncertainty budget by performing a sensitivity analysis using two methods: Spearman rank correlation coefficients and Sobol indices;
  • process numerous output quantities simultaneously. The user can consult GUM Supplement 2 for the concept of multiple measurands;
  • determine the output quantity's distribution by checking with the Kolmogorov-Smirnov test the adequacy of different theoretical distributions: Normal, Student, Log-Normal, Gamma, Beta, Uniform, Exponential ...

In addition, to enhance the user experience, LNE Uncertainty incorporates the values of fundamental physical constants and their associated uncertainties (CODATA 2018).

Demonstration of LNE Uncertainty

Watch the demonstration video to find out how to use the LNE Uncertainty software, using a practical example.

Documentation