A Python-based graphical uncertainty calculator with optimal propagation of uncertainty and Monte-Carlo evaluation possibility

• Abstract:

  A web-based uncertainty calculator for metrology professionals is presented in this paper. The system incorporates a Monte Carlo (MC) engine in accordance with GUM Supplement 1 and optimal first-order propagation that complies with the Guide to the Expression of Uncertainty in Measurement (GUM). A case study, algorithms, and architecture are described in detail. The findings demonstrate enhanced transparency, clear report generation (in PNG/PDF format) suitable for ISO/IEC 17025 documentation, and strong agreement between analytical propagation and MC evaluation. The benefits of integrating statistical simulation and rigorous analytical propagation in an intuitive web-based platform are emphasized. Users can view the installed script file and make changes to continuously improve its functionality using the editor-like text window that outputs the calculation results.

• Download:

  IMEKO-TC6-2025-035.pdf
• DOI:

  tc6-2025.035

Event details:

• IMEKO TC:

  TC6
• Event name:

  TC6 M4Dconf2025
• Title:

  2025 IMEKO TC-6 International Conference on Metrology and Digital Transformation

• Place:

  Benevento, ITALY
• Time:

  3 September 2025 - 5 September 2025