The GUM Tree Calculator: A Python Package for Measurement Modelling and Data Processing with Automatic Evaluation of Uncertainty

There is currently interest in the digitalisation of metrology because technologies that can measure, analyse, and make critical decisions autonomously are beginning to emerge. The notions metrological traceability measurement uncertainty should be supported, following recommendations Guide Expression Uncertainty Measurement (GUM). However, GUM offers no specific guidance. Here, we report on a Python package implements algorithmic data processing using ‘uncertain numbers’, which satisfy general criteria for an ideal format express uncertainty. An uncertain number represent physical quantity has not been determined exactly. Using numbers, models expressed clearly succinctly terms quantities involved. algorithms simple structures use provide example how supported digital systems. In particular, numbers capture propagate detailed information about influence along various stages chain. More exploited extract more value from results users at end