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DOE OSTI · 1734696

Uncertainty in Experimental Data Analysis [Slides]

Makaruk, Hanna Ewa
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Abstract

The talk was presented virtually to the Institute of Fundamental Technological Research, Polish Academy of Sciences in Warsaw, Poland, December 21, 2020. Astronomical observations, unusual medical cases, physics experiments too costly to repeat, natural events like earthquakes, hurricanes – all of them are impossible to repeat yet produce important scientific information not achievable in other way. This data should not be treated as qualitative, anecdotal evidence only. It should be analyzed in a mathematically rigorous way to produce quantitative experimental data. Analysis method for one-of-a-kind event data differs from analysis of a repeated experiment data. For a repeated experiments the experimental error includes a range of true values generated by repetitions of the experiment, and measurement uncertainty caused by detectors. They are independent. Repetitions of any experiment, as similar as achievable, always have built-in differences resulting in a range of the true values rather than in a single true experimental value. Measurement uncertainty depends on the measurement system only. Modern digital measurements have very small uncertainty, frequently smaller than the range of true experimental values resulting from built-in differences in the experiment repetitions. When data from one-of-a-kind experiment are analyzed, only the measurement uncertainty can be reported.

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71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICSexperimental data errorMeasurement uncertaintyone-of-a-kind event

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BibTeXRIS

Makaruk, Hanna Ewa. 2020-12-03. Uncertainty in Experimental Data Analysis [Slides]. https://doi.org/10.2172/1734696

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