Measurement, Models, and Uncertainty


Against the tradition, that has thought-about measurement in a position to produce pure information on physical systems, the unavoidable role played by the modeling activity in measurement is increasingly acknowledged, notably with respect to the analysis of measurement uncertainty. This paper characterizes measurement as a knowledge-based method and proposes a framework to perceive the operate of models in measurement and to systematically analyze their influence in the assembly of measurement results and their interpretation. To the present aim, a general model of measurement is sketched, which provides the context to spotlight the unavoidable, though sometimes implicit, presence of models in measurement and, finally, to propose some remarks on the relations between models and measurement uncertainty, complementarily classified as due to the idealization implied in the models and their realization in the experimental setup.

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