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Information and statistics in nuclear experiment and theory ISNET-5

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The King's Manor

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York

YO1 7EP

United Kingdom

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Nuclei communicate with us through a great variety of observables. Some are easy to measure; some take a considerable effort and experimental ingenuity. But not every observable has the potential to impact theoretical developments; some are more important than the others. Nuclear theory is developing tools to deliver uncertainty quantification and error analysis for theoretical studies as well as for the assessment of new experimental data. Statistical tools can also be used to assess the information content of an observable with respect to current theoretical models, evaluate the degree of correlation between different observables, and quantify theoretical approaches. Such technologies are essential for providing predictive capability, estimate uncertainties, and assess model-based extrapolations - as theoretical models are often applied to entirely new nuclear systems and conditions that are not accessible to experiment.
Data are expensive to get, and come with uncertainty. So what is the best way to use experimental results in the formulation of theoretical models that attempt to explain the results? The aim of this series of workshops - involving the broad nuclear physics community, together with applied mathematics, statistics and computer science - is to discuss the use of applied mathematics, information theory and statistics in the analysis of experiments, and within the context of theoretical models that are dealing with current and future experimental data.
Previous ISNET meetings have been held in Krakow, Poland (2012); Glasgow, UK (2013), ECT* (2015) and INT (2016).

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The King's Manor

Exhibition Square

York

YO1 7EP

United Kingdom

View Map

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