Published November 2016
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The dangers of statistical tests of nuclear structure models
Description
It is common to assess the quality of nuclear models using statistical tests such as chi-square measures. Yet such tests, carried out without special care, can be extremely misleading. These dangers center on three issues: how to deal with data of differing precision, which observables to focus on, and theoretical uncertainties. These topics will be discussed with simple (idealized) examples. Time permitting, an application to a model of a partial dynamical symmetry based on SU(3), will be discussed, that illustrates the pros and cons of this model, the importance of valence nucleon number, and the issues of testing models mentioned above. This document is composed of an abstract and the slides of the presentation. (author)
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Additional details
Publishing Information
- Imprint Title
- SSNET'16 - Abstracts and slides
- Imprint Pagination
- 2457 p.
- Journal Page Range
- p. 815-844
- Report number
- INIS-FR--18-1371
Conference
- Title
- from experiment to theory
- Acronym
- SSNET'16 - International conference on shapes and symmetries in nuclei
- Dates
- 7-11 Nov 2016
- Place
- Gif sur Yvette (France)
INIS
- Country of Publication
- France
- Country of Input or Organization
- France
- INIS RN
- 49101841
- Subject category
- S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; S73: NUCLEAR PHYSICS AND RADIATION PHYSICS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- DATA ANALYSIS; NUCLEAR MODELS; OPTIMIZATION; PARAMETRIC ANALYSIS; STATISTICS; TESTING
- Descriptors DEC
- DATA PROCESSING; MATHEMATICAL MODELS; MATHEMATICS; PROCESSING
Optional Information
- Notes
- Available from the INIS Liaison Officer for France, see the INIS website for current contact and E-mail addresses