Published November 2016 | Version v1
Miscellaneous Restricted

The dangers of statistical tests of nuclear structure models

Creators

  • 1. Yale University, Old Field (United States)

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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Part of:
SSNET'16 - Abstracts and slides

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