Published November 1, 2008 | Version v1
Journal article

Testing the predictive power of nuclear mass models

  • 1. Instituto de Ciencias Nucleares, Universidad Nacional Autonoma de Mexico, Apdo. Postal 70-543, Mexico 04510 D.F. (Mexico)
  • 2. Center for Theoretical Physics, Sloane Physics Laboratory, Yale University, PO Box 208120, New Haven, CT 06520-8120 (United States)
  • 3. Grand Accelerateur National d'Ions Lourds, CEA/DSM-CNRS/IN2P3, BP 55027, F-14076 Caen cedex 5 (France)
  • 4. Facultad de Ciencias, Universidad Nacional Autonoma de Mexico, Apdo. Postal 70-543, Mexico 04510 D.F. (Mexico)

Description

A number of tests are introduced which probe the ability of nuclear mass models to extrapolate. Three models are analyzed in detail: the liquid drop model, the liquid drop model plus empirical shell corrections and the Duflo-Zuker mass formula. If predicted nuclei are close to the fitted ones, average errors in predicted and fitted masses are similar. However, the challenge of predicting nuclear masses in a region stabilized by shell effects (e.g., the lead region) is far more difficult. The Duflo-Zuker mass formula emerges as a powerful predictive tool

Availability note (English)

Available from http://dx.doi.org/10.1016/j.nuclphysa.2008.08.008

Additional details

Identifiers

DOI
10.1016/j.nuclphysa.2008.08.008;
PII
S0375-9474(08)00672-6;

Publishing Information

Journal Title
Nuclear Physics. A
Journal Volume
812
Journal Issue
1-4
Journal Page Range
p. 28-43
ISSN
0375-9474
CODEN
NUPABL

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
40047191
Subject category
S73: NUCLEAR PHYSICS AND RADIATION PHYSICS;
Descriptors DEI
BINDING ENERGY; EXTRAPOLATION; LIQUID DROP MODEL; MASS; MASS FORMULAE
Descriptors DEC
ENERGY; MATHEMATICAL MODELS; MATHEMATICAL SOLUTIONS; NUCLEAR MODELS; NUMERICAL SOLUTION

Optional Information

Copyright
Copyright (c) 2008 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.