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Error analysis of nuclear mass fits

J. Toivanen, J. Dobaczewski, M. Kortelainen, and K. Mizuyama
Phys. Rev. C 78, 034306 – Published 10 September 2008
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Abstract

We discuss the least-squares and linear-regression methods, which are relevant for a reliable determination of good nuclear-mass-model parameter sets and their errors. In this perspective, we define exact and inaccurate models and point out differences in using the standard error analyses for them. As an illustration, we use simple analytic models for nuclear binding energies and study the validity and errors of models’ parameters and uncertainties of its mass predictions. In particular, we show explicitly the influence of mass-number-dependent weights on uncertainties of liquid-drop global parameters.

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  • Received 11 June 2008

DOI:https://doi.org/10.1103/PhysRevC.78.034306

©2008 American Physical Society

Synopsis

Key Image

Error tracking

Published 29 September 2008

Various models in nuclear physics can be used to fit the masses of known nuclei, but the predictions tend to be inconsistent for masses that have not been measured. A thorough study examines this problem and provides a route to quantify these errors.

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Authors & Affiliations

J. Toivanen1,*, J. Dobaczewski1,2, M. Kortelainen1, and K. Mizuyama1

  • 1Department of Physics, University of Jyväskylä, P. O. Box 35 (YFL), FI-40014 Finland
  • 2Institute of Theoretical Physics, University of Warsaw, ul. Hoża 69, PL-00-681 Warsaw, Poland

  • *jutato@phys.jyu.fi

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Issue

Vol. 78, Iss. 3 — September 2008

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