Uncertainty analysis of the nuclear liquid drop model

Bartholomé Cauchois, Hongliang Lü, David Boilley, and Guy Royer
Phys. Rev. C 98, 024305 – Published 8 August 2018

Abstract

The present work investigates the uncertainties in a nuclear liquid-drop model. The model parameters, their uncertainties and correlations, are determined through standard regression analysis that includes a statistical treatment of the errors of the model. The adjustment of the model is based on experimental binding energies corrected by the Thomas-Fermi shell corrections. The uncertainties are then propagated onto observables to reveal the reliability of the predictions and insight is provided to guide further research. Standard regression analysis is further extended to encompass experimental uncertainties as well as correlations. Strong support for such an extension can be found in Bayesian inference. The uncertainties and the correlations regarding microscopic corrections are not currently known; however, when available, these contributions may be included through this extended formalism.

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  • Received 30 March 2018

DOI:https://doi.org/10.1103/PhysRevC.98.024305

©2018 American Physical Society

Physics Subject Headings (PhySH)

Nuclear Physics

Authors & Affiliations

Bartholomé Cauchois, Hongliang Lü*, and David Boilley

  • Grand Accélérateur National d'Ions Lourds (GANIL), CEA/DRF-CNRS/IN2P3, BP 55027, F-14076 Caen Cedex, France and Normandie Université, Unicaen, Caen, France

Guy Royer

  • Laboratoire Subatech, UMR: IN2P3/CNRS-Université-Institut Mines Télécom, 4 rue A. Kastler, 44307 Nantes Cedex 03, France

  • *Present address: Inria Grenoble Rhône-Alpes, 655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France.
  • boilley@ganil.fr

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Issue

Vol. 98, Iss. 2 — August 2018

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