Uncertainty Analysis of the nuclear Liquid Drop Model

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.
Document type :
Journal articles
Complete list of metadatas

Cited literature [23 references]  Display  Hide  Download

http://hal.in2p3.fr/in2p3-01817812
Contributor : Michel Lion <>
Submitted on : Monday, June 18, 2018 - 1:58:37 PM
Last modification on : Thursday, February 7, 2019 - 5:21:20 PM
Long-term archiving on : Wednesday, September 19, 2018 - 4:00:17 PM

File

apssamp2.pdf
Files produced by the author(s)

Identifiers

Citation

B. Cauchois, Hongliang Lu, D. Boilley, G. Royer. Uncertainty Analysis of the nuclear Liquid Drop Model. Physical Review C, American Physical Society, 2018, 98 (2), pp.024305. ⟨10.1103/PhysRevC.98.024305⟩. ⟨in2p3-01817812⟩

Share

Metrics

Record views

355

Files downloads

202