dc.contributor.author | Haverinen, Tiia | |
dc.contributor.author | Kortelainen, Markus | |
dc.date.accessioned | 2017-05-19T10:24:04Z | |
dc.date.available | 2018-03-08T22:45:05Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Haverinen, T., & Kortelainen, M. (2017). Uncertainty propagation within the UNEDF models. <i>Journal of Physics G: Nuclear and Particle Physics</i>, <i>44</i>(4), Article 044008. <a href="https://doi.org/10.1088/1361-6471/aa5e07" target="_blank">https://doi.org/10.1088/1361-6471/aa5e07</a> | |
dc.identifier.other | CONVID_26942011 | |
dc.identifier.other | TUTKAID_73452 | |
dc.identifier.uri | https://jyx.jyu.fi/handle/123456789/54039 | |
dc.description.abstract | The parameters of the nuclear energy density have to be adjusted to
experimental data. As a result they carry certain uncertainty which then propagates
to calculated values of observables. In the present work we quantify the statistical
uncertainties of binding energies, proton quadrupole moments, and proton matter
radius for three UNEDF Skyrme energy density functionals by taking advantage of
the knowledge of the model parameter uncertainties. We find that the uncertainty of
UNEDF models increases rapidly when going towards proton or neutron rich nuclei.
We also investigate the impact of each model parameter on the total error budget. | |
dc.language.iso | eng | |
dc.publisher | IOP Publishing | |
dc.relation.ispartofseries | Journal of Physics G: Nuclear and Particle Physics | |
dc.subject.other | error propagation | |
dc.subject.other | Skyrme energy density functional | |
dc.subject.other | uncertainty quantification | |
dc.title | Uncertainty propagation within the UNEDF models | |
dc.type | article | |
dc.identifier.urn | URN:NBN:fi:jyu-201705192416 | |
dc.contributor.laitos | Fysiikan laitos | fi |
dc.contributor.laitos | Department of Physics | en |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | |
dc.date.updated | 2017-05-19T06:15:03Z | |
dc.type.coar | journal article | |
dc.description.reviewstatus | peerReviewed | |
dc.relation.issn | 0954-3899 | |
dc.relation.numberinseries | 4 | |
dc.relation.volume | 44 | |
dc.type.version | acceptedVersion | |
dc.rights.copyright | © 2017 IOP Publishing Ltd. This is a final draft version of an article whose final and definitive form has been published by IOP. Published in this repository with the kind permission of the publisher. | |
dc.rights.accesslevel | openAccess | fi |
dc.relation.doi | 10.1088/1361-6471/aa5e07 | |