Level Densities of Heavy Nuclei in the Shell Model Monte Carlo Approach

dc.contributor.authorAlhassid, Yoram
dc.contributor.authorBertsch, George F.
dc.contributor.authorGilbreth, Christopher N.
dc.contributor.authorNakada, Hitoshi
dc.contributor.authorÖzen, Cem
dc.date.accessioned2019-06-27T08:01:59Z
dc.date.available2019-06-27T08:01:59Z
dc.date.issued2016
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Biyoinformatik ve Genetik Bölümüen_US
dc.description.abstractNuclear level densities are necessary input to the Hauser-Feshbach theory of compound nuclear reactions. However the microscopic calculation of level densities in the presence of correlations is a challenging many-body problem. The configuration-interaction shell model provides a suitable framework for the inclusion of correlations and shell effects but the large dimensionality of the many-particle model space has limited its application in heavy nuclei. The shell model Monte Carlo method enables calculations in spaces that are many orders of magnitude larger than spaces that can be treated by conventional diagonalization methods and has proven to be a powerful tool in the microscopic calculation of level densities. We discuss recent applications of the method in heavy nuclei.en_US]
dc.identifier.citation0
dc.identifier.doi10.1051/epjconf/201612202001en_US
dc.identifier.issn2100-014Xen_US
dc.identifier.issn2100-014X
dc.identifier.scopus2-s2.0-84978112072en_US
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/20.500.12469/521
dc.identifier.urihttps://doi.org/10.1051/epjconf/201612202001
dc.identifier.volume122en_US
dc.identifier.wosWOS:000389877200014en_US
dc.identifier.wosqualityN/A
dc.institutionauthorÖzen, Cemen_US
dc.language.isoenen_US
dc.publisherEDP Sciencesen_US
dc.relation.journalEPJ Web of Conferencesen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleLevel Densities of Heavy Nuclei in the Shell Model Monte Carlo Approachen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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