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

dc.contributor.author Alhassid, Yoram
dc.contributor.author Bertsch, George F.
dc.contributor.author Gilbreth, Christopher N.
dc.contributor.author Nakada, Hitoshi
dc.contributor.author Özen, Cem
dc.date.accessioned 2019-06-27T08:01:59Z
dc.date.available 2019-06-27T08:01:59Z
dc.date.issued 2016
dc.department Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Biyoinformatik ve Genetik Bölümü en_US
dc.description.abstract Nuclear 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.citationcount 0
dc.identifier.doi 10.1051/epjconf/201612202001 en_US
dc.identifier.issn 2100-014X en_US
dc.identifier.issn 2100-014X
dc.identifier.scopus 2-s2.0-84978112072 en_US
dc.identifier.uri https://hdl.handle.net/20.500.12469/521
dc.identifier.uri https://doi.org/10.1051/epjconf/201612202001
dc.identifier.volume 122 en_US
dc.identifier.wos WOS:000389877200014 en_US
dc.institutionauthor Özen, Cem en_US
dc.language.iso en en_US
dc.publisher EDP Sciences en_US
dc.relation.journal EPJ Web of Conferences en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.scopus.citedbyCount 0
dc.title Level Densities of Heavy Nuclei in the Shell Model Monte Carlo Approach en_US
dc.type Conference Object en_US
dc.wos.citedbyCount 0
dspace.entity.type Publication

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