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dc.contributor.authorAlhassid, Yoram
dc.contributor.authorBertsch, George F.
dc.contributor.authorGilbreth, Christopher N.
dc.contributor.authorNakada, Hitoshi
dc.contributor.authorÖzen, Cem
dc.date.accessioned2019-06-28T11:10:53Z
dc.date.available2019-06-28T11:10:53Z
dc.date.issued2015
dc.identifier.isbn9789290834182
dc.identifier.urihttps://hdl.handle.net/20.500.12469/1354
dc.identifier.urihttps://doi.org/10.1142/9789812795151_0048
dc.description.abstractThe configuration-interaction shell model approach provides an attractive framework for the calculation of nuclear level densities in the presence of correlations but the large dimensionality of the model space has hindered its application in mid-mass and heavy nuclei. The shell model Monte Carlo (SMMC) method permits calculations in model spaces that are many orders of magnitude larger than spaces that can be treated by conventional diagonalization methods. We discuss recent progress in the SMMC approach to level densities and in particular the calculation of level densities in heavy nuclei. We calculate the distribution of the axial quadrupole operator in the laboratory frame at finite temperature and demonstrate that it is a model-independent signature of deformation in the rotational invariant framework of the shell model. We propose a method to use these distributions for calculating level densities as a function of intrinsic deformation. © 2015 CERN. All rights reserved.en_US]
dc.language.isoengen_US
dc.publisherCernen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectN/Aen_US
dc.titleMicroscopic nuclear level densities by the shell model Monte Carlo methoden_US
dc.typeconferenceObjecten_US
dc.identifier.startpage43en_US
dc.identifier.endpage50
dc.relation.journalCapture Gamma-Ray Spectroscopy And Related Topicsen_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Biyoinformatik ve Genetik Bölümüen_US
dc.institutionauthorÖzen, Cemen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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