Ciencias,UNAM

Predicting nuclear masses by image reconstruction

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dc.contributor.author Morales, I
dc.contributor.author Frank, A
dc.contributor.author Barea, J
dc.contributor.author Hirsch, JG
dc.contributor.author Van Isacker, P
dc.contributor.author López-Vieyra, JC
dc.contributor.author Velázquez, VM
dc.date.accessioned 2011-01-22T10:26:20Z
dc.date.available 2011-01-22T10:26:20Z
dc.date.issued 2006
dc.identifier.issn 0218-3013
dc.identifier.uri http://hdl.handle.net/11154/1212
dc.description.abstract The differences between measured masses and Liquid Drop Model (LDM) predictions have well known regularities, which can be analyzed as a two-dimensional texture on the N-Z plane. The remaining microscopic effects, obtained after removing the smooth LDM mass contributions, have proved difficult to model. They contain all the information related to shell closures, nuclear deformation and the residual nuclear interactions, and display a well defined pattern. In the present work the more than 2000 known nuclear masses are studied as an array in the N-Z plane viewed through a mask, behind which the approximately 7000 unknown unstable nuclei that can exist between the proton and neutron drip lines are hidden. Employing a Fourier transform deconvolution method these masses can be predicted. Measured masses are reconstructed with and r.m.s. error of less than 100 keV. Potential applications of the present approach are outlined. en_US
dc.language.iso en en_US
dc.title Predicting nuclear masses by image reconstruction en_US
dc.type Article en_US
dc.identifier.idprometeo 1258
dc.source.novolpages 15(8):1855-1867
dc.subject.wos Physics, Nuclear
dc.subject.wos Physics, Particles & Fields
dc.description.index WoS: SCI, SSCI o AHCI
dc.relation.journal International Journal of Modern Physics E-Nuclear Physics

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