One and two proton separation energies from nuclear mass systematics using neural networks

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dc.creatorAthanassopoulos, S.
dc.creatorMavrommatis, E.
dc.creatorGernoth, K. A.
dc.creatorClark, J. W.
dc.date2005-09-26
dc.date.accessioned2026-07-07T06:19:23Z
dc.date.available2026-07-07T06:19:23Z
dc.descriptionWe deal with the systematics of one and two proton separation energies as predicted by our latest global model for the masses of nuclides developed with the use of neural networks. Among others, such systematics is useful as input to the astrophysical rp-process and to the one and two proton radioactive studies. Our results are compared with the experimental separation energies referred to in the 2003 Atomic Mass Evaluation and with those evaluated from theoretical models for the masses of nuclides, like the FRDM of M&#246;ller et al. and the HFB2 of Pearson et al. We focus in particular on the proton separation energies for nuclides that are involved in the rp-process (29<=Z<=40) but they have not yet been studied experimentally.
dc.descriptionProceedings for the 14th Hellenic Symposium on Nuclear Physics (2004)
dc.identifierhttps://arxiv.org/abs/nucl-th/0509075
dc.identifierhttp://arxiv.org/abs/nucl-th/0509075
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/95052
dc.subjectNuclear Theory
dc.titleOne and two proton separation energies from nuclear mass systematics using neural networks
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