NAGIOS: RODERIC FUNCIONANDO

Neutrinoless double beta decay in the dualized standard model

Repositori DSpace/Manakin

IMPORTANT: Aquest repositori està en una versió antiga des del 3/12/2023. La nova instal.lació está en https://roderic.uv.es/

Neutrinoless double beta decay in the dualized standard model

Mostra el registre parcial de l'element

dc.contributor.author Bordes Villagrasa, José M.
dc.contributor.author Chan, Hong-Mo
dc.contributor.author Gallego Torromé, Ricardo
dc.contributor.author Tsou, Sheung Tsun
dc.date.accessioned 2015-03-12T13:08:42Z
dc.date.available 2015-03-12T13:08:42Z
dc.date.issued 2001
dc.identifier.citation Bordes Villagrasa, José M. Chan, Hong-Mo Gallego Torromé, Ricardo Tsou, Sheung Tsun 2001 Neutrinoless double beta decay in the dualized standard model Physical Review D 63 11 117701
dc.identifier.uri http://hdl.handle.net/10550/42718
dc.description.abstract The dualized standard model offers a raison d'etre for 3 fermion generations and an explanation for their distinctive mass and mixing patterns, reproducing to a reasonable accuracy the empirical mixing matrix and mass spectrum for both quarks and leptons in terms of just a few parameters. With its parameters thus fixed, the result is a highly predictive framework. In particular, it is shown that it gives explicit parameter-free predictions for neutrinoless double beta decays. For Ge-76, it predicts a half-life of 10(31)-10(32) yr, which satisfies the present experimental lower bound of 1.8x10(25) y.
dc.language.iso eng
dc.relation.ispartof Physical Review D, 2001, vol. 63, num. 11, p. 117701
dc.subject Física
dc.title Neutrinoless double beta decay in the dualized standard model
dc.type journal article es_ES
dc.date.updated 2015-03-12T13:08:43Z
dc.identifier.doi 10.1103/PhysRevD.63.117701
dc.identifier.idgrec 030717
dc.rights.accessRights open access es_ES

Visualització       (130.5Kb)

Aquest element apareix en la col·lecció o col·leccions següent(s)

Mostra el registre parcial de l'element

Cerca a RODERIC

Cerca avançada

Visualitza

Estadístiques