1,417 research outputs found
Leptogenesis with supersymmetric Higgs triplets in TeV region
The leptogenesis with supersymmetric Higgs triplets is studied in the light
of experimental verification in the TeV region. The lepton number asymmetry
appears just after the inflation via multiscalar coherent evolution of Higgs
triplets and antislepton on a flat manifold. If the Higgs triplet mass terms
dominate over the negative thermal-log term for the Hubble parameter H
comparable to the Higgs triplet mass M_\Delta, the asymmetry is fixed readily
to some significant value by the redshift and rotation of these scalar fields,
providing the sufficient lepton-to-entropy ratio n_L / s \sim 10^-10. This can
be the case even with M_\Delta \sim 1 TeV for the reheating temperature T_R
\sim 10^6 GeV and the mass parameter M / \lambda \sim 10^22 GeV of the
nonrenormalizable superpotential terms relevant for leptogenesis.Comment: 8 Pages, 2 figures. The discussion about the stability of the VEV's
of the Higgs triplets is adde
Affleck-Dine leptogenesis with triplet Higgs
We study an extension of the supersymmetric standard model including a pair
of electroweak triplet Higgs and . The neutrinos
acquire Majorana masses mediated by these triplet Higgs fields rather than the
right-handed neutrinos. The successful leptogenesis for baryogenesis can be
realized after the inflation through the Affleck-Dine mechanism on a flat
manifold consisting of , ,
(anti-slepton), even if the triplet Higgs mass is much larger than
the gravitino mass . Specifically, due to the
effects of the potential terms provided with the superpotential terms , ,
(), the phases of , , are rotated at the time with the Hubble parameter , producing generally the asymmetry with fraction . If is large enough, this early leptogenesis can be
completed before the thermal effects take place.Comment: 11 pages, 2 figure
Using Conservative Estimation for Conditional Probability instead of Ignoring Infrequent Case
There are several estimators of conditional probability from observed
frequencies of features. In this paper, we propose using the lower limit of
confidence interval on posterior distribution determined by the observed
frequencies to ascertain conditional probability. In our experiments, this
method outperformed other popular estimators.Comment: The 2016 International Conference on Advanced Informatics: Concepts,
Theory and Application (ICAICTA2016
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