Emilio Torrente-Lujan

Neutrino mass parameters from Kamland, SNO, and other solar evidence

An updated analysis of all available neutrino oscillation evidence in reactor (Kamland, first 145 days of data) and solar experiments (SK day and night spectra, global rates from Homestake, SAGE, and GALLEX) including the SNOCC and NC data is presented. In the framework of two active neutrino oscillations we determine the allowed regions in neutrino parameter space; we obtain, from the Kamland spectral shape and global signal, the following antineutrino best solution parameters:

The general gaugings of maximal d = 9 supergravity

\ensuremath{\Delta}{m}_{\mathrm{kl}}^{2}=7.7\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}5}{\mathrm{eV}}^{2},{\mathrm{tan}}^{2}{\ensuremath{\theta}}_{\mathrm{kl}}=0.98.

KamLAND, solar antineutrinos, and the solar magnetic field

The overall effect of the measured observed ratio

KamLAND bounds on solar antineutrinos and neutrino transition magnetic moments

R\ensuremath{\sim}0.6

KamLAND, solar antineutrinos and their magnetic moment

is that the large mixing angle (LMA) region remains the only one that is still favored. Combining Kamland and solar data and assuming CPT invariance, i.e., the same mass matrix for neutrinos and antineutrinos, we obtain the following antineutrino best solution parameters (LMAI solution):

Predictions from non trivial Quark-Lepton complementarity

\ensuremath{\Delta}{m}^{2}=7.1\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}5}{\mathrm{eV}}^{2},{\mathrm{tan}}^{2}\ensuremath{\theta}=0.47.

Maximal Nine Dimensional Supergravity, General gaugings and the Embedding Tensor

A second solution (LMAII) appears for values

KamLAND and solar antineutrino spectrum

\ensuremath{\Delta}{m}^{2}=1.5\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}4}{\mathrm{eV}}^{2},{\mathrm{tan}}^{2}\ensuremath{\theta}=0.48.

Toward minimal renormalizable SUSY SU(5) Grand Unified Model with tribimaximal mixing from A(4) Flavor symmetry

We determine additionally individual neutrino mixing parameters and their errors from fits to marginal likelihood distributions; the values are compatible with previous results. In both methods,

Hamevol1.0: a C++ code for differential equations based on Runge-Kutta algorithm. An application to matter enhanced neutrino oscillation

{\ensuremath{\chi}}^{2}