4,389 research outputs found
Deviation from Bimaximal Mixing and Leptonic CP Phases in Family Symmetry and Generalized CP
The lepton flavor mixing matrix having one row or one column in common with
the bimaximal mixing up to permutations is still compatible with the present
neutrino oscillation data. We provide a thorough exploration of generating such
a mixing matrix from family symmetry and generalized CP symmetry
. Supposing that is broken down to
in the neutrino sector and
in the charged lepton sector, one column of
the PMNS matrix would be of the form up
to permutations, both Dirac CP phase and Majorana CP phases are trivial in
order to accommodate the observed lepton mixing angles. The phenomenological
implications of the remnant symmetry
in the neutrino sector and in the charged lepton
sector are studied. One row of PMNS matrix is determined to be , and all the three leptonic CP phases can only be trivial
to fit the measured values of the mixing angles. Two models based on
family symmetry and generalized CP are constructed to implement these model
independent predictions enforced by remnant symmetry. The correct mass
hierarchy among the charged leptons is achieved. The vacuum alignment and
higher order corrections are discussed.Comment: 44 pages, 7 figure
Tri-Direct CP in the Littlest Seesaw Playground
We discuss spontaneously broken CP symmetry in two right-handed neutrino
models based on the idea of having a {\it different residual flavour symmetry},
together with a {\it different residual CP symmetry}, associated with each of
the two right-handed neutrinos. The charged lepton sector also has a {\it
different residual flavour symmetry}. In such a {\it tri-direct CP approach},
we show that the combination of the three residual flavour and two residual CP
symmetries provides a new way of fixing the parameters. To illustrate the
approach, we revisit the Littlest Seesaw (LSS) model based on and then
propose new variants which have not so far appeared in the literature, with
different predictions for each variant. We analyse numerically the predictions
of the new variants, and then propose an explicit model which can realise one
of the successful benchmark points, based on the atmospheric flavon vacuum
alignment and the solar flavon vacuum alignment .Comment: 31 pages, 4 figure
Toward a unified interpretation of quark and lepton mixing from flavor and CP symmetries
We discussed the scenario that a discrete flavor group combined with CP
symmetry is broken to in both neutrino and charged lepton
sectors. All lepton mixing angles and CP violation phases are predicted to
depend on two free parameters and varying in the
range of . As an example, we comprehensively study the lepton mixing
patterns which can be derived from the flavor group and CP
symmetry. Three kinds of phenomenologically viable lepton mixing matrices are
obtained up to row and column permutations. We further extend this approach to
the quark sector. The precisely measured quark mixing angles and CP invariant
can be accommodated for certain values of the free parameters and
. A simultaneous description of quark and lepton flavor mixing
structures can be achieved from a common flavor group and CP,
and accordingly the smallest value of the group index is .Comment: 40 pages, 8 figure
Golden Littlest Seesaw
We propose and analyse a new class of Littlest Seesaw models, with two
right-handed neutrinos in their diagonal mass basis, based on preserving the
first column of the Golden Ratio mixing matrix. We perform an exhaustive
analysis of all possible remnant symmetries of the group which can be
used to enforce various vacuum alignments for the flavon controlling solar
mixing, for two simple cases of the atmospheric flavon vacuum alignment. The
solar and atmospheric flavon vacuum alignments are enforced by {\em different}
remnant symmetries. We examine the phenomenological viability of each of the
possible Littlest Seesaw alignments in , which preserve the first column
of the Golden ratio mixing matrix, using figures and extensive tables of
benchmark points and comparing our predictions to a recent global analysis of
neutrino data. We also repeat the analysis for an alternative form of Golden
Ratio mixing matrix.Comment: 32 pages, 7 figure
Nonlinear system identification and control using state transition algorithm
By transforming identification and control for nonlinear system into
optimization problems, a novel optimization method named state transition
algorithm (STA) is introduced to solve the problems. In the proposed STA, a
solution to a optimization problem is considered as a state, and the updating
of a solution equates to a state transition, which makes it easy to understand
and convenient to implement. First, the STA is applied to identify the optimal
parameters of the estimated system with previously known structure. With the
accurate estimated model, an off-line PID controller is then designed optimally
by using the STA as well. Experimental results have demonstrated the validity
of the methodology, and comparisons to STA with other optimization algorithms
have testified that STA is a promising alternative method for system
identification and control due to its stronger search ability, faster
convergence rate and more stable performance.Comment: 20 pages, 18 figure
Mutation of SLC35D3 causes metabolic syndrome by impairing dopamine signaling in striatal D1 neurons
We thank Dr. Ya-Qin Feng from Shanxi Medical University, Dr. Tian-Yun Gao from Nanjing University and Dr. Yan-Hong Xue from Institute of Biophysics (CAS) for technical assistance in this study. We are very thankful to Drs. Richard T. Swank and Xiao-Jiang Li for their critical reading of this manuscript and invaluable advice. Funding: This work was partially supported by grants from National Basic Research Program of China (2013CB530605; 2014CB942803), from National Natural Science Foundation of China 1230046; 31071252; 81101182) and from Chinese Academy of Sciences (KSCX2-EW-R-05, KJZD-EW-L08). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Peer reviewedPublisher PD
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