1,718 research outputs found
The global classical solution to compressible Euler system with velocity alignment
In this paper, the compressible Euler system with velocity alignment and
damping is considered, where the influence matrix of velocity alignment is not
positive definite. Sound speed is used to reformulate the system into symmetric
hyperbolic type. The global existence and uniqueness of smooth solution for
small initial data is provided.Comment: 16 page
Study on muon anomalous magnetic dipole moment in BLMSSM via the mass insertion approximation
There are 4.2 deviations between the updated experimental results of
muon anomalous magnetic dipole moment (MDM) and the corresponding theoretical
prediction of the Standard Model (SM). We calculate the muon MDM in the
framework of the MSSM extension with local gauged baryon and lepton numbers
(BLMSSM). In this paper, we discuss how the muon MDM depends on the parameters
in the BLMSSM in detail within the mass insertion approximation. Among the many
parameters, , , and are more
sensitive parameters. Considering the experimental limitations, our best
numerical result of is around , which can
well compensate the departure between the experiment data and SM prediction
Study lepton flavor violation within the Mass Insertion Approximation
We study lepton flavor violating (LFV) decays
(,
and ) in the SSM,
which is the extension of the minimal supersymmetric standard
model(MSSM). The local gauge group of SSM is . These processes are strictly forbidden in the
standard model(SM), but these LFV decays are a signal of new physics(NP). We
use the Mass Insertion Approximation(MIA) to find sensitive parameters that
directly influence the result of the branching ratio of LFV decay
. Combined with the latest experimental
results, we analyze the relationship between different sensitive parameters and
the branching ratios of the three processes. According to the numerical
analysis, we can conclude that the main sensitive parameters and LFV sources
are the non-diagonal terms of the slepton mass matrix
mixing in the SSM
SSM is a non-universal Abelian extension of the Minimal
Supersymmetric Standard Model (MSSM) and its local gauge group is extended to
. Based on the latest data of
neutral meson mixing and experimental limitations, we investigate the process
of mixing in SSM. Using the effective Hamiltonian
method, the Wilson coefficients and mass difference are
derived. The abundant numerical results verify that
and
are sensitive parameters to the process of mixing. With
further measurement in the experiment, the parameter space of the SSM
will be further constrained during the mixing process of
Lepton flavor violating decays
In this paper, we study the lepton flavor violating decays of the
(j=2, 3; i=1, 2) processes under the
SSM. The SSM is the addition of three singlet new Higgs
superfields and right-handed neutrinos to the minimal supersymmetric standard
model (MSSM). Based on the latest experimental constraints of , we analyze the effects of different sensitive parameters on
the results and made reasonable predictions for future experimental
development. Numerical analysis shows that many parameters have a greater or
lesser effect on lepton flavor violation(LFV), but the main sensitive
parameters and sources leading to LFV are the non-diagonal elements involving
the initial and final leptons. This work could provide a basis for the
discovery of the existence of new physics (NP)
The flavor transition process in the SSM with the mass insertion approximation
People extend the MSSM with the local gauge group to obtain the
SSM. In the framework of the SSM, we study the flavor
transition process with the mass insertion
approximation (MIA). By the MIA method and some reasonable parameter
assumptions, we can intuitively find the parameters that have obvious effect on
the analytic results of the flavor transition process .
By means of the influences of different sensitive parameters, we can obtain
reasonable results to better fit the experimental data
Efficient Iris Localization via Optimization Model
Iris localization is one of the most important processes in iris recognition. Because of different kinds of noises in iris image, the localization result may be wrong. Besides this, localization process is time-consuming. To solve these problems, this paper develops an efficient iris localization algorithm via optimization model. Firstly, the localization problem is modeled by an optimization model. Then SIFT feature is selected to represent the characteristic information of iris outer boundary and eyelid for localization. And SDM (Supervised Descent Method) algorithm is employed to solve the final points of outer boundary and eyelids. Finally, IRLS (Iterative Reweighted Least-Square) is used to obtain the parameters of outer boundary and upper and lower eyelids. Experimental result indicates that the proposed algorithm is efficient and effective
- …