11,522 research outputs found
Meissner States of Type II Superconductors
This paper concerns mathematical theory of Meissner states of a bulk
superconductor of type , which occupies a bounded domain in
and is subjected to an applied magnetic field below the critical
field . A Meissner state is described by a solution of a
nonlinear partial differential system called Meissner system, where is a
positive function on which is equal to the modulus of the order
parameter, and is the magnetic potential defined on the entire
space such that the inner trace of the normal component on the domain boundary
vanishes. Such a solution is called a Meissner solution.
Various properties of the Meissner solutions are examined, including
regularity, classification and asymptotic behavior for large value of the
Ginzburg-Landau parameter . It is shown that the Meissner solution is
smooth in , however the regularity of the magnetic potential outside
can be rather poor. This observation leads to the ides of
decomposition of the Meissner system into two problems, a boundary value
problem in and an exterior problem outside of . We show that
the solutions of the boundary value problem with fixed boundary data converges
uniformly on as tends to , where the limit field of
the magnetic potential is a solution of a nonlinear curl system. This indicates
that, the magnetic potential part of the solution
of the Meissner system, which has same tangential component of
on , converges to a solution of the curl system as
increases to infinity, which verifies that the curl system is indeed the
correct limit of the Meissner system in the case of three dimensions.Comment: Published in: J. Elliptic and Parabolic Equations, {\bf 4} (2)
(2018), 441-523. https://link.springer.com/article/10.1007/s41808-018-0027-0
Springer Nature Sharedit initiative link https://rdcu.be/bbM8
The order analysis for the two loop corrections to lepton MDM
The experimental data of the magnetic dipole moment(MDM) of lepton(,
) is very exact. The deviation between the experimental data and the
standard model prediction maybe come from new physics contribution.
In the supersymmetric models, there are very many two loop diagrams
contributing to the lepton MDM. In supersymmetric models, we suppose two mass
scales and with for supersymmetric particles.
Squarks belong to and the other supersymmetric particles belong to
. We analyze the order of the contributions from the two loop diagrams. The
two loop triangle diagrams corresponding to the two loop self-energy diagram
satisfy Ward-identity, and their contributions possess particular factors. This
work can help to distinguish the important two loop diagrams giving corrections
to lepton MDM.Comment: 12 pages, 3 figure
The naturalness in the BLMSSM and B-LSSM
In order to interpret the Higgs mass and its decays more naturally, we hope
to intrude the BLMSSM and B-LSSM. In the both models, the right-handed neutrino
superfields are introduced to better explain the neutrino mass problems. In
addition, there are other superfields considered to make these models more
natural than MSSM. In this paper, the method of analyses will be
adopted in the BLMSSM and B-LSSM to calculate the Higgs mass, Higgs decays and
muon . With the fine-tuning in the region and ,
we can obtain the reasonable theoretical values that are in accordance with the
experimental results respectively in the BLMSSM and B-LSSM. Meanwhile, the
best-fitted benchmark points in the BLMSSM and B-LSSM will be acquired at
minimal and ,
respectively
Transient dynamics of molecular devices under step-like pulse bias
We report first principles investigation of time-dependent current of
molecular devices under a step-like pulse.Our results show that although the
switch-on time of the molecular device is comparable to the transit time, much
longer time is needed to reach the steady state. In reaching the steady state
the current is dominated by resonant states below Fermi level. The contribution
of each resonant state to the current shows the damped oscillatory behavior
with frequency equal to the bias of the step-like pulse and decay rate
determined by the life time of the corresponding resonant state. We found that
all the resonant states below Fermi level have to be included for accurate
results. This indicates that going beyond wideband limit is essential for a
quantitative analysis of transient dynamics of molecular devices
26Al/10Be Age of Peking Man
The chronological position of Peking Man, or Homo erectus pekinensis, has long been pursued, but has remained problematic due to lack of a suitable dating method^1-7^. Here we report cosmogenic ^26^Al/ ^10^Be burial dating of quartz sediments and artifacts from the lower strata of Zhoukoudian Locality 1 where the remains of early members of the Peking Man family were discovered. This study marks the first radioisotopic dating of any early hominin site in China beyond the range of mass spectrometric U-series dating. The weighted mean of six meaningful measurements, 0.75 +/-; 0.09 (0.11) Ma (million years), provides the best age estimate for lower cultural Layers ^7-10^. Together with previously reported U-series^3^ and paleomagnetic^4^ data, as well as sedimentological considerations^8, 9^ these layers may be further correlated to S6-S7 in Chinese loess stratigraphy or marine isotope stages 17-18, in the range of ~0.68-0.75 Ma. These ages are substantially older than previously supposed and may imply hominin presence in northern China throughout early Middle Pleistocene climate cycles
Covariance, correlation matrix and the multi-scale community structure of networks
Empirical studies show that real world networks often exhibit multiple scales
of topological descriptions. However, it is still an open problem how to
identify the intrinsic multiple scales of networks. In this article, we
consider detecting the multi-scale community structure of network from the
perspective of dimension reduction. According to this perspective, a covariance
matrix of network is defined to uncover the multi-scale community structure
through the translation and rotation transformations. It is proved that the
covariance matrix is the unbiased version of the well-known modularity matrix.
We then point out that the translation and rotation transformations fail to
deal with the heterogeneous network, which is very common in nature and
society. To address this problem, a correlation matrix is proposed through
introducing the rescaling transformation into the covariance matrix. Extensive
tests on real world and artificial networks demonstrate that the correlation
matrix significantly outperforms the covariance matrix, identically the
modularity matrix, as regards identifying the multi-scale community structure
of network. This work provides a novel perspective to the identification of
community structure and thus various dimension reduction methods might be used
for the identification of community structure. Through introducing the
correlation matrix, we further conclude that the rescaling transformation is
crucial to identify the multi-scale community structure of network, as well as
the translation and rotation transformations.Comment: 10 pages, 7 figure
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