568 research outputs found
Speed limit to the Abrikosov lattice in mesoscopic superconductors
We study the instability of the superconducting state in a mesoscopic
geometry for the low pinning material MoGe characterized by a large
Ginzburg-Landau parameter. We observe that in the current driven switching to
the normal state from a nonlinear region of the Abrikosov flux flow, the mean
critical vortex velocity reaches a limiting maximum velocity as a function of
the applied magnetic field. Based on time dependent Ginzburg-Landau simulations
we argue that the observed behavior is due to the high velocity vortex dynamics
confined on a mesoscopic scale. We build up a general phase diagram which
includes all possible dynamic configurations of Abrikosov lattice in a
mesoscopic superconductor.Comment: 7 pages, 6 figure
Experimental investigation of flux motion in exponentially shaped Josephson junctions
We report experimental and numerical analysis of expontentially shaped long
Josephson junctions with lateral current injection. Quasi-linear flux flow
branches are observed in the current-voltage characteristic of the junctions in
the absence of magnetic field. A strongly asymmetric response to an applied
magnetic field is also exhibited by the junctions. Experimental data are found
in agreement with numerical predictions and demonstrate the existence of a
geometry-induced potential experienced by the flux quanta in nonuniform width
junctions.Comment: 16 pg, 8 figures, Submitted in PRB March
Single fluxon in double stacked Josephson junctions: Analytic solution
We derive an approximate analytic solution for a single fluxon in a double
stacked Josephson junctions (SJJ's) for arbitrary junction parameters and
coupling strengths. It is shown that the fluxon in a double SJJ's can be
characterized by two components, with different Swihart velocities and
Josephson penetration depths. Using the perturbation theory we find the second
order correction to the solution and analyze its accuracy. Comparison with
direct numerical simulations shows a quantitative agreement between exact and
approximate analytic solutions. It is shown that due to the presence of two
components, the fluxon in SJJ's may have an unusual shape with an inverted
magnetic field in the second junction when the velocity of the fluxon is
approaching the lower Swihart velocity.Comment: 4 pages, 3 figure
Automatic quality control of cardiac MRI segmentation in large-scale population imaging
The trend towards large-scale studies including population imaging poses new challenges in terms of quality control (QC). This is a particular issue when automatic processing tools such as image segmentation methods are employed to derive quantitative measures or biomarkers for further analyses. Manual inspection and visual QC of each segmentation result is not feasible at large scale. However, it is important to be able to detect when an automatic method fails to avoid inclusion of wrong measurements into subsequent analyses which could otherwise lead to incorrect conclusions. To overcome this challenge, we explore an approach for predicting segmentation quality based on reverse classification accuracy, which enables us to discriminate between successful and failed cases. We validate this approach on a large cohort of cardiac MRI for which manual QC scores were available. Our results on 7,425 cases demonstrate the potential for fully automatic QC in the context of large-scale population imaging such as the UK Biobank Imaging Study
Ternary Quarter Wavelength Coatings for Gravitational Wave Detector Mirrors: Design Optimization via Exhaustive Search
Multimaterial optical coatings are a promising viable option to meet the
challenging requirements (in terms of transmittance, absorbance and thermal
noise) of next generation gravitational wave detector mirrors. In this paper we
focus on ternary coatings consisting of quarter-wavelength thick layers, where
a third material (H') is added to the two presently in use, namely Silica (L)
and Titania-doped Tantala (H), featuring higher dielectric contrast (against
Silica), and lower thermal noise (compared to Titania-doped Tantala), but
higher optical losses. We seek the optimal material sequences, featuring
minimal thermal (Brownian) noise under prescribed transmittance and absorbance
constraints, by exhaustive simulation over all possible configurations, for
different values (in a meaningful range) of the optical density and extinction
coefficient of the third material. In all cases studied, the optimal designs
consist of a stack of (H'|L) doublets topped by a stack of (H|L) doublets,
confirming previous heuristic assumptions, and the achievable coating noise
power spectral density reduction factor is \sim 0.5. The robustness of the
found optimal designs against layer thickness deposition errors and
uncertainties and/or fluctuations in the optical losses of the third material
is also investigated. Possible margins for further thermal noise reduction by
layer thickness optimization, and strategies to implement it, are discussed.Comment: (twocolum style) 13 pages, 8 figures, 4 table (updated version 5)
Appearing on Physical Review Researc
Missing Slice Imputation in Population CMR Imaging via Conditional Generative Adversarial Nets
Accurate ventricular volume measurements depend on complete heart coverage in cardiac magnetic resonance (CMR) from where most immediate indicators of normal/abnormal cardiac function are available non-invasively. However, incomplete coverage, especially missing basal or apical slices in CMR sequences is insufficiently addressed in population imaging and current clinical research studies yet has important impact on volume calculation accuracy. In this work, we propose a new deep architecture, coined Missing Slice Imputation Generative Adversarial Network (MSIGAN), to learn key features of cardiac short-axis (SAX) slices across different positions, and use them as conditional variables to effectively infer missing slices in the query volumes. In MSIGAN, the slices are first mapped to latent vectors with position features through a regression net. The latent vector corresponding to the desired position is then projected onto the slice manifold conditional on slice intensity through a generator net. The latent vector along with the slice features (i.e., intensity) and desired position control the generation vs. regression. Two adversarial networks are imposed on the regressor and generator, encouraging more realistic slices. Experimental results show that our method outperforms the previous state-of-the-art in missing slice imputation for cardiac MRI
Progressive motion of an ac-driven kink in an annular damped system
A novel dynamical effect is presented: systematic drift of a topological
soliton in ac-driven weakly damped systems with periodic boundary conditions.
The effect is demonstrated in detail for a long annular Josephson junction.
Unlike earlier considered cases of the ac-driven motion of fluxons (kinks), in
the present case the long junction is_spatially uniform_. Numerical simulations
reveal that progressive motion of the fluxon commences if the amplitude of the
ac drive exceeds a threshold value. The direction of the motion is randomly
selected by initial conditions, and a strong hysteresis is observed. An
analytical approach to the problem is based on consideration of the interaction
between plasma waves emitted by the fluxon under the action of the ac drive and
the fluxon itself, after the waves complete round trip in the annular junction.
The analysis predicts instability of the zero-average-velocity state of the
fluxon interacting with its own radiation tails, provided that the drive's
amplitude exceeds an explicitly found threshold. The predicted threshold
amplitude strongly depends on the phase shift gained by the wave after the
round trip. A very similar dependence is found in the simulations, testifying
to the relevance of the analytical consideration.Comment: revtex text file and five eps figure files. Physical Review E, in
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