95 research outputs found
Toy model of the Nucleon - Nucleon potential
We start from a system of six interacting constituent quarks and examine how
the picture of two nucleons can change when substructure of the nucleons are
taken into account.Comment: 9 pages, 6 figures, proceedings of the international conference
"Nuclear Structure and Related Topics
Correlations in self-bound systems of identical fermions
A method for the calculation of translationally invariant wave functions for
systems of identical fermions with arbitrary potential of pair interaction is
developed. It is based on the well-known result that the essential dynamic part
of the Hamiltonian for the system of identical particles is the Reduced
Hamiltonian operator describing relative movement of two particles inside the
system. The eigenfunctions of this operator take into account all correlations
caused by interaction. These eigenfunctions are basic for the construction of
the components (i.e. the functions with a lower degree of antisymmetry) of the
system wave functions. The main problem of this approach appears to be
antisymmetrization of the components. The developed universal algorithm for
antisymmetrization gives a possibility to perform this operation in a simple
way and keep numerical approximations under control.Comment: 20 pages REVTeX, submitted to Lithuanian J. Phy
Variable Resolution Sampling and Deep Learning-Based Image Recovery for Faster Multi-Spectral Imaging Near Metal Implants
Purpose: In multi-spectral imaging (MSI), several fast spin echo volumes with
discrete Larmor frequency offsets are acquired in an interleaved fashion with
multiple concatenations. Here, a variable resolution (VR) method to nearly
halve scan time is proposed by only acquiring low resolution autocalibrating
signal in half of the concatenations.
Methods: Knee MSI datasets were retrospectively undersampled with the
proposed variable resolution sampling scheme. A U-Net model was trained to
predict the full-resolution images from the VR input. Image quality was
assessed in 10 test subjects.
Results: Spectral bin-combined images produced with the proposed variable
resolution sampling with deep learning reconstruction appear to be of high
quality and exhibited a median structural image similarity of 0.984 across test
subjects and slices.
Conclusion: The proposed variable resolution sampling method shows promise
for drastically reducing the time it takes to collect multi-spectral imaging
data near metallic implants. Further studies will rigorously examine its
clinical utility across multiple implant scenarios
Simulation of Gate Lag and Current Collapse in Gallium Nitride Field-Effect Transistors
Results of two-dimensional numerical simulations of gate lag and current collapse in GaN heterostructurefield-effect transistors are presented. Simulation results clearly show that current collapse takes place only if an enhanced trapping occurs under the gate edges. Hot electrons play an instrumental role in the collapse mechanism. The simulation results also link the current collapse with electrons spreading into the buffer layer and confirm that a better electron localization (as in a double heterostructurefield-effect transistor) can dramatically reduce current collapse
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