We present a new optimization-based reconstruction model with geometric feature-preserving regularization. The previous construction approach of optimization-based requires generally solving a tremendously large discr...
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We present a new optimization-based reconstruction model with geometric feature-preserving regularization. The previous construction approach of optimization-based requires generally solving a tremendously large discrete linear system. In addition, the analytic algorithms, such as, back-projection related methods, Fourier transform based reconstruction algorithms, are sensitive to noise. These disadvantages motivate us naturally to present a new optimization-based regularization algorithm, as distinct from traditionally constructing a discrete linear system, that is based upon a continuous energy functional model like analytic one. Some theoretical derivations and numerical computing of our model are discussed. Experimental results illustrate the desirable performance of the algorithm under various noiseless data situations. And the geometric feature-preserving regularizer is used in numerical simulations to demonstrate the robustness and effectiveness of the algorithm under various contaminated data scenarios.
The half-life of the Iπ = 4− intruder state at 2305 keV in 3415P19 has been measured using γ-ray coincident fast timing with LaBr3:Ce scintillation detectors. Excited states in 34P were populated in the 18O(18O,pn)3...
The half-life of the Iπ = 4− intruder state at 2305 keV in 3415P19 has been measured using γ-ray coincident fast timing with LaBr3:Ce scintillation detectors. Excited states in 34P were populated in the 18O(18O,pn)34P reaction at a beam energy of 36 MeV at the Tandem Laboratory at the National institute of Physics and Nuclear engineering, Bucharest, Romania. A half-life of t1/2 ~ 2 ns was obtained for the 4− state, giving an M2 reduced transition probability consistent with similar transitions in this mass region and confirming the intruder-parity nature of the state.
We present a numerical study of the energy spectra and fluxes in the inertial range of turbulent Rayleigh-Bénard convection for a wide range of Prandtl number. We consider both free-slip and no-slip conditions fo...
We present a numerical study of the energy spectra and fluxes in the inertial range of turbulent Rayleigh-Bénard convection for a wide range of Prandtl number. We consider both free-slip and no-slip conditions for our simulation. Our results support the Kolmogorov-Obukhov (KO) scaling for velocity field for zero-Prandtl number and low-Prandtl number (P 1) convection. For large Prandtl number (P > 1) convection, the Bolgiano-Obukhov scaling (BO) appears to agree with the numerical results better than the KO scaling. We provide phenomenological arguments for the zero-Prandtl and low-Prandtl number convection.
CHIMERA is a multi-dimensional radiation hydrodynamics code designed to study core-collapse supernovae. The code is made up of three essentially independent parts: a hydrodynamics module, a nuclear burning module, and...
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CHIMERA is a multi-dimensional radiation hydrodynamics code designed to study core-collapse supernovae. The code is made up of three essentially independent parts: a hydrodynamics module, a nuclear burning module, and a neutrino transport solver combined within an operator-split approach. Given CHIMERA's complexity and pace of ongoing development, a new support system, Bellerophon, has been designed and implemented to perform automated verification, visualization and management tasks while integrating with other workflow systems utilized by CHIMERA's development group. In order to achieve these goals, a multitier approach has been adopted. By integrating supercomputing platforms, visualization clusters, a dedicated web server and a client-side desktop application, this system attempts to provide an encapsulated, end-to-end solution to these needs.
In this paper, we present a new flexible alignment method to align two or more similar images. By minimizing an energy functional measuring the difference of the initial image and target image, a L 2 -gradient flow is...
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In this paper, we present a new flexible alignment method to align two or more similar images. By minimizing an energy functional measuring the difference of the initial image and target image, a L 2 -gradient flow is derived. The flow is integrated by a finite element method in the spatial direction and a semi-implicit Euler scheme in the temporal direction. The experimental results show that the proposed method is efficient, effective and capable of capturing large variation of the initial and the target images.
Wave propagation simulation has important applications in oil ***, the finite difference method is the most popular numerical method for simulation of wave propa gation as it has high computational efficiency and is e...
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Wave propagation simulation has important applications in oil ***, the finite difference method is the most popular numerical method for simulation of wave propa gation as it has high computational efficiency and is easy to handle boundary *** this paper, we focus on how to simulate wave propagation efficiently by high order Lagrange element on triangular *** the mass matrix must be inverted at each time step, the mass lumping technique is required to improve *** low order such as linear Lagrange element, the mass lumping can be implemented by using the quadratic rules for numerical integration, but it is not obvious for high order Lagrange finite element.
In this paper, we proposed an improved niche genetic algorithm on the basis of the density clustering-based DBSCAN algorithm which can distinct between niches dynamically and maintain the ability of population diversi...
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Taking our proposition about the grid-based simulation for the microstructure of the closed-cell foam into account, and choosing position of voids as optimal variables, this paper builds an optimal model for the two-p...
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A Legendre pseudospectral method with penalty scheme is established in frequency domain for high-accuracy waveguide mode analysis. For a square dielectric waveguide, the calculated modal index is seen to converge to t...
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The ever-increasing power of high-performance computers and advances in numerical techniques make possible the realistic study of two-phase flow problems in three spatial dimensions. Unfortunately, today, there is oft...
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The ever-increasing power of high-performance computers and advances in numerical techniques make possible the realistic study of two-phase flow problems in three spatial dimensions. Unfortunately, today, there is often still a gap between the design of numerical algorithms and the characteristics of the hardware on which the algorithms are executed. For the solution of a particular sub problem of a two-phase flow problem, we develop a numerical algorithm that aims to match the architecture of a cluster of nodes with multi-core chips. The algorithm is concerned with the re-initialization of level set function used to keep track of the interface between two phases of a fluid. It consists of a hybrid MPI/OpenMP parallelization strategy, using a domain decomposition approach on the outermost level of parallelization. On the inner level, a parallel region handles an individual sub domain. So, a domain decomposition approach based on MPI is combined with an OpenMP approach leading to a hybrid distributed-/shared-memory parallelization. Numerical experiments show that using such a hybrid strategy scales better than a pure MPI parallelization on two different Xeon-based clusters of quad-core processors using up to 1024 cores.
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