48 research outputs found

    GAMER with out-of-core computation

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    GAMER is a GPU-accelerated Adaptive-MEsh-Refinement code for astrophysical simulations. In this work, two further extensions of the code are reported. First, we have implemented the MUSCL-Hancock method with the Roe's Riemann solver for the hydrodynamic evolution, by which the accuracy, overall performance and the GPU versus CPU speed-up factor are improved. Second, we have implemented the out-of-core computation, which utilizes the large storage space of multiple hard disks as the additional run-time virtual memory and permits an extremely large problem to be solved in a relatively small-size GPU cluster. The communication overhead associated with the data transfer between the parallel hard disks and the main memory is carefully reduced by overlapping it with the CPU/GPU computations.Comment: 4 pages, 4 figures, conference proceedings of IAU Symposium 270 (eds. Alves, Elmegreen, Girart, Trimble

    Vortex Turbulence in Linear Schroedinger Wave Mechanics

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    Quantum turbulence that exhibits vortex creation, annihilation and interactions is demonstrated as an exact solution of the time-dependent, free-particle Schr\"odinger equation evolved from a smooth random-phased initial condition. Relaxed quantum turbulence in 2D and 3D exhibits universal scaling in the steady-state energy spectrum as k-1 in small scales. Due to the lack of dissipation, no evidence of the Kolmogorov-type forward energy cascade in 3D or the inverse energy cascade in 2D is found, but the rotational and potential flow components do approach equi-partition in the scaling regime. In addition, the 3D vortex line-line correlation exhibits universal behaviour, scaled as \Deltar^-2, where \Deltar is the separation between any two vortex line elements, in fully developed turbulence. We also show that the quantum vortex is not frozen to the matter, nor is the vortex motion induced by other vortices via Biot-Savart's law. Thus, the quantum vortex is actually a nonlinear wave, propagating at a speed very different from a classical vortex.Comment: 9 pages, 14 figure

    Cosmological Simulations of Two-Component Wave Dark Matter

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    Wave (fuzzy) dark matter consists of ultralight bosons (m∼10βˆ’22–10βˆ’20 eVm \sim 10^{-22} \textrm{--} 10^{-20}\,{\rm eV}), featuring a compact solitonic core at the centre of a granular halo. Here we extend this model to a two-component wave dark matter, with distinct particle masses and coupled only through gravity, and investigate the resulting soliton-halo structure via cosmological simulations. Specifically, we assume wave dark matter contains 7575 per cent major component and 2525 per cent minor component, fix the major-component particle mass to mmajor=1Γ—10βˆ’22 eVm_{\rm major}=1\times10^{-22}\,{\rm eV}, and explore two different minor-component particle masses with mmajor:mminor=3:1m_{\rm major}:m_{\rm minor}=3:1 and 1:31:3, respectively. For mmajor:mminor=3:1m_{\rm major}:m_{\rm minor}=3:1, we find that (i) the major- and minor-component solitons coexist, have comparable masses, and are roughly concentric. (ii) The soliton peak density is significantly lower than the single-component counterpart, leading to a much smoother soliton-to-halo transition and rotation curve. (iii) The combined soliton mass of both components follows the same single-component core-halo mass relation. In dramatic contrast, for mmajor:mminor=1:3m_{\rm major}:m_{\rm minor}=1:3, we find that a minor-component soliton cannot form with the presence of a stable major-component soliton; the total density profile, for both halo and soliton, is thus dominated by the major component and closely follows the single-component case. To support this finding, we propose a toy model to illustrate that it is difficult to form a soliton in a hot environment associated with a deep gravitational potential. The work demonstrates the extra flexibility added to the multi-component wave dark matter model is capable of resolving observational tensions over the single-component model while retaining key features of the single-component model.Comment: 19 pages, 24 figures, 1 table, submitted to MNRA
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