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Relativistic HPIC-LBM and its Application in Large Temporal-spatial Turbulent Magnetic Reconnection. Part I. Model Development and Validation
Zhu BJ(朱伯靖)1; Yan, Hui2; Zhong, Ying2; Chen, Jingkun2; Du, Yunfei2; Cheng, Huihong3; Yuen, David A.4
Source PublicationApplied Mathematical Modelling
2020-02
Volume78Pages:932-967
DOI10.1016/j.apm.2019.09.043
Contribution Rank第1完成单位
Indexed BySCI ; EI
KeywordRelativistic HPIC-LBM 3D LTSTMR Oblique instability Turbulent acceleration mechanism Magnetic fluctuation-induced self-generating-organization region Plasma turbulence-induced self-feeding-sustaining region 2.5D/3D Magnetic reconnection model
Abstract

Magnetic energy release conversion, plasma heating and charged particle energization-acceleration in the magnetic fluctuation-induced self-generating-organization region and the plasma turbulence-induced self-feeding-sustaining region are key issues for large temporal-spatial scale turbulent magnetic reconnection (LTSTMR; observed current sheet thickness to characteristic electron length, electron Larmor radius for low-β and electron inertial length for high-β, ratios on the order of 1010 ∼ 1011; observed evolution time to electron cyclotron time ratios on the order of 1010 ∼ 1011) that ranges from Earth’s magnetosphere to solar eruptions and other astrophysical phenomena. As the first part of a two-paper series, this paper introduces a relativistic hybrid particle-in-cell and lattice Boltzmann (RHPIC-LBM) model that describes the continuous kinetic-dynamic-hydro fully coupled LTSTMR evolution process. First, based on the governing equations of resistive relativistic magnetohydrodynamics (MHD), the relativistic discrete distribution functions for a magnetic field (D3Q7), electric field (D3Q13), electromagnetic field (D3Q13), charged particle (D3Q19) and neutral particle (D3Q27) of different plasma species are obtained for the RHPIC-LBM lattice grid. Then, the numerical process, algorithm, pseudocode, flowchart and GPU-CPU heterogenous framework of the RHPIC-LBM are described. Finally, this model is tested and validated on Tianhe-2from the National Supercomputer Center in Guang Zhou (NSCC-GZ) with 10,000  ∼  100,000 CPU cores and 50 ∼ 120 hours per case. We investigate the solar atmosphere LTSTMR activities, including the picoscale (10E−2 m ∼10E5 m), nanoscale (10E5 m ∼10E6 m), microscale (10E6 m ∼10E7 m), macroscale (10E7 m ∼10E8 m) and large hydroscale (10E8 m ∼10E9 m). All the simulation results are consistent with observations and theories. The validated model is applied to explore the turbulence evolution of the interactions of the magnetic helical structures in the 3D LTSTMR self-generating-organization magnetic field region and self-feeding-sustaining plasma region in Part II.

Funding ProjectNational Key Research and Development Program of China[2017YFB0202201] ; National Key Research and Development Project of China[2018YFC1504205] ; strategic priority research program of CAS[XDA17040507] ; strategic priority research program of CAS[XDA15010900] ; national basic research program of China[2013CBA01503] ; key program of NSFC[11333007] ; key program of NSFC[11933009] ; joint funds of NSFC[U1631130] ; frontier science key programs of CAS [QYZDJ-SSWSLH012] ; program for innovation team of Yunnan Province ; program for Guangdong introducing Innovative and entrepreneurial teams[2016ZT06D211] ; special program for applied research on super computation of the NSFC-Guangdong joint fund (second phase)[U1501501]
Funding OrganizationNational Key Research and Development Program of China[2017YFB0202201, 2018YFC1504205] ; strategic priority research program of CAS[XDA1704050, XDA15010900] ; national basic research program of China[2013CBA01503] ; key program of NSFC[11333007, 11933009] ; joint funds of NSFC[U1631130] ; frontier science key programs of CAS [QYZDJ-SSWSLH012] ; program for innovation team of Yunnan Province ; program for Guangdong introducing Innovative and entrepreneurial teams[2016ZT06D211] ; special program for applied research on super computation of the NSFC-Guangdong joint fund (second phase)[U1501501]
Language英语
Subject Area空间天文学 ; 太阳与太阳系
MOST Discipline Catalogue理学::数学 ; 理学::物理学 ; 理学::天文学
SubtypeArticle
PublisherELSEVIER SCIENCE INC
Publication PlaceSTE 800, 230 PARK AVE, NEW YORK, NY 10169 USA
ISSN0307904X
WOS IDWOS:000502889100047
WOS Research AreaEngineering ; Mathematics ; Mechanics
WOS SubjectEngineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications ; Mechanics
WOS KeywordLATTICE BOLTZMANN METHOD ; QUASI-SEPARATRIX LAYERS ; ENERGY-RELEASE ; ELECTRON ACCELERATION ; CURRENT SHEETS ; SOLAR-FLARES ; FLUX ROPES ; NANOFLARES ; PLASMA ; MHD
EI Accession Number20194807748765
EI KeywordsMagnetoplasma
EI Classification Number615.3 Magnetohydrodynamics (MHD) Power Generation - 691.2 Materials Handling Methods - 701 Electricity and Magnetism - 722.4 Digital Computers and Systems - 922.1 Probability Theory - 932.1.1 Particle Accelerators - 932.3 Plasma Physics
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ynao.ac.cn/handle/114a53/21182
Collection太阳物理研究组
Corresponding AuthorZhu BJ(朱伯靖)
Affiliation1.Yunnan Observatories, Chinese Academy of Sciences, Kunming, 650216, China
2.National Supercomputer Center in Guangzhou, Sun Yat-sen University, Guangzhou, 510006, China
3.College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
4.Applied Physics and Applied Mathematics Department, Columbia University, New York, 10027, USA
First Author AffilicationYunnan Observatories, Chinese Academy of Sciences
Corresponding Author AffilicationYunnan Observatories, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Zhu BJ,Yan, Hui,Zhong, Ying,et al. Relativistic HPIC-LBM and its Application in Large Temporal-spatial Turbulent Magnetic Reconnection. Part I. Model Development and Validation[J]. Applied Mathematical Modelling,2020,78:932-967.
APA Zhu BJ.,Yan, Hui.,Zhong, Ying.,Chen, Jingkun.,Du, Yunfei.,...&Yuen, David A..(2020).Relativistic HPIC-LBM and its Application in Large Temporal-spatial Turbulent Magnetic Reconnection. Part I. Model Development and Validation.Applied Mathematical Modelling,78,932-967.
MLA Zhu BJ,et al."Relativistic HPIC-LBM and its Application in Large Temporal-spatial Turbulent Magnetic Reconnection. Part I. Model Development and Validation".Applied Mathematical Modelling 78(2020):932-967.
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