Computer Science ›› 2019, Vol. 46 ›› Issue (8): 89-94.doi: 10.11896/j.issn.1002-137X.2019.08.014

• HPC China 2018 • Previous Articles     Next Articles

HPIC-LBM Method Based Simulation of Large Temporal-Spatial Scale 3D Turbulent Magnetic Reconnection on Supercomputer

YAN Hui1, ZHU Bo-jing2, WAN Wen1, ZHONG Yin1, David A YUNE3   

  1. (National Supercomputer Center in Guangzhou,Sun Yat-Sen University,Guangzhou 510006,China)1
    (Yunnan Observatories,Center for Astronomical Mega-Science,Chinese Academy of Sciences,Kunming 650216,China)2
    (Applied Physics and Applied Mathematics Department,Columbia University,New York 10027,USA)3
  • Received:2018-07-23 Online:2019-08-15 Published:2019-08-15

Abstract: Large temporal-spatial scale turbulent magnetic reconnection (LTSTMR) is a general explosive astrophysical phenomena in space physics,solar physics and cosmology.To investigate this phenome,the mechanism of magnetic energy transfer-release-dissipation,plasma heating and acceleration of high energy particle should be learned,where the key is the role of turbulence.Previous 2D/2.5D simulation can only provide simplified physical pictures,which ignores the 3D nature and properties.By HPIC-LBM simulation on Tianhe-2 from National Supercomputer Center in Guang Zhou (NSCCGZ) with up to 100 000 CPU cores,the existence of oblique instability was firstly proved from fine structure simulation (0~500 km) of solar atmosphere activities.It also presented three kind of macroscopic representation inside the dissipation area:self-generating-organization,self-feeding-sustaining and interaction between magnetic field and plasma.This research provides a new tool for investigating 3D LTSTMR phenomenon on supercomputer

Key words: 3D turbulent magnetic reconnection, High performance computing, HPIC-LBM, Large temporal-spatial scale, Magnetic energy conversion-release-dissipation, Particle accelerating

CLC Number: 

  • O124
[1]PONTIN D I.Three-dimensional magneticreconnection regi- mes:A review [J].Advances in Space Research,2011,47(9):1508-1522.
[2]YAMADA M,YOO J S,ALMONTE J J,et al.Conversion of magnetic energy in magnetic reconnection layer of a laboratory plasma[J].Nature Communications,2014,5:4774.
[3]PARNELL C E,MACLEAN R C,HAYNES A L,et al.3D magnetic reconnection[J].Astrophysical Dynamics:From Ga-laxies to Starts Proceedings IAU Symposium,2010,6(S271),227-238.
[4]THURGOOD J O,PONTIN D I,MCLAUGHLIN J A.Three-dimensional Oscillatory magnetic reconnection[J].The Astrophysical Journal,2017,844(2):1-12.
[5]PARNELL C E,HAYNES A L,GALSGAARD K.Structure of magnetic separators and separator reconnection[J].Journal of Geophysical Research,2010,115:A02102.
[6]NAKAMURA T M,HASEGAWA H,DAUGHTON W,et al.Turbulent mass transfer caused by vortes induced reconnection in collisionless magnetospheric plasmas[J].Nature Communications,2017,8(1):1582.
[7]DAUGHTON W,ROYTERSHTEYN V,KARIMABADI H,et al.Role of electron physics in the development of turbulent magnetic reconnection in collisionless plasmas[J].Nature Physics,2011,7(7):539-542.
[8]MUÑOZ P A,JAIN N,KILIAN P,et al.A new hybrid code (CHIEF) implementing the inertial electron fluid equation without approximation[J].Computer Physics Communications,2018,224:245-264.
[9]FUJIMOTO K,SYDORA R.Plasmoid-induced turbulence in collisionless magnetic reconnection[J].Physical Review Letters,2012,109(26):265004.
[10]FUJIMOTO K.Studies on large-scale evolution of magnetic reconnection using full particle simulations with adaptive mesh refinement technique[D].Kyoto:Kyoto University Japan,2005.
[11]FUJIMOTO K.Possible plasma instabilities and electron hea- tings in the downstream region of the X-type neutral line[D].Kyoto:Kyoto University.Japan,2003.
[12]FUJIMOTO K.Three-dimensional outflow jets generated in collisionless magnetic reconnection[J].Geophysical Research Letters,2016,43(20):557-564.
[13]ZHU B J,LIN J.Applications and Development in Particle-in-Cell Methods for Investigating Large-Scale Turbulent Magnetic Reconnection[J].Progress in Astronomy,2016,34(4):459-476.(in Chinese) 朱伯靖,林隽.粒子云网格方法在大尺度湍流磁重联研究中的应用和进展[J].天文学进展,2016,34(4):459-476.
[14]ZHU B J.Application ofsupercomputing-based HPIC-LBM (hybrid particle in cell & lattice Boltzmann method) onmagne-tic energy dissipation mechanism in large scale turbulent magne-tic[C]∥Asis-Pacific Regional IAU Meeting.2017.
[15]CHENG H H,QIAO YC,LIU C,et al.Extended hybrid pressure and velocity boundary conditions for D3Q27 lattice Boltzmann model[J].Applied Mathematical Modelling,2012,36(5):2031-2055.
[16]ZHU B J,YAN H,YUEND A.Electron acceleration in interac- tion of magnetic islands in large temporal-spatial turbulent magnetic reconnection[J].Earth and Planetary Physics,2019,3(1):17-25.
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