CAREER: Massively Parallel Simulation of Multiscale Dynamics and Plasma Heating in Alfvenic Turbulence

职业：阿尔芬湍流中多尺度动力学和等离子体加热的大规模并行模拟

• 批准号: 0449606
• 负责人: Zhihong Lin
• 金额: --
• 依托单位: University of California-Irvine
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-07-01 至 2010-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0449606&HistoricalAwards=false
• 关键词: CAREER; Massively; Parallel; Simulation; Multiscale

Random magnetic fluctuations are ubiquitous in laboratory, space, and astrophysical plasmas. The nonlinear, dynamical evolution of Alfvenic turbulence involving disparate spatial-temporal scales plays an important role in plasma heating, particle acceleration, and transport of mass, momentum, and energy in the interplanetary and interstellar medium. Understanding the basic plasma physics principles of Alfvenic turbulence has recently been identified by the National Research Council (NRC) as one of the key challenges in the next decade of research in solar and space physics. In this project, large scale kinetic simulations of Alfvenic turbulence enabled by recent advances in physics models, numerical algorithms, and the dramatically increased speed and capacity of parallel computers, will be utilized to study the physical processes underlying the spectral cascade from large to small scales and the associated energy dissipation leading to plasma heating. This study will also address many important subjects in basic plasma physics, e.g., the effects of wave-particle resonances, finite Larmor radius effects, and compressibility on the cascade and dissipation of Alfvenic turbulence. The wave-particle nonlinearity and wave-wave nonlinearity will be treated on an equal footing and be delineated. The possibility of stochastic ion heating by sub-cyclotron frequency Alfven waves will also be investigated. The proposed project will leverage cross-cutting research interests between space plasma physics, magnetic fusion science, and computational sciences. Advanced computational tools developed in magnetic fusion research, such as massively parallel gyrokinetic particle-in-cell simulations, will be introduced to space plasma research. Close collaboration will be undertaken with researchers in the Department of Energy's Scientific Discovery through Advanced Computing (SciDAC) Initiative. The proposed budget will support a postdoctoral researcher and a graduate student working on a Ph.D. thesis, and will help establish an advanced plasma simulation program at the University of California, Irvine. The Principal Investigator of this proposal will provide a training and education program that will incorporate state-of-the-art scientific computing in the physics curriculum. The students will learn massively parallel computation for solving real-world problems. Hands-on training will be provided through participation in the proposed plasma turbulence simulation. The course will be open to students from all science and engineering departments where parallel computing becomes an indispensable research tool. A parallel computing lab will be constructed using the PI's existing startup fund to develop innovative algorithms for parallel computing, data analysis, and advanced visualization in both instruction and research. Both the education and research aspects of the project will be integrated into an Interdisciplinary Center for Computational Science recently proposed at the University of California, Irvine.

随机磁涨落在实验室、空间和天体物理等离子体中普遍存在。Alfvenic湍流的非线性动力学演化涉及不同的时空尺度，在等离子体加热，粒子加速以及行星际和星际介质中的质量，动量和能量传输中起着重要的作用。最近，美国国家研究理事会（NRC）将了解Alfvenic湍流的基本等离子体物理原理确定为未来十年太阳和空间物理研究的关键挑战之一。在这个项目中，Alfvenic湍流的大规模动力学模拟，使最近的进展，在物理模型，数值算法，和并行计算机的速度和容量显着增加，将被用来研究的物理过程的光谱级联从大到小的尺度和相关的能量耗散导致等离子体加热。这项研究还将涉及基础等离子体物理学中的许多重要课题，例如，波粒共振、有限拉莫尔半径效应和压缩性对Alfvenic湍流级联和耗散的影响。波粒非线性和波波非线性将被同等对待，并被描绘。随机离子加热的亚回旋频率阿尔芬波的可能性也将被调查。 拟议的项目将利用空间等离子体物理学、磁聚变科学和计算科学之间的交叉研究兴趣。在磁聚变研究中开发的先进计算工具，如大规模并行回旋粒子模拟，将被引入空间等离子体研究。将与能源部高级计算科学发现倡议（SciDAC）的研究人员进行密切合作。拟议预算将支持一名博士后研究员和一名攻读博士学位的研究生。论文，并将帮助建立一个先进的等离子体模拟程序在加州大学欧文分校。该提案的主要研究者将提供一个培训和教育计划，将最先进的科学计算纳入物理课程。学生将学习大规模并行计算来解决现实世界的问题。将通过参与拟议的等离子体湍流模拟提供实践培训。该课程将开放给所有科学和工程部门的学生，并行计算成为不可或缺的研究工具。一个并行计算实验室将使用PI现有的启动基金来开发并行计算，数据分析和先进的可视化教学和研究的创新算法。该项目的教育和研究方面都将被整合到最近在加州大学欧文分校提议的计算科学跨学科中心。