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MHD Models of Accretion Disks in Close Binaries

MHD Models of Accretion Disks in Close Binaries
封闭双星中吸积盘的 MHD 模型
批准号:
1312203
负责人:
James Stone
金额:
$31.15万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-09-01 至 2017-08-31

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中文摘要
翻译
这项提议的目的是将磁流体动力学(MHD)模拟工具应用于研究相互作用的紧密双星系统,如激变变星(CVs),补充目的是提高对吸积盘中磁旋转不稳定性的理解。虽然对CVs的观测为吸积的物理模型提供了丰富的约束,但先进的MHD模型尚未应用于这些系统中的盘的研究。该项目将把近距离双星系统周围的盘数值模拟结果与观测数据进行比较,以便进一步限制盘参数,如物理盘大小、角动量传输和全球盘特征(即螺旋激波、热点等)。该项目还将通过本科生和研究生的参与,促进劳动力的科学发展。该项目将通过制作动画和通过网络提供的封闭式二进制磁盘模型的可视化来向公众传达结果。
英文摘要
The goal of this proposal is to apply magnetohydrodynamic (MHD) modeling tools to the study of interacting close binary systems such as cataclysmic variables (CVs), with the complementary goal of improving the understanding of magneto-rotational instability in accretion disks. While observations of CVs have provided a wealth of constraints on physical models of accretion, advanced MHD models have yet to be applied to the study of the disks in these systems. The project will compare results from the numerical simulations of the disks around close binary star systems to observational data in order to further constrain disk parameters such as physical disk size, angular momentum transport, and global disk features (i.e. spiral shocks, hot spots, etc.). The project will also contribute to scientific workforce development through the involvement of undergraduate and graduate students. The project will communicate results to the public through the development of animations and visualizations of the close binary disk models made available via the web.
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Collaborative Research: Predicting the Observational Signatures of Accreting Black Holes
  • 批准号:
    1715277
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $40.84万
  • 财政年份:
    2017
  • 负责人:
    James Stone
  • 依托单位:
A Max-Planck/Princeton Research Center for Plasma Physics
  • 批准号:
    1523261
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $54.0万
  • 财政年份:
    2015
  • 负责人:
    James Stone
  • 依托单位:
FEW: A sustainable rural framework workshop for the upper Great Plains.
Collaborative Research: Black Hole Accretion Theory and Computation Network
  • 批准号:
    1333091
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $49.23万
  • 财政年份:
    2013
  • 负责人:
    James Stone
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
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