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相关实验视频

太阳声谱和自身模式参数

Hill1, Stark, Stebbins

  • 1F. Hill, E. R. Anderson, J. W. Harvey, R. P. Hubbard, J. R. Kennedy, J. W. Leibacher, J. A. Pintar, C. G. Toner, R. Toussaint, and W. E. Williams are with the National Solar Observatory, National Optical Astronomy Observatories (NOAO), Post Office Box 26732, Tucson, AZ 85726-6732, USA. P. B. Stark is with the Department of Statistics and Space Sciences Laboratory, University of California, Berkeley, CA 94720, USA. R. T. Stebbins and D. A. Haber are with JILA, University of Colorado, Boulder, CO 80309, USA. H. M. Antia is with the Tata Institute of Fundamental Research, Bombay, India. T. M. Brown and S. Tomczyk are with the High Altitude Observatory, National Center for Atmospheric Research, Boulder, CO 80307, USA. T. L. Duvall is with the NASA Goddard Space Flight Center, Stanford University, Center for Space Science and Astrophysics (CSSA), Stanford, CA 94305, USA. D. H. Hathaway is with the NASA Marshall Space Flight Center, Mail Code ES82, Huntsville, AL 35812, USA. R. Howe and M. J. Thompson are with the Astronomy Unit, Queen Mary and Westfield College, London E1 4NS, UK. H. P. Jones is with the NASA Goddard Space Flight Center Southwest Station, NOAO, Tucson, AZ 85726, USA. S. G. Korzennik is with the Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138, USA. A. G. Kosovichev and J. Schou are with Stanford University, CSSA, Stanford, CA 94305, USA. K. G. Libbrecht is with the California Institute of Technology, 264-33, Pasadena, CA 91125, USA. E. J. Rhodes is with the Department of Physics and Astronomy, University of Southern California, Los Angeles, CA 90089, USA.

Science (New York, N.Y.)
|May 31, 1996
PubMed
概括

全球振荡网络集团 (GONG) 项目精确测量太阳声学共振,提供太阳活动的详细数据. 这些发现增强了我们对太阳内部结构和动态的理解.

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科学领域:

  • 太阳地震学 (Helioseismology) 是一个关于太阳的学科.
  • 太阳物理 太阳物理
  • 星星地震学是一门学科.

背景情况:

  • 太阳的声学共振为其内部结构和动态提供了洞察力.
  • 之前的日地震研究已经提供了有价值的,但有时有所不同的数据.

研究的目的:

  • 使用全球振荡网络集团 (GONG) 数据估计太阳声学共振的频率,振幅和线宽.
  • 评估GONG测量的精度和潜在的差异与其他日地震数据集相比.

主要方法:

  • 来自GONG项目的36天太阳能数据集的分析.
  • 估计声学共振参数,包括频率,振幅和线宽.
  • 平均频率超过亚齐图斯顺序 (m) 提高分辨率和减少错误.

主要成果:

  • 估计有超过25万个太阳声学共振.
  • 在单个数据集中实现了0.321微赫兹的频率分辨率.
  • 平均形式误差为0.044微赫兹,分数误差为1.6 x 10^-5的m-平均频率.
  • 预计分数误差为3 x 10^-6对于3年的数据集.
  • 观察到GONG和其他日发地震数据集之间的差异为0.03至0.08微赫兹.

结论:

  • GONG项目提供了太阳声学共振的高精度测量.
  • 与其他数据集的不一致可能源于系统错误,随机错误或实际的太阳结构变化.
  • 这些发现有助于更准确地了解太阳动力学和内部过程.