Study of the Solar Dynamics and its Evolution During Cycle 23 Based on an Improved Mode Fitting of a Solar Cycle Worth of Global Oscillation Network Group (GONG) Observations

基于改进的太阳周期模式拟合的第 23 周期太阳动力学及其演化研究值得全球振荡网络组 (GONG) 观测

• 批准号: 1037834
• 负责人: Sylvain Korzennik
• 金额: $ 40.49万
• 依托单位: Smithsonian Institution Astrophysical Observatory
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-12-15 至 2015-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1037834&HistoricalAwards=false
• 关键词: Study; Solar; Dynamics; its; Evolution

The Principal Investigator's objective is to infer the properties of internal solar rotation and its evolution during Solar Cycle 23, in order to provide key observational constraints on solar dynamo models. He plans to use an improved set of mode frequencies derived from nearly 13 years of Global Oscillation Network Group (GONG) observations. He will fit time series of various durations using a state-of-the-art methodology developed from past spacecraft observations, and then invert the resulting mode sets to obtain improved mode characteristics. The PI notes that this effort is timely, since the existing GONG data-fitting methodology was developed nearly 20 years ago and is not optimal. He expects his new fitting technique to be superior and to result in improved mode characteristics for GONG data. The proposer notes that the application of this technique to time series of GONG spherical harmonics coefficients will result in substantially improvements to assessments of solar internal structure, dynamics, and evolution.This work will increase the scientific return of the NSF-funded GONG project and will help address key scientific questions about solar variability. The PI's derived mode characteristics (frequency, line-width, asymmetry, and so forth) will be made freely available to the research community for additional scientific studies. The new fitting methodology will be provided to GONG project personnel, to allow them to integrate it into their standard data reduction process if deemed appropriate. The results from this effort also will complement existing analyses of older space-based data sets, will provide a unique cross-validation of these independent data sets fitted using the same methodology, and will allow the application of new state-of-the-art analysis techniques to Solar Cycle 24 data to be obtained by new solar instruments recently placed in orbit.

首席研究员的目标是推断太阳内部旋转的性质及其在太阳周期23期间的演变，以便为太阳发电机模型提供关键的观测约束。他计划使用一套改进的模态频率，这些频率来自近13年的全球振荡网络组（GONG）观测。他将使用从过去的航天器观测中发展出来的最先进的方法来拟合不同持续时间的时间序列，然后反演得到的模态集以获得改进的模态特性。PI指出，这一努力是及时的，因为现有的GONG数据拟合方法是近20年前开发的，并不是最佳的。他希望他的新拟合技术是优越的，并导致改进的模态特性的GONG数据。作者指出，将该技术应用于GONG球谐系数的时间序列将大大改善太阳内部结构、动力学和演化的评估。这项工作将增加美国国家科学基金会资助的GONG项目的科学回报，并将有助于解决有关太阳变化的关键科学问题。PI的衍生模态特性（频率、线宽、不对称性等）将免费提供给研究团体，用于其他科学研究。新的拟合方法将提供给GONG项目人员，以便他们在认为合适的情况下将其整合到标准数据简化过程中。这项工作的结果还将补充现有的对旧的天基数据集的分析，将为使用相同方法拟合的这些独立数据集提供独特的交叉验证，并将允许将最新的最先进的分析技术应用于最近放置在轨道上的新太阳仪器获得的太阳周期24数据。