SHINE: Distinguishing Reconnection Scenarios for Solar Energetic Events

该提案将通过关注触发机制的模型来研究太阳能量事件的起源，包括那些由磁重联（例如，系绳切割，突破模型）和其他机制（例如，扭结不稳定性）发起的事件。到目前为止，只有少数事件被深入研究，以调查事件前的日冕特征，太阳爆发模型也只提供了少量的观测数据来测试模型。最终有足够的存档观测数据和可测试的模型预测，可以采取严格的统计方法。通过日冕亮度图和矢量磁图的参数化和矩分析来表征太阳高能事件的磁拓扑结构和事件前日冕动力学，以避免主观数据解释。这项调查将利用来自GOES、SoHO/LASCO、Yohkoh/SXT和SoHO/EIT档案的数据，以及夏威夷大学米斯太阳天文台的成像矢量磁图。提议者的分析将包括安静时间和区域的控制数据集，以此来检验零假设。从这些数据中得出的变量将受到判别分析，这是一种非常适合这种方法的统计工具。判别分析的强大之处在于它能够区分已知种群，例如，在多变量参数空间中，事件产生与事件安静数据点。组建的研究团队非常适合在太阳磁场、等离子体和高能事件的背景下进行数据采集、分析和解释的任务。即使不能确定能量事件起始的特定模型，也应该有可能对所涉及的过程施加约束。这项研究的结果将有助于定义和发展即将到来的nsf支持和合作项目，包括无数的基于地面和空间的努力，包括在他们的科学目标中对太阳能量事件的理解。通过利用长期观测项目的存档数据，该项目将有助于集中科学方法和未来调查的目标。

This proposal will investigate the origins of solar energetic events by focusing on models of the trigger mechanisms, including those initiated by magnetic reconnection (e.g., tether cutting, breakout models) and by other mechanisms (e.g., the kink instability). Until now, only a few events have been studied in depth to investigate pre-event coronal signatures, and models of solar eruptions have only sparsely provided observables by which to test models. There are finally sufficient archived observational data and testable predictions from models that a rigorous statistical approach can be taken. The magnetic topology and pre-event coronal dynamics of solar energetic events will be characterized by parameterizations and moment analysis of coronal brightness maps and vector magnetograms, in order to avoid subjective data interpretation. This investigation will make use of data from the GOES, SoHO/LASCO, Yohkoh/SXT, and SoHO/EIT archives, as well as the Imaging Vector Magnetograph at the University of Hawaii's Mees Solar Observatory. The proposers' analysis will include control data sets for quiet times and regions, against which to test the null hypothesis. The variables derived from these data will be subjected to Discriminant Analysis, a statistical tool well suited for this approach. The power of Discriminant Analysis lies in its ability to differentiate between known populations, e.g., event-producing vs. event-quiet data points, in a multiple-variable parameter space. The assembled research team is well suited for the tasks of data acquisition, analysis, and interpretation in the context of the solar magnetic fields, plasma, and energetic events. Even if a specific model for the initiation of energetic events cannot be identified, it should be possible to put constraints on the processes involved.The results of this study will aid in the definition and development of upcoming NSF-supported and collaborative projects, including the myriad ground-based and space-based efforts that include in their science goals the understanding of solar energetic events. By taking advantage of the archived data from long-running observational programs, this project will help focus the scientific approach and goals of future investigations.