SHINE: Characterizing the Coronal Origins of Slow Solar Wind using Heavy Ion Composition and Spectroscopic Observations

SHINE：利用重离子成分和光谱观测来表征慢速太阳风的日冕起源

• 批准号: 1621686
• 负责人: Jimmie Raines
• 金额: $ 37.06万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2021-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1621686&HistoricalAwards=false
• 关键词: SHINE; Characterizing; Coronal; Origins; Slow

As the most dominant component of the solar wind that engulfs the Earth on the ecliptic plane at 1 AU, the Slow-speed Solar Wind (SSW) plays a substantial role in shaping and determining the Geospace environment and the Earth's upper atmosphere where most of the man-made satellites are located. However, despite all the efforts devoted to investigating the SSW, two fundamental questions about this type of wind remain unanswered: (1) where does the SSW originate in the corona; and, (2) how do the coronal plasma properties determine the in-situ heavy ion composition of the SSW? This 3-year SHINE project is aimed at characterizing the coronal origins of the SSW in order to answer these two important science questions. The project team will study the SSW, utilizing two completely different techniques: in-situ measurements of local wind plasma properties, and remote-sensing spectral or imaging observations. When combined together, these two techniques can become a formidable tool that allows the investigators to fully exploit their potential to study the origin of the SSW. This project will benefit the solar research community and serve important educational functions. By using two completely different measurement techniques, this project will serve as a bridge between two different solar physics communities that have been working in parallel with limited interaction: the in-situ community and the remote sensing community, and will thus stimulate a new wave of cross collaborations. The research will be carried out at the University of Michigan at Ann Arbor, where it will support undergraduate education through the University's UROP program and graduate education through collaboration with the graduate students in our department. The project will also support a young female postdoc, thus helping her establish a career as a woman in STEM disciplines. The research and EPO agenda of this project supports the Strategic Goals of the AGS Division in discovery, learning, diversity, and interdisciplinary research.This 3-year SHINE project is aimed at characterizing the origin of the solar wind. In order to achieve this goal, the project team will utilize in-situ measurements from ACE/SWICS and SWEPAM, Ulysses/SWICS, SWOOPS and Wind/SWE and combine the analysis with remote-sensing data from SOHO/MDI, SDO/HMI and Hinode/SOT. The in-situ solar wind observations will be classified based on their coronal origin types rather then their in-situ properties. Back-tracking methods will be used to identify the corresponding source regions on the Sun. The physical properties of the solar wind source regions will be determined using spectral line intensities. This research project is directly relevant to the NSF's SHINE program, because it will provide important knowledge about the origin of the solar wind. Such knowledge is critical for accurate modeling and prediction of the space weather conditions from the solar surface to the Earth and beyond.

作为太阳风中最主要的组成部分，它在1 au处吞噬了黄道平面上的地球，慢速太阳风（SSW）在塑造和确定地球上的环境以及大多数人造卫星都位于地球上的高层大气中起着重要作用。 但是，尽管所有致力于调查SSW的努力，但有关此类风的两个基本问题仍未得到解答：（1）SSW源于Corona的位置； （2）冠状血浆特性如何确定SSW的原位重离子组成？ 这个为期三年的Shine项目旨在表征SSW的冠状动脉起源，以回答这两个重要的科学问题。 项目团队将利用两种完全不同的技术研究SSW：当地风等离子体特性的原位测量以及遥感光谱或成像观测值。将这两种技术结合在一起时，可以成为一种强大的工具，使研究人员能够充分利用其研究SSW来源的潜力。 该项目将使太阳能研究界受益，并发挥重要的教育功能。 通过使用两种完全不同的测量技术，该项目将成为与有限互动并行合作的两个不同的太阳能物理社区之间的桥梁：原位社区和遥感社区，从而刺激新的交叉协作浪潮。 这项研究将在密歇根大学安阿伯大学进行，在那里它将通过大学的Urop计划和研究生教育来支持本科教育，并通过与我们系的研究生合作。 该项目还将支持一个年轻的女性博士后，从而帮助她在STEM学科中建立职业。 该项目的研究和EPO议程支持了AGS部门在发现，学习，多样性和跨学科研究方面的战略目标。这项为期3年的Shine项目旨在表征太阳风的起源。 为了实现这一目标，项目团队将利用ACE/SWICS和SWEPAM，ULYSSES/SWICS，SWOPS和WIND/WIND/SWE的原位测量值，并将分析与来自SOHO/MDI，SDO/SDO/HMI/HMI和HINODE的遥感数据相结合。 原位太阳风观测将根据其冠状动物类型进行分类，然后根据其原位特性进行分类。 反向跟踪方法将用于识别太阳上的相应源区域。 太阳风源区域的物理特性将使用光谱线强度确定。 该研究项目与NSF的Shine计划直接相关，因为它将提供有关太阳风的起源的重要知识。 这种知识对于从太阳能表面到地球及以后的太空天气条件进行准确建模和预测至关重要。