Collaborative Research: ANSWERS: The Satellite Surface Charging Observatory for Prediction, Understanding, Learning, and Industry

合作研究：答案：用于预测、理解、学习和工业的卫星表面充电观测站

• 批准号: 2149783
• 负责人: Erin Furtak
• 金额: $ 50.39万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-05-01 至 2026-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2149783&HistoricalAwards=false
• 关键词: Collaborative; Research; ANSWERS; Satellite; Surface

Earth is surrounded by electrons and ions that create beautiful auroral displays but are also a hazard for satellites. These particles collect on satellite surfaces causing the satellite to charge to high levels. A sudden discharge can cause a damaging surge in electronic components and cause the satellite to behave in unexpected ways or completely stop responding. The SCOPULI project will investigate the physical mechanisms that produce this hazardous charged particle environment, educate society about the causes and effects of these charging events, and build tools to help government and industry prevent damaging impacts to our satellite infrastructure. SCOPULI is a collaborative project between the University of California Los Angeles, the University of Colorado Boulder, Space Hazards Applications, and Space Weather Solutions. The project will develop physics- and machine-learning based models that span the solar wind and magnetosphere, and provide estimates of energetic (eV to keV) electron flux to predict spacecraft surface charging hazards. Models of electron population and of electric and magnetic fields, in combination with injection events with existing data products via data assimilation and machine learning, will be leveraged to develop a charging environment prediction capability. The models will allow users to provide their own satellite specifics, thus allowing for new or non-standard designs to be tested and provided charging predictions. The team will develop curriculum materials and interactive simulations with science teachers (grades 6-12), as well as industry-ready tools for real-time specification of space weather. A postdoc and graduate students will be involved in all aspects of the project. ANSWERS projects advance the nation’s STEM expertise and societal resilience to space weather hazards by filling key knowledge gaps regarding the coupled Sun-Earth system.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

地球被电子和离子包围，这些电子和离子会产生美丽的极光显示，但这些粒子聚集在卫星表面，导致卫星充电到高水平，可能会导致电子元件出现破坏性的浪涌，从而导致卫星坠毁。 SCOPULI 项目将研究产生这种危险带电粒子环境的物理机制，教育社会了解这些带电事件的原因和影响，并构建工具来帮助政府和工业界防止对环境造成破坏性影响。我们的卫星基础设施。这是加州大学洛杉矶分校、科罗拉多大学博尔德分校、Space Hazards Applications 和 Space Weather Solutions 之间的合作项目，该项目将开发基于物理和机器学习的模型，涵盖太阳风和磁层，并提供对太阳风和磁层的估计。将利用高能（eV 至 keV）电子通量来预测航天器表面充电危险的模型，并通过数据同化和机器学习将注入事件与现有数据产品相结合。预言这些模型将允许用户提供自己的卫星细节，从而允许测试新的或非标准的设计并提供收费预测。该团队将与科学教师（6-12 年级）一起开发课程材料和交互式模拟。以及用于实时规范太空天气的行业就绪工具，博士后和研究生将参与该项目的各个方面，通过填补关键知识空白，提高国家的 STEM 专业知识和社会应对太空天气灾害的能力。关于耦合的日地系统。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。