Multispacecraft Study of the Spatio-Temporal Variability of Solar Energetic Particles (SEP) Profiles in the Inner Heliosphere

内日光层太阳高能粒子 (SEP) 剖面时空变化的多航天器研究

• 批准号: 2325313
• 负责人: Bala Poduval
• 金额: $ 55.88万
• 依托单位: University of New Hampshire
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-07-15 至 2026-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2325313&HistoricalAwards=false
• 关键词: Multispacecraft; Study; Spatio; Temporal; Variability

Solar energetic particles (SEPs) are particles that are accelerated from the Sun in energetic events, such as solar flares and coronal mass ejections. They can move at relativistic speeds and when directed to the Earth, can cause space weather-related issues for human technology as well as radiation risks to humans. This project aims to gain better insights on SEP characteristics – including intensity, flux, and spatio-temporal evolution in the inner heliosphere. The research products will be made publicly available and the work is led by women. Undergraduate students will be mentored.The project investigates how the near-Sun characteristics of solar energetic particles (SEPs) and their spatio-temporal variability help determine their origin, acceleration and propagation in the inner heliosphere, and constrains modeling of the seed population from which they arise. Data sets from NASA’s Parker Solar Probe and Solar Orbiter will be used. Additionally, the Energetic Particle Radiation Environment Model (EPREM) will be used for simulating the SEP events and the Current Sheet Source Surface (CSSS) model used for mapping the PSP locations back to the Sun for establishing the magnetic connectivity. The three objectives of the study are: Obj 1: Obtain SEP Time Profiles (intensity, integral flux, fluence, spectral index and composition) at multiple locations in the heliosphere and investigate their temporal variability. Obj 2: Model Comparison - use the knowledge gained in Obj 1 to constrain the parameters of EPREM simulations of SEP transport in the steady solar wind and heuristic models of shocks and switchbacks. Obj 3: Preparation of AI-ready Data and Data Reconstruction using algorithms developed using techniques of artificial intelligence and following the recommendations of Poduval et al. 2022 for AI-ready data.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.

太阳能颗粒（SEP）是能量事件中太阳加速的颗粒，例如太阳耀斑和冠状质量弹出。它们可以以相对论的速度移动，并且在将其引导到地球上，可能会引起与人类技术的空间相关问题以及对人类的辐射风险。该项目旨在获得对SEP特征的更好见解，包括强度，通量和内部速度的时空演化。研究产品将公开提供，该工作由妇女领导。该项目将研究本科生。该项目研究了太阳能颗粒（SEP）及其空间变异性的近调特征如何有助于确定其内部气压层中其起源，加速和传播，并限制其产生的种子种群的建模。将使用来自NASA的Parker太阳能探测器和太阳轨道的数据集。此外，将使用能量颗粒辐射环境模型（EPREM）模拟SEP事件和用于将PSP位置映射回太阳的当前板源表面（CSSS）模型以建立磁连接性。该研究的三个目标是：OBJ 1：在Heliosphere的多个位置获得SEP时曲线（强度，积分通量，频谱，光谱指数和组成）并研究其临时变异性。 OBJ 2：模型比较 - 使用OBJ 1中获得的知识来限制稳定的太阳风中SEP传输的EPREM模拟的参数，以及冲击和折返的启发式模型。 OBJ 3：使用使用人工智能技术开发的算法并遵循Poduval等人的建议来制备AI-Ready数据和数据重建。 2022年，有关AI-Ready Data。该奖项反映了NSF的法定任务，并通过使用基金会的知识分子优点和更广泛的影响审查标准通过评估来诚实地获得支持。