Using Scaling Laws to Constrain Magneto-Thermal Coupling in Active Regions of the Sun with Multi-wavelength Microwave Imaging

利用缩放定律通过多波长微波成像来约束太阳活动区域的磁热耦合

• 批准号: 2206424
• 负责人: Gregory Fleishman
• 金额: $ 62.04万
• 依托单位: New Jersey Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2206424&HistoricalAwards=false
• 关键词: Using; Scaling; Laws; Constrain; Magneto

A research team from the New Jersey Institute of Technology advance our understanding of how the solar corona is heated. Many mechanisms for energy release in the solar corona have been proposed. This project would examine both thermal and magnetic properties of solar active regions and their connection to the solar corona. The project will be carried out using observations from the Extended Owens Valley Solar Array (EOVSA) combined with 3D numerical simulations. This project meets NSF’s mission to advance science by tackling a fundamental problem in solar physics. It also contributes to understanding of the solar environment, which contributes to the national priority to better understand space weather. The project includes participation by high school and graduate students and makes use of the GX Simulator, which has already proved successful in engaging students in research. Specifically, this project will address the coupling of thermal and magnetic structures from active regions (ARs) to the corona. This will be achieved by modeling coronal magnetic fields and plasma properties, which will then be compared with observations. The 3D structure of the coronal magnetic field will be quantified. AR evolution will be examined by combining maps of the coronal magnetic field with thermal plasma and validating these maps with data from EOVSA and space-based sources. These 3D maps will then be used to constrain scaling laws, which will be investigated for constraints on the coronal heating mechanisms. Finally, this will be used to examine how magnetic field energy accumulated and evolves. The codes employed include the Automated Model Production Pipeline (AMPP) for generating 3D models of ARs, a stand-alone Non-Linear Force Free Field (NLFFF) code, and the above mentioned GX Simulator.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.

来自新泽西理工学院的一个研究小组推进了我们对太阳日冕如何被加热的理解。人们提出了许多日冕能量释放的机制。这个项目将研究太阳活动区域的热和磁性以及它们与日冕的联系。该项目将使用扩展欧文斯谷太阳能阵列（EOVSA）的观测数据，结合3D数值模拟进行。这个项目符合NSF的使命，即通过解决太阳物理学中的一个基本问题来推进科学。它还有助于了解太阳环境，这有助于更好地了解空间天气。该项目包括高中生和研究生的参与，并使用GX模拟器，该模拟器已被证明在吸引学生参与研究方面取得了成功。具体来说，该项目将解决从活跃区（ARs）到日冕的热和磁结构的耦合问题。这将通过模拟日冕磁场和等离子体特性来实现，然后将其与观测结果进行比较。日冕磁场的三维结构将被量化。通过将日冕磁场图与热等离子体相结合，并使用来自EOVSA和天基源的数据验证这些图，将检查AR的演变。这些3D地图将被用来约束尺度定律，这将被用于研究日冕加热机制的约束。最后，这将用于研究磁场能量是如何积累和演变的。所使用的代码包括用于生成ar的3D模型的自动化模型生产管道（AMPP），独立的非线性力自由场（NLFFF）代码和上述GX模拟器。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Magnetic Reconnection Rate in the M6.5 Solar Flare on 2015 June 22

• DOI: 10.3847/1538-4357/accf9f
• 发表时间: 2023-06
• 期刊: The Astrophysical Journal
• 作者: Bryce Cannon;J. Jing;Qin Li;Nian Liu;Jeongwoo Lee;W. Cao;Haimin Wang

A Comparative Study of Solar Active Region 12371 with Data-constrained and Data-driven Magnetohydrodynamic Simulations

• DOI: 10.3847/2041-8213/acb7f4
• 发表时间: 2023-01
• 期刊: The Astrophysical Journal Letters
• 作者: S. Inoue;Keijin Hayashi;T. Miyoshi;J. Jing;Haimin Wang

Prospects and challenges of numerical modeling of the Sun at millimeter wavelengths

• DOI: 10.3389/fspas.2022.967878
• 发表时间: 2022-11
• 作者: S. Wedemeyer;G. Fleishman;J. de la Cruz Rodríguez;S. Gunár;J. M. da Silva Santos;P. Antolin;J. C. Guevara Gómez;M. Szydlarski;H. Eklund

Characterizing 3D Magnetic Structures in Sunspot Light Bridges

• DOI: 10.3847/1538-4357/acd44f
• 发表时间: 2023-07
• 期刊: The Astrophysical Journal
• 作者: J. Jing;Nian Liu;Jeongwoo Lee;Yan Xu;W. Cao;Haimin Wang

Data-constrained Solar Modeling with GX Simulator

使用 GX Simulator 进行数据约束太阳能建模

• DOI: 10.3847/1538-4365/acd343
• 发表时间: 2023
• 期刊: The Astrophysical Journal Supplement Series
• 作者: Nita, Gelu M.;Fleishman, Gregory D.;Kuznetsov, Alexey A.;Anfinogentov, Sergey A.;Stupishin, Alexey G.;Kontar, Eduard P.;Schonfeld, Samuel J.;Klimchuk, James A.;Gary, Dale E.
• 通讯作者: Gary, Dale E.