Advanced Theory and Methods for Radio Spectral Diagnostics of Solar Flares

首席研究员（PI）将通过高分辨率无线电观测和复杂的理论建模相结合，研究太阳耀斑的热和非热射电发射。PI的项目小组打算开发新的分析方法和软件工具来处理成像无线电光谱数据，以提高现有无线电观测仪器（目前正在积极升级）的科学产出，以及未来仪器的产出。PI计划开发一些新的模型来利用最新的观测和理论，并为射电光谱成像数据的前拟合和测量诊断太阳耀斑区域的高能电子和等离子体参数创造新的方法。PI的前拟合反演方法与高分辨率成像光谱数据相结合，将使太阳界能够以前所未有的空间分辨率在动态时间尺度上推导耀斑的关键物理参数。这样的研究将直接解决太阳物理学中磁重联和粒子加速过程的基本问题。这项活动将包括加强对整个天体物理学学科的科学理解，因为能量释放和带电粒子加速的过程在大多数天体物理系统中是常见的。增加对太阳大气中能量释放、转化和转移的物理认识，直接适用于空间天气预报。由项目团队开发的用户友好软件将通过基于互联网的“SolarSoft”储存库广泛提供给太阳和空间气象界。该团队将通过新泽西理工学院的日地研究中心（CSTR）积极参与教学、培训和学习。本项目开发的软件工具将广泛应用于CSTR的太阳物理、射电天文学和等离子体物理等研究生课程。

The Principal Investigator (PI) will study thermal and nonthermal radio emission from solar flares through a combination of high resolution radio observations and sophisticated theoretical modeling. The PI's project team intends to develop new analytical methods and software tools for processing imaging radio spectroscopy data, in order to enhance the scientific output of existing radio observatory instruments (which are currently being actively upgraded), as well as the output of future instruments. The PI plans to develop a number of new models to exploit the latest observations and theories, and to create new methods for forward-fitting of radio spectroscopic imaging data and for measuring the diagnostics of high-energy electrons and plasma parameters in solar flaring regions. The PI's forward-fitting inversion methods, when combined with high-resolution imaging spectroscopy data, will enable the solar community to derive the key physical parameters of flares on dynamic time scales with unprecedented spatial resolution. Such investigations will directly address the fundamental questions of magnetic reconnection and particle acceleration processes in solar physics. This activity will include enhance scientific understanding throughout the discipline of astrophysics, since the processes of energy release and charged particle acceleration are common to most astrophysical systems. An increased understanding of the physics of energy release, transformation, and transfer in the solar atmosphere is directly applicable to space weather forecasting. The user-friendly software developed by the project team will be made widely available to the solar and space weather communities through the internet-based "SolarSoft" repository. The team will be actively involved in teaching, training, and learning through the Center for Solar-Terrestrial Research (CSTR) at the New Jersey Institute of Technology. The software tools created in this project will be widely used in graduate courses taught at CSTR in solar physics, radio astronomy, and plasma physics.