GEO OSE Track 1: SUNCAST: Software Unified Collaboration for Advancing Solar Tomography

软件统一协作推进太阳层析成像（SUNCAST）项目旨在彻底改变对日冕体积的理解。日冕在空间环境中起着至关重要的作用，并可能影响技术基础设施（例如，电信）。SUNCAST将开发一个强大的软件框架，将尖端算法与地面和空间观测的高质量数据相结合。这一框架将为研究人员和公众提供对日冕物理多样性的前所未有的见解。通过使软件开源和用户友好，SUNCAST将使科学家，学生和教育工作者能够合作和探索太阳物理学的巨大潜力。该项目还将为学生和早期职业科学家提供培训机会，培养下一代太阳能研究人员。除了其科学意义外，SUNCAST还将对教育、多样性和加强太阳能研究基础设施产生更广泛的影响。该项目是在寻求了解太阳的复杂性及其对地球的影响方面的一个重大飞跃，SUNCAST项目旨在为日冕层析成像开发一个全面的开放源码软件框架。该框架将集成最先进的算法、多波长观测和先进的3D建模技术，为数据分析和建模创建一个集中式平台。通过将现有软件升级和扩展到基于云的高性能计算架构，SUNCAST将提高其可访问性、速度和效率，从而实现更广泛的使用和更快的结果。该软件的设计将采用现代软件工程做法，以确保其长期可持续性。通过利用团队和合作者开发的现有软件资源，SUNCAST将建立在专业知识和知识的坚实基础上。该软件的开放源码性质，加上其用户友好的界面，将促进研究人员之间的合作，并促进跨学科研究。插件架构将允许无缝集成用户贡献的定制代码，扩展框架的功能和实用性。SUNCAST还将提供培训计划，使研究人员具备有效利用软件的必要技能。通过这些努力，SUNCAST将推进太阳能断层扫描领域，促进最佳实践，并促进太阳能研究中多样化和熟练劳动力的发展。该奖项反映了NSF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。

The Software UNified Collaboration for Advancing Solar Tomography (SUNCAST) project aims to revolutionize the understanding of the solar corona volume. The solar corona plays a vital role in the space environment and can impact technological infrastructure (e.g., telecommunications). SUNCAST will develop a powerful software framework that combines cutting-edge algorithms with high-quality data from ground-based and space-based observations. This framework will provide researchers and the public with unprecedented insights into the physical diversity of the solar corona. By making the software open-source and user-friendly, SUNCAST will enable scientists, students, and educators to collaborate and explore the vast potential of solar physics. The project will also provide training opportunities for students and early career scientists, fostering the next generation of solar researchers. In addition to its scientific significance, SUNCAST will have broader impacts on education, diversity, and the enhancement of solar research infrastructure. This project offers a major leap in the quest to understand the complexities of the Sun and its impact on the Earth.The SUNCAST project aims to develop a comprehensive, open-source software framework for solar coronal tomography. This framework will integrate state-of-the-art algorithms, multi-wavelength observations, and advanced 3D modeling techniques to create a centralized platform for data analysis and modeling. By upgrading and scaling the existing software to a cloud-based, high-performance computing architecture, SUNCAST will enhance its accessibility, speed, and efficiency, enabling wider use and faster results. The software will be designed using modern software engineering practices to ensure its long-term sustainability. By leveraging existing software resources developed by the team and collaborators, SUNCAST will build upon a strong foundation of expertise and knowledge. The open-source nature of the software, combined with its user-friendly interface, will facilitate collaboration among researchers and promote interdisciplinary research. The plug-in architecture will allow seamless integration of user-contributed customized codes, expanding the functionality and utility of the framework. SUNCAST will also provide training programs to empower researchers with the necessary skills to utilize the software effectively. Through these efforts, SUNCAST will advance the field of solar tomography, promote best practices, and foster the development of a diverse and skilled workforce in solar research.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.