FDSS: Faculty and Curricular Development at the Solar-stellar Informatics Cluster of Georgia State University

FDSS：佐治亚州立大学太阳-恒星信息学集群的师资和课程开发

• 批准号: 1936361
• 负责人: Petrus Martens
• 金额: $ 150万
• 依托单位: Georgia State University Research Foundation, Inc.
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-08-01 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1936361&HistoricalAwards=false
• 关键词: FDSS; Faculty; Curricular; Development; Solar

The goal of this 5-year Faculty Development in the Space Sciences (FDSS) project is to enable a new tenure track faculty position in the interdisciplinary Solar-Stellar Informatics (SSI) Cluster between the Departments of Physics & Astronomy and Computer Science at the Georgia State University (GSU). The goal is to attract a solar physicist with a strong background in numerical simulation of the magnetic field of the corona and heliosphere, plus an expertise in working with Big Data and Machine Learning, in order to leverage the SSI Cluster's effort in integrating machine learning and numerical simulation for the purpose of forecasting solar activity and space weather. The fast growing and ambitious SSI Cluster at the GSU provides a collaborative, results oriented, environment, which has attracted talented and diverse faculty, as well as a large number of outstanding and highly motivated graduate students. The GSU expects the new hire to have the desire to teach, mentor, and develop curriculum in heliophysics for a diverse student body within an innovative and multi-cultural educational environment. The assistant professor will join the faculty of the Department of Physics & Astronomy. Comprehensive mentoring and rigorous assessment of the junior faculty member's research and educational activities, according to established procedures in the College of Arts and Sciences, will foster the success of this initiative, culminating in the achievement of tenure at the end of the 5-year FDSS program. The SSI Cluster at the GSU has an established expertise in applying cutting-edge Big Data and Machine Learning techniques applied to the forecasting of solar flares and eruptions. One of the research goals of this 5-year FDSS program is to fully integrate its data analytics approach with sophisticated numerical simulation, where the two approaches synergistically increase the quality and efficiency of space weather forecasts, thereby leading to deeper understanding of the physical processes involved. The SSI Cluster already has a junior faculty member with expertise in global simulations of the solar/stellar interior, and studies of astrophysical turbulence and energetic particles. Adding to that an expert in simulating the magnetic field evolution of the solar corona and heliosphere will help the SSI Cluster achieve its critical mass of faculty members. The research of the SSI Cluster, purposely, has broader impacts in terms of mitigating the impact of natural disasters through timely forecasts. Integrating data analytics with numerical simulation has great promise for improving the quality and timeliness of solar storm prediction with the potential of saving the U.S. and other nations enormous amounts of financial resources through mitigation measures. In addition, the highly diverse nature of the GSU student body, the GSU's success in graduating minorities, and, likewise, the ethnic diversity and relative gender balance of the SSI Cluster and its student success, contribute to the expansion of a diverse and gender balanced STEM workforce. Continued SSI Cluster's growth stimulated by the faculty hire will further enhance this. The research and EPO agenda of this 5-year FDSS project supports the Strategic Goals of the AGS Division in discovery, learning, diversity, and interdisciplinary 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.

这个为期5年的空间科学教师发展（FDSS）项目的目标是使一个新的终身教职教师职位在跨学科的太阳-恒星信息学（SSI）集群之间的物理天文学和计算机科学系在格鲁吉亚州立大学（GSU）。 目标是吸引一位在日冕和日光层磁场数值模拟方面具有强大背景的太阳物理学家，以及在使用大数据和机器学习方面的专业知识，以利用SSI Cluster在整合机器学习和数值模拟方面的努力，以预测太阳活动和空间天气。 在GSU的快速增长和雄心勃勃的SSI集群提供了一个协作，以结果为导向的环境，这吸引了人才和多样化的教师，以及大量的优秀和积极主动的研究生。 GSU希望新员工能够在创新和多元文化的教育环境中为多元化的学生团体教授，指导和开发太阳物理学课程。 这位助理教授将加入物理天文学系。 根据艺术与科学学院的既定程序，对初级教师的研究和教育活动进行全面指导和严格评估，将促进这一举措的成功，最终在5年FDSS计划结束时实现终身教职。GSU的SSI集群在应用尖端的大数据和机器学习技术预测太阳耀斑和喷发方面拥有成熟的专业知识。 这个为期5年的FDSS计划的研究目标之一是将其数据分析方法与复杂的数值模拟完全结合起来，这两种方法协同提高空间天气预报的质量和效率，从而加深对所涉及的物理过程的理解。 SSI集群已经有了一名初级教员，他在太阳/恒星内部的全球模拟以及天体物理湍流和高能粒子的研究方面具有专业知识。 除此之外，模拟日冕和日光层磁场演变的专家将帮助SSI集群实现其教职员工的临界质量。 SSI集群的研究有目的地在通过及时预报减轻自然灾害影响方面产生更广泛的影响。 将数据分析与数值模拟相结合，对于提高太阳风暴预测的质量和及时性具有很大的希望，并有可能通过缓解措施为美国和其他国家节省大量的财政资源。 此外，GSU学生团体的高度多样性，GSU在少数民族毕业方面的成功，以及SSI集群的种族多样性和相对性别平衡及其学生的成功，有助于扩大多元化和性别平衡的STEM劳动力。 继续SSI集群的增长刺激的教师雇用将进一步加强这一点。 这个为期5年的FDSS项目的研究和EPO议程支持AGS部门在发现、学习、多样性和跨学科研究方面的战略目标。这个奖项反映了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。

项目成果

He i 10830 Å Dimming during Solar Flares. I. The Crucial Role of Nonthermal Collisional Ionizations

He i 10830 — 太阳耀斑期间变暗。

• DOI: 10.3847/1538-4357/abf42d
• 发表时间: 2021
• 期刊: The Astrophysical Journal
• 作者: Kerr, Graham S.;Xu, Yan;Allred, Joel C.;Polito, Vanessa;Sadykov, Viacheslav M.;Huang, Nengyi;Wang, Haimin
• 通讯作者: Wang, Haimin

Review of Solar Energetic Particle Models

• DOI: 10.1016/j.asr.2022.08.006
• 发表时间: 2022-08
• 期刊: Advances in Space Research
• 影响因子: 2.6
• 作者: K. Whitman;R. Egeland;I. G. Richardson;C. Allison;P. Quinn;J. Barzilla;I. Kitiashvili;V. Sadykov;H. Bain;M. Dierckxsens;M. Leila Mays;T. Tadesse;Kerry T. Lee;E. Semones;J. Luhmann;Marlon Núñez;S. White;S. Kahler;A. Ling;D. Smart;M. Shea;V. Tenishev;S. F. Boubrahimi;Berkay Aydin;Piet Martens;R. Angryk;M. Marsh;S. Dalla;N. Crosby;N. Schwadron;K. Kozarev;M. Gorby;M. Young;M. Laurenza;E. Cliver;T. Alberti;M. Stumpo;S. Benella;A. Papaioannou;A. Anastasiadis;I. Sandberg;M. Georgoulis;Anli Ji;Dustin J. Kempton;Chetraj Pandey;Gang Li;Junxiang Hu;G. Zank;E. Lavasa;G. Giannopoulos;D. Falconer;Yash Kadadi;Ian Fernandes;M. Dayeh;A. Muñoz-Jaramillo;Subhamoy Chatterjee;K. Moreland;I. Sokolov;I. Roussev;A. Taktakishvili;F. Effenberger;T. Gombosi;Zhenguang Huang;Lulu Zhao;N. Wijsen;À. Aran;S. Poedts;A. Kouloumvakos;Miikka Paassilita;R. Vainio;A. Belov;E. Eroshenko;M. Abunina;A. Abunin;C. Balch;O. Malandraki;M. Karavolos;B. Heber;J. Labrenz;P. Kühl;A. Kosovichev;Vincent Oria;G. Nita;E. Illarionov;Patrick M. O’Keefe-;Yucheng Jiang;Sheldon Fereira;Aatiya Ali;E. Paouris;S. Aminalragia-Giamini;P. Jiggens;M. Jin;Christina O. Lee;E. Palmerio;A. Bruno;Spiridon Kasapis;Xiantong Wang;Yang Chen;B. Sanahuja;D. Lario;C. Jacobs;D. Strauss;Ruhann Steyn;J. van den Berg;B. Swalwell;C. Waterfall;M. Nedal;R. Miteva;M. Dechev;P. Zucca;A. Engell;Brianna Maze;H. Farmer;Thuha Kerber;B. Barnett;Jeremy Loomis;N. Grey;B. J. Thompson;J. Linker;R. Caplan;C. Downs;T. Török;R. Lionello;V. Titov;Ming Zhang;Pouya Hosseinzadeh

Solar Flare Ribbon Fronts. I. Constraining Flare Energy Deposition with IRIS Spectroscopy

太阳耀斑丝带正面。

• DOI: 10.3847/1538-4357/acaf7c
• 发表时间: 2023
• 期刊: The Astrophysical Journal
• 作者: Polito, Vanessa;Kerr, Graham S.;Xu, Yan;Sadykov, Viacheslav M.;Lorincik, Juraj
• 通讯作者: Lorincik, Juraj

Feature Selection on a Flare Forecasting Testbed: A Comparative Study of 24 Methods

• DOI: 10.1109/icdmw53433.2021.00138
• 发表时间: 2021-09
• 期刊: 2021 International Conference on Data Mining Workshops (ICDMW)
• 作者: Atharv Yeoleka;Sagar Patel;Shreejaa Talla;Krishna Rukmini Puthucode;Azim Ahmadzadeh;V. Sadykov;R. Angryk

Leptocline as a shallow substructure of near-surface shear layer in 3D radiative hydrodynamic simulations

3D 辐射流体动力学模拟中作为近地表剪切层浅层子结构的轻斜层

• DOI: 10.1093/mnras/stac2946
• 发表时间: 2022
• 期刊: Monthly Notices of the Royal Astronomical Society
• 影响因子: 4.8
• 作者: Kitiashvili, Irina N;Kosovichev, A G;Wray, A A;Sadykov, V M;Guerrero, G
• 通讯作者: Guerrero, G