Operation and Application of High-Resolution Full-Disk Global Halpha Network

首席研究员（PI）召集了一个国际合作组织，以运行一个高分辨率、全盘、全球H-alpha望远镜网络（GHN），全天候监测太阳活动。2000年，美国国家科学基金会授予该网络包括位于美国、中国和奥地利的三个站点。这项工作将继续这种合作，并在不增加费用的情况下将网络扩大到7个监测站。这7个观测站分别是美国的大熊太阳观测站（BBSO）、奥地利的Kanzelhöhe太阳观测站（KSO）、法国的默东天文台和picdu - midi天文台、中国的云南天文台（YNAO）和怀柔太阳观测站（HSOS）以及意大利的卡塔尼亚天体物理观测站（CAO）。PI的团队将继续运行GHN，以便为日地界提供有价值的数据，并开展有关太阳灯丝、耀斑和日冕物质抛射（cme）的研究项目。GHN将补充一些NASA任务的运行，如Hinode （Solar- b）、STEREO（太阳地球关系观测站）和SDO（太阳动力学观测站）。PI还将研究磁重联在穿越日冕进入行星际空间的大规模太阳爆发中的重要作用。GHN的国际方面对改进全球空间天气观测和预报很重要。该项目将支持一些使用GHN数据进行论文工作的博士生。一名本科生将在夏季参加BBSO观测，并在学年期间进行研究。GHN数据处理使用人工智能技术，该技术是由太阳物理学、计算机科学和数学领域的学生和教师合作开发的。

The Principal Investigator (PI) has assembled an international collaboration to operate a high resolution, full-disk, global H-alpha telescope network (GHN), to monitor solar activity round-the-clock. A prior NSF award in 2000 allowed the network to include three stations in the United States, China, and Austria. This effort will continue that collaboration and extend the network to seven stations without additional cost. These seven stations are at Big Bear Solar Observatory (BBSO) in the United States, Kanzelhöhe Solar Observatory (KSO) in Austria, Meudon Observatory and Pic-du-Midi Observatory in France, Yunnan Astronomical Observatory (YNAO) and Huairou Solar Observing Station (HSOS) in China, and Catania Astrophysical Observatory (CAO) in Italy. The PI's team will continue to operate GHN in order to provide valuable data to the solar-terrestrial community and to carry out research programs on solar filaments, flares, and coronal mass ejections (CMEs). GHN will be complementary to the operation of a number of NASA missions, such as Hinode (Solar-B), STEREO (Solar TErrestrial RElations Observatory), and SDO (Solar Dynamics Observatory). The PI will also investigate the important role of magnetic reconnection in large scale solar eruptions that travel through the corona and into interplanetary space.The international aspect of GHN is important for improving global space weather observations and forecasts. This project will support a number of Ph.D. students who are using GHN data for their thesis work. An undergraduate student will participate in BBSO observations during the summer and carry out research during the academic year. GHN data processing uses artificial intelligence techniques developed within a multidisciplinary collaboration among students and faculty working in solar physics, computer sciences, and mathematics.