Early Stellar Evolution: The Synoptic View

早期恒星演化：综合观

• 批准号: 0507784
• 负责人: Bo Reipurth
• 金额: $ 30.95万
• 依托单位: University of Hawaii
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-01 至 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0507784&HistoricalAwards=false
• 关键词: Early; Stellar; Evolution; Synoptic; View

AST-0507784INSTITUTION: University of HawaiiPI: Bo ReipurthTITLE: Early Stellar Evolution: The Synoptic ViewABSTRACTDr. Bo Reipurth, at the University of Hawaii, has organized the "Variable Young Stars Optical Survey" (VYSOS), which consists of two identical 16 inch telescopes, in each of the northern and southern hemispheres (at Haleakala Observatory in Hawaii, and Cerro Armazones Observatory in Chile). The telescopes will be devoted to the task of systematically monitoring the most important star forming regions along the entire Galactic plane, to provide a synoptic view of early stellar evolution, in order to observe rare events that provide information on young stars as dynamic bodies. This award provides funding to employ graduate and undergraduate students to analyze and report on the large amount of data that the VYSOS project will produce. Dr. Reipurth is part of a team that is preparing research projects, using the 2m Faulkes Telescope at the Haleakala Observatory, for local Hawaiian schools. He will integrate the VYSOS project, as a feeder for Faulkes Telescope projects, and provide lectures and mentoring on science related to the VYSOS project. The dataset will be made available to the broader community, allowing for additional data-mining studies by other investigators.

AST-0507784研究：夏威夷大学：Bo ReiputhTITLE：早期恒星演化：天气学观点夏威夷大学的Bo ReiPurth组织了“可变年轻恒星光学测量”，该测量由两个相同的16英寸望远镜组成，分别位于南北半球(夏威夷的Haleakala天文台和智利的Cerro Armazones天文台)。这些望远镜将致力于系统地监测整个银河系平面上最重要的恒星形成区域，以提供早期恒星演化的概貌，以便观察提供年轻恒星作为动态天体的信息的罕见事件。该奖项为雇用研究生和本科生分析和报告VYSOS项目将产生的大量数据提供资金。ReiPurth博士是一个团队的成员，该团队正在为夏威夷当地的学校准备研究项目，该项目使用的是哈利阿卡拉天文台的2M福克斯望远镜。他将整合VYSOS项目，作为福克斯望远镜项目的支线，并提供与VYSOS项目相关的科学讲座和指导。数据集将提供给更广泛的社区，允许其他调查人员进行更多的数据挖掘研究。