2012 Summer School in Statistics for Astronomers

2012 年天文学家统计暑期学校

• 批准号: 1212302
• 负责人: Gutti Babu
• 金额: $ 2.43万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-03-15 至 2014-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1212302&HistoricalAwards=false
• 关键词: 2012; Summer; Statistics; Astronomers

2012 Summer School in Statistics for Astronomers; June 4-8 2012; Pennsylvania State University, College ParkAstronomical research often involves imaging, photometric and spectroscopic surveys of the sky that produce terabyte to petabyte databases and billion-object catalogs. This type of research will be coming to fruition in the near future with a new generation of formidable telescopes and the federation of diverse astronomical datasets. While the promise is great, achieving the scientific goals depends critically on extraction of useful knowledge using statistical inference, and especially the use of advanced statistical methods. Observational astronomers are thus confronting a wider range of statistical challenges than ever before, while unfortunately most U.S. astronomers are not well trained in statistics, learning only elementary methods through books written by and for physical scientists. Such volumes usually treat only a narrow range of problems, providing inadequate conceptual foundations in mathematical statistics and little guidance in advanced applied statistics. Statistics is an available technology that must be tapped to advance the needs of astronomy and astrophysics.The five-day 2012 Summer School for young astronomers in statistical inference will present concepts and methodologies at an intermediate level, using experienced instructors and an innovative curriculum. This is the latest in the series of intensive week-long Summer Schools in Statistics for Astronomers, initiated in 2005 by the group at Pennsylvania State. If maintained at a steady state, these Summer Schools will train about 10% of the nation's young astronomers, filling a critical lacuna in the US scientific workforce.

2012年天文学家统计学的暑期学校； 2012年6月4日至8日；宾夕法尼亚州立大学，大学帕克斯科研究通常涉及对天空的成像，光度和光谱调查，这些调查会产生tobyterte to petabyte数据库和十亿个目标目录。 新一代强大的望远镜和各种天文学数据集的联合会将在不久的将来实现这类研究。 尽管承诺是巨大的，但实现科学目标取决于使用统计推断，尤其是使用先进的统计方法来提取有用的知识。 因此，观察性天文学家比以往任何时候都面临着更广泛的统计挑战，虽然大多数美国天文学家在统计学方面没有接受过良好的培训，但仅通过撰写和物理科学家编写的书籍学习基本方法。 这样的卷通常仅处理狭窄的问题，从而提供数学统计数据中的概念基础不足，而高级应用统计中的指导很少。统计数据是一项可用的技术，必须利用，以促进天文学和天体物理学的需求。统计推断的五天暑期学校将使用经验丰富的教师和创新的课程来介绍中间级别的概念和方法。这是宾夕法尼亚州立大学于2005年发起的为期一周的高密集暑期学校的最新一项。如果保持稳定状态，这些暑期学校将培训该国约10％的年轻天文学家，并在美国科学劳动力中充满关键的空白。