2013 Summer School in Statistics for Astronomers

2013年天文学家统计暑期学校

• 批准号: 1304920
• 负责人: Gutti Babu
• 金额: $ 2.86万
• 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: 2013
• 资助国家: 美国
• 起止时间: 2013-02-15 至 2015-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1304920&HistoricalAwards=false
• 关键词: 2013; Summer; Statistics; Astronomers

2013 Summer School in Statistics for Astronomers; June 3-7 2013; Pennsylvania State University, College ParkModern astronomical research often involves organizing vast surveys of imaging, photometric and spectroscopic data producing terabyte to petabyte databases and billion-object catalogs. An alphabet soup of time-domain surveys underway in visible light, and a new generation of radio interferometric telescopes, will soon be producing enormous datasets. While the promise is great, the scientific goals cannot be achieved with the narrow suite of statistical methods and old-fashioned labor-intensive approaches in common use by the astronomical community. Modern statistical procedures implemented with computationally efficient algorithms are essential. However, due to the structure of undergraduate and graduate curricula, U.S. astronomers are generally not well trained in statistics. Most learn elementary methods through books written by and for physical scientists and covering only a narrow range of problems, providing inadequate conceptual foundations in mathematical statistics and little guidance to vast fields of applied statistics.The five-day 2013 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.

2013年天文学家统计暑期学校; 2013年6月3日至7日;宾夕法尼亚州立大学，学院公园现代天文学研究通常涉及组织大量的成像，光度和光谱数据调查，产生TB到PB的数据库和十亿物体目录。 在可见光下进行的时域调查的字母汤，以及新一代的无线电干涉望远镜，将很快产生巨大的数据集。 虽然前景很好，但科学目标无法通过天文学界常用的统计方法和老式的劳动密集型方法来实现。 用计算效率高的算法实现的现代统计程序是必不可少的。 然而，由于本科和研究生课程的结构，美国天文学家通常没有受过良好的统计学训练。大多数人通过由物理科学家编写或为物理科学家编写的书籍学习基本方法，这些书籍只涉及范围很窄的问题，在数理统计方面提供的概念基础不足，对应用统计的广泛领域几乎没有指导。2013年为期五天的青年天文学家统计推断暑期学校将使用经验丰富的教师和创新的课程介绍中级水平的概念和方法。这是2005年由宾夕法尼亚州立大学的小组发起的为期一周的天文学家统计学暑期学校系列中的最新一期。如果保持稳定，这些暑期学校将培训全国约10%的年轻天文学家，填补美国科学劳动力的关键空白。