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年天文学家统计学的暑期学校； 2013年6月3日至7日；宾夕法尼亚州立大学，大学公园式天文学研究通常涉及组织大量成像，光度和光谱数据的调查，从而生产Terabyte到PBABYTE数据库以及数十亿个目标目录。 在可见光中正在进行时域调查的字母汤以及新一代的无线电干预望远镜，很快就会生产出巨大的数据集。 尽管诺言是巨大的，但科学目标无法通过狭窄的统计方法和老式的劳动密集型方法来实现，天文学群落常用。 使用计算高效算法实施的现代统计程序至关重要。 但是，由于本科生和研究生课程的结构，美国天文学家通常在统计数据方面受过良好的培训。大多数通过由物理科学家编写的书籍和仅涵盖狭窄的问题的书籍学习基本方法，在数学统计数据中提供不足的概念基础，对应用程序统计的广泛领域的指导很小。统计推理的五天暑期学校将使用经验丰富的导师和一家知名度的友好的概念来呈现统计推理的概念和方法。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。