2010 Summer School in Statistical Inference for Astronomers; June 2010; Pennsylvania State University, College Park

AST-1019605 Babu 2010天文学家统计推断暑期班; 2010年6月;宾夕法尼亚州立大学，帕克学院天文学研究通常涉及对天空的成像，光度和光谱调查，产生TB到PB的数据库和十亿物体目录。 虽然前景是巨大的，但实现科学目标关键取决于使用统计推断提取有用的知识，特别是使用先进的统计方法。 因此，观测天文学家面临着比以往任何时候都更广泛的统计挑战，而不幸的是，大多数美国天文学家没有受过良好的统计训练，只能通过物理科学家编写的书籍学习基本方法。 这些卷通常只处理范围很窄的问题，在数理统计方面提供的概念基础不足，在高级应用统计方面的指导很少。 2010年为青年天文学家举办的为期八天的统计推断暑期班将介绍中级水平的概念和方法，并包括一个新的为期两天的关于天文调查统计方法和虚拟天文台工具使用的强化课程。 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。 经验丰富的统计学教授将教授一门创新的课程，并配有应用于天文数据集的动手软件教程。 这将对许多年轻研究人员的能力产生重大影响。

AST-1019605Babu2010 Summer School in Statistical Inference for Astronomers; June 2010; 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. While the promise is tremendous, 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 eight-day 2010 Summer School for young astronomers in statistical inference will present concepts and methodologies at an intermediate level, and includes a new two-day enhanced coverage of statistical methods for astronomical surveys and the use of Virtual Astronomical Observatory tools. 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. Experienced statistics professors will teach an innovative curriculum, accompanied by hands-on software tutorials with applications to astronomical datasets. This will have a substantial impact on the capabilities of many young researchers.