2015 Summer School in Statistics for Astronomers

2015年天文学家统计学暑期学校

• 批准号: 1523283
• 负责人: Gutti Babu
• 金额: $ 3.4万
• 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: 2015
• 资助国家: 美国
• 起止时间: 2015-06-01 至 2017-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1523283&HistoricalAwards=false
• 关键词: 2015; Summer; Statistics; Astronomers

2015 Summer School in Statistics for Astronomers; June 1-5 2015; Pennsylvania State University, University Park, State College, PAPenn State's very popular astrostatistics summer school has trained over 635 total participants since its inauguration in 2005. If maintained at a steady state, this activity will train about 10% of the nation's young astronomers, providing critical skills to the US scientific workforce. Oriented towards graduate students and young researchers, participants receive an intense immersion in statistical methodology taught by highly skilled instructors. The three-pronged curriculum provides instruction in the underlying principles of modern statistics, exposure to advanced methodologies useful in astronomy, and hands-on training in statistical software. Attendees come away with a much heightened expertise in statistics and its applications to their science, a better understanding of how to teach this material to others, and a fine appreciation for the value and meaning of statistics in science. The instructors have devoted considerable effort to adapting the course material to their audience, and the curriculum continues to evolve. The formal textbook based on this curriculum was published in 2012.Although the dominant mode of observational astronomy in the 20th century involved an individual observing a few celestial objects to investigate the properties of well-defined classes of source, during the 21st century, enormous resources are being poured into telescopes devoted to wide-field astronomy. This has led to a proliferation of projects that survey large parts of the visible sky, with even more coming online over the next few years. 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, receiving inadequate conceptual foundations in mathematical statistics, and getting little guidance in advanced applied statistics. Statistics is an available technology that must be tapped to advance the needs of astronomy and astrophysics.The 2015 Summer School in statistical inference for young astronomers will present concepts and methodologies at an intermediate level, using experienced instructors and an innovative curriculum. Lectures are accompanied by hands-on software R tutorials, and training in high performance cluster computing with applications to astronomical datasets. The Penn State Research Computing & Cyberinfrastructure Group, and its Institute for CyberScience, are providing technical manpower and partially supporting the high-performance computing.

2015年天文学家统计暑期学校; 2015年6月1日至5日;宾夕法尼亚州立大学，大学公园，州立学院，PAPenn州立大学非常受欢迎的天体统计学暑期学校自2005年成立以来已培训了635名参与者。 如果保持稳定，这项活动将培训全国约10%的年轻天文学家，为美国科学工作者提供关键技能。 面向研究生和年轻的研究人员，参与者接受由高技能教师教授的统计方法的强烈沉浸。 三管齐下的课程提供现代统计学基本原则的指导，接触天文学中有用的先进方法，以及统计软件的实践培训。 与会者在统计学及其在科学中的应用方面具有更高的专业知识，更好地了解如何将这些材料教授给他人，以及对统计学在科学中的价值和意义的良好理解。 教员们作出了相当大的努力，使教材适合他们的听众，课程也在继续发展。 基于这一课程的正式教科书于2012年出版。虽然在20世纪，观测天文学的主导模式涉及个人观测一些天体，以研究定义明确的源类的性质，但在21世纪，大量资源正在投入到致力于宽视场天文学的望远镜中。 这导致了对可见天空大部分区域进行调查的项目的激增，未来几年将有更多的项目上线。 虽然前景很好，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在统计学方面没有受过良好的训练，只学习了基本的方法，在数理统计学方面没有得到足够的概念基础，并且在高级应用统计学方面几乎没有得到指导。 统计是一种可用的技术，必须利用它来推进天文学和天体物理学的需求。2015年为年轻天文学家举办的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论。 讲座伴随着动手软件R教程，以及高性能集群计算与天文数据集应用的培训。 宾夕法尼亚州立大学研究计算网络基础设施小组及其网络科学研究所正在提供技术人力，并部分支持高性能计算。