Novel statistical methods and their applications in Galaxies and Cosmology
中国科学院云南天文台学术报告通知
2025年第39期
报告题目:Novel statistical methods and their applications in Galaxies and Cosmology
报告人:袁尊理 教授
报告人单位:湖南师范大学
报告语言:中文
报告时间:2025年8月4日(星期一)14:30-15:30
报告摘要:
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In this talk, two interesting statistical methods, namely kernel density estimation (KDE) and the Copula method, will be introduced. These are two potent statistical tools that have emerged in modern statistics and are extensively employed in areas such as finance and hydrology. However, their utilization in astronomy remains relatively limited. In recent years, we have meticulously examined the application of these two methods in Galaxies and Cosmology. For instance, the Copula method has been used to estimate the radio core luminosity function of active galactic nuclei, to study the radio-infrared correlation of star-forming galaxies, and to explore its application in cosmological constant estimation. Additionally, a luminosity function calculation method based on the principle of kernel density estimation has been developed. Grounded on these efforts, two Python software packages, kdeLF and Ascopy, have been developed. Besides presenting the aforementioned work, this report will also investigate some other potential application scenarios of these two statistical methods.
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报告人简介:
袁尊理,湖南师范大学“潇湘学者”特聘教授,博士生导师,湖南省“杰出青年基金”获得者。2013年在中国科学院云南天文台获得理学博士学位,2013年8月-2021年9月在云南天文台工作,在此期间曾入选了2020年云南省高层次人才培养支持计划“青年拔尖人才”专项。2021年9月加入湖南师范大学;2022年9月至12月,在英国皇家学会国际交流计划资助下,赴牛津大学天文系开展访问交流。研究方向包括星系与活动星系核、天文统计方法,现为SKA先导项目MIGHTEE国际合作组成员。
云台邀请方:星系类星体研究团组
邀请方联系人:安芳霞
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