A highly accurate method for estimating luminosity functions and its Python implementation
Yuan ZL(袁尊理)
2021-12-03
会议日期2021-12-03
会议地点中国四川南充
关键词光度函数 核密度估计
其他题名A highly accurate method for estimating luminosity functions and its Python implementation
英文摘要Luminosity function(LF) is a very fundamental statistic,which provides one of the most important tools to probe the distribution and evolution of galaxies and active galactic nuclei(AGNs) over cosmic time.But the traditional LF methods all have more or less disadvantages.We propose a flexible method for estimating luminosity functions(LFs)based on kernel density estimation(KDE),the most popular nonparametric density estimation approach developed in modern statistics.To implement our method,we have developed a public,open-source Python Toolkit,called kdeLF.With the support of kdeLF,our KDE method is expected to be a competitive alternative to existing nonparametric estimators,due to its high accuracy and excellent stability.
产权排序第1完成单位
会议录中国天文学会2021年学术年会摘要集
资助机构N/A
学科主题天文学 ; 星系与宇宙学 ; 星系形成与演化 ; 天体物理学 ; 高能天体物理学
分类号P152
语种中文
内容类型会议论文
源URL[http://ir.ynao.ac.cn/handle/114a53/25127]  
专题云南天文台_高能天体物理研究组
作者单位云南天文台
推荐引用方式
GB/T 7714
Yuan ZL. A highly accurate method for estimating luminosity functions and its Python implementation[C]. 见:. 中国四川南充. 2021-12-03.
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