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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