.png){kind=icon}
返回
Morphometric analysis in gamma-ray astronomy using Minkowski functionals Source detection via structure quantification
.png){kind=icon}
OA
AI
DOI：10.1051/0004-6361/201321136.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Aims. H.E.S.S. observes an increasing number of large extended sources. A new technique based on the structure of the sky map is developed to account for these additional structures by comparing them with the common point source analysis. Methods. Minkowski functionals are powerful measures from integral geometry. They can be used to quantify the structure of the counts map, which is then compared with the expected structure of a pure Poisson background. Gamma-ray sources lead to significant deviations from the expected background structure. The standard likelihood ratio method is exclusively based on the number of excess counts and discards all further structure information of large extended sources. The morphometric data analysis incorporates this additional geometric information in an unbiased analysis, i.e., without the need of any prior knowledge about the source. Results. We have successfully applied our method to data of the H.E.S.S. experiment. The morphometric analysis presented here is dedicated to detecting faint extended sources.
Keyword:
methods: data analysis
methods: statistical
techniques: image processing
gamma rays: diffuse background
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
5.8
论文数:
5.0W
被引数:
18.3W
机构
引用论文
A high performance likelihood reconstruction of γ-rays for imaging atmospheric Cherenkov telescopesOAAI
OAAI分享收藏Legionella pneumophila regulates host cell motility by targeting Phldb2 with a 14-3-3ζ-dependent protease effector.png)
eLife
OAAI
eLifeIF0
OAAI分享收藏分享收藏分享收藏
查看更多内容