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从旋涡星系图像中提取结构信息

Extracting Structural Information from Images of Spiral Galaxies
课程网址: http://videolectures.net/nipsworkshops2011_hayes_extracting/  
主讲教师: Wayne Hayes
开课单位: 加利福尼亚大学
开课时间: 2012-06-23
课程语种: 英语
中文简介:
我们创造了一种从旋涡星系图像中高效自动提取结构的方法。特别是,我们可以通过基于臂段成员关系的像素聚类来分离“螺旋臂段”。然后我们可以自动和客观地提取螺旋臂段的特定属性,如总亮度、节距角(又名缠绕紧密度)和长度。这使我们能够提取出更多的全局属性,例如星系中臂的平均俯仰角、缠绕方向以及棒环的存在。据我们所知,这是第一次。与银河动物园项目(基于人类的分类)的比较表明,我们在手臂弯曲方向上与人类的观点一致,与人类彼此认同的程度差不多(超过95次)。我们所提取的信息也许能让我们回答一些有趣的问题,比如结构如何随着宇宙年龄的增长而演变,结构如何依赖于星系所处的局部环境,以及它的结构如何随观测到的波长而变化。这个项目已经引起了许多天文学家的兴趣和合作
课程简介: We have created a method for the efficient and automatic extraction of structure from images of spiral galaxies. In particular, we can isolate ”spiral arm segments” by clustering pixels together based on arm segment membership. We can then automatically and objectively extract specific properties of spiral arm segments such as total luminosity, pitch angle (aka winding tightness), and length. This allows us to extract more global properties such as average pitch angle of the arms in a galaxy, winding direction, and existence of bars and rings. As far as we are aware this is a first. Comparisons with the Galaxy Zoo project (human-based classifications) indicate that we agree with humans on the winding direction of the arms at about the same level as humans agree with each other (more than 95the time). The information that we extract may allow us to answer such interesting questions as how structure evolves with the age of the universe, how structure depends on the local environment in which a galaxy resides, and how its structure changes as a function of the wavelength in which it is observed. The project has already garnered much interest and collaborations with astronomers.
关 键 词: 漩涡星系图像; 结构信息; 螺旋臂端
课程来源: 视频讲座网
数据采集: 2020-11-30:yxd
最后编审: 2020-11-30:yxd
阅读次数: 37