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从螺旋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: 2012-01-23
课程语种: 英语
中文简介:
我们已经创造了一种从螺旋星系图像中有效和自动地提取结构的方法。特别是,我们可以通过基于ARM段成员关系将像素聚集在一起来隔离“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特性,如总亮度、节角(即缠绕紧密度)和长度。这使我们能够提取出更多的全局属性,例如星系中手臂的平均俯仰角、缠绕方向以及棒和环的存在。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,我们与人类在手臂弯曲方向上的一致性与人类一致(超过95次)。我们提取的信息可以让我们回答这样一些有趣的问题:结构是如何随着宇宙的年龄演化的,结构是如何依赖于星系所在的局部环境的,以及它的结构是如何随着观测波长的变化而变化的。这个项目已经引起了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: 螺旋星系; 总光度; 俯仰角; 波长函数
课程来源: 视频讲座网
最后编审: 2020-06-02:毛岱琦(课程编辑志愿者)
阅读次数: 37