图 书 馆
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: | 加州大学尔湾分校 |
| 开课时间: | 2012-01-23 |
| 课程语种: | 英语 |
| 中文简介: |  我们创建了一种从螺旋星系的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隶属度将像素聚类在一起来隔离“螺旋臂段”。然后，我们可以自动客观地提取出螺旋臂段的特定属性，例如总亮度，俯仰角（又称绕组紧密度）和长度。这使我们能够提取更多全局属性，例如星系中臂的平均俯仰角，缠绕方向以及条和环的存在。据我们所知，这是第一个。与银河动物园项目（基于人的分类）的比较表明，我们在手臂的上弦方向上与人达成共识的程度与人类彼此达成共识的水平大致相同（超过95次）。我们提取的信息可能使我们能够回答一些有趣的问题，例如结构如何随着宇宙的年龄而演化，结构如何取决于星系所处的局部环境以及其结构如何随波长的变化而变化。它被观察到。该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: | 从旋涡星系图像中提取结构信息 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2020-09-28：zkj |
| 最后编审: | 2020-10-22：chenxin |
| 阅读次数: | 10 |