|
楼主 |
发表于 2010-9-13 11:15:28
|
显示全部楼层
Orbit@Home in Production Mode with Real Data
Orbit@Home开始处理真实的观测数据啦!
Submitted by tricaric on Sun, 09/12/2010 - 18:24.
We are pleased to announce that orbit@home is now in production mode. WUs are generated now at a rate of about 300,000 every week, each one requiring about one hour to complete on average personal computers. We plan to maintain this production rate for at least one month, and then reassess how to continue the research.
每周大概生成30万个任务,每个任务大概需要一小时左右完成。然后大概会至少持续运行一个月,之后再重新评估项目的发展方向。
At this moment the research of orbit@home uses real observational data from dedicated near-Earth objects (NEOs) surveys. These surveys have dedicated telescopes that observe every night (weather and moon allowing), and detect asteroids and comets in the solar system. Most detected objects are already known and cataloged, but occasionally a new object is discovered. Historical observational data is available covering over a decade, and orbit@home is using it to generate an high-resolution population of NEOs, that is, mapping not only the known ones, but also the probability distribution of the ones that are still unknown. When we complete this work, we will have a very clear idea not only of how many asteroids and comets with a given brightness (related to their size) are still unknown, but also how they are distributed in space, and this is a very precious information for NEOs surveys that try to discover them every night. In principle, it will be possible to "hunt down" the large NEOs (larger than about 1 km) that are still missing in the catalog of known asteroids, and then progressively continue the search to smaller ones.
现在分析的数据来自于专门针对NEO(近地天体)的巡天数据,专用的望远镜每晚都会进行观测(天气和月光允许的情况下),寻找太阳系内的小行星和彗星。大部分探测到的星体都是已经并且经过分类的,但偶尔也会碰到一些没发现过的星体。历史观测数据覆盖了十年的时间,orbit@home将分析这些数据来得到NEO的一个高清晰度的分布情况,这其中不止是那些已知的NEO,还有那些未知的NEO的分布几率。当我们完成这项工作后,我们将不仅能精确地了解到有多少特定亮度的小行星和彗星还没有观测到,还能了解到它们在太空中是怎么分布的,而这对于每晚进行的巡天NEO观测将有非常大的帮助。理论上,我们将能够发现所有尚未发现的大于一公里直径的NEO,在这之后再进一步寻找更小的那些NEO。
The complexity in tracking NEOs and describing their distribution probability has several sources: first of all, it's not simple to characterize how efficiently a telescope is observing every night, and how different factors play together in determining this; secondly, all asteroids move on different orbits, and when observed from the Earth, they all have different apparent rates of motion and directions, so their probability distributions keep stretching and moving on the sky plane. So doing this on a decade worth of observations, and for the whole NEOs population, is a very demanding computational problem, and tackling it could not have been possible without the help of tens of thousands of volunteers.
整个过程还是很复杂的,包括望远镜的观测效率受限于相当多的因素,天体的运行轨道也是多种多样,所以需要相当大的计算资源,如果没有上万志愿者的参与,这项工作将难以完成。
Preliminary results will be presented at the AAS Division for Planetary Sciences Meeting in October 2010.
初步的结果将在十月份的一次会议上进行说明。 |
评分
-
查看全部评分
|