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arXiv 1104.2839astro-ph.GA
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从银河系的调查中提取科学

Extracting science from surveys of our Galaxy

James Binney

摘要:

我们对银河系的认识正因一系列的光度测量、光谱测量和天体测量而发生革命性的变化。已完成的调查已经提供了大量的数据,而且至少在本十年结束之前,将积累越来越高质量和越来越丰富的数据。为了从这些巡天中提取科学,我们需要一类模型,它可以给出巡天观测量空间中的概率密度函数--我们不应该试图将观测量空间的数据“反转”到银河系的物理空间中。目前只有一类模型具有所需的能力,即所谓的“环面模型”。一个试点应用环面模型来了解银河系的薄盘和厚盘的结构已经产生了两个重要的结果:一个重大的修订,我们最好的估计太阳的速度相对于当地标准的休息,并成功地预测的方式,其中垂直速度分散在光盘上的变化与距离银河平面。

英文摘要:

Our knowledge of the Galaxy is being revolutionised by a series of photometric, spectroscopic and astrometric surveys. Already an enormous body of data is available from completed surveys, and data of ever increasing quality and richness will accrue at least until the end of this decade. To extract science from these surveys we need a class of models that can give probability density functions in the space of the observables of a survey -- we should not attempt to "invert" the data from the space of observables into the physical space of the Galaxy. Currently just one class of model has the required capability, so-called "torus models". A pilot application of torus models to understanding the structure of the Galaxy's thin and thick discs has already produced two significant results: a major revision of our best estimate of the Sun's velocity with respect to the Local Standard of Rest, and a successful prediction of the way in which the vertical velocity dispersion in the disc varies with distance from the Galactic plane.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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