漫发射过程的光谱成分分析
Spectral components analysis of diffuse emission processes
摘要：
我们开发了一种新的方法来分离的漫发射过程的基础上与能谱的关联的组件。大多数现有的方法使用关于组分的空间分布的一些信息，例如，与外部模板的接近性、组件的独立性等，以便将它们分开。在本文中，我们提出了一种方法，其中一个把条件的光谱。我们的方法的优点是：1）它是内部的：组件的地图被构建为不同能量箱中的数据的组合，2）组件可以彼此相关，3）该方法是半盲的：在许多情况下，假设光谱的函数形式并从似然函数的最大化确定参数就足够了。作为一个例子，我们推导出的CMB地图和前景地图的七年的WMAP数据。在附录中，我们给出了该方法的一般化，其中还可以添加一些外部模板。
英文摘要：
We develop a novel method to separate the components of a diffuse emission process based on an association with the energy spectra. Most of the existing methods use some information about the spatial distribution of components, e.g., closeness to an external template, independence of components etc., in order to separate them. In this paper we propose a method where one puts conditions on the spectra only. The advantages of our method are: 1) it is internal: the maps of the components are constructed as combinations of data in different energy bins, 2) the components may be correlated among each other, 3) the method is semi-blind: in many cases, it is sufficient to assume a functional form of the spectra and determine the parameters from a maximization of a likelihood function. As an example, we derive the CMB map and the foreground maps for seven yeas of WMAP data. In an Appendix, we present a generalization of the method, where one can also add a number of external templates.
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