Making maps of the cosmic microwave background: The MAXIMA example
Making maps of the cosmic microwave background: The MAXIMA example
复制标题
绘制宇宙微波背景图：MAXIMA 示例
DOI：
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发表时间：
2001
期刊：
影响因子：
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通讯作者：
Jiun
中科院分区：
文献类型：
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作者：
R. Stompor;R. Stompor;A. Balbi;J. Borrill;J. Borrill;Pedro G. Ferreira;S. Hanany;A. Jaffe;Adrian T. Lee;Adrian T. Lee;Sang Oh;B. Rabii;P. Richards;G. Smoot;G. Smoot;C. Winant;Jiun
这项工作描述了宇宙微波背景(CMB)数据分析算法及其实现，开发该算法是为了从时间排序的数据中生成像素化的天空地图和对应的像素-像素噪声相关矩阵，用于CMB映射实验。我们依次讨论了从时序数据估计噪声性质的算法、处理时序数据的技术以及最大似然作图过程的一些变体。我们特别关注与实际CMB数据相关的问题，并提出了将它们纳入最大似然地图制作框架的方法。绘制天空地图不仅是绘制天空图像的中间步骤，而且是一个重要的诊断阶段，可以有效地执行系统影响的测试和/或消除。正在研究的案例是MAXEMA-I数据集。然而，所讨论的方法可望适用于当前和即将进行的其他CMB实验的分析。
This work describes cosmic microwave background (CMB) data analysis algorithms and their implementations, developed to produce a pixelized map of the sky and a corresponding pixel-pixel noise correlation matrix from time ordered data for a CMB mapping experiment. We discuss in turn algorithms for estimating noise properties from the time ordered data, techniques for manipulating the time ordered data, and a number of variants of the maximum likelihood map-making procedure. We pay particular attention to issues pertinent to real CMB data, and present ways of incorporating them within the framework of maximum likelihood map making. Making a map of the sky is shown to be not only an intermediate step rendering an image of the sky, but also an important diagnostic stage, when tests for and/or removal of systematic effects can efficiently be performed. The case under study is the MAXEMA-I data set. However, the methods discussed are expected to be applicable to the analysis of other current and forthcoming CMB experiments.