圆扫描实验的反卷积制图方法
A deconvolution map-making method for experiments with circular scanning strategies
摘要：
目标。研究反卷积制图算法在圆扫描实验中的性能，特别是在普朗克数据分析的情况下，并量化使用简化近似真实光束制图的效果。方法.我们提出了一种制图算法的实现，该算法允许对温度和偏振数据进行组合处理，并消除仪器效应，例如探测器时间常数和有限采样间隔，以及对任意复杂光束的反卷积来自地图。该方法可应用于任何具有循环扫描策略的实验。结果低分辨率的实验被用来证明这种方法的能力，以消除任意光束的影响，从地图上，并证明忽略光束不对称的地图上的效果。此外，结果提出了一个现实的全尺寸模拟数据集的普朗克LFI 30 GHz信道的分析。结论.我们的方法成功地消除了光束的影响的地图，虽然它是计算昂贵的，普朗克LFI数据的分析应该是可行的，这种方法。
英文摘要：
Aims. To investigate the performance of a deconvolution map-making algorithm for an experiment with a circular scanning strategy, specifically in this case for the analysis of Planck data, and to quantify the effects of making maps using simplified approximations to the true beams. Methods. We present an implementation of a map-making algorithm which allows the combined treatment of temperature and polarisation data, and removal of instrumental effects, such as detector time constants and finite sampling intervals, as well as the deconvolution of arbitrarily complex beams from the maps. This method may be applied to any experiment with a circular scanning-strategy. Results. Low-resolution experiments were used to demonstrate the ability of this method to remove the effects of arbitrary beams from the maps and to demonstrate the effects on the maps of ignoring beam asymmetries. Additionally, results are presented of an analysis of a realistic full-scale simulated data-set for the Planck LFI 30 GHz channel. Conclusions. Our method successfully removes the effects of the beams from the maps, and although it is computationally expensive, the analysis of the Planck LFI data should be feasible with this approach.
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