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Reconstruction of the cosmic microwave background lensing for Planck

机译:普朗克宇宙微波背景透镜的重建

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Aims. We prepare real-life cosmic microwave background (CMB) lensing extraction with the forthcoming Plancksatellite data by studying two systematic effects related to theforeground contamination: the impact of foreground residuals after acomponent separation on the lensed CMB map, and the impact of removinga large contaminated region of the sky. Methods. We first use the generalized morphological componentanalysis (GMCA) method to perform a component separation within asimplified framework, which allows a high statistics Monte-Carlo study.For the second systematic, we apply a realistic mask on the temperaturemaps and then restore them with a recently developed inpaintingtechnique on the sphere. We investigate the reconstruction of the CMBlensing from the resultant maps using a quadratic estimator in the flatsky limit and on the full sphere. Results. We find that the foreground residuals from the GMCAmethod does not significantly alter the lensed signal, which is alsotrue for the mask corrected with the inpainting method, even in thepresence of point source residuals. Key words: cosmic microwave background - large-scale structure of Universe - gravitational lensing: weak - methods: statistical
机译:目的通过研究与前景污染相关的两个系统效应,我们利用即将来临的Plancksatellite数据准备了现实的宇宙微波背景(CMB)透镜提取:组分分离后对透镜CMB图的前景残留的影响以及去除大污染区域的影响天空。方法。我们首先使用广义形态成分分析(GMCA)方法在简化的框架内进行成分分离,从而可以对蒙特卡洛进行高统计研究;对于第二个系统化系统,我们在温度图上应用了真实的蒙版,然后使用最新的方法对其进行了还原在球体上开发了绘画技术。我们在平面极限和整个球面上使用二次估计量,从结果图上研究了CMBlensing的重构。结果。我们发现,来自GMCA方法的前景残差不会显着改变透镜信号,即使使用点源残差,对于用修复方法校正的蒙版也是如此。关键词:宇宙微波背景-宇宙的大规模结构-引力透镜:弱-方法:统计

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