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Modeling Extragalactic Foregrounds and Secondaries for Unbiased Estimation of Cosmological Parameters From Primary CMB Anisotropy

机译:对无偏见的河外前景和次生建模   从初级CmB各向异性估算宇宙学参数

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摘要

Using the latest physical modeling and constrained by the most recent data,we develop a phenomenological parameterized model of the contributions tointensity and polarization maps at millimeter wavelengths from externalgalaxies and Sunyaev-Zeldovich effects. We find such modeling to be necessaryfor estimation of cosmological parameters from Planck data. For example,ignoring the clustering of the infrared background would result in a bias inn_s of 7 sigma. We show that the simultaneous marginalization over a fullforeground model can eliminate such biases, while increasing the statisticaluncertainty in cosmological parameters by less than 20%. The small increases inuncertainty can be significantly reduced with the inclusion ofhigher-resolution ground-based data. The multi-frequency analysis we employ involves modeling 46 total powerspectra and marginalization over 17 foreground parameters. We show that we canalso reduce the data to a best estimate of the CMB power spectra, and just twoprincipal components (with constrained amplitudes) describing residualforeground contamination.
机译:使用最新的物理模型并受最新数据的约束,我们开发了一种现象学参数化模型,该模型对外部星系和Sunyaev-Zeldovich效应对毫米波长处的强度和极化图的贡献进行了建模。我们发现这种建模对于从普朗克数据估算宇宙学参数而言是必要的。例如,忽略红外背景的聚类将导致7σ的偏差inn_s。我们表明,在全前景模型上同时边际化可以消除这种偏差,同时将宇宙学参数的统计不确定性增加不到20%。包含高分辨率的地面数据可以大大减少不确定性的小幅增加。我们采用的多频分析涉及对46个总功率谱建模以及对17个前景参数进行边缘化。我们表明,我们还可以将数据减少到CMB功率谱的最佳估计值,而仅用两个主要成分(幅度受约束)描述残留的地面污染。

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