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arXiv 1102.5195astro-ph.CO
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根据原始CMB各向异性对宇宙学参数无偏估计的河外前景和秒变的模拟

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

Marius Millea, Olivier Doré, Jonathan Dudley, Gilbert Holder, Lloyd Knox, Laurie Shaw, Yong-Seon Song, Oliver Zahn

摘要:

利用最新的物理模型和约束的最新数据,我们开发了一个唯象参数化模型的贡献强度和偏振映射在毫米波长的外部星系和Sunyaev-Zeldovich效应。我们发现这样的建模是必要的宇宙学参数从普朗克数据的估计。例如,忽略红外背景的聚类将导致7 σ的n_s偏差。我们表明,在一个完整的前景模型的同时边缘化可以消除这种偏见,同时增加宇宙学参数的统计不确定性不到20%。通过纳入更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个总功率谱进行建模,并对17个前景参数进行边缘化。我们表明,我们也可以减少数据的CMB功率谱的最佳估计,只有两个主成分(与约束幅度)描述残留的前景污染。

英文摘要:

Using the latest physical modeling and constrained by the most recent data, we develop a phenomenological parameterized model of the contributions to intensity and polarization maps at millimeter wavelengths from external galaxies and Sunyaev-Zeldovich effects. We find such modeling to be necessary for estimation of cosmological parameters from Planck data. For example, ignoring the clustering of the infrared background would result in a bias in n_s of 7 sigma. We show that the simultaneous marginalization over a full foreground model can eliminate such biases, while increasing the statistical uncertainty in cosmological parameters by less than 20%. The small increases in uncertainty can be significantly reduced with the inclusion of higher-resolution ground-based data. The multi-frequency analysis we employ involves modeling 46 total power spectra and marginalization over 17 foreground parameters. We show that we can also reduce the data to a best estimate of the CMB power spectra, and just two principal components (with constrained amplitudes) describing residual foreground contamination.

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