MODELING EXTRAGALACTIC FOREGROUNDS AND SECONDARIES FOR UNBIASED ESTIMATION OF COSMOLOGICAL PARAMETERS FROM PRIMARY COSMIC MICROWAVE BACKGROUND ANISOTROPY

被引：22

作者：

Millea, M. ^{[1
]}

Dore, O. ^{[2
,3
]}

Dudley, J. ^{[4
]}

Holder, G. ^{[4
]}

Knox, L. ^{[1
]}

Shaw, L. ^{[5
]}

Song, Y-S. ^{[6
]}

Zahn, O. ^{[7
,8
]}

机构：

[1] Univ Calif Davis, Dept Phys, Davis, CA 95616 USA

[2] CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA

[3] CALTECH, Pasadena, CA 91125 USA

[4] McGill Univ, Dept Phys, Montreal, PQ H3A 2T8, Canada

[5] Yale Univ, Dept Phys, New Haven, CT 06520 USA

[6] Korea Inst Adv Study, Seoul 130722, South Korea

[7] Univ Calif Berkeley, Dept Phys, Berkeley Ctr Cosmol Phys, Berkeley, CA 94720 USA

[8] Lawrence Berkeley Natl Labs, Berkeley, CA 94720 USA

来源：

ASTROPHYSICAL JOURNAL | 2012年 / 746卷 / 01期

基金：

美国国家航空航天局; 美国国家科学基金会;

关键词：

cosmological parameters; cosmology: observations; cosmology: theory; distance scale; large-scale structure of universe; ZELDOVICH POWER SPECTRUM; SOUTH-POLE TELESCOPE; STAR-FORMING GALAXIES; HIGH-FREQUENCY; PATCHY REIONIZATION; POLARIZATION; CMB; SIMULATIONS; CLUSTERS; IMPACT;

D O I：

10.1088/0004-637X/746/1/4

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

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 ns of 7s in the context of an eight-parameter cosmological model. 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 cosmic microwave background power spectra, with just two principal components (with constrained amplitudes) describing residual foreground contamination.

引用

页数：17

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