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arXiv 1507.02704astro-ph.CO
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Planck 2015结果XI。参数的CMB功率谱、似然性和稳健性

Planck 2015 results. XI. CMB power spectra, likelihoods, and robustness of parameters

Planck Collaboration, N. Aghanim, M. Arnaud, M. Ashdown, J. Aumont, C. Baccigalupi, A. J. Banday, R. B. Barreiro, J. G. Bartlett, N. Bartolo, E. Battaner, K. Be… 展开作者

Planck Collaboration, N. Aghanim, M. Arnaud, M. Ashdown, J. Aumont, C. Baccigalupi, A. J. Banday, R. B. Barreiro, J. G. Bartlett, N. Bartolo, E. Battaner, K. Benabed, A. Benoît, A. Benoit-Lévy, J. -P. Bernard, M. Bersanelli, P. Bielewicz, J. J. Bock, A. Bonaldi, L. Bonavera, J. R. Bond, J. Borrill, F. R. Bouchet, F. Boulanger, M. Bucher, C. Burigana, R. C. Butler, E. Calabrese, J. -F. Cardoso, A. Catalano, A. Challinor, H. C. Chiang, P. R. Christensen, D. L. Clements, L. P. L. Colombo, C. Combet, A. Coulais, B. P. Crill, A. Curto, F. Cuttaia, L. Danese, R. D. Davies, R. J. Davis, P. de Bernardis, A. de Rosa, G. de Zotti, J. Delabrouille, F. -X. Désert, E. Di Valentino, C. Dickinson, J. M. Diego, K. Dolag, H. Dole, S. Donzelli, O. Doré, M. Douspis, A. Ducout, J. Dunkley, X. Dupac, G. Efstathiou, F. Elsner, T. A. Enßlin, H. K. Eriksen, J. Fergusson, F. Finelli, O. Forni, M. Frailis, A. A. Fraisse, E. Franceschi, A. Frejsel, S. Galeotta, S. Galli, K. Ganga, C. Gauthier, M. Gerbino, M. Giard, E. Gjerløw, J. González-Nuevo, K. M. Górski, S. Gratton, A. Gregorio, A. Gruppuso, J. E. Gudmundsson, J. Hamann, F. K. Hansen, D. L. Harrison, G. Helou, S. Henrot-Versillé, C. Hernández-Monteagudo, D. Herranz, S. R. Hildebrandt, E. Hivon, W. A. Holmes, A. Hornstrup, K. M. Huffenberger, G. Hurier, A. H. Jaffe, W. C. Jones, M. Juvela, E. Keihänen, R. Keskitalo, K. Kiiveri, J. Knoche, L. Knox, M. Kunz, H. Kurki-Suonio, G. Lagache, A. Lähteenmäki, J. -M. Lamarre, A. Lasenby, M. Lattanzi, C. R. Lawrence, M. Le Jeune, R. Leonardi, J. Lesgourgues, F. Levrier, A. Lewis, M. Liguori, P. B. Lilje, M. Lilley, M. Linden-Vørnle, V. Lindholm, M. López-Caniego, J. F. Macías-Pérez, B. Maffei, G. Maggio, D. Maino, N. Mandolesi, A. Mangilli, M. Maris, P. G. Martin, E. Martínez-González, S. Masi, S. Matarrese, P. R. Meinhold, A. Melchiorri, M. Migliaccio, M. Millea, S. Mitra, M. -A. Miville-Deschênes, A. Moneti, L. Montier, G. Morgante, D. Mortlock, S. Mottet, D. Munshi, J. A. Murphy, A. Narimani, P. Naselsky, F. Nati, P. Natoli, F. Noviello, D. Novikov, I. Novikov, C. A. Oxborrow, F. Paci, L. Pagano, F. Pajot, D. Paoletti, B. Partridge, F. Pasian, G. Patanchon, T. J. Pearson, O. Perdereau, L. Perotto, V. Pettorino, F. Piacentini, M. Piat, E. Pierpaoli, D. Pietrobon, S. Plaszczynski, E. Pointecouteau, G. Polenta, N. Ponthieu, G. W. Pratt, S. Prunet, J. -L. Puget, J. P. Rachen, M. Reinecke, M. Remazeilles, C. Renault, A. Renzi, I. Ristorcelli, G. Rocha, M. Rossetti, G. Roudier, B. Rouillé d'Orfeuil, J. A. Rubiño-Martín, B. Rusholme, L. Salvati, M. Sandri, D. Santos, M. Savelainen, G. Savini, D. Scott, P. Serra, L. D. Spencer, M. Spinelli, V. Stolyarov, R. Stompor, R. Sunyaev, D. Sutton, A. -S. Suur-Uski, J. -F. Sygnet, J. A. Tauber, L. Terenzi, L. Toffolatti, M. Tomasi, M. Tristram, T. Trombetti, M. Tucci, J. Tuovinen, G. Umana, L. Valenziano, J. Valiviita, F. Van Tent, P. Vielva, F. Villa, L. A. Wade, B. D. Wandelt, I. K. Wehus, D. Yvon, A. Zacchei, A. Zonca

摘要:

本文介绍了普朗克2015似然,CMB数据的2点相关性的统计描述,使用以前采用的混合方法:基于像素的$\ell<30$和高斯近似的光谱分布在更高的$\ell$。主要的改进是使用更多和更好的处理数据和普朗克偏振数据,以及更详细的前景和仪器模型,允许进一步检查和增强对系统学的免疫力。前景建模方面的进展使天空部分更大。处理和仪器模型的改进进一步减少了不确定性。对于温度,我们对输入数据处理管道的端到端仪器模拟进行了分析;这并没有揭示剩余仪器系统学的偏差。$Λ$ CDM宇宙学模型继续提供一个非常好的适合普朗克数据。原始标量涨落的斜率,$n_s$,被证实小于单位,从普朗克单独超过5σ。我们进一步验证了对基线宇宙学的特定扩展的鲁棒性。例如,在一个示例中,中微子种类的有效数与3.046的规范值保持一致。第一次详细分析普朗克偏振集中在E模式。在低$\ell$时,我们使用所有频率下的温度和偏振子集。频率范围改善了CMB前景分离。在基线模型中,这需要一个再电离光学深度$τ=0.078\pm0.019$,显着低于没有明确的灰尘监测高频数据。在高$\ell$时,我们检测到E中的残留误差,通常为O($μ$ K $^2$);我们建议仅将温度作为高$\ell$基线。尽管如此,普朗克高$\ell$极化允许单独确定$Λ$ CDM参数与那些从温度单独一致。

英文摘要:

This paper presents the Planck 2015 likelihoods, statistical descriptions of the 2-point correlations of CMB data, using the hybrid approach employed previously: pixel-based at $\ell<30$ and a Gaussian approximation to the distribution of spectra at higher $\ell$. The main improvements are the use of more and better processed data and of Planck polarization data, and more detailed foreground and instrumental models, allowing further checks and enhanced immunity to systematics. Progress in foreground modelling enables a larger sky fraction. Improvements in processing and instrumental models further reduce uncertainties. For temperature, we perform an analysis of end-to-end instrumental simulations fed into the data processing pipeline; this does not reveal biases from residual instrumental systematics. The $Λ$CDM cosmological model continues to offer a very good fit to Planck data. The slope of primordial scalar fluctuations, $n_s$, is confirmed smaller than unity at more than 5σ from Planck alone. We further validate robustness against specific extensions to the baseline cosmology. E.g., the effective number of neutrino species remains compatible with the canonical value of 3.046. This first detailed analysis of Planck polarization concentrates on E modes. At low $\ell$ we use temperature at all frequencies and a subset of polarization. The frequency range improves CMB-foreground separation. Within the baseline model this requires a reionization optical depth $τ=0.078\pm0.019$, significantly lower than without high-frequency data for explicit dust monitoring. At high $\ell$ we detect residual errors in E, typically O($μ$K$^2$); we recommend temperature alone as the high-$\ell$ baseline. Nevertheless, Planck high-$\ell$ polarization allows a separate determination of $Λ$CDM parameters consistent with those from temperature alone.

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