Planck 2013 results. XV. CMB power spectra and likelihood
Planck collaboration: P. A. R. Ade, N. Aghanim, C. Armitage-Caplan, M., Arnaud, M. Ashdown, F. Atrio-Barandela, J. Aumont, C. Baccigalupi, A. J., Banday, R. B. Barreiro, J. G. Bartlett, E. Battaner, K. Benabed, A. Benoit,, A. Benoit-Levy, J.-P. Bernard, M. Bersanelli

TL;DR
The paper presents the Planck 2013 CMB power spectra and likelihood, providing a comprehensive statistical framework for analyzing temperature fluctuations and deriving cosmological parameters within the LCDM model.
Contribution
It introduces a complete likelihood model for Planck CMB data, covering a wide multipole range and validating results through extensive consistency tests.
Findings
Good agreement among high-l cross-spectra with residuals of a few μK^2
Broad agreement with foreground-cleaned maps and other Planck data
Standard LCDM cosmology is well constrained, with no significant deviations found
Abstract
We present the Planck likelihood, a complete statistical description of the two-point correlation function of the CMB temperature fluctuations. We use this likelihood to derive the Planck CMB power spectrum over three decades in l, covering 2 <= l <= 2500. The main source of error at l <= 1500 is cosmic variance. Uncertainties in small-scale foreground modelling and instrumental noise dominate the error budget at higher l's. For l < 50, our likelihood exploits all Planck frequency channels from 30 to 353 GHz through a physically motivated Bayesian component separation technique. At l >= 50, we employ a correlated Gaussian likelihood approximation based on angular cross-spectra derived from the 100, 143 and 217 GHz channels. We validate our likelihood through an extensive suite of consistency tests, and assess the impact of residual foreground and instrumental uncertainties on…
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