Planck 2015 results. X. Diffuse component separation: Foreground maps
Planck Collaboration: R. Adam, P. A. R. Ade, N. Aghanim, M. I. R., Alves, M. Arnaud, M. Ashdown, J. Aumont, C. Baccigalupi, A. J. Banday, R. B., Barreiro, J. G. Bartlett, N. Bartolo, E. Battaner, K. Benabed, A. Beno\^it,, A. Benoit-L\'evy, J.-P. Bernard, M. Bersanelli

TL;DR
This paper presents a Bayesian approach to separate and map diffuse astrophysical components in the Planck 2015 microwave sky data, providing detailed full-sky maps of various emissions with high accuracy.
Contribution
It introduces a comprehensive Bayesian framework for component separation in microwave sky maps, combining Planck, WMAP, and other data to produce consistent full-sky emission maps.
Findings
High-quality full-sky maps of CMB, synchrotron, free-free, spinning dust, CO, and thermal dust emissions.
Residual temperature errors are below 4 μK over 93% of the sky.
Identified main limitations and systematic issues affecting polarization and temperature models.
Abstract
Planck has mapped the microwave sky in nine frequency bands between 30 and 857 GHz in temperature and seven bands between 30 and 353 GHz in polarization. In this paper we consider the problem of diffuse astrophysical component separation, and process these maps within a Bayesian framework to derive a consistent set of full-sky astrophysical component maps. For the temperature analysis, we combine the Planck observations with the 9-year WMAP sky maps and the Haslam et al. 408 MHz map to derive a joint model of CMB, synchrotron, free-free, spinning dust, CO, line emission in the 94 and 100 GHz channels, and thermal dust emission. Full-sky maps are provided with angular resolutions varying between 7.5 arcmin and 1 deg. Global parameters (monopoles, dipoles, relative calibration, and bandpass errors) are fitted jointly with the sky model, and best-fit values are tabulated. For polarization,…
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