期刊
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
卷 376, 期 2, 页码 739-758出版社
OXFORD UNIV PRESS
DOI: 10.1111/j.1365-2966.2007.11470.x
关键词
methods : data analysis; cosmic microwave background; cosmology : observations
We presert in this paper the PolEMICA (Polarized Expectation-Maximization Independent Component Analysis) algorithm which is an extension to polarization of the SMICA (Spectral Matching Independent Component Analysis) temperature multidetectorsmulticomponents (MD-MC) component separation method. This algorithm allows us to estimate blindly in harmonic space multiple physical components from multidetectors polarized sky maps. Assuming a linear noisy mixture of components we are able to reconstruct jointly the anisotropies electromagnetic spectra of the components for each mode T, E and B, as well as the temperature and polarization spatial power spectra, TT, EE, BB, TE, TB and EB for each of the physical components and for the noise on each of the detectors. PolEMICA is specially developed to estimate the cosmic microwave background (CMB) temperature and polarization power spectra from sky observations including both CMB and foreground emissions. This has been tested intensively using as a first approach full-sky simulations of the Planck satellite polarized channels for a 14-month nominal mission assuming a simplified linear sky model including CMB, and optionally Galactic synchrotron emission and a Gaussian dust emission. Finally, we have applied our algorithm to more realistic Planck full-sky simulations, including synchrotron, realistic dust and free-free emissions.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据