Large-Scale Polarized Foreground Component Separation for Planck
We use Bayesian component estimation methods to examine the prospects for large-scale polarized map and cosmological parameter estimation with simulated Planck data assuming simplified white noise properties. The sky signal is parametrized as the sum of the CMB, synchrotron emission, and thermal dus...
| Main Authors: | , , , |
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| Format: | Journal article |
| Published: |
2011
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