Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Bayesian Inference of Polarized CMB Power Spectra from Interferometric
  Data   Detection of B-mode polarization of the cosmic microwave background (CMB)
radiation is one of the frontiers of observational cosmology. Because they are
an order of magnitude fainter than E-modes, it is quite a challenge to detect
B-modes. Having more manageable systematics, interferometers prove to have a
substantial advantage over imagers in detecting such faint signals. Here, we
present a method for Bayesian inference of power spectra and signal
reconstruction from interferometric data of the CMB polarization signal by
using the technique of Gibbs sampling. We demonstrate the validity of the
method in the flat-sky approximation for a simulation of an interferometric
observation on a finite patch with incomplete uv-plane coverage, a finite beam
size and a realistic noise model. With a computational complexity of
O(n^{3/2}), n being the data size, Gibbs sampling provides an efficient method
for analyzing upcoming cosmology observations.

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The categories of this paper are: quant-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: patt-sol
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The categories of this paper are: q-bio
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The categories of this paper are: math
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The categories of this paper are: comp-gas
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The categories of this paper are: hep-ex
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The categories of this paper are: cond-mat
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The categories of this paper are: nucl-ex
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The categories of this paper are: solv-int
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The categories of this paper are: chao-dyn
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The categories of this paper are: dg-ga
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The categories of this paper are: acc-phys
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The categories of this paper are: stat
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The categories of this paper are: gr-qc
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The categories of this paper are: eess