Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Bayesian ICA-based source separation of Cosmic Microwave Background by a
  discrete functional approximation   A functional approximation to implement Bayesian source separation analysis
is introduced and applied to separation of the Cosmic Microwave Background
(CMB) using WMAP data. The approximation allows for tractable full-sky map
reconstructions at the scale of both WMAP and Planck data and models the
spatial smoothness of sources through a Gaussian Markov random field prior. It
is orders of magnitude faster than the usual MCMC approaches. The performance
and limitations of the approximation are also discussed.

29
The categories of this paper are: funct-an
3
The categories of this paper are: physics
36
The categories of this paper are: cmp-lg
27
The categories of this paper are: comp-gas
20
The categories of this paper are: acc-phys
14
The categories of this paper are: math-ph
2
The categories of this paper are: math
0
The categories of this paper are: hep-ph
8
The categories of this paper are: hep-ex
30
The categories of this paper are: q-alg
17
The categories of this paper are: q-fin
12
The categories of this paper are: nucl-th
21
The categories of this paper are: adap-org
4
The categories of this paper are: cond-mat
15
The categories of this paper are: nucl-ex
26
The categories of this paper are: bayes-an