Bayesian ICA-based source separation of Cosmic Microwave Background by a discrete functional approximation

Details Bayesian ICA-based source separation of Cosmic Microwave Background by a discrete functional approximation Bayesian ICA-based source separation of Cosmic Microwave Background by a discrete functional approximation

2010-11-17

arxiv.org/abs/1011.4018v2

Astronomy and Astrophysics

Astrophysics

Cosmology and Extragalactic Astrophysics

12 pages, 4 figures

Scientific paper

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.

Affiliated with

Also associated with

No associations

Rating

Bayesian ICA-based source separation of Cosmic Microwave Background by a discrete functional approximation does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Bayesian ICA-based source separation of Cosmic Microwave Background by a discrete functional approximation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Bayesian ICA-based source separation of Cosmic Microwave Background by a discrete functional approximation will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-112967