Bayesian noise estimation for non-ideal CMB experiments

@inproceedings{Wehus2011BayesianNE,
  title={Bayesian noise estimation for non-ideal CMB experiments},
  author={I. Wehus and S. Naess and H. Eriksen},
  year={2011}
}
  • I. Wehus, S. Naess, H. Eriksen
  • Published 2011
  • Physics
  • We describe a Bayesian framework for estimating the time-domain noise covariance of CMB observations, typically parametrized in terms of a 1/f frequency profile. This framework is based on the Gibbs sampling algorithm, which allows for exact marginalization over nuisance parameters through conditional probability distributions. In this paper we implement support for gaps in the data streams and marginalization over fixed time-domain templates, and also outline how to marginalize over confusion… CONTINUE READING
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