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Monte Carlo Algorithms for a Bayesian Analysis of the Cosmic Microwave BackgroundA viewgraph presentation on the review of Bayesian approach to Cosmic Microwave Background (CMB) analysis, numerical implementation with Gibbs sampling, a summary of application to WMAP I and work in progress with generalizations to polarization, foregrounds, asymmetric beams, and 1/f noise is given.
Document ID
20060051439
Acquisition Source
Jet Propulsion Laboratory
Document Type
Preprint (Draft being sent to journal)
External Source(s)
hdl:2014/39659
Authors
Jewell, Jeffrey B. (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Eriksen, H. K. (Oslo Univ. Norway)
ODwyer, I. J. (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Wandelt, B. D. (Illinois Univ. Urbana-Champaign, IL, United States)
Gorski, K. (Illinois Univ. Urbana-Champaign, IL, United States)
Knox, L. (Illinois Univ. Urbana-Champaign, IL, United States)
Chu, M.
Date Acquired
August 23, 2013
Publication Date
January 1, 2006
Subject Category
Space Radiation
Meeting Information
Meeting: Fundamental Physics with Cosmic Microwave Background Radiation Workshop
Location: Irvine, CA
Country: United States
Start Date: March 23, 2006
Distribution Limits
Public
Copyright
Other
Keywords
Bayesian inference
Gibbs sampling
statistical methods
cosmic microwave background

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