A MARKOV CHAIN MONTE CARLO ALGORITHM FOR ANALYSIS OF LOW SIGNAL-TO-NOISE COSMIC MICROWAVE BACKGROUND DATA-Reference-Cited by-同舟云学术

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A MARKOV CHAIN MONTE CARLO ALGORITHM FOR ANALYSIS OF LOW SIGNAL-TO-NOISE COSMIC MICROWAVE BACKGROUND DATA

Published:2009-05-01 Issue:1 Volume:697 Page:258-268
ISSN:0004-637X
Container-title:The Astrophysical Journal
language:
Short-container-title:ApJ

Author:

Jewell J. B.,Eriksen H. K.,Wandelt B. D.,O'Dwyer I. J.,Huey Greg,Górski K. M.

Publisher

American Astronomical Society

Subject

Space and Planetary Science,Astronomy and Astrophysics

Reference25 articles.

1. First‐Year Wilkinson Microwave Anisotropy Probe ( WMAP ) Observations: Preliminary Maps and Basic Results

2. The Joint Large-Scale Foreground-CMB Posteriors of the 3 Year WMAP Data

3. Bayesian Analysis of the Low-Resolution Polarized 3 Year WMAP Sky Maps

4. Joint Bayesian Component Separation and CMB Power Spectrum Estimation

5. MARGINAL DISTRIBUTIONS FOR COSMIC VARIANCE LIMITED COSMIC MICROWAVE BACKGROUND POLARIZATION DATA

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