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Simulation of the analysis of interferometric microwave background polarization data

Published online by Cambridge University Press:  01 July 2015

Emory F. Bunn ,
Ata Karakci ,
Paul M. Sutter ,
Le Zhang ,
Gregory S. Tucker ,
Peter T. Timbie  and
Benjamin D. Wandelt
Emory F. Bunn
Affiliation:
University of Richmond, USA email: ebunn@richmond.edu
Ata Karakci
Affiliation:
Brown University, USA
Paul M. Sutter
Affiliation:
Ohio State University, USA Institut d'Astrophysique de Paris, France
Le Zhang
Affiliation:
University of Wisconsin – Madison, USA
Gregory S. Tucker
Affiliation:
Brown University, USA
Peter T. Timbie
Affiliation:
University of Wisconsin – Madison, USA
Benjamin D. Wandelt
Affiliation:
Institut d'Astrophysique de Paris, France
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Abstract

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We present results from an end-to-end simulation pipeline of interferometric observations of cosmic microwave background polarization. We use both maximum-likelihood and Gibbs sampling techniques to estimate the power spectrum. In addition, we use Gibbs sampling for image reconstruction from interferometric visibilities. The results indicate the level to which various systematic errors (e.g., pointing errors, gain errors, beam shape errors, cross polarization) must be controlled in order to successfully detect and characterize primordial B modes and achieve other scientific goals. In addition, we show that Gibbs sampling is an effective method of image reconstruction for interferometric data in other astrophysical contexts.

Keywords

cosmology: cosmic microwave backgroundtechniques: interferometricmethods: statistical
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 10 , Symposium S306: Statistical Challenges in 21st Century Cosmology , May 2014 , pp. 156 - 158
Copyright
Copyright © International Astronomical Union 2015 

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