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Emory F. Bunn
Researcher at University of Richmond
Publications - 108
Citations - 2454
Emory F. Bunn is an academic researcher from University of Richmond. The author has contributed to research in topics: Cosmic microwave background & Interferometry. The author has an hindex of 27, co-authored 105 publications receiving 2342 citations. Previous affiliations of Emory F. Bunn include Bates College & St. Cloud State University.
Papers
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Journal ArticleDOI
The Four-Year COBE Normalization and Large-Scale Structure
Emory F. Bunn,Martin White +1 more
TL;DR: In this paper, the authors present an analysis of the four-year data from the COBE DMR experiment and use a Karhunen-Loeve expansion of the pixel data to calculate the normalization and goodness-of-fit of a range of models of structure formation.
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E/B decomposition of finite pixelized CMB maps
TL;DR: In this article, a method for decomposing an arbitrary sky map into a sum of three orthogonal components that are termed ''pure E,'' ''pure B'' and ''ambiguous'' is presented.
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A Brute Force Analysis of the COBE DMR Data
Max Tegmark,Emory F. Bunn +1 more
TL;DR: In this article, the authors compare different techniques and compare them to a ''brute force'' likelihood analysis where they invert the full 4038 x 4038 Galaxy-cut pixel covariance matrix, and find that the latter are consistent with the brute force analysis and have error bars that are nearly as small as the minimal error bars.
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How Anisotropic is Our Universe
TL;DR: Large-scale cosmic microwave background anisotropies in homogeneous, globally anisotropic cosmologies are investigated and primordial anisotropy should have been fine tuned to be less than 10{sup {minus}3} of its natural value in the Planck era.
Journal ArticleDOI
A brute force analysis of the COBE DMR data
Max Tegmark,Emory F. Bunn +1 more
TL;DR: In this article, the authors compare different techniques and compare them to a ''brute force'' likelihood analysis where they invert the full 4038 x 4038 Galaxy-cut pixel covariance matrix, and find that the latter are consistent with the brute force analysis and have error bars that are nearly as small as the minimal error bars.