scispace - formally typeset
E

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
More filters
Journal ArticleDOI

The Four-Year COBE Normalization and Large-Scale Structure

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.
Journal ArticleDOI

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.
Journal ArticleDOI

A Brute Force Analysis of the COBE DMR Data

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.
Journal ArticleDOI

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, +1 more
- 01 Dec 1994 - 
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.