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Journal ArticleDOI

Correlated Noise in the COBE DMR Sky Maps

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TLDR
In this paper, the amplitude and pattern of the correlated noise from three techniques: angular averages of the covariance matrix, Monte Carlo simulations of two-point correlation functions and direct analysis of the DMR maps are mutually consistent.
Abstract
The Cosmic Background Explorer Satellite Differential Radiometer (COBE DMR) sky maps contain low-level correlated noise. We obtain estimates of the amplitude and pattern of the correlated noise from three techniques: angular averages of the covariance matrix, Monte Carlo simulations of two-point correlation functions and direct analysis of the DMR maps. The results from the three methods are mutually consistent. The noise covariance matrix of a DMR sky maps is diagonal to an accuracy of better than 1%. For a given sky pixel, the dominant noise covariance occure with the ring of pixels at an angular separation of 60 deg due to the 60 deg separation of the DMR horns. The mean covariance at 60 deg is 0.45%((sup +0.18)(sub -0.14)) of the mean variance. Additionally, the variance in a given pixel is 0.7% greater than would be expected from a single beam experiment with the same noise properties. Autocorrelation functions suffer from a approximately 1.5 sigma positive bias at 60 deg while cross-correlations have no bias. Published COBE DMR results are not significantly affected by correlated noise.

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Journal ArticleDOI

Karhunen-Loève Eigenvalue Problems in Cosmology: How Should We Tackle Large Data Sets?

TL;DR: In this article, a comprehensive discussion of methods for estimating cosmological parameters from large data sets, including the previously published techniques as special cases, is presented, and it is shown that both the problem of estimating several parameters jointly and the problem that not knowing the parameters a priori can be readily solved by adding an extra singular value decomposition step.
Journal ArticleDOI

The 4 Year COBE Normalization and Large-Scale Structure

TL;DR: In this paper, the authors present an analysis of the 4-year data from the COBE DMR experiment and use a Karhunen-Loeve expansion of the pixel data to calculate the normalization and goodness of a range of models of structure formation.
Journal ArticleDOI

Power spectrum of primordial inhomogeneity determined from the four year COBE DMR sky maps

TL;DR: In this paper, the authors applied Fourier analysis and power spectrum estimation of the cosmic microwave background anisotropy on an incompletely sampled sky developed by Gorski has been applied to the 4 yr COBE DMR 31.5, 53, and 90 GHz sky maps.
Journal ArticleDOI

Two-Point Correlations in the COBE DMR Four-Year Anisotropy Maps

TL;DR: In this article, the two-point temperature correlation function is evaluated from the 4 yr COBE DMR microwave anisotropy maps, which is the Legendre transform of the angular power spectrum, and the data are statistically consistent from channel to channel and frequency to frequency.
Journal ArticleDOI

2-Point Correlations in the COBE DMR 4-Year Anisotropy Maps

TL;DR: In this article, the 2-point temperature correlation function is evaluated from the 4-year COBE DMR microwave anisotropy maps, which is the Legendre transform of the angular power spectrum, and the data are statistically consistent from channel to channel and frequency to frequency.
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