Correlated Errors in the COBE DMR Sky Maps

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

11 pages + 3 figures, post-script file

Scientific paper

10.1086/174920

The {\it 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 map is diagonal to an accuracy of better than 1\%. For a given sky pixel, the dominant noise covariance occurs 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 $0.45\% ^{+0.18}_{-0.14}$ 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. Auto-correlation functions suffer from a $\sim 1.5\; \sigma$ positive bias at $60 \deg$ while cross-correlations have no bias. Published {\it COBE} DMR results are not significantly affected by correlated noise. COBE pre-print 94-

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Correlated Errors in the COBE DMR Sky Maps does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Correlated Errors in the COBE DMR Sky Maps, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Correlated Errors in the COBE DMR Sky Maps will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-336602

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.