Topology of large-scale structure in the 2dF Galaxy Redshift Survey

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

11 pages, 9 figures, accepted for publication in MNRAS; reference corrected

Scientific paper

10.1111/j.1365-2966.2006.11269.x

We investigate the topology of the completed 2dF Galaxy Redshift Survey, drawing two flux-limited samples of the local Universe from the 2dFGRS catalogue, which contains over 220,000 galaxies at a median redshift of z = 0.11. The samples are cut at z = 0.2 and corrected for selection effects. We then use the three-dimensional genus statistic to probe the connectedness of the galaxy distribution on scales ranging from 8 to 20 Mpc, and compare these measurements with the analytical result for a Gaussian random density field, a generic prediction of inflationary models. We demonstrate consistency with inflation on the range of scales considered. We then introduce a parameterisation of the analytic genus curve formula that is sensitive to asymmetries in genus number as a function of density and use it to demonstrate that such phenomena are ruled out with 95% confidence between 8 and 16 Mpc.

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

Topology of large-scale structure in the 2dF Galaxy Redshift Survey 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 Topology of large-scale structure in the 2dF Galaxy Redshift Survey, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Topology of large-scale structure in the 2dF Galaxy Redshift Survey will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-624950

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