Constraining evolution in the Halo Model using galaxy redshift surveys

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

11 pages, 5 figures. Minor modifications to match version accepted by ApJ

Scientific paper

10.1086/379067

We use the latest observations from the 2dF Galaxy Redshift Survey to fit the conditional luminosity function (CLF) formulation of the halo-model for galaxies at z=0. This fit is then used to test the extent of evolution in the halo occupation distribution (HOD) to z=0.8, by comparing the predicted clustering from this CLF to preliminary results from the DEEP2 Redshift Survey. We show that the current observations from the DEEP2 Redshift Survey are remarkably consistent with no evolution in the CLF from z=0 to z=0.8. This result is surprising, in that it suggests that there has been very little change in the way galaxies occupy their host dark matter halos over half the age of the Universe. We discuss in detail the observational constraints we have adopted and also the various different selection effects in each survey and how these impact on the galaxy populations encountered in each survey.

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

Constraining evolution in the Halo Model using galaxy redshift surveys 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 Constraining evolution in the Halo Model using galaxy redshift surveys, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Constraining evolution in the Halo Model using galaxy redshift surveys will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-381588

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