Astronomy and Astrophysics – Astrophysics
Scientific paper
1994-09-07
Astronomy and Astrophysics
Astrophysics
20 pages + 3 figures, AASTeX, ApJS accepted. Compressed postscript figures available in ftp://arcturus.mit.edu/Preprints/grps2
Scientific paper
10.1086/192143
Two algorithms for the identification of galaxy groups from redshift surveys are tested by application to simulated data derived from N-body simulation. The accuracy of the membership assignments by these algorithms is studied in a companion to this paper (Frederic 1994). Here we evaluate the accuracy of group mass estimates and the group-group correlation function. We find a strong bias to low values in the virial mass estimates of groups identified using the algorithm of Nolthenius \& White (1987). The Huchra \& Geller (1982) algorithm gives virial mass estimates which are correct on average. These two algorithms result in group catalogs with similar two-point correlations. We find that groups in a CDM model have excessively large mass to light ratios even when the group richness distribution agrees with observations. We also find that our CDM groups are more strongly correlated than individual halos (galaxies), unlike the groups in the CfA redshift survey extension.
No associations
LandOfFree
Assessing the Accuracy of Masses and Spatial Correlations of Galaxy Groups 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 Assessing the Accuracy of Masses and Spatial Correlations of Galaxy Groups, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Assessing the Accuracy of Masses and Spatial Correlations of Galaxy Groups will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-43397