The Galaxy Correlation Function in the CNOC2 Redshift Survey: Dependence on Color, Luminosity, and Redshift

2001 ◽  
Vol 560 (1) ◽  
pp. 72-85 ◽  
Author(s):  
C. W. Shepherd ◽  
R. G. Carlberg ◽  
H. K. C. Yee ◽  
S. L. Morris ◽  
H. Lin ◽  
...  
1989 ◽  
Vol 338 ◽  
pp. 605 ◽  
Author(s):  
Michael E. Brown ◽  
Edward J. Groth

2014 ◽  
Vol 11 (S308) ◽  
pp. 571-574
Author(s):  
A. J. Hawken ◽  
D. Michelett ◽  
B. Granett ◽  
A. Iovino ◽  
L. Guzzo

AbstractUsing an algorithm based on searching for empty spheres we identified 245 voids in the VIMOS Public Extragalactic Redshift Survey (VIPERS). We show how by modelling the anisotropic void-galaxy cross correlation function we can probe the growth rate of structure.


1983 ◽  
Vol 104 ◽  
pp. 175-175
Author(s):  
J. Bean ◽  
G. Efstathiou ◽  
R. S. Ellis ◽  
B. A. Peterson ◽  
T. Shanks ◽  
...  

The aim of the survey is to sample a relatively large, randomly chosen volume of the Universe in order to study the large-scale distribution of galaxies using the two-point correlation function, the peculiar velocities between galaxy pairs and to provide an estimate of the galaxian luminosity function that is unaffected by density inhomogeneities and Virgo infall.


1992 ◽  
Vol 9 ◽  
pp. 703-704
Author(s):  
Yasushi Suto

The shape and amplitude of the galaxy – galaxy correlation functions, ξgg(r), are among the most widely used measures of the large-scale structure in the universe (Totsuji & Kihara 1969). The estimates, however, might be seriously affected by the limited size of the sample volume, or equivalently, the limited number of available galaxies. In fact, while the observable universe extends c/H0 ~ 3000h-1Mpc, most observational works to map the distribution of galaxies so far have been mainly applied to samples within ~ 100h-1Mpc from us. Thus a CfA redshift survey slice, for example, of 8h < α < 17h, 26.5° < δ < 32.5°, and cz ≾ 15000km/sec (de Lapparent et al. 1986, 1988) represents merely ~ 2 x 10-5 of the total volume of the observable universe. This clearly illustrates the importance of examining possible systematic biases and variations in the estimates of two-point correlation functions from instrinsically limited data. We studied such sample-to-sample variations by analysing subsamples extracted from large N-body simulation data.


2005 ◽  
Vol 356 (2) ◽  
pp. 415-438 ◽  
Author(s):  
Scott M. Croom ◽  
B. J. Boyle ◽  
T. Shanks ◽  
R. J. Smith ◽  
L. Miller ◽  
...  

1994 ◽  
Vol 431 ◽  
pp. 569 ◽  
Author(s):  
Changbom Park ◽  
Michael S. Vogeley ◽  
Margaret J. Geller ◽  
John P. Huchra

2011 ◽  
Vol 84 (6) ◽  
Author(s):  
Wenjuan Fang ◽  
Lam Hui ◽  
Brice Ménard ◽  
Morgan May ◽  
Ryan Scranton

2016 ◽  
Vol 458 (1) ◽  
pp. 934-949 ◽  
Author(s):  
Marcel P. van Daalen ◽  
Bruno M. B. Henriques ◽  
Raul E. Angulo ◽  
Simon D. M. White

Sign in / Sign up

Export Citation Format

Share Document