A COSMIC VARIANCE COOKBOOK

被引:241
作者
Moster, Benjamin P. [1 ]
Somerville, Rachel S. [2 ,3 ]
Newman, Jeffrey A. [4 ]
Rix, Hans-Walter [1 ]
机构
[1] Max Planck Inst Astron, D-69117 Heidelberg, Germany
[2] Space Telescope Sci Inst, Baltimore, MD 21218 USA
[3] Johns Hopkins Univ, Dept Phys & Astron, Baltimore, MD 21218 USA
[4] Univ Pittsburgh, Dept Phys & Astron, Pittsburgh, PA 15260 USA
基金
美国国家科学基金会;
关键词
cosmology: theory; galaxies: high-redshift; galaxies: statistics; galaxies: stellar content; large-scale structure of universe; STATISTICS; EVOLUTION; GALAXIES; MASS;
D O I
10.1088/0004-637X/731/2/113
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Deep pencil beam surveys (< 1 deg(2)) are of fundamental importance for studying the high-redshift universe. However, inferences about galaxy population properties (e. g., the abundance of objects) are in practice limited by "cosmic variance." This is the uncertainty in observational estimates of the number density of galaxies arising from the underlying large-scale density fluctuations. This source of uncertainty can be significant, especially for surveys which cover only small areas and for massive high-redshift galaxies. Cosmic variance for a given galaxy population can be determined using predictions from cold dark matter theory and the galaxy bias. In this paper, we provide tools for experiment design and interpretation. For a given survey geometry, we present the cosmic variance of dark matter as a function of mean redshift (z) over bar and redshift bin size Delta z. Using a halo occupation model to predict galaxy clustering, we derive the galaxy bias as a function of mean redshift for galaxy samples of a given stellar mass range. In the linear regime, the cosmic variance of these galaxy samples is the product of the galaxy bias and the dark matter cosmic variance. We present a simple recipe using a fitting function to compute cosmic variance as a function of the angular dimensions of the field, (z) over bar, Delta z, and stellar mass m(+). We also provide tabulated values and a software tool. The accuracy of the resulting cosmic variance estimates (delta sigma(nu)/sigma(nu)) is shown to be better than 20%. We find that for GOODS at (z) over bar = 2 and with Delta z = 0.5, the relative cosmic variance of galaxies with m(*) > 10(11)M(circle dot) is similar to 38%, while it is similar to 27% for GEMS and similar to 12% for COSMOS. For galaxies of m(*) similar to 10(10) M-circle dot, the relative cosmic variance is similar to 19% for GOODS, similar to 13% for GEMS, and similar to 6% for COSMOS. This implies that cosmic variance is a significant source of uncertainty at (z) over bar = 2 for small fields and massive galaxies, while for larger fields and intermediate mass galaxies, cosmic variance is less serious.
引用
收藏
页数:8
相关论文
共 21 条
[1]  
[Anonymous], 1980, The large-scale structure of the universe, DOI DOI 10.23943/PRINCETON/9780691209838.001.0001
[2]   THE STATISTICS OF PEAKS OF GAUSSIAN RANDOM-FIELDS [J].
BARDEEN, JM ;
BOND, JR ;
KAISER, N ;
SZALAY, AS .
ASTROPHYSICAL JOURNAL, 1986, 304 (01) :15-61
[3]   Modelling the evolution of galaxy clustering [J].
Baugh, CM ;
Benson, AJ ;
Cole, S ;
Frenk, CS ;
Lacey, CG .
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 1999, 305 (01) :L21-L25
[4]   The Hubble Ultra Deep Field [J].
Beckwith, Steven V. W. ;
Stiavelli, Massimo ;
Koekemoer, Anton M. ;
Caldwell, John A. R. ;
Ferguson, Henry C. ;
Hook, Richard ;
Lucas, Ray A. ;
Bergeron, Louis E. ;
Corbin, Michael ;
Jogee, Shardha ;
Panagia, Nino ;
Robberto, Massimo ;
Royle, Patricia ;
Somerville, Rachel S. ;
Sosey, Megan .
ASTRONOMICAL JOURNAL, 2006, 132 (05) :1729-1755
[5]   The DEEP2 Galaxy Redshift Survey: Clustering of galaxies in early data [J].
Coil, AL ;
Davis, M ;
Madgwick, DS ;
Newman, JA ;
Conselice, CJ ;
Cooper, M ;
Ellis, RS ;
Faber, SM ;
Finkbeiner, DP ;
Guhathakurta, P ;
Kaiser, N ;
Koo, DC ;
Phillips, AC ;
Steidel, CC ;
Weiner, BJ ;
Willmer, CNA ;
Yan, RB .
ASTROPHYSICAL JOURNAL, 2004, 609 (02) :525-538
[6]   Experimental cosmic statistics - I. Variance [J].
Colombi, S ;
Szapudi, I ;
Jenkins, A ;
Colberg, J .
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2000, 313 (04) :711-724
[7]   The All-Wavelength Extended Groth Strip International Survey (AEGIS) data sets [J].
Davis, M. ;
Guhathakurta, P. ;
Konidaris, N. P. ;
Newman, J. A. ;
Ashby, M. L. N. ;
Biggs, A. D. ;
Barmby, P. ;
Bundy, K. ;
Chapman, S. C. ;
Coil, A. L. ;
Conselice, C. J. ;
Cooper, M. C. ;
Croton, D. J. ;
Eisenhardt, P. R. M. ;
Ellis, R. S. ;
Faber, S. M. ;
Fang, T. ;
Fazio, G. G. ;
Georgakakis, A. ;
Gerke, B. F. ;
Goss, W. M. ;
Gwyn, S. ;
Harker, J. ;
Hopkins, A. M. ;
Huang, J.-S. ;
Ivison, R. J. ;
Kassin, S. A. ;
Kirby, E. N. ;
Koekemoer, A. M. ;
Koo, D. C. ;
Laird, E. S. ;
Le Floc'h, E. ;
Lin, L. ;
Lotz, J. M. ;
Marshall, P. J. ;
Martin, D. C. ;
Metevier, A. J. ;
Moustakas, L. A. ;
Nandra, K. ;
Noeske, K. G. ;
Papovich, C. ;
Phillips, A. C. ;
Rich, R. M. ;
Rieke, G. H. ;
Rigopoulou, D. ;
Salim, S. ;
Schiminovich, D. ;
Simard, L. ;
Smail, I. ;
Small, T. A. .
ASTROPHYSICAL JOURNAL, 2007, 660 (01) :L1-L6
[8]   The rest-frame ultraviolet luminosity density of star-forming galaxies at redshifts z&gt;3.5 [J].
Giavalisco, M ;
Dickinson, M ;
Ferguson, HC ;
Ravindranath, S ;
Kretchmer, C ;
Moustakas, LA ;
Madau, P ;
Fall, SM ;
Gardner, JP ;
Livio, M ;
Papovich, C ;
Renzini, A ;
Spinrad, H ;
Stern, D ;
Riess, A .
ASTROPHYSICAL JOURNAL, 2004, 600 (02) :L103-L106
[9]   Clustering of galaxies in a hierarchical universe - II. Evolution to high redshift [J].
Kauffmann, G ;
Colbeg, JM ;
Diaferio, A ;
White, SDM .
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 1999, 307 (03) :529-536
[10]   On the variation of the initial mass function [J].
Kroupa, P .
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2001, 322 (02) :231-246