Clustering in the 1.2-Jy IRAS Galaxy Redshift Survey-1. The redshift and real space correlation functions

Karl B. Fisher, Marc Davis, Michael A. Strauss, Amos Yahil, John Huchra

Research output: Contribution to journalArticlepeer-review

133 Scopus citations

Abstract

We present analyses of the two-point correlation function derived from an all-sky redshift survey of 5313 galaxies extracted from the Infrared Astronomical Satellite {IRAS) data base. The redshift space correlation function ϵ(s) is well described by a power law, ϵ(s) = (s/4.53 h-1 Mpc)-1-28, on scales ≲ 20 h-1 Mpc; on larger scales ϵ(s) drops below the extension of this power law. We examine the effect of redshift space distortions on the correlation function and compute the full two-dimensional correlation function ϵ(rp, n). From this, we derive the real space correlation function, which is well described by ϵ(r) =(r/3.76 h-1 Mpc)-1.66 on scales ≲ 20 h-1 Mpc. The derived correlation functions are found to be consistent with previous determinations in the literature, and seem to show more power on large scales than predicted by the standard cold dark matter (CDM) model. Comparison of the derived ϵ(r) with the correlation function of optical galaxies implies an optical-to-ZRAS bias ratio of bo\b1 = 1.38 ± 0.12 on a scale of ~ 8 h-1 Mpc. The variances in cubical cells inferred from ϵ(s) appear to be discrepant with the results previously reported by Efstathiou et al.

Original languageEnglish (US)
Pages (from-to)50-64
Number of pages15
JournalMonthly Notices of the Royal Astronomical Society
Volume266
Issue number1
DOIs
StatePublished - 1991
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Astronomy and Astrophysics
  • Space and Planetary Science

Keywords

  • Galaxies: Clustering
  • Infrared: Galaxies
  • Large-scale structure of Universe

Fingerprint

Dive into the research topics of 'Clustering in the 1.2-Jy IRAS Galaxy Redshift Survey-1. The redshift and real space correlation functions'. Together they form a unique fingerprint.

Cite this