Higher order clustering in the Durham/UKST and Stromlo-APM Galaxy Redshift Surveys

Fiona Hoyle, I. Szapudi, Carlton M. Baugh

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

We present a counts-in-cells analysis of clustering in the optically selected Durham/UKST and Stromlo-APM Galaxy Redshift Surveys. Minimum variance estimates of the second moment, skewness (S3) and kurtosis (S4) of the count probability distribution are extracted from a series of volume-limited samples of varying radial depth. The corresponding theoretical error calculation takes into account all sources of statistical error on the measurement of the moments, and is in good agreement with the dispersion over mock redshift catalogues. The errors that we find on S3 and S4 are larger than those quoted in previous studies, in spite of the fact that the surveys we consider cover larger volumes. S3 varies little with cell size, with values in the range 1.8-2.2 and errors ≲20per cent, for cubical cells of side 3-20 h-1 MpC. Direct measurements of S3 are possible out to ∼35 h-1 Mpc, though with larger errors. A significant determination of S4 is only possible for one scale, l ∼ 6h-1 Mpc, with S4 ≈ 5. We compare our results with theoretical predictions from N-body simulations of cold dark matter universes. Qualitatively, the skewness of the dark matter has the same form as that of the galaxies. However, the amplitude of the galaxy S3 is lower than that predicted for the dark matter. Our measurements of S3 are consistent with the predictions of a simple model in which initially Gaussian fluctuations in the dark matter evolve gravitationally, if a second-order bias term is specified, in addition to the traditional linear bias, in order to describe the relation between the distribution of galaxies and dark matter.

Original languageEnglish
JournalMonthly Notices of the Royal Astronomical Society
Volume317
Issue number3
Publication statusPublished - Sep 21 2000

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dark matter
galaxies
skewness
cells
moments
kurtosis
prediction
predictions
catalogs
universe
estimates
simulation
distribution

Keywords

  • Galaxies: formation
  • Large-scale structure of Universe
  • Methods: numerical
  • Methods: statistical

ASJC Scopus subject areas

  • Space and Planetary Science

Cite this

Higher order clustering in the Durham/UKST and Stromlo-APM Galaxy Redshift Surveys. / Hoyle, Fiona; Szapudi, I.; Baugh, Carlton M.

In: Monthly Notices of the Royal Astronomical Society, Vol. 317, No. 3, 21.09.2000.

Research output: Contribution to journalArticle

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