arXiv subjects

P. Coles

Publications and source records attributed to P. Coles.

24 records · Page 2Linked to original sources

arXiv1993

Cluster Correlations in the Zel'dovich Approximation

We show how to simulate the clustering of rich clusters of galaxies using a technique based on the Zel'dovich approximation. This method well reproduces the spatial distribution of clusters obtainable from full N-body simulations at a fraction of the computational cost. We use an ensemble of large--scale simulations to assess the level and statistical significance of cluster clustering in open, tilted and flat versions of the Cold Dark Matter (CDM) model, as well as a model comprising a mixture of Cold and Hot Dark Matter (CHDM). We find the open and flat CDM models are excluded by the data. The tilted CDM model with a slight tilt is in marginal agreement, while larger tilt produces the right amount of clustering; CHDM is the best of all our models at reproducing the observations of cluster clustering. We find that {\em all} our models display a systematically weaker relationship between clustering length and mean cluster separation than seems to be implied by observations. We also note that the cluster bias factor, is not constant in any of the models, showing that one needs to be very careful when relating cluster clustering statistics to primordial density fluctuations.

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arXiv1993

Gravitational Waves and the Polarisation of the Cosmic Microwave Background

We discuss the influence of gravitational waves (GWs) upon the polarisation of the Cosmic Microwave Background Radiation (CMBR). We show how to compute the {\em rms} temperature anisotropy and polarisation of the CMBR induced by GWs of arbitrary wavelength. We find that the ratio of polarisation, $Π$, to anisotropy, $A$, can be as large as $\sim 40$\%, but is sensitively dependent upon the GW spectrum and the cosmological ionisation history. We argue that CMBR polarisation measurements can provide useful constraints on cosmological models.

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arXiv1993

Weighted Bias and Galaxy Clustering

We consider a weighted biasing scheme for galaxy clustering. This differs from previous treatments in the fact that the biased density field coincides with the background mass--density whenever the latter exceeds a given threshold value. There is some physical motivation for this scheme and it is in better accord with intuitive ideas than models based on the Kaiser (1984) analysis of the clustering of rich clusters. We explain how different classes of object could be biased in different ways with respect to the underlying density distribution but still have $b=1$. We also show that if one applies our scheme consistently a weak dependence of $b$ upon density can be implied. This could also be the reason why the correlation function of galaxies in groups does not differ substantially from the correlation function of all galaxies.

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arXiv1993

Skewness as a Test of Non-Gaussian Primordial Density Fluctuations

We investigate the evolution of the skewness of the distribution of density fluctuations in CDM models with both Gaussian and non--Gaussian initial fluctuations. We show that the method proposed by Coles \& Frenk (1991), which uses the skewness of galaxy counts to test the hypothesis of Gaussian primordial density fluctuations, is a potentially powerful probe of initial conditions. As expected, the mass distribution in models with initially non--Gaussian fluctuations shows systematic departures from the Gaussian behaviour on intermediate to large scales. We investigate the effect of peculiar velocity distortions and normalisation upon the relationship between skewness and variance. These effects are generally small for the models we consider. Comparing our results to the QDOT measurements of the skewness, we find that our initially positive--skew models are clearly excluded by this analysis, but the available data do not rule out the negative--skew models.

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arXiv1993

Angular Distribution of Clustersin Skewed CDM Models

We perform a detailed investigation of the statistical properties of the projected distribution of galaxy clusters obtained in Cold Dark Matter (CDM) models with both Gaussian and skewed primordial density fluctuations. We use N-body simulations to construct a set artificial Lick maps. An objective cluster--finding algorithm is used to identify clusters of different richness. For Gaussian models, the overall number of clusters is too small in the standard CDM case, but a model with higher normalisation fares much better; non--Gaussian models with negative skewness also fit faily well. We apply several statistical tests to compare real and simulated cluster samples, such as the 2-point correlation function, the minimal spanning tree construction, the multifractal analysis and the skewness of cell counts. The emerging picture is that Gaussian models, even with a higher normalization, are in trouble. Skew-positive models are also ruled out, while skew-negative models can reproduce the observed clustering of galaxy clusters in the CDM framework.

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arXiv1993

Large--Scale Angular Correlations in CDM Models

We generate artificial Lick maps using $N$--body simulations and compare the angular correlation function, $w(\vartheta)$, measured from the simulations with the APM correlation. For the Gaussian CDM model, neither the standard biassed model nor a more evolved model (as suggested by the COBE data), reproduce the correlations on large angular scales. We come to a similar conclusion about CDM models with positively skewed initial fluctuation distributions. In contrast, models with initially negatively skewed fluctuations produce a $w(\vartheta)$ that declines much more gently on large scales. Such models are therefore in principle capable of reconciling the lack of large--scale power of the CDM spectrum with the observed clustering of APM galaxies.

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