Modelling the evolution of correlation functions in gravitational clustering

Abstract

Padmanabhan (1996) has suggested a model to relate the nonlinear two - point correlation function to the linear two - point correlation function. In this paper, we extend this model in two directions: (1) By averaging over the initial Gaussian distribution of density contrasts, we estimate the spectral dependence of the scaling between nonlinear and linear correlation functions. (2) By using a physically motivated ansatz, we generalise the model to N-point correlation functions and relate the nonlinear, volume averaged, N-point correlation function ${\bar{\xi }}_N(x,a)$ with linearly extrapolated volume averaged 2-point correlation function ${\bar{\xi }}_2(l,a)$ evaluated at a different scale. We compare the point of transition between different regimes obtained from our model with numerical simulations and show that the spectral dependence of the scaling relations seen in the simulations can be easily understood. Comparison of the calculated form of ${\bar{\xi }}_N$ with the simulations show reasonable agreement. We discuss several implications of the results.

Four figures and one new section added. Accepted for publication in MNRAS

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