A path-integral approach to large-scale matter distribution originated by non-Gaussian fluctuations

Statistics – Computation

Scientific paper

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Computational Astrophysics, Galactic Clusters, Mass Distribution, Correlation, Density Distribution

Scientific paper

The possibility that, in the framework of a biased theory of galaxy clustering, the underlying matter distribution be non-Gaussian itself, because of the very mechanisms generating its present status, is explored. It is shown that a number of contradictory results, seemingly present in large-scale data, in principle can recover full coherence, once the requirement that the underlying matter distribution be Gaussian is dropped. For example, in the present framework, the requirement that the two-point correlation functions vanish at the same scale (for different kinds of objects) is overcome. A general formula, showing the effects of a non-Gaussian background on the expression of three-point correlations in terms of two-point correlations, is given.

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