Numerical Simulation of Non-Gaussian Random Fields with Prescribed Correlation Structure

Abstract

In this paper we will consider the problem of the numerical simulation of non-Gaussian, scalar random fields with a prescribed correlation structure provided either by a theoretical model or computed on a set of observational data. Although, the numerical generation of a generic, non-Gaussian random field is a trivial operation, the task becomes tough when constraining the field with a prefixed correlation structure. At this regards, three numerical methods, useful for astronomical applications, are presented. The limits and capabilities of each method are discussed and the pseudo-codes describing the numerical implementation are provided for two of them.

37 pages, 9 figures, accepted by P.A.S.P

References in corpus (2)

• FIRBACK: III. Catalog, Source counts, and cosmological implications of the 170 micron ISO Deep survey
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