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

机译:具有指定相关结构的非高斯随机场的数值模拟

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In this paper we will consider the problem of the numerical simulation of non-Gaussian, scalar random fields with a prescribed correlation structure either provided 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 difficult when the field is constrained with a prescribed correlation structure. In this regard, three numerical methods, useful for astronomical applications, are presented. The limits and capabilities of each method are discussed, and the pseudocodes describing the numerical implementation are provided for two of them.
机译:在本文中,我们将考虑对非高斯标量随机场进行数值模拟的问题,该场具有规定的相关结构,该结构由理论模型提供或根据一组观测数据进行计算。尽管一般的非高斯随机场的数值生成是微不足道的运算,但是当该场受到规定的相关结构约束时,任务变得很困难。在这方面,提出了三种适用于天文应用的数值方法。讨论了每种方法的局限性和功能,并为其中两种方法提供了描述数值实现的伪代码。

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