A class of N-dimensional probability density functions suitable for random generation

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Abstract

The class of N-dimensional probability density functions such that the generation of a random vector can be reconducted through a linear transformation to the generation of N independent random numbers is described.

Instances in physics when such functions can be used for parametrization in a Monte Carlo are discussed, in particular for random number generation according to the shape of an electromagnetic shower.

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