Gaussian growth-disorder models and optical transform methods

The properties of Gaussian growth-disorder models are explored and their use for producing realizations of disordered lattices for optical transform analogue experiments is described. Use of Gaussian variables provides greater flexibility than previously described binary ones and in particular enables realizations to be produced in dimensions greater than two without restriction on the values of nearest-neighbour correlation coefficients. A method of converting Gaussian realizations to binary ones is also described.