  To understand the universe and to interpret the cosmological parameters
governing its evolution it is necessary to contrast the data from galaxy
surveys with simulation. Typically it entails using computationally expensive N
-body simulations. Computational overhead makes it difficult to test the
dependence of galaxy large scale structure on multiple cosmological parameters.
In this work, we suggest a parametric model to simulate large scale structure.
The new method provides a fast way to generate mock catalogs for testing
multiple cosmological parameters as well as providing a test bench for code
development.
