Fast Mock Catalog Generation for Large Scale Structure Modeling
  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.
