# Fast Mock Catalog Generation for Large Scale Structure Modeling

## TL;DR

This paper introduces a fast, parametric method for generating mock galaxy catalogs, enabling efficient testing of cosmological models without relying on costly N-body simulations.

## Contribution

A novel parametric model that significantly reduces computational time for large scale structure simulations, facilitating extensive parameter testing.

## Key findings

- Enables rapid mock catalog generation
- Reduces reliance on expensive N-body simulations
- Supports testing multiple cosmological parameters

## Abstract

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.