Understanding the intricate connection between cosmological parameters is crucial for gaining insights into the evolution and properties of the universe. This research project employs the Python Symbolic Regression (PySR) package within a Jupyter Notebook environment to explore the relationship between two fundamental cosmological parameters: σ8 (the amplitude of the matter power spectrum) and ΩM (the fraction of the universe's total mass-energy content due to matter).

PySR is a powerful tool that utilizes symbolic regression to automatically discover mathematical expressions that best fit a given dataset. This work leverages PySR to construct a symbolic model that accurately describes the interdependence between σ8 and ΩM based on observed cosmological data.