R-Universe Cosmological Analysis: Code for SN, BAO and CC Data Fitting

This repository contains the code used to perform the cosmological analysis presented in the R-Universe model. The code implements a full pipeline for fitting cosmological models to late-time observational data, including: - Type Ia supernovae (Pantheon+ sample) - Cosmic chronometers (CC) - Baryon acoustic oscillations (BAO) It provides: - Numerical construction of cosmological backgrounds - Computation of luminosity and angular diameter distances - χ² evaluation for SN, CC, and BAO datasets - Model comparison using the Bayesian Information Criterion (BIC) The implementation includes both the standard ΛCDM model and the R-Universe extension, allowing direct statistical comparison between them. The results obtained with this code reproduce the main findings of the associated study, including a significant improvement of fit for the R-Universe model (ΔBIC ≈ −30). Requirements: - Python 3.x - numpy - scipy To run: python benchmark_final.py Note: Input datasets (Pantheon+, CC, BAO) must be provided separately or adapted to local paths.