Investigating the effects of various statistical model fitting criteria in Kosmulator

You are here

Project Description: 

This project utilises the Python-based Kosmulator framework to investigate how different statistical information criteria impact cosmological model selection. With recent data (e.g., DESI ) suggesting potential deviations from the standard model, a robust statistical comparison is crucial. By implementing new selection criteria into Kosmulator’s post-processing pipeline and testing them against late-time observational datasets, this study aims to evaluate the penalty these criteria place on extended models and provide insights into the current cosmological landscape.
Research Area: 
Astrophysics
Project Level: 
Honours
This Project Is Offered At The Following Node(s): 
(NWU)
Special Requirements: 
The student should have experience programming in Python and basic use of the Linux terminal.

Supervisor

Dr
Renier
Hough
E-mail Address: 
Affiliation: 
North-West University (NWU)

Co-Supervisor

Prof
Amare
Abebe
Documents: 
PDF icon Project description and objectives
Affiliation: 
North-West University
randomness