MetinSa/AST9051SP

AST9051SP - Statistical Methods in Computational Cosmology

This repository contains the project deliverables for the special curriculum course AST9051SP - Statistical Methods in Computational Cosmology, which i took during my last year as a PhD student at UiO.

Main deliverables:

• Jupyter notebook in exercises.ipynb with exercises from Data analysis recipes: Fitting a model to data
• Project report in report_AST9051SP.pdf
• Source code to reproduce results in report in src/

Steps to reproduce results in the report:

• Create a new Python environment (Python >= 3.8)
• Enter the environment and install the following dependencies:
  • astropy >= 5.0.1
  • numpy
  • scipy
  • jplephem
  • matplotlib
  • h5py
• Clone this repository (Note: it contains a 77MB data file)
• Open the Run src/main.py file and turn on/off the various functions in the if __name__== "__main__": block at the end of the file. Then run python main.py in while being in the src/ directory.