Here you can find some of the publicly available codes and scripts I have developed as part of my work and research.
Check out more on my
GitHub
.
Codes developed for my research in cosmology.
Python code that computes the galaxy redshift space power spectrum for cosmologies containing massive neutrinos. The code combines analytical modeling and numerical methods based on the FFTLog formalism. More details in the papers 2208.02791 and 2404.07269.
Perturbation theory for LCDM and Modified Gravity theories using “fk”-Kernels. More details in the paper 2312.10510.
Compressed to Cosmological parameters: interpreting compressed parameters obtained from Standard and ShapeFit analyses in terms of cosmological parameters. For further details, see Section 5.4 of 2404.07269.
Python script for generating publication-quality plots: contour plots, marginalized posteriors etc… in a simple and visually appealing way.
Coming soon: FMG extends perturbation theory to both ΛCDM and Modified Gravity models using fk-kernels. It builds on the FOLPS code, now enhanced to support MG models.
Educational codes and notebooks for learning and teaching cosmology concepts.
End-to-end pipeline for performing cosmological inference using DESI observables, in combination with other datasets, through the official desilike package.
Explore cosmology through a hands-on series of notebooks applying statistical and numerical methods to real datasets.
Tutorial introducing tools and methods for analyzing the formation of large-scale structures in the Universe. Designed for hands-on learning, it guides you through statistical and numerical techniques with Jupyter Notebooks, both locally and remotely.
Websites and web applications I have created.
