Resources

I make didactical notes and codes about several topics in cosmology:

• Cosmological distance plotter: a simple website that plots the comoving, luminosity and angular diamenter distance-redshift relations for \( w_0w_a \)CDM cosmologies.
• Observational Evidence from Supernovae for an Accelerating Universe and a Cosmological Constant : reproducing the data analysis from the High-z Supernova Search Team 1998 paper that provides robust evidence for dark energy and establishes the \( \Lambda \)CDM model as the default cosmological model. MCMC analysis of a simple supernovae likelihood from scratch.
• Einstein-Boltzmann solver : a simple cosmological perturbation integrator in Python, tackles the gauge problem, perturbation equations, transfer functions and the matter power spectrum.
• Halo model notes and a simple Python implementation : didactical notes including spherical collapse and the nonlinear matter power spectrum.
• Notes about Redshift-space distortions : didactical notes on linear RSDs, focusing on the Kaiser result for the power spectrum.
• Minicourse on Cosmological Maps and Inference : a minicourse I gave in the CBPF School on Computation and IA, in October 2025. The course consists in analyzing three types of maps: galaxy lensing, galaxy clustering, and CMB temperature. Starting from simulated maps, the course aims to extract the power spectrum using Healpy, provide theoretical predictions using CLASS and use MCMC techniques to extract the values of cosmological parameters. I also wrote some comments in this blogpost .