This page refers to my past cosmology research activity (2011-2021):
- Statistical analysis of the low redshift Universe largest
scales.
- Model-independent cosmological constraints.
- Investigate the the nature of Dark Matter applying Machine
Learning to the Milky Way dynamics.
Software
The most relevant projects are in bold font:
- add_derived
— [Python] Add derived parameters to MCMC chains
obtained with the SAMP code (see below).
- arxiv2bib
— [Python] Parse arxiv numbers from a file and
download the respective bibtex entries.
- byspectrum
— [Python] Compute the angular Large Scale
Structure bispectrum.
- CLASSgal
— [C] Modification to the CLASS Boltzmann solver to
include fully relativistic linear angular spectra of
source number counts (available
at this http
URL).
- cosmo-el
— [Elisp] Cosmological calculator for the Emacs
text editor. This package is available on
the MELPA repository.
- CosmoX
— [C++, Python] Compute generalized angular
power spectra and angular bispectra.
- gnuplot-pipe
— [Scheme] A simple CHICKEN Scheme interface to
Gnuplot.
- replacekey
— [Python] Parse files and replace key
expressions by template strings. For instance, it is
used to generate this static website.
- rparallel
— [Racket] High-level parallel forms.
- SAMP
(SAMP's Adapted Monte Python) — [Python] Markov
chain Monte Carlo sampler for Bayesian analysis of
cosmological data.
- stream-dm
— [Python] Analyze stellar streams perturbations induced
by dark matter clumps.