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CLASS: the Cosmic Linear Anisotropy Solving System

Beyond CLASS:

  • in hi_class, Miguel Zumalacarregui, Emilio Bellino and Ignacy Sawicki have extended CLASS to a wide class of modified gravity models (Horndeski theories)
  • in SONG, Guido Pettinari, Christian Fidler and Thomas Tram have generalised CLASS to second order in perturbation theory

Monte Python: a Monte Carlo code in Python for cosmological parameter inference

(Old) patches for CAMB and CosmoMC

  • FUTURCMB: mock CMB data generator and parameter forecast modules (including CMB lensing extraction) .
    For details, see "Probing cosmological parameters with the CMB: Forecasts from full Monte Carlo simulations" by Laurence Perotto, Julien Lesgourgues, Steen Hannestad, Huitzu Tu, Yvonne Y.Y. Wong, JCAP 0610 (2006) 013 [astro-ph/0606227]. The raw chains used in this paper can be downloaded here.

  • Inflation module v2 (for computing numerically the scalar/tensor primordial spectra given a function H(phi) or V(phi), and for reconstructing the likelihood of the parameters of these functions from the data).
    For details, see " What do WMAP and SDSS really tell about inflation?" by Julien Lesgourgues, Alexei A. Starobinsky, Wessel Valkenburg, JCAP01(2008)010 [arXiv:0710.1630]. Note that this module has also been translated and absorbed in the primordial module of CLASS, with further options.

  • 3D Weak Lensing module (for computing numerically the weak lensing angular correlation functions in various redhsift bins, and comparing with 2007 data from the HST COSMOS project).
    For details, see "A Combined analysis of Lyman-alpha forest, 3D Weak Lensing and WMAP year three data" by Julien Lesgourgues, Matteo Viel, Martin G. Haehnelt, Richard Massey (Caltech), JCAP 0711:008,2007 [arXiv:0705.0533]. Note that this module has been reused in various weak lensing likelihoods which are part of the Monte Python and CosmoMC packages.

Last update on the 17.09.2018. Back to home page.