The CLASSgal code for relativistic cosmological large scale structure
By E. Dio, Francesco Montanari, Julien Lesgourgues, R. Durrer. 2013
162 citations recorded by the source corpus.
We present accurate and efficient computations of large scale structure observables, obtained with a modified version of the c l ass code which is made publicly available. This code includes all relativistic corrections and computes both the power spectrum C-l(z(1), z(2)) and the corresponding correlation function xi(theta, z(1), z(2)) of the matter density and the galaxy number fluctuations in linear perturbation theory. For Gaussian initial perturbations, these quantities contain the full information encoded in the large scale matter distribution at the level of linear perturbation theory. We illustrate the usefulness of our code for cosmological parameter estimation through a few simple examples.
Subfields: Astronomy and Astrophysics, Instrumentation
View Paper: https://www.semanticscholar.org/paper/6c3c5eeac2e26901a49f15bf5e487be02d87b8ad
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In Astronomy and Astrophysics
- Lavinia Heisenberg
- A. Banday
- S. Vagnozzi
- K. G'orski
- H. Eriksen
- S. Tsujikawa
- H. Hoekstra
- M. Zumalacárregui
In Instrumentation
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- Y. Mellier
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- Justin I. Read
- C. Porciani
- F. Vernizzi
Citations in the corpus
- hi_class: Horndeski in the Cosmic Linear Anisotropy Solving System (2016, result): “the CLASSgal code [79]) are also compatible [9].”
- MontePython 3: Boosted MCMC sampler and other features (2018, methodology): “ExoCLASS for advanced energy injection, recombination and reionisation features [11], CLASS SZ for SunyaevZel’dovich observables [12], CLASSgal for computing the number count C`’s [13]3, or a branch incorporating nonlocal contributions to General Relativity [14]4.”
- Probing primordial non-Gaussianity with SKA galaxy redshift surveys: a fully relativistic analysis (2014, background): “The computation of the observed number density contrast with all relativistic contributions can be done with camb sources (Challinor & Lewis 2011, which we use here) or classgal (Di Dio et al. 2013).”
- Planck 2018 results (2018, methodology): “…these density contrast maps (i.e., power spectrum of linear density fluctuations, and crossspectra between adjacent shells, as well as with the CMB lensing potential11), obey statistics computed using the Cosmic Linear Anisotropy Solving System (CLASS) code (Blas et al. 2011; Di Dio et al. 2013).”
- Cosmology and Fundamental Physics with the Euclid Satellite (2012, background): “2) and in which photons and dark matter particles move along geodesics, is given in [210, 415].”