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Published December 1, 2022 | Version v1
Dataset Open

Biased tracers as a probe of beyond-ΛCDM cosmologies

  • 1. Institute of Theoretical Astrophysics, Universitetet i Oslo, P.O. Box 1029 Blindern, N-0315 Oslo, Norway
  • 2. Institute for Computational Science, Universität Zürich, Winterthurerstrasse 190, 8057 Zürich, Switzerland
  • 3. Departement de Physique Theorique and CAP, Universit´e de Gen`eve, 24 quai Ernest Ansermet, CH-1211 Geneve 4, Switzerland


This directory contains all the necessary data, codes, and notebooks to reproduce the results of the paper titled "Biased tracers as a probe of beyond-ΛCDM cosmologies" (

This paper has also been published in A&A and can be found in Volume 668, December 2022, Article Number A56, which can be accessed at this link: The paper is part of the Cosmology (including clusters of galaxies) section and has a DOI of


  • codes: This directory contains different codes used to generate and post-process the simulation data, including k-evolution, gevolution, Pylians and CLASS, Latfield2, and Rockstar.
  • data: This directory includes the data for the power spectra and halos for different simulations.
  • figures_Jupyter_notebooks: This directory includes Jupyter notebooks to reproduce the figures presented in the paper.
  • simulation_settings: This directory includes the settings files that were used to run the simulations.

How to Use

  1. Download the files to your local machine.
  2. Navigate to the directory where the files are saved.
  3. Install the necessary packages
  4. Navigate to the "figures_Jupyter_notebooks" directory and open the Jupyter notebooks in your preferred environment.
  5. Run the cells in the notebooks to reproduce the figures.
  6. Navigate to the "codes" directory and use the appropriate code to generate and post-process the simulation data.
  7. Navigate to the "data" directory to access the simulation data.
  8. Use the simulation settings files in the "simulation_settings" directory to replicate the simulations.

Note: Some of the simulations may require high computational resources and may take a significant amount of time to run.

If you have any feedback or request feel free to email


See readme.html for a better preview.


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