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Repository of the codes I have developed to forecast Euclid and SKA capabilities on model-independent tests of Cosmology.

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Model independent tests of Cosmology

Repository of the codes and data files I have been developing to perform model-independent tests of Cosmology using real H(z) measurements, as well as Euclid and SKA simulations.

The python code 'model_ind_tests.py' carries out Gaussian Processes reconstructions with GaPP (https://github.com/astrobengaly/GaPP) in order to obtain model-independent cosmological measurements such as:

Data files in this repository consist of:

  • Real H(z) measurements from galaxy ages, aka Cosmic Chromoneters, and from the radial BAO mode obtained by the SDSS redshift survey
  • Simulated radial BAO measurements from Euclid galaxy survey, and SKA band1 and band2 21cm Intensity Mapping. Fiducial Cosmology assumes Planck 2018 (TT, TE, EE+lowE+lensing) best-fit

The code receives the number of data points and name of the survey as inputs

  • For real data: nz1 refers to the number of CC data points, nz2 to the BAO ones. Put 0 in nz2 in case you just want the former
  • For simulations: nz1 refers to the number of Euclid or SKA band1 data points, nz2 to the SKA band2. Put 0 in nz2 if you do not want to include band 2 simulations
  • survey refers to 'euclid', 'ska', or 'cc'

Plots of the reconstructions assuming SKA band1 + band2 and observational CC + SDSS radial BAO are also provided in this repository.

I hope this code is helpful for students and anyone interested in performing this analysis in the future. If you use it, please cite the following papers

Please contact [email protected] or [email protected] for further enquiries. Suggestions are always welcome.

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