Published December 6, 2024
| Version v1
Dataset
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Code repository for 'Cosmic chronometers, Pantheon+ supernovae, and quasars favor coasting cosmologies over the flat ΛCDM model'
Authors/Creators
- 1. Institute of Physics and Astronomy, ELTE Eötvös Loránd University, 1117 Budapest, Hungary
- 2. HUN-REN–ELTE Extragalactic Astrophysics Research Group, 1117 Budapest, Hungary
- 3. L2IT, Laboratoire des 2 Infinis - Toulouse, Université de Toulouse, CNRS/IN2P3, UPS, F-31062 Toulouse Cedex 9, France
- 4. Department of Physics and Astronomy, Universiteit Gent, B-9000 Ghent, Belgium
Description
This repository is for the paper 'Cosmic chronometers, Pantheon+ supernovae, and quasars favor coasting cosmologies over the flat ΛCDM model' by Adrienn Pataki. It is associated with manuscript number #AAS58647.
The repository contains Python code for fitting coasting cosmological models and the flat ΛCDM model to the Type Ia Supernova (SNIa) and Quasar (QSO) datasets. Detailed descriptions and usage instructions are provided within the code. For Cosmic Chronometer (CC) tests, we utilized the emcee code available at https://gitlab.com/mmoresco/CCcovariance, which produces results consistent with our implementation of the CC data analysis.
Additionally, the repository includes PDF files that present the fitting results as corner plots, illustrating the posterior distributions of the fitted parameters. Corner plots for CC fits are also provided. These plots display the projections of the MCMC chain in one- and two-dimensional parameter spaces. The 1D histograms show the median of the posterior parameter distributions, along with the 1σ uncertainties represented by the 16th and 84th percentiles. In the 2D distribution panels, contours are plotted at 0.5σ, 1σ, 1.5σ, and 2σ levels.
Corresponding author of the article: Peter Raffai, peter.raffai@ttk.elte.hu
Corresponding author of the repository: Adrienn Pataki, patakia@student.elte.hu
Corresponding author of the repository: Adrienn Pataki, patakia@student.elte.hu
Files
SNIa_k0_Coasting_posteriors.pdf
Files
(11.8 MB)
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