Code repository for 'Cosmic chronometers, Pantheon+ supernovae, and quasars favor coasting cosmologies over the flat ΛCDM model'

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, [e-mail] author of the repository: Adrienn Pataki, [e-mail]本仓库对应Adrienn Pataki撰写的论文《宇宙计时器、Pantheon+超新星与类星体相较于平坦Λ冷暗物质（flat ΛCDM）模型更支持匀速膨胀宇宙学模型》，手稿编号为#AAS58647。 本仓库包含用于将匀速膨胀宇宙学模型与平坦Λ冷暗物质模型拟合至Ia型超新星（Type Ia Supernova, SNIa）与类星体（Quasar, QSO）数据集的Python代码。代码内部附有详细说明与使用指南。针对宇宙计时器（Cosmic Chronometer, CC）检验，我们使用了托管于https://gitlab.com/mmoresco/CCcovariance的emcee代码，其输出结果与我们的CC数据分析实现保持一致。 此外，本仓库还包含以边角图（corner plot）形式呈现拟合结果的PDF文件，用于展示拟合参数的后验分布。其中亦提供了CC拟合对应的边角图。此类图表展示了马尔可夫链蒙特卡洛（Markov Chain Monte Carlo, MCMC）链在一维与二维参数空间中的投影：一维直方图呈现了后验参数分布的中位数，以及以16%与84%分位数表示的1σ不确定度；在二维分布面板中，置信等高线分别绘制于0.5σ、1σ、1.5σ与2σ置信水平处。 论文通讯作者：Peter Raffai，邮箱：[e-mail]；本仓库维护者：Adrienn Pataki，邮箱：[e-mail]