This repository contains the code used to generate the results from the paper "Cosmic dissonance: new physics or systematics behind a short sound horizon?" by Nikki Arendse, Radek Wojtak and Adriano Agnello (https://arxiv.org/pdf/1909.07986.pdf).
In our paper, we use late-time probes such as supernova (SN) and Baryon Acoustic Oscillations (BAO) and calibrate them with absolute distance measurements from gravitational lensing, Cepheids and the Tip of the Red Giant Branch to obtain a measurement of the sound horizon and the Hubble constant. We use 4 different models to infer the expansion history: models 1-3 are polynomial parametrizations and do not depend on a cosmological model, and model 4 is the standard LCDM model.
Download the complete cosmic_dissonance repository. With Python, run either
- Run.py: to generate data. This will create new files in the folders Chains, Output and Testing.
- Fig_test.py: to visually inspect the data. This will generate figures in the folder Figures. Fig_test.py can only be ran to check data that is already generated. To begin with, I have provided an example data file (where model 3 is ran with SN, BAO and Cepheids).
Any questions? Email me at [email protected]