Data for 'Cosmology with Binary Neutron Stars: Does Mass-Redshift Correlation Matter?'

The code is available at the following GitHub link: https://github.com/SoumendraRoy/RedevolBNS

To generate the plots in the paper, see: https://github.com/SoumendraRoy/RedevolBNS/tree/main/Make_Plots

A frozen version of the Make_Plots is included here.

Description of the files:

1. Cosmo_Plots.ipynb, Pop_Plots.ipynb : Jupyter notebooks containing all plots in the main text.
2. Appendix_Plots.ipynb, All_Contours.ipynb : Jupyter notebooks containing all plots in Appendix.
3. inference_marginal_fiducial.h5, inference_full_fiducial.h5 : The samples of the Hubble constant and dark matter density for the fiducial injected population, with uncorrelated and correlated mass-redshift populations, respectively.
4. inference_marginal_MM.h5, inference_full_MM.h5 : The samples of the Hubble constant and dark matter density for the Mandel-Müller injected population, with uncorrelated and correlated mass-redshift populations, respectively.
5. inference_full_result_Uncorrelated.h5, inference_full_result_Injected.h5 : The samples of the Hubble constant and dark matter density for the fiducial injected population, with uncorrelated and correlated mass-redshift populations, respectively for varying number of detections.
6. simulation.h5 : The injected mass, redshift samples for different population synthesis variations.
7. compare_pop.h5, variant_pop.h5 : Comparison of different population synthesis variations.
8. gmm.h5 : Gaussian mixture model fit of the fiducial and Mandel-Müller injected population.