In the directory notebooks there are the neural networks used for H(z), SNeIa and fs(8) data. Also the hyper-parameters tunning using tensorboard. Other scripts in this folder are several attemps for manage the covariance matrix with autoencoders.
- numpy
- sklearn
- scipy
- pandas
- matplotlib
- seaborn
- tensorflow==2.6.0
- astroNN
- h5py==2.9.0
This code was part for our paper:
Gómez-Vargas, I., Medel-Esquivel, R., García-Salcedo, R. et al. Neural network reconstructions for the Hubble parameter, growth rate and distance modulus. Eur. Phys. J. C 83, 304 (2023). https://doi.org/10.1140/epjc/s10052-023-11435-9.