Analysis of Black Hole Solutions in Parabolic Class Using Neural Networks

This is the official code repository of the work described in our European Physical Journal C paper.

The 95% ANN-based confidence intervals for the critical collapse functions in the four-dimensional parabolic class. The ANN lower (dotted lines), upper (dashed lines) and median (solid lines) bands were computed from 20 replicates with 3000 epochs each.

License

This repository is released under the GNU General Public License v3.0 License (refer to the LICENSE file for details).

Citing

If you make use of this data and software, please cite the following reference in any publication:

@Article{hatefi2023,
author 	= {Hatefi, E. and Hatefi, A. and L\'opez-Sastre, R.~J.},
title   = {Analysis of black hole solutions in parabolic class using neural networks},
journal = {The European Physical Journal C},
year    = {2023},
}

Contents

1. Requirements
2. Usage

Requirements

1. python3
2. The python library NeuroDiffEq

This project has been developed and tested under Ubuntu 22.04.

Usage

Simply run the python script parabolic_eq_solver.py and enjoy!