Deep learning to classify ultra-high-energy cosmic rays by means of PMT signals

F. Carrillo-Perez, L.J. Herrera, J.M. Carceller & A. Guillén

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Code of the Neural Computing and Applications paper: Deep learning to classify ultra-high-energy cosmic rays by means of PMT signals.

Disclaimer

Given that data used for this paper belongs to the Pierre Auger International Collaboration, it is not public. Therefore, functions to read data have been ommited.

Citation

If you find this work useful for your research, please cite:

@article{carrillo2021deep,
  title={Deep learning to classify ultra-high-energy cosmic rays by means of PMT signals},
  author={Carrillo-Perez, F and Herrera, LJ and Carceller, JM and Guill{\'e}n, A},
  journal={Neural Computing and Applications},
  pages={1--17},
  year={2021},
  publisher={Springer}
}

Contact

Please contact me if there is any question (Francisco Carrillo-Perez: [email protected]).

License

MIT