• Corpus ID: 54575631

A Neural Network-Based Monoscopic Reconstruction Algorithm for H.E.S.S. II

@article{Murach2015ANN,
  title={A Neural Network-Based Monoscopic Reconstruction Algorithm for H.E.S.S. II},
  author={T. Murach and Michael Gajdus and R. D. Parsons},
  journal={arXiv: Instrumentation and Methods for Astrophysics},
  year={2015}
}
The H.E.S.S. experiment entered its phase II with the addition of a new, large telescope named CT 5 that was added to the centre of the existing array of four smaller telescopes. The new telescope is able to detect fainter air showers due to its larger mirror area, thereby lowering the energy threshold of the array from a few hundred GeV down to O(50 GeV). Due to the power-law decrease of typical g-ray and cosmic-ray spectra of astrophysical sources a majority of detected air showers are of low… 

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