Precise Simulation of Electromagnetic Calorimeter Showers Using a Wasserstein Generative Adversarial Network

@article{Erdmann2019PreciseSO,
  title={Precise Simulation of Electromagnetic Calorimeter Showers Using a Wasserstein Generative Adversarial Network},
  author={Martin Erdmann and Jonas Glombitza and Thorben Quast},
  journal={Computing and Software for Big Science},
  year={2019},
  volume={3},
  pages={1-13}
}
Simulations of particle showers in calorimeters are computationally time-consuming, as they have to reproduce both energy depositions and their considerable fluctuations. A new approach to ultra-fast simulations is generative models where all calorimeter energy depositions are generated simultaneously. We use GEANT4 simulations of an electron beam impinging on a multi-layer electromagnetic calorimeter for adversarial training of a generator network and a critic network guided by the Wasserstein… Expand
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