Learning to identify electrons

@article{Collado2020LearningTI,
  title={Learning to identify electrons},
  author={Julian Collado and Jessica N. Howard and Taylor Faucett and Tony Tong and Pierre Baldi and Daniel Whiteson},
  journal={arXiv: High Energy Physics - Experiment},
  year={2020}
}
We investigate whether state-of-the-art classification features commonly used to distinguish electrons from jet backgrounds in collider experiments are overlooking valuable information. A deep convolutional neural network analysis of electromagnetic and hadronic calorimeter deposits is compared to the performance of typical features, revealing a $\approx 5\%$ gap which indicates that these lower-level data do contain untapped classification power. To reveal the nature of this unused information… Expand
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