Calorimetry with deep learning: particle simulation and reconstruction for collider physics

HIGHLIGHTS

• who: Dawit Belayneh from the University of Chicago, Chicago, IL, USA have published the research: Calorimetry with deep learning: particle simulation and reconstruction for collider physics, in the Journal: Eur. Phys. J. C (2020) 80:688 of 31/07/2020
• what: Using detailed simulations of calorimeter showers as training data, the authors investigate the use of deep learning algorithms for the simulation and reconstruction of single isolated particles produced in high-energy physics collisions. The authors investigate the optimization of the models with hyperparameter scans. The authors demonstrate the applicability of the reconstruction model to . . .
  

   

  

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