Automated detector simulation and reconstruction parametrization using machine learning

26 Feb 2020 Benjamin D. Chekanov S. V. Hopkins W. Li Y. Love J. R.

Rapidly applying the effects of detector response to physics objects (e.g. electrons, muons, showers of particles) is essential in high energy physics. Currently available tools for the transformation from truth-level physics objects to reconstructed detector-level physics objects involve manually defining resolution functions... (read more)

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Categories


  • DATA ANALYSIS, STATISTICS AND PROBABILITY
  • HIGH ENERGY PHYSICS - EXPERIMENT