Study of energy deposition patterns in hadron calorimeter for prompt and displaced jets using convolutional neural network
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DOI: 10.1007/jhep11(2019)156
Abstract: Abstract Sophisticated machine learning techniques have promising potential in search for physics beyond Standard Model in Large Hadron Collider (LHC). Convolutional neural networks (CNN) can provide powerful tools for differentiating between patterns of calorimeter energy… read more here.
Keywords: deposition patterns; physics; displaced jets; energy deposition ... See more keywords