most citedSCYNet: Testing supersymmetric models at the LHC with neural networks

6 citations · 6 across the 1 of their papers we have counts for

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1 paper

hep-ph2017★ 6 cited

SCYNet: Testing supersymmetric models at the LHC with neural networks

Philip Bechtle, Sebastian Belkner, Daniel Dercks +6

SCYNet (SUSY Calculating Yield Net) is a tool for testing supersymmetric models against LHC data. It uses neural network regression for a fast evaluation of the profile likelihood…