DeepEfficiency - optimal efficiency inversion in higher dimensions at the LHC

17 Sep 2018Mikael Mieskolainen

We introduce a new high dimensional algorithm for efficiency corrected, maximally Monte Carlo event generator independent fiducial measurements at the LHC and beyond. The approach is driven probabilistically using a Deep Neural Network on an event-by-event basis, trained using detector simulation and even only pure phase space distributed events... (read more)

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