Signal mixture estimation for degenerate heavy Higgses using a deep neural network

The European Physical Journal C 2018 Anders KvellestadSteffen MaelandInga Strümke

If a new signal is established in future LHC data, a next question will be to determine the signal composition, in particular whether the signal is due to multiple near-degenerate states. We investigate the performance of a deep learning approach to signal mixture estimation for the challenging scenario of a ditau signal coming from a pair of degenerate Higgs bosons of opposite CP charge... (read more)

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