Punzi-loss

Sumitted to PubDB: 2021-11-24

Category: Poster, Visibility: Public

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Authors
Non-Belle II authors Huw Haigh
Date Nov. 24, 2021
Belle II Number BELLE2-POSTER-CONF-2021-001
Abstract The search for new particles requires robust classification methods, with the ability to be optimised for unknown cross sections and particle masses. We present a new loss function, 'Punzi-loss', based on the so-called Punzi figure of merit (FOM). We refer to a neural network trained with the Punzi-loss function as a 'Punzi-net', and investigate its application to the search for invisible decays of the hypothetical Z' boson produced in the process e+e- -> mu+mu-Z' at the Belle II experiment.
Conference ACAT 2021

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