Punzi-loss
Category: Poster, Visibility: Public
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Authors | |
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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 |
Files
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BELLE2-POSTER-CONF-2021-001.pdf (versions: 1)
latest upload: 2024-12-02