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Stefan Prestel. Photo.

Stefan Prestel

Associate senior lecturer

Stefan Prestel. Photo.

HYTREES : combining matrix elements and parton shower for hypothesis testing

Author

  • Stefan Prestel
  • Michael Spannowsky

Summary, in English

We present a new way of performing hypothesis tests on scattering data, by means of a perturbatively calculable classifier. This classifier exploits the “history tree” of how the measured data point might have evolved out of any simpler (reconstructed) points along classical paths, while explicitly keeping quantum–mechanical interference effects by copiously employing complete leading-order matrix elements. This approach extends the standard Matrix Element Method to an arbitrary number of final state objects and to exclusive final states where reconstructed objects can be collinear or soft. We have implemented this method into the standalone package hytrees and have applied it to Higgs boson production in association with two jets, with subsequent decay into photons. hytrees allows to construct an optimal classifier to discriminate this process from large Standard Model backgrounds. It further allows to find the most sensitive kinematic regions that contribute to the classification.

Department/s

  • Theoretical Particle Physics

Publishing year

2019-07

Language

English

Publication/Series

European Physical Journal C

Volume

79

Issue

7

Document type

Journal article

Publisher

Springer

Topic

  • Subatomic Physics
  • Other Computer and Information Science

Status

Published

ISBN/ISSN/Other

  • ISSN: 1434-6044