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Neural Network Tagger Calibrations in the Search for Nonresonant Higgs Boson Pair Production in the Four b-Quark Decay Channel with Run-3 Data at the Compact Muon Solenoid Experiment

ORAL

Abstract

We will present our analysis of the search for boosted Higgs boson pair production in the four b-quark decay channel, focusing particularly on tagger applications in the analysis. We compare the performance of ParticleNet and Global ParticleTransformer (GloParT) and derive scale factors for both taggers. Our results show that GloParT achieves better performance in terms of area under the receiver operating characteristic (ROC) curve and signal efficiencies at given background efficiencies.

Presenters

  • Zichun Hao

    Caltech

Authors

  • Zichun Hao

    Caltech

  • Si Xie

    Caltech/FNAL, Fermi National Accelerator Laboratory

  • Raghav Kansal

    California Institute of Technology

  • Javier M Duarte

    University of California, San Diego

  • Cristina M Suarez

    University of Virginia

  • Daniel Primosch

    UC San Diego

  • Cristián Peña

    Fermi National Accelerator Laboratory, FNAL

  • Artur Apresyan

    FNAL

  • Haoyang Li

    University of California, San Diego

  • Maria Spiropulu

    Caltech