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.

*This work has been supported by funding from California Institute of Technology High Energy Physics under Contract DE-SC0011925 with the United States Department of Energy.

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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