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We explore the collider signatures of a heavy Higgs boson in the extended singlet scalar model (xSM), which satisfy a strong first-order electroweak phase transition, focusing on resonant Higgs pair production ( \(HH){ inthe}bbZZ{ finalstateatthe}14\) TeV High-Luminosity Large Hadron Collider (HL-LHC) with \(3 \textrm{ab}^{-1} \) of integrated luminosity. Using a parameterized machine learning approach, we enhance signal-background discrimination across a range of mass hypotheses. Despite a lower branching fraction, our results indicate that this channel can be a promising probe for electroweak phase transitions, with potential discovery of up to 490 GeV of resonance mass at the HL-LHC.

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Probe of Electroweak Phase Transition in Extended Singlet Scalar Model with Resonant \(HH \rightarrow bbZZ\) Production Applying Parameterized Machine Learning

  • 会议论文

  • 发表日期：

    2025年

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  • Pritam Palit,
  • Sujay Shil

摘要

We explore the collider signatures of a heavy Higgs boson in the extended singlet scalar model (xSM), which satisfy a strong first-order electroweak phase transition, focusing on resonant Higgs pair production ( \(HH){ inthe}bbZZ{ finalstateatthe}14\) TeV High-Luminosity Large Hadron Collider (HL-LHC) with \(3 \textrm{ab}^{-1} \) of integrated luminosity. Using a parameterized machine learning approach, we enhance signal-background discrimination across a range of mass hypotheses. Despite a lower branching fraction, our results indicate that this channel can be a promising probe for electroweak phase transitions, with potential discovery of up to 490 GeV of resonance mass at the HL-LHC.