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Probing New Physics by the Tail of the Off-shell Higgs in $V_LV_L$ Mode

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arxiv 1812.02679 v2 pith:5XFPMUX5 submitted 2018-12-06 hep-ph

classification hep-ph
keywords higgsphysicstailhighmassmodeoff-shellprobe
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

Off-shell Higgs at the high mass tail may shed light on the underlying mechanism of the electroweak symmetry breaking. Due to the large cancellation in the standard model (SM) between the box and Higgs-mediated triangle diagrams, the $gg\to WW(ZZ)$ process in the SM is dominated by the $V_T V_T$ transverse-mode at the high mass tail. The cancellation does not necessarily hold, when there is a sufficiently large new physics contribution resulting in $V_LV_L$ longitudinal mode, which is commonly the case when the Higgs sector is modified. Thus the $V_LV_L$ final states in the high mass tail can be utilized as a sensitive probe for such models. In the paper we focus on a study of the $gg \to ZZ$ process in the fully leptonic decay modes, proposing to utilize the polarization modes of the off-shell Higgs to probe new physics, whose contribution mainly shows in the longitudinal mode. As examples, we analyze three different Higgs sector new physics cases (Higgs portal with a light scalar, a broad-width scalar that mixes with the Higgs, and quantum critical Higgs models), and demonstrate that the angular information relating to the polarization serves as very sensitive probe for such new physics.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Quantum Critical Higgs: From AdS$_5$ to Colliders

    hep-ph 2019-08 conditional novelty 6.0 of 10

    In QCH models the large enhancement expected in gg to ZZ cancels once the correct i epsilon branch is used, while gg to HZ develops an order-of-magnitude excess at high invariant mass.

  2. Polarization fraction measurement in ZZ scattering using deep learning

    hep-ph 2019-08 conditional novelty 4.0 of 10

    A particle-based deep neural network with standardized inputs and principal component analysis is projected to improve the expected significance for longitudinally polarized ZZ scattering at the HL-LHC to about 1.7 st...

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