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Machine-enhanced CP-asymmetries in the Higgs sector
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Improving the sensitivity to CP-violation in the Higgs sector is one of the pillars of the precision Higgs programme at the Large Hadron Collider. We present a simple method that allows CP-sensitive observables to be directly constructed from the output of neural networks. We show that these observables have improved sensitivity to CP-violating effects in the production and decay of the Higgs boson, when compared to the use of traditional angular observables alone. The kinematic correlations identified by the neural networks can be used to design new analyses based on angular observables, with a similar improvement in sensitivity.
Forward citations
Cited by 4 Pith papers
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$\mathcal{CP}$-Analyses with Symbolic Regression
Symbolic regression produces analytic, detector-level CP-odd observables for WBF Higgs production and an analytic reconstruction of the Collins-Soper angle in ttH that are competitive with black-box ML and classical methods.
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Renormalisation group evolution effects on global SMEFT analyses
Including RGE effects in a global SMEFT fit improves bounds on poorly constrained four-quark operators but weakens limits on modified Z q qbar couplings by up to a factor of ten.
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Future Collider Perspectives on Higgs CP Violation
Simulated future-collider studies project that FCC-ee and FCC-hh could constrain CP-violating Higgs EFT couplings 10-100 times more tightly than the HL-LHC, with the proton-proton machine strongest overall.
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Sensitivity to $\mathcal{CP}$-violating effective couplings in the top-Higgs sector
Combining ttbar H and single-top H production at the LHC can separate the real and imaginary parts of a CP-violating top Yukawa coupling, with projected HL-LHC constraints about twice as strong as current ATLAS bounds.
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