Abstract
The Higgs-gluon interaction is crucial for LHC phenomenology. To improve the constraints on the \mathcal{CP}饾挒饾挮 structure of this coupling, we investigate Higgs production with two jets using machine learning. In particular, we exploit the \mathcal{CP}饾挒饾挮 sensitivity of the so far neglected phase space region that differs from the typical vector boson fusion-like kinematics. Our results indicate that further improvements in the current experimental limits could be achievable using our techniques. We also discuss the most relevant observables and how \mathcal{CP}饾挒饾挮 violation in the Higgs鈥揼luon interaction can be disentangled from \mathcal{CP}饾挒饾挮 violation in the interaction between the Higgs boson and massive vector bosons. Assuming the absence of \mathcal{CP}饾挒饾挮-violating Higgs interactions with coloured beyond-the-Standard-Model states, our projected limits on a \mathcal{CP}饾挒饾挮-violating top-Yukawa coupling are competitive with more direct probes like top-associated Higgs production and limits from a global fit.
Published Version
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