Shengdu Chai

activity

20222026

most citedFrom Optimal Observables to Machine Learning: an Effective-Field-Theory Analysis of

e^{+} e^{-} \to W^{+} W^{-}

at Future Lepton Colliders

1 citations · 2 across the 6 of their papers we have counts for

collaborators

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2 papers · 1 filter

hep-ph2024★ 1 cited

From Optimal Observables to Machine Learning: an Effective-Field-Theory Analysis of $e^{+} e^{-} \to W^{+} W^{-}$ at Future Lepton Colliders

Shengdu Chai, Jiayin Gu, Lingfeng Li

We apply machine-learning techniques to the effective-field-theory analysis of the $e^{+} e^{-} \to W^{+} W^{-}$ processes at future lepton colliders, and demonstrate their advantages in com…

hep-ph2022★ 1 cited

Accommodating the CDF W-boson Mass Measurement in the Beautiful Mirror Model

Shengdu Chai, Jiayin Gu, Lian-Tao Wang

The W-boson mass measurement recently reported by the CDF II experiment exhibits a significant deviation from both the Standard Model prediction and previous measurements. There is…

From Optimal Observables to Machine Learning: an Effective-Field-Theory Analysis of e+e−→W+W− at Future Lepton Colliders

Accommodating the CDF W-boson Mass Measurement in the Beautiful Mirror Model

From Optimal Observables to Machine Learning: an Effective-Field-Theory Analysis of $e^{+} e^{-} \to W^{+} W^{-}$ at Future Lepton Colliders