Updated Global SMEFT Fit to Higgs, Diboson and Electroweak Data
John Ellis, Christopher W. Murphy, Verónica Sanz, Tevong You
TL;DR
This study performs a comprehensive global SMEFT fit to precision electroweak data, LEP WW measurements, and Higgs+diboson data from LHC Run 1 and Run 2, considering 20 dimension-6 operators in both the Warsaw and SILH bases. Using a linear EFT framework and SMEFTsim predictions, the authors show that Run 2 data substantially improve constraints, though the best-fit values remain consistent with the Standard Model and no significant BSM signal is detected. They map the operator constraints to various BSM scenarios, including tree-level extensions and MSSM stop loops, illustrating that indirect SMEFT bounds can be competitive with, or even surpass, direct search limits in certain regions. The results highlight the synergy between precision EW, diboson, and Higgs data, and emphasize the value of differential information (STXS, high-$p_T$ tails) for future SMEFT analyses.
Abstract
The ATLAS and CMS collaborations have recently released significant new data on Higgs and diboson production in LHC Run 2. Measurements of Higgs properties have improved in many channels, while kinematic information for $h \to γγ$ and $h \to ZZ$ can now be more accurately incorporated in fits using the STXS method, and $W^+ W^-$ diboson production at high $p_T$ gives new sensitivity to deviations from the Standard Model. We have performed an updated global fit to precision electroweak data, $W^+W^-$ measurements at LEP, and Higgs and diboson data from Runs 1 and 2 of the LHC in the framework of the Standard Model Effective Field Theory (SMEFT), allowing all coefficients to vary across the combined dataset, and present the results in both the Warsaw and SILH operator bases. We exhibit the improvement in the constraints on operator coefficients provided by the LHC Run 2 data, and discuss the correlations between them. We also explore the constraints our fit results impose on several models of physics beyond the Standard Model, including models that contribute to the operator coefficients at the tree level and stops in the MSSM that contribute via loops.
