23 citations · 50 across the 4 of their papers we have counts for
4 papers
Simultaneous CTEQ-TEA extraction of PDFs and SMEFT parameters from jet and data
Jun Gao, MeiSen Gao, T. J. Hobbs +2
Recasting phenomenological Lagrangians in terms of SM effective field theory (SMEFT) provides a valuable means of connecting potential BSM physics at momenta well above the electro…
Understanding PDF uncertainty on the boson mass measurements in CT18 global analysis
Jun Gao, DianYu Liu, Keping Xie
We study the dependence of the transverse mass distribution of the charged lepton and the missing energies on the parton distributions (PDFs) adapted to the boson mass measurem…
Machine learning of log-likelihood functions in global analysis of parton distributions
DianYu Liu, ChuanLe Sun, Jun Gao
Modern analysis on parton distribution functions (PDFs) requires calculations of the log-likelihood functions from thousands of experimental data points, and scans of multi-dimensi…
Constraints on neutrino non-standard interactions from LHC data with large missing transverse momentum
DianYu Liu, ChuanLe Sun, Jun Gao
The possible non-standard interactions (NSIs) of neutrinos with matter plays important role in the global determination of neutrino properties. In our study we select various data…