6 citations · 6 across the 5 of their papers we have counts for
4 papers · 1 filter
Using Machine Learning to Improve PDF Uncertainties
Jason P. Gombas, Reinhard Schwienhorst, Binbin Dong +1
Parton Distribution Functions (PDFs) contribute significantly to the uncertainty on the determination of the top-quark pole mass and other precision measurements at the Large Hadro…
Future Top Quark Pole Mass Improvements from PDF Updates
Jason Gombas, Reinhard Schwienhorst, Jarrett Fein +1
The dependence of the top-quark mass measurement in top-quark pair production on the parton distribution functions (PDF) is explored through differential mass distributions in $t\b…
Report of the Topical Group on Top quark physics and heavy flavor production for Snowmass 2021
Reinhard Schwienhorst, Doreen Wackeroth, Kaustubh Agashe +68
This report summarizes the work of the Energy Frontier Topical Group on EW Physics: Heavy flavor and top quark physics (EF03) of the 2021 Community Summer Study (Snowmass). It aims…
Dependence of the top-quark mass measured in top-quark pair production on the parton distribution functions at the LHC and future colliders
Jason Gombas, Jarrett Fein, Sara Sawford +1
The dependence of the top-quark mass measurement in top-quark production on the parton distribution functions is explored through the differential distribution of the invariant mas…