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New CTEQ global analysis of quantum chromodynamics with high-precision data from the LHC

Tie-Jiun HouDepartment of Physics, College of Sciences, Northeastern University, Shenyang 110819, ChinaJun GaoINPAC, Shanghai Key Laboratory for Particle Physics and Cosmology & School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai 200240, China Center for High Energy Physics, Peking University, Beijing 100871, ChinaT. J. HobbsDepartment of Physics, Southern Methodist University, Dallas, Texas 75275-0181, USAKeping XieDepartment of Physics, Southern Methodist University, Dallas, Texas 75275-0181, USASayipjamal DulatSchool of Physics Science and Technology Xinjiang University, Urumqi, Xinjiang 830046 ChinaMarco GuzziDepartment of Physics, Kennesaw State University, 370 Paulding Avenue, 30144 Kennesaw, Georgia 30061, USAJ. HustonDepartment of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USAPavel NadolskyDepartment of Physics, Southern Methodist University, Dallas, Texas 75275-0181, USAJon PumplinDepartment of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USACarl R. SchmidtDepartment of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USAIbrahim SitiwaldiSchool of Physics Science and Technology Xinjiang University, Urumqi, Xinjiang 830046 ChinaDaniel R. StumpDepartment of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USAC.–P. YuanDepartment of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
2021en
ABI

Annotatsiya

This work details the release of the CTEQ-TEA collaboration's updated set of parton distribution functions, CT18. These PDFs are a crucial input to almost all theory and experimental calculations carried out at the LHC and potentially other hadron colliders. The new set supersedes the CT14 analysis, incorporating additional data from the HERA and LHC experiments and providing alternative fits to explore the effect of different input assumptions.

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