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PKU HEP Seminar and Workshop (北京大学高能物理组)

SIDIS Program at Jefferson Lab -- Interactions between experiment and theory

by Dr 天博 刘 (Jefferson Lab and Duke University, US)

Asia/Shanghai
B105 (CHEP)

B105

CHEP

West Building, School of Physics, PKU
Description
Semi-inclusive deep inelastic scattering (SIDIS) is one of the main processes to study transverse momentum dependent parton distributions (TMDs) and nucleon spin structures. Many explorations have been made during last two decades. SIDIS experiments approved in multiple halls at 12 GeV upgraded Jefferson Lab aim at unprecedented precise measurements of quark three dimensional distributions in the valence region. Global analyses including the projected data indicate the precision of TMD extractions can be improved by about one order of magnitude. To eventually achieve the goal, it requires a close collaboration between theorists and experimentalists. Theoretically, the full framework of SIDIS is still far from a satisfactory level. Here we discuss about the power correction, which has significant contributions to low energy SIDIS experiments such as those at JLab. Other effects such as high order corrections and threshold resummations may also be important. All these explorations can be tested by the upcoming precise data, and help to extract partonic structures from the measurements. Phenomenologically, the analysis tool should be ready for the upcoming data. A global analysis toolkit is developed for TMD extractions based on the nest sampling algorithm to have more realistic estimation of fitting uncertainties. Experimentally, analyzed data are expected to give a faithful representation of nature. A laboratory directed research and development program is approved planning to construct the first universal Monte Carlo event generator using machine learning techniques to minimize theoretical bias during the data analysis. It will be trained to a collection of world data and upcoming data, and then be applied to the analyses of JLab-12 and future EIC physics programs.
Participants
  • Ce Zhang
  • Hao 张
  • Yu-Jie Zhang
  • 娇 张