基本信息
浏览量:9
职业迁徙
个人简介
I have now been nearly 50 years in the field.
Starting on bubble-chamber experiments, moving to ZEUS at HERA and now to ATLAS at CERN. Obviously I am proud to be on the paper on the discovery of the Higgs boson, but my area of expertise came to be Deep Inelastic Scattering. First as a way to establish QCD as the theory of the strong interaction and then to use QCD as a tool to extract the momentum distributions of the quarks and gluons within the proton, known as Parton Distribution Functions. Knowledge of these functions is needed to increasingly high precision if we are to discover deviations from the Standard Model of Particle Physics in the LHC data. I am also interested in probing new kinematic regions where we may go beyond the conventional low-density, perturbative calculations of QCD to a high-density regime where non-linear evolution equations could be needed.
Starting on bubble-chamber experiments, moving to ZEUS at HERA and now to ATLAS at CERN. Obviously I am proud to be on the paper on the discovery of the Higgs boson, but my area of expertise came to be Deep Inelastic Scattering. First as a way to establish QCD as the theory of the strong interaction and then to use QCD as a tool to extract the momentum distributions of the quarks and gluons within the proton, known as Parton Distribution Functions. Knowledge of these functions is needed to increasingly high precision if we are to discover deviations from the Standard Model of Particle Physics in the LHC data. I am also interested in probing new kinematic regions where we may go beyond the conventional low-density, perturbative calculations of QCD to a high-density regime where non-linear evolution equations could be needed.
研究兴趣
论文共 34 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Physical reviewno. 3 (2023)
arXiv (Cornell University) (2020)
引用0浏览0引用
0
0
Proceedings of XXVII International Workshop on Deep-Inelastic Scattering and Related Subjects — PoS(DIS2019)pp.25, (2019)
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn