杨海军 - 李政道研究所

杨海军/ 特聘学者（双聘）、研究部副主任

粒子与核物理研究部

上海交通大学理科楼5号楼625室 haijun.yang AT sjtu.edu.cn

媒体聚焦

2022-07-06

交大ATLAS实验团队在希格斯玻色子研究方面取得重要进展

2023-02-14

上海交大团队对LHC实验上发现矢量玻色子散射过程作出重大贡献

教育背景

1970, 中国科学院高能物理研究所与瑞士联邦理工学院

工作经历

2012-1970, 上海交通大学物理与天文学院, 教授
2012-1970, 上海交通大学粒子与核物理研究所, 所长
2005-2012, 密歇根大学物理系, 研究员
2000-2005, 密歇根大学物理系, 博士后

研究方向

对撞机物理，希格斯、双玻色子和超越标准模型的新物理

代表性论文专著

ATLAS Collab., "Observation of electroweak production of a same-sign W boson pair in association with two jets in pp collisions at 13 TeV with the ATLAS detector", Phys. Rev. Lett. 123 (2019) 161801
ATLAS Collab., "Search for new phenomena in different-flavour high-mass dilepton final states in pp collisions at 13 TeV with the ATLAS detector", Euro. Phys. J. C76 (2016)541
ATLAS+CMS, "Combined Measurement of the Higgs Boson Mass in pp Collisions at 7 and 8 TeV with the ATLAS and CMS Experiments Phys. Rev. Lett. 114, 191803 (2015)
ATLAS Collab., "Study of the spin and parity of the Higgs boson in diboson decays with the ATLAS detector", Euro. Phys. J. C75 (2015)476
ATLAS Collab., "Measurement of Four-Lepton Production at the Z Resonance in pp Collisions at 7 and 8 TeV with ATLAS", Phys. Rev. Let. 112, 231806 (2014)
ATLAS Collab., "Measurements of Higgs boson production and couplings in the four-lepton channel in pp collisions at center-of-mass energies of 7 and 8 TeV with the ATLAS detector", Phys. Rev. D 91, 012006 (2015)
ATLAS Collab., "Evidence for the spin-0 nature of the Higgs boson using ATLAS data", Phys. Lett. B726 (2013) 120-144
ATLAS Collab., "A Particle Consistent with the Higgs Boson Observed with the ATLAS Detector at the Large Hadron Collider", Science:vol. 338 no. 6114 pp. 1576-1582
ATLAS Collab., "Observation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC", Phys. Lett. B 716(2012) 1-29
MiniBooNE Collaboration, A.A. Aguilar-Arevalo et.al., " A Search for Electron Neutrino Appearance at the dm^2 ~ 1 eV^2 Scale", Phys. Rev. Lett. 98, 231801 (2007)
B. P. Roe, H.J. Yang(*), J. Zhu et.al., " Boosted decision trees as an alternative to artificial neural networks for particle identification", Nucl. Instrum. & Meth. A 543 (2005) 577-584