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

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