徐晔 （南开大学物理学院副教授）

基本介绍

徐晔1976年生，2003年于中国科学院高能物理研究所获粒子物理与原子核物理专业理学博士学位，现为南开大学物理学院副教授。

研究方向为粒子物理实验

目前从事研究

1.大亚湾反应堆中微子实验的数据质量以及本底研究；

2.参与LHAASO（大型高海拔空气簇射实验）；

3.浅层地下暗物质直接探测的研究。

最新发表文章

Ye Xu, PanXiang Ji, ZeLong Liu, et al., Evaluation of the Neutron Background in a Direct WIMP Detector with Neutron Veto System Based on Gd-doped Liquid Scintillator, JCAP06(2011)009

近期发表文章

Xu,Ye, Wu, Bin, Zhang, Ying jie., et al., Discrimination between neutrino events and backgrounds using pulse shape information in reactor neutrino experiments, Nuclear Instruments and Methods in Physics Research A610, 590-596 (2009)

Xu, Y., Xu, W. W., Meng, Y. X., Wu, B., Improving application of Bayesian Neural Networks to discriminate neutrino events from backgrounds in reactor neutrino experiments, Journal of Instrumentation, 4, P01004 (2009)

Xu, W. W., Xu, Y., Meng, Y. X., Wu, B., Applying Bayesian Neural Network to determine neutrino incoming direction in reactor neutrino experiments and supernova explosion location by scintillator detectors, Journal of Instrumentation, 4, P01002 (2009)

Xu, Ye, Xu, Weiwei, Meng, YiXiong, et al., Application of Bayesian Neural Networks in High Energy Physics Experiments, 2009 Fifth International Conference on Natural Computation Vol. 6, 57-61 (2009)

Wei, Zheng-Tao, Xu, Ye, Li, Xue-Qian, Probing unparticle theory via lepton-flavor violating process J/psi -> ll' at BESIII, European Physical Journal C62, 593-598 (2009)

Xu, Y., Meng, Y. X., Xu, W. W., Applying bayesian neural networks to separate neutrino events from backgrounds in reactor neutrino experiments, Journal of Instrumentation, 3, P08005 (2008)

Xu, Ye, Xu, Weiwei, Meng, Yixiong, Zhu, Kaien, Xu, Wei, Applying Bayesian neural networks to event reconstruction in reactor neutrino experiments, Nuclear Instruments and Methods in Physics Research Section A592, 451-455 (2008)

Xu Ye, Hou Jian, Zhu Kai-En, Applying Bayesian neural networks to identify pion, kaon and proton in BES II, Chinese Physics C32, 201-204 (2008)