徐曄

徐曄1976年生，2003年於中國科學院高能物理研究所獲粒子物理與原子核物理專業理學博士學位，現為南開大學物理學院副教授。

研究方向為粒子物理實驗

目前從事研究

1.大亞灣反應堆中微子實驗的數據質量以及本底研究；

2.參與LHAASO（大型高海拔空氣簇射實驗）；

3.淺層地下暗物質直接探測的研究。

最新發表文章

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

近期發表文章

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)