论文标题
中微子振荡的随机模型
The stochastic model of neutrino oscillation
论文作者
论文摘要
中微子振荡是从中微子的风味状态到另一个的随机过渡的现象，应遵守量子统计理论，并构成Markoffian过程。该过程是通过CTRW方法（连续时间随机步行）描述的，并且已经建立了中微子束风味分布的时间进化公式。 Markoffian模型用于太阳能和宇宙射线中微子的模拟表明，如果传播时间足够长，则中微子振荡将达到三倍的平衡风味分布，这与SK和SNO实验的数据一致。
Neutrino oscillation is phenomenon of random transition from a flavor state of neutrino to another, and should obey quantum statistics theory, and constitutes Markoffian process. The process is depicted by method of CTRW (continuous time random walk), and the time-evolution formula of flavor distribution of neutrino beam has been established. The simulation with Markoffian model for solar and cosmic ray neutrino indicates neutrino oscillation will arrive at equilibrium flavor distribution of three-fold maximum if propagation time is long enough, which is consistent to the data of SK and SNO experiments.
