论文标题
使用未来中微子信号区分超新星模型的前景
Prospects for Distinguishing Supernova Models Using a Future Neutrino Signal
论文作者
论文摘要
下一个银河系循环超新星（SN）应产生大量观察到的中微子。使用贝叶斯技术，我们表明，在已知距离的SN高达25 kpc的情况下，与Super-Kamiokande（SK）相似的水中中微子事件可以用来区分七个一维中微子中微子发射模型，没有假设没有标准的Mikheyev-Smikheyev-smirnov-smirnov-Wolfolnov-Wolfolnov-Wolfolensentein效应。这些模型中的一些仍然可以通过SN在已知距离为50 kpc的SN区分。我们还仅考虑了模型预测的中微子能量和到达时间的相对分布，并发现像SK这样的检测器满足了以不明距离为$ \ sim 10 $ kpc的SN区分这些分布的要求。
The next Galactic core-collapse supernova (SN) should yield a large number of observed neutrinos. Using Bayesian techniques, we show that with an SN at a known distance up to 25 kpc, the neutrino events in a water Cherenkov detector similar to Super-Kamiokande (SK) could be used to distinguish between seven one-dimensional neutrino emission models assuming no flavor oscillations or the standard Mikheyev-Smirnov-Wolfenstein effect. Some of these models could still be differentiated with an SN at a known distance of 50 kpc. We also consider just the relative distributions of neutrino energy and arrival time predicted by the models and find that a detector like SK meets the requirement to distinguish between these distributions with an SN at an unknown distance up to $\sim 10$ kpc.
