论文标题
Faser $ν$的中性中微子相互作用
Neutral Current Neutrino Interactions at FASER$ν$
论文作者
论文摘要
在检测大型强子对撞机的中微子时，Faser $ν$将记录有史以来最有活力的实验室中微子。虽然可以通过消除相互作用顶点的能量清单来清晰地识别带电的电流中微子散射事件，但中性电流相互作用更难检测到。我们探索了Faser $ν$观察中微子中微子中性电流散射$νn\ toνn$的潜力，这表明了从中性强子背景区分中微子散射事件的技术，并鉴于深度无弹性散射的最终状态。我们发现，对运动学观察物进行训练的深度神经网络可以测量从100 GEV到几个TEV的中微子能量的中性电流散射横截面。这样的测量可以解释为中微子非标准相互作用的探针，该探针与其他测试（例如振荡和相干中微子核散射）的限制相辅相成。
In detecting neutrinos from the Large Hadron Collider, FASER$ν$ will record the most energetic laboratory neutrinos ever studied. While charged current neutrino scattering events can be cleanly identified by an energetic lepton exiting the interaction vertex, neutral current interactions are more difficult to detect. We explore the potential of FASER$ν$ to observe neutrino neutral current scattering $νN \to νN$, demonstrating techniques to discriminate neutrino scattering events from neutral hadron backgrounds as well as to estimate the incoming neutrino energy given the deep inelastic scattering final state. We find that deep neural networks trained on kinematic observables allow for the measurement of the neutral current scattering cross section over neutrino energies from 100 GeV to several TeV. Such a measurement can be interpreted as a probe of neutrino non-standard interactions that is complementary to limits from other tests such as oscillations and coherent neutrino-nucleus scattering.
