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arXiv 2107.09103astro-ph.HE
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在IceCube中寻找具有级联事件的中微子源

A Search for Neutrino Sources with Cascade Events in IceCube

Steve Sclafani, Mirco Hünnefeld

摘要:

冰立方发现了天体物理学中微子流,最近又使用μ子中微子数据集来提供一个来源的证据;一个被称为TXS 0506+056的耀斑。然而,负责大部分天体物理中微子通量的来源仍然难以捉摸。开辟新的检测渠道可以提高灵敏度,增加发现潜力。在这项工作中,我们提出了一个新的中微子数据集严重依赖于深度神经网络(DNN)选择级联事件产生的中性电流相互作用的所有口味和带电电流相互作用的口味以外的μ子中微子。DNN处理的速度使得使用单个GPU近实时地选择事件成为可能。与μ子中微子事件相比,级联事件的角分辨率降低了,但是由此产生的数据集在南部天空中具有较低的能量阈值和较低的背景速率。与μ子中微子数据集相比,这些好处导致对南天来源的灵敏度提高了2-3倍。这个数据集是特别有前途的确定瞬态中微子源在南天和中微子生产从银河平面。

英文摘要:

IceCube has discovered a flux of astrophysical neutrinos, and more recently has used muon-neutrino datasets to present evidence for one source; a flaring blazar known as TXS 0506+056. However, the sources responsible for the majority of the astrophysical neutrino flux remain elusive. Opening up new channels for detection can improve sensitivity and increase the discovery potential. In this work we present a new neutrino dataset relying heavily on Deep-Neural-Networks (DNN) to select cascade events produced from neutral-current interactions of all flavors and charged-current interactions with flavors other than muon-neutrino. The speed of DNN processing makes it possible to select events in near realtime with a single GPU. Cascade events have reduced angular resolution when compared to muon-neutrino events, however the resulting dataset has a lower energy threshold in the southern sky and a lower background rate. These benefits lead to an factor of 2-3 improvement in sensitivity to sources in the Southern Sky when compared to muon-neutrino datasets. This dataset is particularly promising for identifying transient neutrino sources in the Southern Sky and neutrino production from the galactic plane.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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