Optimising the reconstruction and analysis of supernova neutrinos at the Deep Underground Neutrino Experiment

深部地下中微子实验(DUNE)将在巨大的规模上操作尖端的液氮时间投影室(LArTPC)探测器。LArTPC探测器提供了前所未有的空间和量热分辨率，因此对探测器产生的图像进行仔细分析有望为一系列物理研究提供高事件选择效率和低背景。总基准质量至少为40kt的LArTPC探测器模块将安装在南达科他州桑福德地下研究设施的地下深处。沙丘的一个关键目标是使用大型LArTPC探测器来搜索超新星中微子爆发。如果我们的星系在沙丘的生命周期内发生核心塌陷超新星，对低能中微子流量的测量将提供大量关于核心塌陷早期阶段的新信息。沙丘的目标是测量中微子爆发的味道、能量和时间结构，中微子爆发的长度可能是几十秒，包括各种类型的中微子，能量为几十MeV。在这个项目中，将根据LArTPC探测器中记录的图像，部署、调整和开发Pandora多算法模式识别软件，以优化此类低能中微子的重建。现有的潘多拉算法将重新调整，全新的算法将被设计和实施，对重建的影响将仔细记录下来。高层重建也将被审查和优化，包括重建的中微子方向和能量等关键性质。优化后的事件重建将与沙丘低能物理工作组一起，在沙丘分析的背景下用于评估核心坍塌超新星物理的敏感性。

The Deep Underground Neutrino Experiment (DUNE) will operate cutting-edge liquid-argon time-projection chamber (LArTPC) detectors on an enormous scale. LArTPC detectors provide unprecedented spatial and calorimetric resolution, so careful analysis of the images produced by the detectors promises to deliver high event-selection efficiencies and low backgrounds for a range of physics studies. LArTPC detector modules with total fiducial mass of at least 40kt will be located deep underground, at the Sanford Underground Research Facility in South Dakota. A key aim for DUNE is to use the large-scale LArTPC detectors to search for supernova neutrino bursts. Should a core-collapse supernova occur within our galaxy during the lifetime of DUNE, measurement of the flux of low-energy neutrinos would provide a wealth of new information about the early stages of core collapse. DUNE aims to measure the flavour, energy and time structure of the neutrino burst, which may be a few tens of seconds in length and comprise neutrinos of all flavours, with energies of a few tens of MeV. In this project, the Pandora multi-algorithm pattern-recognition software will be deployed, tuned and developed to optimise the reconstruction of such low-energy neutrinos, based on the images recorded in the LArTPC detectors. Existing Pandora algorithms will be retuned, and all-new algorithms will be designed and implemented, with the impacts on the reconstruction documented carefully. The high-level reconstruction will also be reviewed and optimised, including such key properties as reconstructed neutrino directions and energies. The optimised event reconstruction will then be used in the context of a DUNE analysis to gauge the sensitivity to the physics of core-collapse supernova, in conjunction with the DUNE low-energy physics working group.