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

优化深层地下中微子实验中超新星中微子的重建和分析

• 批准号: 2737476
• 金额: --
• 依托单位: University of Warwick
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2737476
• 关键词: Optimising; reconstruction; analysis; supernova; neutrinos

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.

深层地下中微子实验（DUNE）将在巨大的规模上操作尖端的液氩时间投影室（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40 kt的LArTPC探测器模块将位于南达科他州的桑福德地下研究设施的地下深处。DUNE的一个关键目标是使用大规模LArTPC探测器来搜索超新星中微子爆发。如果在DUNE的生命周期内，我们的银河系内发生了核心坍缩超新星，那么对低能中微子通量的测量将提供有关核心坍缩早期阶段的丰富新信息。DUNE的目标是测量中微子爆发的味道，能量和时间结构，这可能是几十秒的长度，包括所有味道的中微子，能量为几十兆电子伏。在这个项目中，潘多拉多算法模式识别软件将被部署、调整和开发，以根据LArTPC探测器记录的图像优化这种低能中微子的重建。现有的Pandora算法将被重新调整，全新的算法将被设计和实施，对重建的影响将被仔细记录。高层次的重建也将被审查和优化，包括重建中微子方向和能量等关键属性。然后，优化的事件重建将用于DUNE分析的背景下，与DUNE低能物理工作组一起测量对核心塌陷超新星物理学的敏感性。