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.

深地下中微子实验（Dune）将在巨大的规模上运行尖端的液体 - 阿贡时间预测室（LARTPC）探测器。 LARTPC探测器提供了前所未有的空间和量热分辨率，因此对检测器产生的图像的仔细分析有望提供一系列物理研究的高事件选择效率和低背景。总基准质量至少为40kt的LARTPC检测器模块将位于南达科他州的Sanford地下研究机构的地下深处。沙丘的一个关键目的是使用大型LARTPC检测器来寻找超新星中微子爆发。如果在沙丘的一生中，我们的银河系中发生了核心溢出的超新星，则测量低能量中微子的通量将提供有关核心崩溃早期阶段的大量新信息。沙丘旨在测量中微子爆发的风味，能量和时间结构，这可能是几十秒钟的长度，并包含所有口味的中微子，并具有几十MEV的能量。在这个项目中，将根据LARTPC探测器中记录的图像来优化这种低能中微子的重建，以优化这种低能中微子的重建，以优化这种低能中微子的重建，将部署，调整和开发Pandora Multi-Algorithm模式识别软件。现有的Pandora算法将进行重新调整，并将设计和实施全新的算法，并仔细记录了对重建的影响。高级重建也将进行审查和优化，包括重建的中微子方向和能量等关键特性。然后，将在沙丘分析的背景下使用优化的事件重建，以衡量对核心 - 循环超新星物理学的敏感性，并与Dune低能量物理工作组结合使用。