Characterization of event populations in the complete LZ data regime

完整 LZ 数据体系中事件总体的表征

• 批准号: 2881031
• 金额: --
• 依托单位: University of Oxford
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2881031
• 关键词: Characterization; event; populations; complete; LZ

Anthony's first year project will be studying the data collected in the "Oxford sensor" housekeeping data to evaluate its application to data quality and calibration studies. His broader topic will be to understand all of the event populations in LZ, bringing together many threads of analysis strengths in our group. Lz of course focuses upon a limited number of windows in our data: single scatter events in our dark matter ROI and similar single scatters at pertinent neutrino physics energies (for double electron capture and neutrinoless double beta decay, for instance). Although background model fits are done across wider energy regions, and neutron calibrations are studies for their multiple scatters, a great deal of the LZ data is not given this same scrutiny. This thesis project will seek to unify the known event populations with the detector effects and backgrounds to give a complete picture of the emitted scintillation light and ionized electrons in the detector: do the Geant4 predictions for multiple gamma-ray scatters match across the spectrum to our data? Are there additional patterns to the light and charge emission that can become accidental coincident events? In this work we can also provide clearer data from LZ, one of the 'quietest' detectors ever constructed, that can place limits of new physics over a broader range, allowing more models to be tested. This broad approach to the data will also inform planning for a future XLZD detector, as we understand various event scalings (volume, various surface areas, etc) and look for effects that may emerge to greater prominence in a larger detector. However, we will also position this project nimbly, and if a particular population of events requires greater study, it may dominate the effort.

安东尼的第一年项目将研究“牛津传感器”管家数据收集的数据，以评估其在数据质量和校准研究中的应用。他更广泛的主题将是了解LZ的所有事件群体，将我们小组的许多分析优势结合在一起。Lz当然专注于我们数据中有限数量的窗口：暗物质ROI中的单散射事件和相关中微子物理能量（例如双电子捕获和无中微子双β衰变）的类似单散射事件。虽然背景模型拟合是在更宽的能量区域进行的，中子校准是针对它们的多重散射体进行的研究，但大量的LZ数据没有得到同样的审查。本论文项目将寻求将已知事件群与探测器效应和背景统一起来，以给出探测器中发射的闪烁光和电离电子的完整图像：Geant4对多个伽马射线散射的预测是否与我们的数据相匹配？光和电荷发射是否有其他模式可以成为偶然的巧合事件？在这项工作中，我们还可以提供来自LZ的更清晰的数据，LZ是迄今为止建造的“最安静”的探测器之一，它可以在更广泛的范围内限制新物理，允许更多的模型进行测试。这种广泛的数据处理方法还将为未来的XLZD探测器的规划提供信息，因为我们了解各种事件缩放（体积、各种表面积等），并寻找在更大的探测器中可能出现的更突出的影响。然而，我们也会灵活地定位这个项目，如果一个特定的事件群体需要更多的研究，它可能会主导工作。