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贝叶斯网络在Cygno光学TPC中的3D事件重建,用于直接检测暗物质

Fernando Domingues Amaro¹, Rita Antonietti^2,3, Elisabetta Baracchini^4,5

¹LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal.

The European physical journal. C, Particles and fields

|November 10, 2025

概括

一个新的贝叶斯网络算法使用光倍数信号重建了CYGNO实验中的粒子轨迹. 这种方法增强了用于定向暗物质搜索的3D事件重建.

科学领域:

实验性的粒子物理学.
天体物理学和宇宙学.

背景情况:

定向暗物质搜索需要精确的3D事件重建.
在CYGNO实验中,使用了带有光学读数的气体时间投影室.
现有的重建方法可能会从替代方法中受益.

研究的目的:

开发和验证一个基于贝叶斯网络的算法,用于仅使用光倍数信号进行3D事件重建.
推断粒子轨迹并提高定向暗物质检测能力.

主要方法:

开发了一个贝叶斯网络算法,以概率地建模光收集过程.
马尔科夫链蒙特卡洛采样被用于贝叶斯分析工具包中的后置推理.
该算法使用来自CYGNO LIME原型的数据进行了验证.

主要成果:

该算法使用光倍增器信号单独准确地重建局部化和扩展的直线轨道.
实现了粒子轨迹的强大的3D描述.
贝叶斯式方法显示了未来空间和能量分辨率改进的潜力.

结论:

开发的贝叶斯网络算法为定向暗物质搜索中的3D事件重建提供了强大的方法.
这种方法提高了具有高空间分辨率的核反弹轨道的识别.
将这种技术与摄像头数据相结合,可以进一步提高探测器性能.

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