利用穿越宇宙缪子重建表面液态氩时间投影室的高保真光产额图
Reconstructing High-Fidelity Light Yield Maps for Surface LArTPCs Using Crossing Cosmic Muons
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中文总结 AI 辅助
该研究提出利用穿越宇宙缪子的方法，结合非负最小二乘与L2平滑正则化，重建表面LArTPC的高保真三维光产额图，其体素RMSE较真值参考降低约44%，可优化探测器相关性能。
中文摘要 AI 辅助
液态氩时间投影室（LArTPC）中的光子探测系统提供瞬发闪烁光信息，可用于优化触发、定时、量能和相互作用重建，这些应用需要了解探测到的光产额（LY）的空间依赖性，而单一探测器范围的平均值无法充分描述该特性。本文提出一种利用穿越宇宙缪子重建表面LArTPC的体素化三维光产额图的方法：对每个选定的缪子，利用最小电离粒子近似将其穿过每个体素的路径长度转换为沉积能量，构建将未知体素光产额与总探测光子信号关联的线性方程组；通过非负最小二乘法求解该逆问题，额外引入L2平滑惩罚项以稳定约束较弱的体素值。在仿真中采用ProtoDUNE-VD探测器几何结构和光子探测系统对该方法进行验证，重建的光产额图可恢复基于可见度的真值参考的主导空间结构，且对光子探测器配置的变化有预期响应；在选定的正则化强度下，平滑正则化减少了零值体素和局部波动，同时探测器平均光产额基本保持不变，正则化重建相对于真值参考的体素均方根误差降低了约44%。
英文摘要
Photon detection systems in liquid argon time projection chambers provide prompt scintillation light information that can improve triggering, timing, calorimetry, and interaction reconstruction. These applications require an understanding of the spatial dependence of the detected light yield (LY), which is not adequately described by a single detector-wide average. We present a method for reconstructing voxelized 3D light yield maps in surface LArTPCs using crossing cosmic muons. For each selected muon, the path length through every crossed voxel is converted to deposited energy using a minimum ionizing particle approximation, producing a linear system relating the unknown voxel light yields to the total detected photon signal. The resulting inverse problem is solved using nonnegative least squares, with an additional $L_2$ smoothness penalty used to stabilize weakly constrained voxel values. The method is studied in simulation using the ProtoDUNE-VD detector geometry and photon detection system. Reconstructed maps recover the dominant spatial structure of a visibility-based truth reference and respond as expected to changes in the photon detector configuration. Smoothness regularization reduces zero-valued voxels and localized fluctuations while leaving the detector-average light yield approximately unchanged at the selected regularization strengths. The voxel-wise RMSE relative to the truth reference is reduced by approximately 44% for the regularized reconstruction.
