将模拟与实验点云数据无配对转换，提升探测器响应建模精度。
Unpaired Translation of Point Clouds for Modeling Detector Response
- 基于扩散概率模型，实现模拟与实验点云的无配对映射。
- 在合成数据和真实探测器数据上均验证了高保真转换效果。
- 适用于粒子探测器仿真优化，适合高能物理研究者。
时间投影室中的探测器响应建模是一项关键挑战。我们将该问题视为模拟数据与实验运行数据之间的无配对点云翻译任务。有效的翻译可助力降噪并构建高保真模拟器。受近期扩散概率模型启发，我们提出一种新框架来完成此映射。我们在合成域及主动靶时间投影室的真实数据上验证了该方法的有效性。
原文摘要 · Abstract (English)
Modeling detector response is a key challenge in time projection chambers. We cast this problem as an unpaired point cloud translation task, between data collected from simulations and from experimental runs. Effective translation can assist with both noise rejection and the construction of high-fidelity simulators. Building on recent work in diffusion probabilistic models, we present a novel framework for performing this mapping. We demonstrate the success of our approach in both synthetic domains and in data sourced from the Active-Target Time Projection Chamber.
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