REDVID Collision Event Data – Tracks and Hits

An example, representative data set is generated using the REDuced VIrtual Detector (REDVID) simulation framework and contains complexity-reduced subatomic particle collision event data. Particle trajectory information and hit coordinates from interactions with reduced-order virtual detector models is included. The data is generated in 3D domain and follows the cylindrical coordinate system for hit point coordinates in space and trajectory function parameters. The included five tarballs each belong to a different data generation recipe. While all recipes include 10000 collision events, the number of tracks included in events varies from 1 track per event to 10000 tracks per event. This is noticeable from the tarball names. The data set is intended to be used as synthesised input for research involving ML-assisted pipeline design exploration, as well as ML model design exploration, e.g., Neural Architecture Search (NAS). To understand the data and its generation in detail, refer to the provided README file, as well as the related publication. Note: Use the latest version!本示例代表性数据集基于精简虚拟探测器（REDuced VIrtual Detector，REDVID）仿真框架生成，包含经复杂度简化的亚原子粒子碰撞事件数据。数据集涵盖粒子径迹信息，以及与降阶虚拟探测器模型相互作用产生的击中坐标数据。所有数据均生成于三维空间，其空间击中坐标与径迹函数参数均采用柱坐标系进行定义。本次发布的五个tar包分别对应不同的数据生成配方。尽管所有配方均包含10000次碰撞事件，但每个事件所包含的径迹数量从单事件1条径迹至单事件10000条径迹不等，该差异可通过各tar包的名称直观体现。本数据集旨在作为合成输入数据，服务于机器学习辅助的管线设计探索、机器学习模型设计探索等相关研究，例如神经架构搜索（Neural Architecture Search，NAS）。如需深入了解该数据集及其生成细节，请参阅随附的README文件及相关学术文献。注意：请使用最新版本！