TrackML challenge Accuracy phase dataset (Tracking Machine Learning Challenge)

该数据集包含多个独立事件，其中每个事件都包含在 CERN 的大型强子对撞机的质子束之间的碰撞中产生的粒子的模拟测量值（本质上是 3D 点）。跟踪机器学习挑战的目标是将记录的测量值或每个事件的命中分组到轨迹中，即属于同一初始粒子的命中集。解决方案必须将每个点击唯一地关联到一个轨道。训练数据集包含记录的命中、它们的地面实况对应物及其与粒子的关联，以及这些粒子的初始参数。测试数据集仅包含记录的命中。该数据集用于 Kaggle 跟踪机器学习挑战的准确性阶段。在主页 url 中查看更多详细信息。

This dataset contains multiple independent events, each holding simulated measurements (essentially 3D points) of particles produced in proton-proton collisions at CERN's Large Hadron Collider (LHC). The objective of the tracking machine learning challenge is to group the recorded measurements, or "hits", from each event into tracks—i.e., sets of hits that belong to the same initial particle. Solutions must uniquely associate each hit with a single track. The training dataset includes the recorded hits, their ground-truth counterparts, their associations with their parent particles, as well as the initial parameters of these particles. The test dataset only contains the recorded hits. This dataset is utilized for the accuracy phase of the Kaggle Tracking Machine Learning Challenge. For more details, please refer to the homepage URL.

搜集汇总

背景与挑战

背景概述

该数据集用于Kaggle跟踪机器学习挑战的准确性阶段，包含CERN大型强子对撞机质子碰撞事件的模拟测量数据（3D点），旨在将命中分组到轨迹中。训练集提供命中、地面实况和粒子关联，而测试集仅包含命中。