LHCO2020
收藏arXiv2021-07-07 更新2024-06-21 收录
下载链接：
https://doi.org/10.5281/zenodo.3596919
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资源简介：
LHCO2020数据集是由汉堡大学实验物理研究所等机构创建的，用于开发和评估群体异常检测算法的合成基准数据集。该数据集包含100万条数据，主要用于模拟粒子物理中的新粒子和力的检测。数据集通过高度验证的模拟工具生成，确保了数据的真实性和可用性。LHCO2020数据集的应用领域主要集中在粒子物理学，旨在通过无监督方法发现超出标准模型的新物理现象。
The LHCO2020 dataset is a synthetic benchmark dataset created by institutions including the Experimental Physics Institute of the University of Hamburg, intended for developing and evaluating group anomaly detection algorithms. It contains 1 million data instances, which are mainly used to simulate the detection of new particles and forces in particle physics. Generated with highly validated simulation tools, the dataset ensures the authenticity and usability of its data. The application of the LHCO2020 dataset is primarily concentrated in particle physics, with the goal of discovering new physical phenomena beyond the Standard Model through unsupervised methods.
提供机构：
汉堡大学实验物理研究所
创建时间：
2021-07-07
