In high energy physics (HEP), jets are collections of correlated particles produced ubiquitously in particle collisions such as those at the CERN Large Hadron Collider (LHC). Machine learning (ML)-based generative models, such as generative adversarial networks (GANs), have the potential to significantly accelerate LHC jet simulations. However, despite jets having a natural representation as a set of particles in momentum-space, a.k.a. a particle cloud, there exist no generative models applied to such a dataset. In this work, we introduce a new particle cloud dataset (JetNet), and apply to it existing point cloud GANs. Results are evaluated using (1) 1-Wasserstein distances between high- and low-level feature distributions, (2) a newly developed Fr\'{e}chet ParticleNet Distance, and (3) the coverage and (4) minimum matching distance metrics. Existing GANs are found to be inadequate for physics applications, hence we develop a new message passing GAN (MPGAN), which outperforms existing point cloud GANs on virtually every metric and shows promise for use in HEP. We propose JetNet as a novel point-cloud-style dataset for the ML community to experiment with, and set MPGAN as a benchmark to improve upon for future generative models. Additionally, to facilitate research and improve accessibility and reproducibility in this area, we release the open-source JetNet Python package with interfaces for particle cloud datasets, implementations for evaluation and loss metrics, and more tools for ML in HEP development.
翻译:在高能物理学(HEP)中,喷气式喷气式喷气式喷气式喷气式喷气式收集的粒子在粒子碰撞中无处不在地产生的相关粒子,如CERN 大型高频对流器(LHC)中产生的粒子。基于机器学习(ML)的基因变异模型,如高低级特征分布网(GANs),有可能大大加速LHC喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式热式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式喷气式