DiJetGAN tuples
收藏NIAID Data Ecosystem2026-05-02 收录
下载链接：
https://zenodo.org/record/14983912
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资源简介：
A Generative-Adversarial Network (GAN) based on convolutional neural networks is used to simulate the production of pairs of jets at the LHC. The GAN is trained on events generated using MADGRAPH5, PYTHIA8, and DELPHES3 fast detector simulation. We demonstrate that a number of kinematic distributions both at Monte Carlo truth level and after the detector simulation can be reproduced by the generator network.
创建时间：
2025-03-06
