Data Augmentation at the LHC through Analysis-specific Fast Simulation with Deep Learning: W+jet training/test dataset
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W+jet events at generator and reconstruction level, used to train analysis-specific generative models. Events are represented as an array of relevant high-level features. Reco objects are matched to Gen objects and a minimal selection is applied to define the generator support in the N-dim space identified by the input features. About 2M events, used for training/validation/testing Details in https://arxiv.org/abs/2010.01835
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Zenodo创建时间：
2020-10-12
