Data Augmentation at the LHC through Analysis-specific Fast Simulation with Deep Learning: W+jet training/test dataset

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