Abstract
Detector simulation in high energy physics experiments is a key yet computationally expensive step in the event simulation process. There has been much recent interest in using deep generative models as a faster alternative to the full Monte Carlo simulation process in situations in which the utmost accuracy is not necessary. In this work we investigate the use of conditional Wasserstein Generative Adversarial Networks to simulate both hadronization and the detector response to jets. Our model takes the 4-momenta of jets formed from partons post-showering and pre-hadronization as inputs and predicts the 4-momenta of the corresponding reconstructed jet. Our model is trained on fully simulated tt events using the publicly available GEANT-based simulation of the CMS Collaboration. We demonstrate that the model produces accurate conditional reconstructed jet transverse momentum (pT) distributions over a wide range of pT for the input parton jet. Our model takes only a fraction of the time necessary for conventional detector simulation methods, running on a CPU in less than a millisecond per event.
Highlights
Comparing theoretical predictions with experimental results in high energy particle collisions such as those produced at the LHC is a challenging problem
We refer to the reconstructed jets obtained from the GEANT4 simulation as the "true reco" jets, and the jets from the conditional Wasserstein Generative Adversarial Networks (cWGAN) as the "predicted reco" jets
The cWGAN is capable of producing realistic conditional distributions of reconstructed jet pT in time that is orders of magnitude less than the conventional detector simulation process
Summary
Comparing theoretical predictions with experimental results in high energy particle collisions such as those produced at the LHC is a challenging problem. When the first approach is taken and high accuracy is needed, studies use Monte Carlo (MC)-based detector simulators such as GEANT4 [1] This accuracy comes at a significant computational cost, and processing a single LHC event can take on the order of minutes. Several publicly available fast simulators such as Delphes [2] have been introduced as a quicker, lower fidelity, alternatives to the full MC simulations. Such fast simulators parameterize the detector response function RD, and randomly sample from RD for each particle in the event
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