A universal vision transformer for fast calorimeter simulations -- Supplementary material

This repository contains supplementary material to "A universal vision transformer for fast calorimeter simulations". We include the full set of high-level features for the CaloChallenge and LEMURS datasets in zip files. For the LEMURS dataset, we also include the binning XML files used in the evaluation script.We also include the generated samples used for the evaluation of all the datasets studied in the paper: CaloChallenge: ds1-$\gamma$, ds1-$\pi^{+}$, ds2, ds3; LEMURS: full evaluation for the five detectors; CaloHadronic: sample of 20k showers for the down-sampled geometry. Feel free to contact us for questions and requests.Changelog:v1.1.0: Include generated samples and high-level features for the CaloChallenge ds2 from a network pretrained on the LEMURS dataset. This samples correspond to a network trained until convergence on the full ds2 training dataset.