TrackFormers - Collision Event Data Sets
[Contributors: Sascha Caron, Antonio Ferrer Sánchez, José D. Martin-Guerrero, Roberto Ruiz de Austri Bazan, Zef Wolffs, Yue Zhao]
Abstract
This artefact includes five individual data sets containing particle collision data in
virtual detector setups. These data sets are utilised for Machine Learning (ML) model
design and training within the publication “TrackFormers: In Search of
Transformer-Based Particle Tracking for the High-Luminosity LHC Era”. Three of the
data sets are generated using the REDuced VIrtual Detector (REDVID) simulation
framework. The other two are reduced versions of the TrackML data set. The full
TrackML data set is simulated using Pythia 8 event generator.
Refer to the provided README file for further details.