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.