Data

TrackFormers - Collision Event Data Sets

Uraz Odyurt, Nadezhda Dobreva

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.

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Metadata

Type:
Data
Year:
2024
Repository:
Zenodo
DOI:
10.5281/zenodo.14386133

Links

Licence

Creative Commons Attribution (CC BY) licence Artefacts shared as PDF are licenced under CC BY 4.0.