TrackFormers: In Search of Transformer-Based Particle Tracking for the High-Luminosity LHC Era

High-Energy Physics experiments are facing a multi-fold data increase with every new iteration. This is certainly the case for the upcoming High-Luminosity LHC upgrade. Such increased data processing requirements forces revisions to almost every step of the data processing pipeline. One such step in...

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Veröffentlicht in:	arXiv.org 2024-12
Hauptverfasser:	Caron, Sascha, Dobreva, Nadezhda, Antonio Ferrer Sánchez, Martín-Guerrero, José D, Odyurt, Uraz, Roberto Ruiz de Austri Bazan, Wolffs, Zef, Zhao, Yue
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Data processing Datasets Large language models Luminosity Machine learning Particle tracking Performance prediction
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