264 citations · 1.6k across the 42 of their papers we have counts for
39 papers · 1 filter
Better Queries, Cheaper Attention: Adapting Transformers for Efficient Sparse Reconstruction
Philippa Duckett, Samuel Van Stroud, Max Hart +2
Query-based transformer decoders are effective for object reconstruction from sparse scientific sensor measurements, but their scalability to high-multiplicity data is limited by f…
GLOW: A Unified Particle Flow Transformer
Dmitrii Kobylianskii, Samuel Van Stroud, Kwok Yiu Wong +5
We present GLOW, a transformer-based particle flow model that combines incidence matrix supervision from HGPflow with a MaskFormer architecture. Evaluated on CLIC detector simulati…
Transformers for Charged Particle Track Reconstruction in High Energy Physics
Samuel Van Stroud, Philippa Duckett, Max Hart +4
Reconstructing charged particle tracks is a fundamental task in modern collider experiments. The unprecedented particle multiplicities expected at the High-Luminosity Large Hadron…
Secondary Vertex Reconstruction with MaskFormers
Samuel Van Stroud, Nikita Pond, Max Hart +4
In high-energy particle collisions, the reconstruction of secondary vertices from heavy-flavour hadron decays is crucial for identifying and studying jets initiated by - or -…
Reconstructing charged particle track segments with a quantum-enhanced support vector machine
Philippa Duckett, Gabriel Facini, Marcin Jastrzebski +3
Reconstructing the trajectories of charged particles from the collection of hits they leave in the detectors of collider experiments like those at the Large Hadron Collider (LHC) i…
On the Model Dependence of Fiducial Cross Section Measurements in View of Reinterpretations
Gabriel Facini, Kyrylo Merkotan, Matthias Schott +1
Fiducial production cross sections measurements of Standard Model processes, in principle, provide constraints on new physics scenarios via a comparison of the predicted Standard M…