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Precision calibration of calorimeter signals in the ATLAS experiment using an uncertainty-aware neural network / ATLAS Collaboration
The ATLAS experiment at the Large Hadron Collider explores the use of modern neural networks for a multi-dimensional calibration of its calorimeter signal defined by clusters of topologically connected cells (topo-clusters). [...]
arXiv:2412.04370 ; CERN-EP-2024-317. - 2024 - 72.
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Transformers for Charged Particle Track Reconstruction in High Energy Physics / Van Stroud, Samuel (U. Coll. London) ; Duckett, Philippa (U. Coll. London) ; Hart, Max (U. Coll. London) ; Pond, Nikita (U. Coll. London) ; Rettie, Sébastien (U. Coll. London ; CERN) ; Facini, Gabriel (U. Coll. London) ; Scanlon, Tim (U. Coll. London)
Reconstructing charged particle tracks is a fundamental task in modern collider experiments. [...]
arXiv:2411.07149. - 14.
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Reconstructing charged particle track segments with a quantum-enhanced support vector machine / Duckett, Philippa (University Coll. London ; U. Coll. London) ; Facini, Gabriel (University Coll. London ; U. Coll. London) ; Jastrzebski, Marcin (University Coll. London ; U. Coll. London) ; Malik, Sarah (University Coll. London ; U. Coll. London) ; Scanlon, Tim (University Coll. London ; U. Coll. London) ; Rettie, Sebastien (University Coll. London ; CERN)
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) is a challenging combinatorics problem and computationally intensive. The ten-fold increase in the delivered luminosity at the upgraded High Luminosity LHC will result in a very densely populated detector environment. [...]
arXiv:2212.07279.- 2024-03-01 - 10 p. - Published in : Phys. Rev. D 109 (2024) 052002 Fulltext: Publication - PDF; 2212.07279 - PDF;

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Vea también: autores con nombres similares
1	Duckett, P K
2	Duckett, Philippa Kathryn

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