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A New Trackster Linking Algorithm Based on Graph Neural Networks for the CMS Experiment at the Large Hadron Collider at CERN
The upcoming High-Luminosity Large Hadron Collider (HL-LHC) upgrade is set to increase the number of particle collisions, which presents a significant challenge to existing reconstruction algorithms. To address the associated rise in data complexity, the Compact Muon Solenoid (CMS) at LHC is develop...
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| Lenguaje: | eng |
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Czech Technical University in Prague
2023
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| Acceso en línea: | http://cds.cern.ch/record/2865866 |