1.3k citations · 21.1k across the 279 of their papers we have counts for
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Promising Technologies and R&D Directions for the Future Muon Collider Detectors
Sergo Jindariani, Federico Meloni, Nadia Pastrone +58
Among the post-LHC generation of particle accelerators, the muon collider represents a unique machine with capability to provide very high energy leptonic collisions and to open th…
Evolution of the energy efficiency of LHCb's real-time processing
Roel Aaij, Daniel Hugo Cámpora Pérez, Tommaso Colombo +7
The upgraded LHCb detector, due to start datataking in 2022, will have to process an average data rate of 4~TB/s in real time. Because LHCb's physics objectives require that the fu…
A Comparison of CPU and GPU implementations for the LHCb Experiment Run 3 Trigger
R. Aaij, M. Adinolfi, S. Aiola +157
The LHCb experiment at CERN is undergoing an upgrade in preparation for the Run 3 data taking period of the LHC. As part of this upgrade the trigger is moving to a fully software i…
A parallel-computing algorithm for high-energy physics particle tracking and decoding using GPU architectures
Placido Fernandez Declara, Daniel Hugo Cámpora Pérez, Javier Garcia-Blas +3
Real-time data processing is one of the central processes of particle physics experiments which require large computing resources. The LHCb (Large Hadron Collider beauty) experimen…