267 citations · 455 across the 12 of their papers we have counts for
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hep-ex2021
A Neural-Network-defined Gaussian Mixture Model for particle identification applied to the LHCb fixed-target programme
Giacomo Graziani, Lucio Anderlini, Saverio Mariani +3
Particle identification in large high-energy physics experiments typically relies on classifiers obtained by combining many experimental observables. Predicting the probability den…
physics.ins-det2021
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…
hep-ex2021
Search for the doubly heavy baryons and decaying to and
LHCb collaboration, R. Aaij, C. Abellán Beteta +900
The first search for the doubly heavy baryon and a search for baryon are performed using collision data collected via the LHCb experiment…