1 citations · 1 across the 3 of their papers we have counts for
3 papers
Real-time lepton identification at LHCb in Run 3 using Lipschitz neural networks
Adrian Casais Vidal, Kate A. Richardson, Maarten Van Veghel +3
The LHCb physics program in Run 3 relies critically on the efficient real-time selection of events containing muons and electrons, which are key signatures in a wide range of heavy…
Decorrelation of neural networks from particle lifetimes in the LHCb topological trigger
Johannes Albrecht, Alessandro Bertolin, James Connaughton +13
The LHCb topological beauty trigger is the primary set of algorithms for selecting collision events containing -hadrons in the fully software-based LHCb trigger. The algorithms…
Applications of Lipschitz neural networks to the Run 3 LHCb trigger system
Blaise Delaney, Nicole Schulte, Gregory Ciezarek +3
The operating conditions defining the current data taking campaign at the Large Hadron Collider, known as Run 3, present unparalleled challenges for the real-time data acquisition…