CERN Accelerating science

Preprint
Report number	arXiv:2306.09873
Title	Development of the Topological Trigger for LHCb Run 3
Author(s)	Schulte, Nicole (Tech. U., Dortmund (main)) ; Delaney, Blaise Raheem (MIT) ; Nolte, Niklas (MIT) ; Ciezarek, Gregory Max (CERN) ; Albrecht, Johannes (Tech. U., Dortmund (main)) ; Williams, Mike (MIT)
Imprint	2023-06-16
Number of pages	7
Subject category	physics.data-an ; Other Fields of Physics ; hep-ex ; Particle Physics - Experiment
Abstract	The data-taking conditions expected in Run 3 of the LHCb experiment at CERN are unprecedented and challenging for the software and computing systems. Despite that, the LHCb collaboration pioneers the use of a software-only trigger system to cope with the increased event rate efficiently. The beauty physics programme of LHCb is heavily reliant on topological triggers. These are devoted to selecting beauty-hadron candidates inclusively, based on the characteristic decay topology and kinematic properties expected from beauty decays. The following proceeding describes the current progress of the Run 3 implementation of the topological triggers using Lipschitz monotonic neural networks. This architecture offers robustness under varying detector conditions and sensitivity to long-lived candidates, improving the possibility of discovering New Physics at LHCb.
Other source	Inspire
Copyright/License	preprint: (License: CC BY 4.0)