Development of the Topological Trigger for LHCb Run 3
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.
Cite
@article{arxiv.2306.09873,
title = {Development of the Topological Trigger for LHCb Run 3},
author = {Nicole Schulte and Blaise Raheem Delaney and Niklas Nolte and Gregory Max Ciezarek and Johannes Albrecht and Mike Williams},
journal= {arXiv preprint arXiv:2306.09873},
year = {2023}
}