Advancing the CMS Level-1 Trigger: Jet Tagging with DeepSets at the HL-LHC
Instrumentation and Detectors
2025-11-21 v2 High Energy Physics - Experiment
Abstract
At the High Luminosity LHC, selecting important physics processes such as (di-) Higgs production will be a high priority. The Phase-2 Upgrade of the CMS Level-1 Trigger will reconstruct particle candidates and use pileup mitigation for the 200 simultaneous proton-proton interactions. A fast cone algorithm will reconstruct jets from these particles, providing access to jet constituents for the first time. We introduce a new multi-class jet tagger with a small, quantized DeepSets neural network. The tagger, trained on a mix of simulated CMS events, predicts various hadronic and leptonic classes. We present the tagger, its performance, and its improvements for triggering on (di-) Higgs events.
Cite
@article{arxiv.2509.24371,
title = {Advancing the CMS Level-1 Trigger: Jet Tagging with DeepSets at the HL-LHC},
author = {Stella Schaefer and Christopher Brown and Duc Hoang and Sioni Summers and Sebastian Wuchterl},
journal= {arXiv preprint arXiv:2509.24371},
year = {2025}
}