SciPost Submission Page
Advancing the CMS Level-1 Trigger: Jet Tagging with DeepSets at the HL-LHC
by Stella Schaefer, Christopher Brown, Duc Hoang, Sioni Summers, Sebastian Wuchterl
Submission summary
| Authors (as registered SciPost users): | Stella Felice Schaefer |
| Submission information | |
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| Preprint Link: | https://arxiv.org/abs/2509.24371v2 (pdf) |
| Date submitted: | Nov. 21, 2025, 9:44 a.m. |
| Submitted by: | Stella Felice Schaefer |
| Submitted to: | SciPost Physics Proceedings |
| Proceedings issue: | The 2nd European AI for Fundamental Physics Conference (EuCAIFCon2025) |
| Ontological classification | |
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| Academic field: | Physics |
| Specialties: |
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| Approach: | Experimental |
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.
List of changes
Changes made for this resubmission:
Remove ROC OvR and 4b mHH performance showcase plots and slight changes to the texts that reference these plots
Include more detailed information on deployment on FPGA + reference to FPGA specifications
add information on training, validation, testing splitting
Fig. abbreviation -> Figure
add footnote containing GitHub reference
Remove ROC OvR and 4b mHH performance showcase plots and slight changes to the texts that reference these plots
Include more detailed information on deployment on FPGA + reference to FPGA specifications
add information on training, validation, testing splitting
Fig. abbreviation -> Figure
add footnote containing GitHub reference
Current status:
Voting in preparation