23–28 Feb 2025
IBS
Asia/Seoul timezone

From boosted H→WW* taggers to inclusively pre-trained jet models at the LHC

25 Feb 2025, 15:00
30m
IBS

IBS

Speaker

Dawei Fu (Peking University)

Description

The SM and BSM searches via Lorentz-boosted jets are a key focus at the LHC, yet much of the potential phase space remains underexplored. In this talk, we first present the recent transformer-based tagger developed within CMS for SM H→WW* decays and demonstrate its superior performance. Building upon this, we introduce the next-generation Global Particle Transformer 3 (GloParT-3), designed to cover a broad phase space with 750 output nodes. We highlight its training philosophy, dubbed the Signature-Oriented Pre-training for Heavy-resonance ObservatioN (Sophon), and discuss the fine-tuning potential from its hidden layer scores. This new tagger not only improves tagging performance for boosted Higgs/Z/W/Top jets but also has advantages in detecting BSM resonances through direct tagging and fine-tuning, promising significant progress in jet tagging for future CMS analyses.

Primary authors

Congqiao Li (Peking University) Dawei Fu (Peking University)

Presentation materials