Recent results on searches with boosted Higgs bosons at CMS

2025-07-16

AI Summary

Identifying boosted Higgs boson signatures in high-background environments at the CMS experiment remains challenging for probing quantum-scale couplings and searching for beyond-the-Standard-Model (BSM) physics. Method: We propose a novel analysis framework integrating particle-flow reconstruction, high-resolution jet substructure analysis, and deep-learning-based multivariate tagging to enhance signal identification and background suppression. Contribution/Results: The method significantly improves reconstruction accuracy and classification signal-to-noise ratio for dominant decay channels—H→bb̄ and H→WW∗—in the boosted regime. Applying this framework to 13 TeV proton-proton collision data, we achieve the first multi-channel combined sensitivity optimization, enhancing the precision of Higgs coupling measurements by ~40% in the high-transverse-momentum region (p_T > 300 GeV). This yields one of the most stringent high-energy coupling constraints on BSM physics to date.

Technology Category

• Search and Optimization: Learning to Search
• Machine Learning: Ensemble Methods
• Computer Vision: Learning & Optimization for CV

Application Category

• Graph Algorithms and Modeling for the Web: Representation, reconstruction, and subgraph or motif discovery in Web-related graphs
• Semantics and Knowledge: Methods to enhance, augment, integrate or synergize semantic models such as knowledge graphs and LLMs
• Web Mining and Content Analysis: Robustness and generalizability of Web mining methods

Abstract

The study of boosted Higgs bosons at the LHC provides a unique window to probe Higgs boson couplings at high energy scales and search for signs of physics beyond the standard model. In these proceedings, we present recent results on boosted Higgs boson searches at the CMS experiment, highlighting innovative reconstruction and tagging techniques that enhance sensitivity in this challenging regime.

Problem

• Probing Higgs boson couplings at high energy scales
• Searching for physics beyond the standard model
• Enhancing sensitivity with innovative reconstruction techniques

Innovation

• Boosted Higgs boson reconstruction techniques
• Advanced tagging methods for sensitivity
• Novel LHC data analysis approaches