Double-charming Higgs boson identification using machine-learning assisted jet shapes

Lenz, Alexander; Spannowsky, Michael; Tetlalmatzi-Xolocotzi, Gilberto

Abstract

We study the possibility of identifying a boosted resonance that decays into a charm pair against different sources of background using QCD event shapes, which are promoted to jet shapes. Using a set of jet shapes as input to a boosted decision tree, we find that observables utilizing the simultaneous presence of two charm quarks can access complementary information compared to approaches relying on two independent charm tags. Focusing on Higgs associated production with subsequent H → cc¯ decay and on a CP-odd scalar A with mA ≤ 10 GeV we obtain the limits BrðH → cc¯Þ ≤ 6.48% and BrðH → Að→ cc¯ÞZÞ ≤ 0.01% at 95% C.L.

Citation

Lenz, A., Spannowsky, M., & Tetlalmatzi-Xolocotzi, G. (2018). Double-charming Higgs boson identification using machine-learning assisted jet shapes. Physical Review D, 97(1), Article 016001. https://doi.org/10.1103/physrevd.97.016001

• Journal Article Type: Article
• Acceptance Date: Oct 12, 2017
• Online Publication Date: Jan 9, 2018
• Publication Date: Jan 9, 2018
• Deposit Date: Jan 25, 2018
• Publicly Available Date: Jan 25, 2018
• Journal: Physical Review D
• Print ISSN: 2470-0010
• Electronic ISSN: 2470-0029
• Publisher: American Physical Society
• Peer Reviewed: Peer Reviewed
• Volume: 97
• Issue: 1
• Article Number: 016001
• DOI: https://doi.org/10.1103/physrevd.97.016001
• Public URL: https://durham-repository.worktribe.com/output/1367729