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Title: Interaction networks for the identification of boosted H → $$b\overline b$$ decays

Journal Article · · Physical Review. D.
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We develop an algorithm based on an interaction network to identify high-transverse-momentum Higgs bosons decaying to bottom quark-antiquark pairs and distinguish them from ordinary jets that reflect the configurations of quarks and gluons at short distances. The algorithm's inputs are features of the reconstructed charged particles in a jet and the secondary vertices associated with them. Describing the jet shower as a combination of particle-to-particle and particle-to-vertex interactions, the model is trained to learn a jet representation on which the classification problem is optimized. The algorithm is trained on simulated samples of realistic LHC collisions, released by the CMS Collaboration on the CERN Open Data Portal. The interaction network achieves a drastic improvement in the identification performance with respect to state-of-the-art algorithms.

Research Organization:
Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
Sponsoring Organization:
USDOE Office of Science (SC), High Energy Physics (HEP); Kavli Foundation; NVIDIA; SuperMicro; European Research Council (ERC); Taylor W. Lawrence Research Fellowship; Mellon Mays Research Fellowship
Grant/Contract Number:
SC0011925; AC02-07CH11359; 772369
OSTI ID:
1643742
Alternate ID(s):
OSTI ID: 1571809
Report Number(s):
arXiv:1909.12285; FERMILAB-PUB-19-492-CMS-E; PRVDAQ; 012010
Journal Information:
Physical Review. D., Journal Name: Physical Review. D. Vol. 102 Journal Issue: 1; ISSN 2470-0010
Publisher:
American Physical Society (APS)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 29 works
Citation information provided by
Web of Science

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Figures / Tables (15)

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Related Subjects

72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS