Using neural networks to enhance the Higgs boson signal at hadron colliders

Technical Report · Sun Dec 31 00:00:00 EST 1995

DOI:https://doi.org/10.2172/179288· OSTI ID:179288

Field, R D; Kanev, Y; Tayebnejad, M ^[1]; Griffin, P A ^[2]

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1. Univ. of Florida, Gainesville, FL (United States)
2. Rockefeller Univ., New York, NY (United States)

Neural networks are used to help distinguish the ZZ {yields} {ell}{sup +}{ell}{sup {minus}}-jet-jet signal produced by the decay of a 400 GeV Higgs boson at a proton-proton collider energy of 15 TeV from the ``ordinary`` QCD Z + jets background. The ideal case where only one event at a time enters the detector (no pile-up) and the case of multiple interactions per beam crossing (pile-up) are examined. In both cases, when used in conjunction with the standard cuts, neural networks provide an additional signal to background enhancement.

• Research Organization: Florida Univ., Gainesville, FL (United States). Inst. for Fundamental Theory
• Sponsoring Organization: USDOE, Washington, DC (United States)
• DOE Contract Number: FG05-86ER40272
• OSTI ID: 179288
• Report Number(s): DOE/ER/40272-228; UFIFT-HEP-95-11; ON: DE96004878; TRN: AHC29603%%114
• Resource Relation: Other Information: PBD: [1995]
• Country of Publication: United States
• Language: English

Related Subjects

44 INSTRUMENTATION
INCLUDING NUCLEAR AND PARTICLE DETECTORS
43 PARTICLE ACCELERATORS
99 MATHEMATICS
COMPUTERS
INFORMATION SCIENCE
MANAGEMENT
LAW
MISCELLANEOUS
PARTICLE DISCRIMINATION
NEURAL NETWORKS
HIGGS BOSONS
Z NEUTRAL BOSONS
PROTON-PROTON INTERACTIONS
RADIATION DETECTORS
DATA PROCESSING
WEAK PARTICLE DECAY
HADRONIC PARTICLE DECAY
PARTICLE PRODUCTION
TRIGGER CIRCUITS
PERFORMANCE