Search for single top quark production at DØ using neural networks

2001/06/14 by V. M. Abazov, DZero Collaboration, B. Abbott +99 · 1 citation
Physics and Astronomy · #Channel (broadcasting) #Collider #Computer science #Electroweak interaction #Fermilab #High-Energy Particle Collisions Research #Large Hadron Collider #Operating system #Particle physics #Particle physics theoretical and experimental studies #Physics #Process (computing) #Production (economics) #Quantum Chromodynamics and Particle Interactions #Quark #Set (abstract data type) #Telecommunications #Tevatron #Top quark #hep-ex

paper · pdf · doi:10.1016/s0370-2693(01)01009-7

published as Phys.Lett.B517:282-294,2001 · Submitted to Physics Letters B, 16 pages, 3 figures

arxiv created 2001/06/14 · openalex publication_date 2001/10/01 · arxiv updated 2010/05/28 · openalex created_date 2019/02/21 · openalex updated_date 2026/08/05

Abstract

We present a search for electroweak production of single top quarks in ≈90 pb −1 of data collected with the DØ detector at the Fermilab Tevatron collider. Using arrays of neural networks to separate signals from backgrounds, we set upper limits on the cross sections of 17 pb for the s-channel process p p ̄ →tb+X , and 22 pb for the t-channel process p p ̄ →tqb+X , both at the 95% confidence level.

Citations

• Observation of the Top Quark
• QCD and Yukawa corrections to single-top-quark production viaqq¯→tb¯
• Observation of Top Quark Production inp¯pCollisions with the Collider Detector at Fermilab
• Measurement of the Top Quark Pair Production Cross Section inpp¯Collisions
• Review of Particle Physics

Cited by

• On the impact of selected modern deep-learning techniques to the performance and celerity of classification models in an experimental high-energy physics use case