Evidence for single top quark production using Bayesian neural networks
- Florida State Univ., Tallahassee, FL (United States)
We present results of a search for single top quark production in p$$\bar{p}$$ collisions using a dataset of approximately 1 fb-1 collected with the D0 detector. This analysis considers the muon+jets and electron+jets final states and makes use of Bayesian neural networks to separate the expected signals from backgrounds. The observed excess is associated with a p-value of 0.081%, assuming the background-only hypothesis, which corresponds to an excess over background of 3.2 standard deviations for a Gaussian density. The p-value computed using the SM signal cross section of 2.9 pb is 1.6%, corresponding to an expected significance of 2.2 standard deviations. Assuming the observed excess is due to single top production, we measure a single top quark production cross section of σ(p$$\bar{p}$$ → tb + X, tqb + X) = 4.4 ± 1.5 pb.
- Research Organization:
- Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC02-07CH11359
- OSTI ID:
- 927940
- Report Number(s):
- FERMILAB-THESIS-2007-58; TRN: US0804754
- Country of Publication:
- United States
- Language:
- English
Similar Records
Measurement of the single top production cross section in proton-antiproton collisions at 1.96 TeV
Evidence for production of single top quarks