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Title: Evidence for single top quark production using Bayesian neural networks

Abstract

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.

Authors:
 [1]
  1. Florida State Univ., Tallahassee, FL (United States)
Publication Date:
Research Org.:
Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
927940
Report Number(s):
FERMILAB-THESIS-2007-58
TRN: US0804754
DOE Contract Number:  
AC02-07CH11359
Resource Type:
Thesis/Dissertation
Country of Publication:
United States
Language:
English
Subject:
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; CROSS SECTIONS; HYPOTHESIS; NEURAL NETWORKS; PRODUCTION; T QUARKS; Experiment-HEP

Citation Formats

Kau, Daekwang. Evidence for single top quark production using Bayesian neural networks. United States: N. p., 2007. Web. doi:10.2172/927940.
Kau, Daekwang. Evidence for single top quark production using Bayesian neural networks. United States. doi:10.2172/927940.
Kau, Daekwang. Mon . "Evidence for single top quark production using Bayesian neural networks". United States. doi:10.2172/927940. https://www.osti.gov/servlets/purl/927940.
@article{osti_927940,
title = {Evidence for single top quark production using Bayesian neural networks},
author = {Kau, Daekwang},
abstractNote = {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.},
doi = {10.2172/927940},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jan 01 00:00:00 EST 2007},
month = {Mon Jan 01 00:00:00 EST 2007}
}

Thesis/Dissertation:
Other availability
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