Results of Single Top analysis with 0.7 fb-1 of CDF II data
Sarah Buddb, Matthias Bühlerc, Thorsten Chwalekc, Catalin Ciobanub, Peter Donga,
Richard Hughesd, Thomas Junkb, Kevin Lannond, Jan Lückc, Thomas Müllerc,
Svenja Richterc, Jason Slaunwhited, Bernd Stelzera, Jeannine Wagnerc, Wolfgang Wagnerc
aUniversity of California, Los Angeles
bUniversity of Illinois, Urbana-Champaign
cUniversität Karlsruhe
dOhio State University, Columbus
E-mail list of authors
We report results from a search for single-top-quark production in a 0.7 fb-1 dataset accumulated with the CDF II detector. We employ two different multivariate techniques to analyze the data, one using neural-networks discriminants and the other using a multivariate likelihood. Neither method finds a significant evidence of a signal, and 95% confidence level limits are set under various scenarios.
technique sigma (t + s-Channel) sigma (t-Channel) sigma (s-Channel)
neural networks
upper limits
< 3.4 pb @ 95% C.L. < 3.1 pb @ 95% C.L. < 3.2 pb @ 95% C.L.
multivariate likelihood
upper limit
< 4.3 pb @ 95% C.L. < 2.9 pb @ 95% C.L. < 5.1 pb @ 95% C.L.
neural networks
best fit
0.8 +1.3-0.8 (stat.) +0.2-0.3 (syst.) pb 0.6 +1.9-0.6 (stat.) +0.1-0.1 (syst.) pb 0.3 +2.2-0.3 (stat.) +0.5-0.3 (syst.) pb
Description of our analysis. (ps)
Our single top results were approved (blessed) by CDF on Thursday 03/16/2006.

General Results
Tables (1)
Event Yield:
EPS   GIF

Systematics Rate Uncertainty (Abbr.):
EPS   GIF

Systematics Rate Uncertainty (not Abbr.):
EPS   GIF
Tables (2)
Systematics Shape Uncertainty (Abbr.):
EPS   GIF

Systematics Shape Uncertainty (not Abbr.):
EPS   GIF

Summary of Upper Limits:
EPS   GIF
Neural Networks b-tagger:
W + 1jet
EPS   GIF

W + 2jet
EPS   GIF

W + 3jet
EPS   GIF
Data Monte Carlo comparison:
Top Mass:
EPS   GIF

Q*Eta:
EPS   GIF

Ht:
EPS   GIF
Data Monte Carlo comparison:
cos(Theta(q,l)):
EPS   GIF
Neural Network Technique Results
Multivariate Likelihood Technique Results
Link to Results of Single Top Analysis with 162 pb-1
main

Last modified: Wed Apr 19 15:25:34 CEST 2006 by Matthias Bühler (mbuehler @ fnal.gov)