We use a neural-network technique to search for standard model single-top-quark production in the 106 pb(-1) dataset accumulated by the Collider Detector at Fermilab detector during the 1992-1995 collider run ("run I"). Using a sample of 64 W+1, 2, 3 jets events, we set a 95% confidence level upper limit of 24 pb on the W-gluon and W(*) combined single-top cross section.
Optimized search for single-top-quark production at the Fermilab Tevatron
INTROZZI, GIANLUCA;
2004-01-01
Abstract
We use a neural-network technique to search for standard model single-top-quark production in the 106 pb(-1) dataset accumulated by the Collider Detector at Fermilab detector during the 1992-1995 collider run ("run I"). Using a sample of 64 W+1, 2, 3 jets events, we set a 95% confidence level upper limit of 24 pb on the W-gluon and W(*) combined single-top cross section.File in questo prodotto:
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