A Search for Top Quark using Artificial Neural Networks

Amidi, Erfan

doi:10.2172/1156358

A Search for Top Quark using Artificial Neural Networks

Erfan Amidi
(
- Northeastern U.
)

Feb, 1996

140 pages

Supervisor:

Steve Reucroft

Thesis: PhD

Northeastern U.

(defense: Feb, 1996)

DOI:

10.2172/1156358

Report number:

FERMILAB-THESIS-1996-02

Experiments:

FNAL-E-0740

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Abstract:

The neural networks method has been applied to 75

pb^{-1}

of data collected by the D0 detector at Fermilab during the 1993-1995

p\overline{p}

collider run at

sqrt{s}

= 1.8 TeV, to isolate the top quark in the e+jets+

E_T

channel. It is shown that the neural networks method provides a higher signal-to-background result compared to conventional methods. The number of observed top events and the cross section are presented.

D0
thesis

References(31)

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