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Title: A Measurement of $$t\bar{t}$$Production Cross Section in $$p\bar{p}$$ Collisions at $$\sqrt{s}$$ = 1.8 TeV Using Neural Networks

Thesis/Dissertation ·
DOI:https://doi.org/10.2172/1421495· OSTI ID:1421495

We present the results of a new measurement of the $$t\bar{t}$$ production cross section using eμ channel in pp collisions at $$\sqrt{s}$$= 1.8 TeV. This study corresponds to an integrated luminosity of 108.3 ± 5.7 $$pb^{-1}$$ acquired by the D0 detector during the Fermilab Tevatron Collider Run I (1992-1996). By using neural network techniques instead of the conventional analysis methods, we show that the signal acceptance can be increased by 10% (for $$m_t$$ = 172 GeV /$c^2$ ) while the background remains constant. Four eμ events are observed in data with an estimated background of 0.22 ± 0.14 corresponding to a $$t\bar{t}$$ production cross section of 9.75 ± 5.53 pb.

Research Organization:
Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Sponsoring Organization:
USDOE Office of Science (SC), High Energy Physics (HEP)
DOE Contract Number:
AC02-07CH11359
OSTI ID:
1421495
Report Number(s):
FERMILAB-THESIS-1999-22; UMI-99-54163; 516943
Country of Publication:
United States
Language:
English