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Title: A measurement of t$$\bar{t}$$ production cross section in p$$\bar{p}$$ collisions at √s = 1.8 TeV using neural networks

Thesis/Dissertation ·
DOI:https://doi.org/10.2172/756634· OSTI ID:756634
 [1]
  1. Univ. of California, Riverside, CA (United States)

The authors present the results of a new measurement of the t$$\bar{t}$$ production cross section using eμ channel in p$$\bar{p}$$ collisions at √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 1 (1992--1996). By using neural network techniques instead of the conventional analysis methods, the authors show that the signal acceptance can be increased by 10% (for mt = 172 GeV/c2) 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)
OSTI ID:
756634
Resource Relation:
Other Information: TH: Thesis (Ph.D.); Submitted to Univ. of California, Riverside, CA (US); PBD: 16 Jun 2000
Country of Publication:
United States
Language:
English