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Title: Study of b$$\bar{b}$$ production in e+e- annihilation at √s = 29 GeV with the aid of neural networks

Thesis/Dissertation ·
DOI:https://doi.org/10.2172/10107431· OSTI ID:10107431
 [1]
  1. Univ. of California, Berkeley, CA (United States). Dept. of Physics

The author presents a measurement of σ(b$$\bar{b}$$)/σ(q$$\bar{q}$$) in the annihilation process e+e- → q$$\bar{q}$$ → hadrons at √s = 29 GeV. The analysis is based on 66 pb-1 of data collected between 1984 and 1986 with the TPC/2γ detector at PEP. To identify bottom events, he uses a neural network with inputs that are computed from the 3-momenta of all of the observed charged hadrons in each event. He also presents a study of bias in techniques for measuring inclusive π±, K±, and p/$$\bar{p}$$ production in the annihilation process e+e- → b$$\bar{b}$$ → hadrons at √s = 29 GeV, using a neural network to identify bottom-quark jets. In this study, charged particles are identified by a simultaneous measurement of momentum and ionization energy loss (dE/dx).

Research Organization:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
AC03-76SF00098
OSTI ID:
10107431
Report Number(s):
LBL-36353; ON: DE95004691; TRN: AHC29505%%138
Resource Relation:
Other Information: TH: Thesis (Ph.D.); PBD: Nov 1994
Country of Publication:
United States
Language:
English