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Title: Study of b anti-b Production in e{sup +}e{sup -} Annihilation at S**(1/2) = 29-GeV with the Aid of Neural Networks

Abstract

We present a measurement of {sigma}(b{bar b})/{sigma}(q{bar q}) in the annihilation process e{sup +}e{sup -} {yields} q{bar q} {yields} hadrons at {radical}s = 29 GeV. The analysis is based on 66 pb{sup -1} of data collected between 1984 and 1986 with the TPC/2{gamma} detector at PEP. To identify bottom events, we use a neural network with inputs that are computed from the 3-momenta of all of the observed charged hadrons in each event. We also present a study of bias in techniques for measuring inclusive {pi}{sup {+-}}, K{sup {+-}}, and p/{bar p} production in the annihilation process e{sup +}e{sup -} {yields} b{bar b} {yields} hadrons at {radical}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).

Authors:
Publication Date:
Research Org.:
SLAC National Accelerator Lab., Menlo Park, CA (United States)
Sponsoring Org.:
USDOE Office of Science (US)
OSTI Identifier:
826656
Report Number(s):
SLAC-R-680
TRN: US0403499
DOE Contract Number:  
AC03-76SF00515
Resource Type:
Technical Report
Resource Relation:
Other Information: PBD: 19 Dec 2003
Country of Publication:
United States
Language:
English
Subject:
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; 73 NUCLEAR PHYSICS AND RADIATION PHYSICS; ANNIHILATION; CHARGED PARTICLES; HADRONS; IONIZATION; NEURAL NETWORKS; PRODUCTION

Citation Formats

Lambert, D. Study of b anti-b Production in e{sup +}e{sup -} Annihilation at S**(1/2) = 29-GeV with the Aid of Neural Networks. United States: N. p., 2003. Web. doi:10.2172/826656.
Lambert, D. Study of b anti-b Production in e{sup +}e{sup -} Annihilation at S**(1/2) = 29-GeV with the Aid of Neural Networks. United States. https://doi.org/10.2172/826656
Lambert, D. 2003. "Study of b anti-b Production in e{sup +}e{sup -} Annihilation at S**(1/2) = 29-GeV with the Aid of Neural Networks". United States. https://doi.org/10.2172/826656. https://www.osti.gov/servlets/purl/826656.
@article{osti_826656,
title = {Study of b anti-b Production in e{sup +}e{sup -} Annihilation at S**(1/2) = 29-GeV with the Aid of Neural Networks},
author = {Lambert, D},
abstractNote = {We present a measurement of {sigma}(b{bar b})/{sigma}(q{bar q}) in the annihilation process e{sup +}e{sup -} {yields} q{bar q} {yields} hadrons at {radical}s = 29 GeV. The analysis is based on 66 pb{sup -1} of data collected between 1984 and 1986 with the TPC/2{gamma} detector at PEP. To identify bottom events, we use a neural network with inputs that are computed from the 3-momenta of all of the observed charged hadrons in each event. We also present a study of bias in techniques for measuring inclusive {pi}{sup {+-}}, K{sup {+-}}, and p/{bar p} production in the annihilation process e{sup +}e{sup -} {yields} b{bar b} {yields} hadrons at {radical}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).},
doi = {10.2172/826656},
url = {https://www.osti.gov/biblio/826656}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Dec 19 00:00:00 EST 2003},
month = {Fri Dec 19 00:00:00 EST 2003}
}