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}
}