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Improving combinatorial ambiguities of t(t) over bar events using neural networks

Title
Improving combinatorial ambiguities of t(t) over bar events using neural networks
Authors
Shim, Ji HyunLee, Hyun Su
Ewha Authors
이현수
SCOPUS Author ID
이현수scopusscopus
Issue Date
2014
Journal Title
PHYSICAL REVIEW D
ISSN
2470-0010JCR Link2470-0029JCR Link
Citation
vol. 89, no. 11
Publisher
AMER PHYSICAL SOC
Indexed
SCI; SCIE; SCOPUS WOS scopus
Abstract
We present a method for resolving the combinatorial issues in the t(t) over bar lepton + jets events occurring at the Tevatron collider. By incorporating multiple information into an artificial neural network, we introduce a novel event reconstruction method for such events. We find that this method significantly reduces the number of combinatorial ambiguities. Compared to the classical reconstruction method, our method provides significantly higher purity with the same efficiency. We illustrate the reconstructed observables for the realistic top-quark mass and the forward-backward asymmetry measurements. A Monte Carlo study shows that our method provides meaningful improvements in the top-quark measurements using the same amount of data as other methods.
DOI
10.1103/PhysRevD.89.114023
Appears in Collections:
자연과학대학 > 물리학전공 > Journal papers
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