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New graph-neural-network flavor tagger for Belle II and measurement of \(\sin2\phi_1\) in \(B^0 \to...

New graph-neural-network flavor tagger for Belle II and measurement of \(\sin2\phi_1\) in \(B^0 \to...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2932603653

New graph-neural-network flavor tagger for Belle II and measurement of \(\sin2\phi_1\) in \(B^0 \to J/\psi K^0_\text{S}\) decays

About this item

Full title

New graph-neural-network flavor tagger for Belle II and measurement of \(\sin2\phi_1\) in \(B^0 \to J/\psi K^0_\text{S}\) decays

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2024-07

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

We present GFlaT, a new algorithm that uses a graph-neural-network to determine the flavor of neutral \(B\) mesons produced in \(\Upsilon(4S)\) decays. It improves previous algorithms by using the information from all charged final-state particles and the relations between them. We evaluate its performance using \(B\) decays to flavor-specific hadr...

Alternative Titles

Full title

New graph-neural-network flavor tagger for Belle II and measurement of \(\sin2\phi_1\) in \(B^0 \to J/\psi K^0_\text{S}\) decays

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2932603653

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2932603653

Other Identifiers

E-ISSN

2331-8422

DOI

10.48550/arxiv.2402.17260

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