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Observation of a rare beta decay of the charmed baryon with a Graph Neural Network. / The BESIII Collaboration ; Ачасов, Михаил Николаевич; Николаев, Иван Борисович и др.

в: Nature Communications, Том 16, № 1, 681, 15.01.2025.

Результаты исследований: Научные публикации в периодических изданияхстатьяРецензирование

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The BESIII Collaboration, Ачасов МН, Николаев ИБ, Мучной НЮ, Ablikim M. Observation of a rare beta decay of the charmed baryon with a Graph Neural Network. Nature Communications. 2025 янв. 15;16(1):681. doi: 10.1038/s41467-024-55042-y

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BibTeX

@article{e84f354bb01b48c78230d4b96790082c,
title = "Observation of a rare beta decay of the charmed baryon with a Graph Neural Network",
abstract = "The beta decay of the lightest charmed baryon Λ c + provides unique insights into the fundamental mechanism of strong and electro-weak interactions, serving as a testbed for investigating non-perturbative quantum chromodynamics and constraining the Cabibbo-Kobayashi-Maskawa (CKM) matrix parameters. This article presents the first observation of the Cabibbo-suppressed decay Λ c + → n e + ν e , utilizing 4.5 fb-1 of electron-positron annihilation data collected with the BESIII detector. A novel Graph Neural Network based technique effectively separates signals from dominant backgrounds, notably Λ c + → Λ e + ν e , achieving a statistical significance exceeding 10σ. The absolute branching fraction is measured to be (3.57 ± 0.34stat. ± 0.14syst.) × 10-3. For the first time, the CKM matrix element V c d is extracted via a charmed baryon decay as 0.208 ± 0.01 1 exp. ± 0.00 7 LQCD ± 0.00 1 τ Λ c + . This work highlights a new approach to further understand fundamental interactions in the charmed baryon sector, and showcases the power of modern machine learning techniques in experimental high-energy physics.",
author = "{BESIII Collaboration} and Ачасов, {Михаил Николаевич} and Николаев, {Иван Борисович} and Мучной, {Николай Юрьевич} and M. Ablikim",
note = "{\textcopyright} 2025. The Author(s).",
year = "2025",
month = jan,
day = "15",
doi = "10.1038/s41467-024-55042-y",
language = "English",
volume = "16",
journal = "Nature Communications",
issn = "2041-1723",
publisher = "Nature Publishing Group",
number = "1",

}

RIS

TY - JOUR

T1 - Observation of a rare beta decay of the charmed baryon with a Graph Neural Network

AU - BESIII Collaboration

AU - Ачасов, Михаил Николаевич

AU - Николаев, Иван Борисович

AU - Мучной, Николай Юрьевич

AU - Ablikim, M.

N1 - © 2025. The Author(s).

PY - 2025/1/15

Y1 - 2025/1/15

N2 - The beta decay of the lightest charmed baryon Λ c + provides unique insights into the fundamental mechanism of strong and electro-weak interactions, serving as a testbed for investigating non-perturbative quantum chromodynamics and constraining the Cabibbo-Kobayashi-Maskawa (CKM) matrix parameters. This article presents the first observation of the Cabibbo-suppressed decay Λ c + → n e + ν e , utilizing 4.5 fb-1 of electron-positron annihilation data collected with the BESIII detector. A novel Graph Neural Network based technique effectively separates signals from dominant backgrounds, notably Λ c + → Λ e + ν e , achieving a statistical significance exceeding 10σ. The absolute branching fraction is measured to be (3.57 ± 0.34stat. ± 0.14syst.) × 10-3. For the first time, the CKM matrix element V c d is extracted via a charmed baryon decay as 0.208 ± 0.01 1 exp. ± 0.00 7 LQCD ± 0.00 1 τ Λ c + . This work highlights a new approach to further understand fundamental interactions in the charmed baryon sector, and showcases the power of modern machine learning techniques in experimental high-energy physics.

AB - The beta decay of the lightest charmed baryon Λ c + provides unique insights into the fundamental mechanism of strong and electro-weak interactions, serving as a testbed for investigating non-perturbative quantum chromodynamics and constraining the Cabibbo-Kobayashi-Maskawa (CKM) matrix parameters. This article presents the first observation of the Cabibbo-suppressed decay Λ c + → n e + ν e , utilizing 4.5 fb-1 of electron-positron annihilation data collected with the BESIII detector. A novel Graph Neural Network based technique effectively separates signals from dominant backgrounds, notably Λ c + → Λ e + ν e , achieving a statistical significance exceeding 10σ. The absolute branching fraction is measured to be (3.57 ± 0.34stat. ± 0.14syst.) × 10-3. For the first time, the CKM matrix element V c d is extracted via a charmed baryon decay as 0.208 ± 0.01 1 exp. ± 0.00 7 LQCD ± 0.00 1 τ Λ c + . This work highlights a new approach to further understand fundamental interactions in the charmed baryon sector, and showcases the power of modern machine learning techniques in experimental high-energy physics.

UR - https://pubmed.ncbi.nlm.nih.gov/39814737/

UR - https://pmc.ncbi.nlm.nih.gov/articles/PMC11735802/

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-105002941330&origin=inward&txGid=d34e32f026391f8fc839054c859d94de

U2 - 10.1038/s41467-024-55042-y

DO - 10.1038/s41467-024-55042-y

M3 - Article

C2 - 39814737

VL - 16

JO - Nature Communications

JF - Nature Communications

SN - 2041-1723

IS - 1

M1 - 681

ER -

ID: 65301625