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

  • The BESIII collaboration
  • University of Science and Technology of China
  • CAS - Institute of High Energy Physics
  • University of Chinese Academy of Sciences
  • Nanjing Normal University
  • Fudan University
  • Nanjing University
  • University of Science and Technology Liaoning
  • Jilin University
  • Nankai University
  • Liaoning Normal University
  • Central China Normal University
  • Wuhan University
  • Shandong University
  • Sun Yat-Sen University
  • University of South China
  • Joint Institute for Nuclear Research
  • Moscow Institute of Physics and Technology
  • CAS - Institute of Modern Physics
  • Zhengzhou University
  • Yunnan University
  • North China Electric Power University
  • Hunan University
  • Lanzhou University
  • Tsinghua University
  • Henan University
  • Shanxi Normal University
  • Henan Normal University
  • University of the Punjab
  • Beihang University
  • Peking University
  • China Center of Advanced Science and Technology World Laboratory
  • Shanghai Jiao Tong University
  • Ministry of Education of the People's Republic of China
  • Yantai University
  • Soochow University
  • University of Jinan
  • Inner Mongolia University
  • Hangzhou Normal University
  • Ruhr University Bochum
  • Uppsala University
  • University of Oxford
  • University of Münster
  • Guangxi Normal University
  • Hebei University
  • Johannes Gutenberg University Mainz
  • Helmholtz Institute Mainz
  • Near East University
  • Sichuan University
  • China University of Geosciences, Wuhan
  • University of Turin
  • National Institute for Nuclear Physics
  • Swiss Federal Institute of Technology Lausanne
  • Hunan Normal University
  • Petersburg Nuclear Physics Institute (PNPI)
  • National Centre for Nuclear Research
  • Universidad de Tarapacá
  • GSI Helmholtz Centre for Heavy Ion Research
  • Goethe University Frankfurt
  • Southeast University, Nanjing
  • University of Perugia
  • COMSATS University Islamabad
  • IBA
  • Budker Institute of Nuclear Physics of the Siberian Branch of the RAS
  • Novosibirsk State University
  • Indiana University Bloomington
  • University of Groningen
  • Liaoning University
  • Zhejiang University
  • Central South University
  • Huangshan College
  • Henan University of Technology
  • Henan University of Science and Technology
  • Guangxi University
  • South China Normal University
  • Shanxi University
  • Suranaree University of Technology
  • Indian Institute of Technology Madras
  • Renmin University of China
  • Qufu Normal University
  • University of Manchester
  • Justus Liebig University Giessen
  • Istinye University
  • Chung-Ang University
  • Mongolian Academy of Sciences
  • University of Hawai'i at Mānoa
  • Shandong Normal University
  • University of Ferrara
  • University of Eastern Piedmont
  • Carnegie Mellon University

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The beta decay of the lightest charmed baryon Λc+ 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 Λc+→ne+νe, 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 Λc+→Λe+νe, 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 Vcd is extracted via a charmed baryon decay as 0.208±0.011exp.±0.007LQCD±0.001τΛc+. 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.

Original languageEnglish
Article number681
JournalNature Communications
Volume16
Issue number1
DOIs
StatePublished - Dec 2025

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