Search for the radiative leptonic decay D⁺→γe⁺ν_e using Deep Learning

2025/03/20 by BESIII Collaboration, Ablikim, M., Achasov, M. N. +678 · 1 citation
#FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph)

paper · doi:10.48550/arxiv.2503.16070

Abstract

Using 20.3~\rm fb^-1 of e⁺e^- annihilation data collected at a center-of-mass energy of 3.773~\rm GeV with the BESIII detector, we report an improved search for the radiative leptonic decay D⁺→γe⁺ν_e. An upper limit on its partial branching fraction for photon energies E_γ>10~\rm MeV was determined to be 1.2×10^-5 at 90% confidence level; this excludes most current theoretical predictions. A sophisticated deep learning approach, which includes thorough validation and is based on the Transformer architecture, was implemented to efficiently distinguish the signal from massive backgrounds.

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