Using 20.3 fb–1 of e+e- annihilation data collected at a center-of-mass energy of 3.773 GeV with the BESIII detector, we report on an improved search for the radiative leptonic decay D+→γe + νe. An upper limit on its partial branching fraction for photon energies Eγ > 10MeV was determined to be 1.2x10^-5 at a 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.
Search for radiative leptonic decay D+→γe + νe using deep learning
A. Amoroso;F. Bianchi;A. Bortone;M. Destefanis;F. De Mori;M. Greco;M. Maggiora;S. Marcello;M. Rolo;S. Sosio;S. Spataro;
2025-01-01
Abstract
Using 20.3 fb–1 of e+e- annihilation data collected at a center-of-mass energy of 3.773 GeV with the BESIII detector, we report on an improved search for the radiative leptonic decay D+→γe + νe. An upper limit on its partial branching fraction for photon energies Eγ > 10MeV was determined to be 1.2x10^-5 at a 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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