Using 20.3 fb-1 of 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 (Formula presented). An upper limit on its partial branching fraction for photon energies Ey >10 MeV was determined to be 1.2*10-5 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
Garzia, I.;
2025
Abstract
Using 20.3 fb-1 of 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 (Formula presented). An upper limit on its partial branching fraction for photon energies Ey >10 MeV was determined to be 1.2*10-5 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.File in questo prodotto:
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