Search for the radiative leptonic decay using Deep Learning
arXiv:2503.16070 · doi:10.1088/1674-1137/adcdf3
Abstract
Using 20.3 of annihilation data collected at a center-of-mass energy of 3.773 with the BESIII detector, we report an improved search for the radiative leptonic decay . An upper limit on its partial branching fraction for photon energies was determined to be 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.
arXiv comment16 pages, 6 figures
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