Lien zoom :
https://univ-amu-fr.zoom.us/j/81037608252?pwd=E3078Nas6Dkq1MTktauz5EbBfgbkAf.1
ID de réunion: 810 3760 8252
Code secret: 207869
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) that are mis-modeled in the simulations. The analysis relies on a combination of selection criteria and a BDT classifier to achieve an almost background-free scenario, while maintaining a signal reconstruction efficiency in the range [15-24]\%. The branching fraction is extracted with an unbinned maximum likelihood fit to the $M_{\tau}$ distribution, and the upper limits are computed using the $CL_S$ method. The systematic uncertainties affecting the signal efficiency and the background modelling are evaluated. According to the expected limits evaluated using data sidebands, the analysis improves the sensitivity in three of the modes compared to the previous Belle's results obtained with 762 fb$^{-1}$, one mode is comparable to Belle's results and one mode is less sensitive.