Development of FastBDT Classifiers to Suppress Beam Background Clusters and Fake Photons
Category: Conference papers and plots, Visibility: Public
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| Authors | Savino Longo, Priyanka Cheema, Chia-Ling Hsu, Bruce Yabsley |
|---|---|
| Non-Belle II authors | Racha Cheaib |
| Date | April 21, 2023 |
| Belle II Number | BELLE2-NOTE-PL-2023-003 |
| Abstract | We present an overview of the methodology used to develop FastBDT classifiers that suppress beam background clusters and fake photons, with the aim of using these classifiers to improve the signal-background separation power of the residual calorimeter energy E_ECL. The feature selection, hyperparameter tuning, and training of the classifiers is performed using photons from simulated BBbar events. The application of these classifiers to the B∗ → D∗lν decay is shown, with E_ECL distributions before and after classifier cuts also included. These E_ECL distributions also provide a comparison between simulated events and a subset of Belle II data amounting to 25.4 fb−1 of integrated luminosity. |
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- BELLE2-NOTE-PL-2023-003.pdf (versions: 1)