000003528 001__ 3528
000003528 005__ 20230506214043.0
000003528 037__ $$aBELLE2-NOTE-PL-2023-003
000003528 041__ $$aeng
000003528 088__ $$a 
000003528 100__ $$aPriyanka Cheema
000003528 245__ $$aDevelopment of FastBDT Classifiers to Suppress Beam Background Clusters and Fake Photons
000003528 260__ $$a$$c2023-04-21
000003528 300__ $$amult. p
000003528 520__ $$aWe present an overview of the methodology used to develop FastBDT classifiers that suppress beam background clusters and fake photons, with the aim of using these classifiers to improve the signal-background separation power of the residual calorimeter energy E_ECL. The feature selection, hyperparameter tuning, and training of the classifiers is performed using photons from simulated BBbar events. The application of these classifiers to the B∗ → D∗lν decay is shown, with E_ECL distributions before and after classifier cuts also included. These E_ECL distributions also provide a comparison between simulated events and a subset of Belle II data amounting to 25.4 fb−1 of integrated luminosity.
000003528 700__ $$aRacha Cheaib
000003528 700__ $$aBruce Yabsley
000003528 700__ $$aChia-Ling Hsu
000003528 700__ $$aSavino Longo
000003528 8560_ $$fpche3675@uni.sydney.edu.au
000003528 8564_ $$uhttps://docs.belle2.org/record/3528/files/BELLE2-NOTE-PL-2023-003.pdf