| Talk | |||||||||||
| Title | Full Event Interpretation at Belle II | ||||||||||
| Video |
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| Author(s) | Sutcliffe, William Lawrence (speaker) (Karlsruhe Institute of Technology) | ||||||||||
| Corporate author(s) | CERN. Geneva | ||||||||||
| Imprint | 2018-10-31. - 0:50:07. | ||||||||||
| Series | (EP-IT Data science seminars) | ||||||||||
| Lecture note | on 2018-10-31T11:00:00 | ||||||||||
| Subject category | EP-IT Data science seminars | ||||||||||
| Abstract | The Full Event Interpretation is an algorithm which applies supervised learning to the task of reconstructing tag-side B mesons at Belle II. In a hierarchal manner, the algorithm trains of order 200 Boosted Decision Trees, which are each tasked with the identification of individual particle decay channels within the decay chains of B mesons. This seminar presents the algorithm and recent efforts to quantify its performance on the Belle legacy dataset and the first Belle II data. In addition, a recent first analysis using the algorithm to search for B+→l+ nu gamma decays is presented. | ||||||||||
| Copyright/License | © 2018-2024 CERN | ||||||||||
| Submitted by | maurizio.pierini@cern.ch | ||||||||||
Record created 2018-11-05, last modified 2022-11-02
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