Title Machine Learning at the Belle II Experiment : The Full Event Interpretation and Its Validation on Belle Data Author(s) Keck, Thomas Publication Cham, Springer International Publishing, 2018. Description XI, 174 p. 84 illus., 16 illus. in color : online resource Abstract Note This book explores how machine learning can be used to improve the efficiency of expensive fundamental science experiments. The first part introduces the Belle and Belle II experiments, providing a detailed description of the Belle to Belle II data conversion tool, currently used by many analysts. The second part covers machine learning in high-energy physics, discussing the Belle II machine learning infrastructure and selected algorithms in detail. Furthermore, it examines several machine learning techniques that can be used to control and reduce systematic uncertainties. The third part investigates the important exclusive B tagging technique, unique to physics experiments operating at the ?? resonances, and studies in-depth the novel Full Event Interpretation algorithm, which doubles the maximum tag-side efficiency of its predecessor. The fourth part presents a complete measurement of the branching fraction of the rare leptonic B decay ???B???tau nu???, which is used to validate the algorithms discussed in previous parts ISBN,Price 9783319982496 Keyword(s) 1. ARTIFICIAL INTELLIGENCE 2. Data-driven Science, Modeling and Theory Building 3. EBOOK 4. EBOOK - SPRINGER 5. ECONOPHYSICS 6. Elementary particles (Physics) 7. Elementary Particles, Quantum Field Theory 8. Measurement Science and Instrumentation 9. Measurement?????? 10. PHYSICAL MEASUREMENTS 11. QUANTUM FIELD THEORY 12. Sociophysics Item Type eBook Multi-Media Links Please Click here for eBook Circulation Data Accession#   Call# Status Issued To Return Due On Physical Location I09374     On Shelf