Machine Learning at the Belle II Experiment The Full Event Interpretation and Its Validation on Belle Data /

• Main Author: Keck, Thomas (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Springer Theses, Recognizing Outstanding Ph.D. Research,
• Subjects: Elementary particles (Physics).; Quantum field theory.; Artificial intelligence.; Sociophysics.; Econophysics.; Physical measurements.; Measurement .; Elementary Particles, Quantum Field Theory.; Artificial Intelligence.; Data-driven Science, Modeling and Theory Building.; Measurement Science and Instrumentation.

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. T...

Table of Contents:

• Introduction
• From Belle to Belle II
• Multivariate Analysis Algorithms
• Full Event Interpretation
• B tau mu
• Conclusion.