Machine Learning at the Belle II Experiment The Full Event Interpret
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 conver
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Thomas Keck
Machine Learning at the Belle II Experiment The Full Event Interpretation and Its Validation on Belle Data
Springer Theses Recognizing Outstanding Ph.D. Research
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Thomas Keck
Machine Learning at the Belle II Experiment The Full Event Interpretation and Its Validation on Belle Data Doctoral thesis accepted by the Karlsruhe Institute of Technology, Karlsruhe, Germany
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Author Dr. Thomas Keck Institute of Experimental Particle Physics Karlsruhe Institute of Technology Karlsruhe, Germany
Supervisor Prof. Michael Feindt Karlsruhe Institute of Technology Karlsruhe, Germany
ISSN 2190-5053 ISSN 2190-5061 (electronic) Springer Theses ISBN 978-3-319-98248-9 ISBN 978-3-319-98249-6 (eBook) https://doi.org/10.1007/978-3-319-98249-6 Library of Congress Control Number: 2018950801 © Springer Nature Switzerland AG 2018 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic ad
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