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

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...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Keck, Thomas (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Springer Theses, Recognizing Outstanding Ph.D. Research,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Machine Learning at the Belle II Experiment  |h [electronic resource] :  |b The Full Event Interpretation and Its Validation on Belle Data /  |c by Thomas Keck. 
250 |a 1st ed. 2018. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2018. 
300 |a XI, 174 p. 84 illus., 16 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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505 0 |a Introduction -- From Belle to Belle II -- Multivariate Analysis Algorithms -- Full Event Interpretation -- B tau mu -- Conclusion. 
520 |a 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 Υ 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. 
650 0 |a Elementary particles (Physics). 
650 0 |a Quantum field theory. 
650 0 |a Artificial intelligence. 
650 0 |a Sociophysics. 
650 0 |a Econophysics. 
650 0 |a Physical measurements. 
650 0 |a Measurement   . 
650 1 4 |a Elementary Particles, Quantum Field Theory.  |0 http://scigraph.springernature.com/things/product-market-codes/P23029 
650 2 4 |a Artificial Intelligence.  |0 http://scigraph.springernature.com/things/product-market-codes/I21000 
650 2 4 |a Data-driven Science, Modeling and Theory Building.  |0 http://scigraph.springernature.com/things/product-market-codes/P33030 
650 2 4 |a Measurement Science and Instrumentation.  |0 http://scigraph.springernature.com/things/product-market-codes/P31040 
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950 |a Physics and Astronomy (Springer-11651)