Machine Learning at the Belle II Experiment

The Full Event Interpretation and Its Validation on Belle Data

Autor: Thomas Keck

Jazyk:

Vazba: Pevná

Vydavatel: Springer International Publishing AG

Dostupnost: Skladem u dodavatele

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2 742 Kč

This book explores how machine learning can be used to improve the efficiency of expensive fundament...

Informace o knize

Autor

Thomas Keck

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2019

Stránek

174

EAN

9783319982489

ISBN

3319982486

Enbook ID

19776945

Vydavatel

Springer International Publishing AG

Hmotnost

453

Rozměry

155 x 235 x 16

Kompletní popis

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.

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Machine Learning at the Belle II Experiment

The Full Event Interpretation and Its Validation on Belle Data

Informace o knize

Kompletní popis

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