Machine Learning at the Belle II Experiment

The Full Event Interpretation and Its Validation on Belle Data de

Éditeur :

Springer


Collection :

Springer Theses

Paru le : 2018-12-29

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Description


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.

Pages
174 pages
Collection
Springer Theses
Parution
2018-12-29
Marque
Springer
EAN papier
9783319982489
EAN PDF
9783319982496

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
17
Taille du fichier
11551 Ko
Prix
116,04 €
EAN EPUB
9783319982496

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
17
Taille du fichier
14541 Ko
Prix
116,04 €