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Machine learning at the Belle II Experiment = the full event interpretation and its validation on Belle data /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Machine learning at the Belle II Experiment/ by Thomas Keck.
其他題名:	the full event interpretation and its validation on Belle data /
作者:	Keck, Thomas.
出版者:	Cham :Springer International Publishing : : 2018.,
面頁冊數:	xi, 174 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Particles (Nuclear physics) - Computer simulation. -
電子資源:	https://doi.org/10.1007/978-3-319-98249-6
ISBN:	9783319982496

Machine learning at the Belle II Experiment = the full event interpretation and its validation on Belle data /
Keck, Thomas.

Machine learning at the Belle II Experimentthe full event interpretation and its validation on Belle data /[electronic resource] :by Thomas Keck. - Cham :Springer International Publishing :2018. - xi, 174 p. :ill., digital ;24 cm. - Springer theses,2190-5053. - Springer theses..

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

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.

ISBN: 9783319982496

Standard No.: 10.1007/978-3-319-98249-6doiSubjects--Topical Terms:

1211933
Particles (Nuclear physics)
--Computer simulation.

LC Class. No.: QC793.47.E4 / K435 2018

Dewey Class. No.: 539.72

Machine learning at the Belle II Experiment = the full event interpretation and its validation on Belle data /
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