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Artificial Intelligence For High Energy Physics

Language EnglishEnglish
Book Hardback
Book Artificial Intelligence For High Energy Physics David Rousseau
Libristo code: 33593881
Publishers World Scientific Publishing Co Pte Ltd, March 2022
The Higgs boson discovery at the Large Hadron Collider in 2012 relied on boosted decision trees. Sin... Full description
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The Higgs boson discovery at the Large Hadron Collider in 2012 relied on boosted decision trees. Since then, high energy physics (HEP) has applied modern machine learning (ML) techniques to all stages of the data analysis pipeline, from raw data processing to statistical analysis. The unique requirements of HEP data analysis, the availability of high-quality simulators, the complexity of the data structures (which rarely are image-like), the control of uncertainties expected from scientific measurements, and the exabyte-scale datasets require the development of HEP-specific ML techniques. While these developments proceed at full speed along many paths, the nineteen reviews in this book offer a self-contained, pedagogical introduction to ML models'' real-life applications in HEP, written by some of the foremost experts in their area.

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About the book

Full name Artificial Intelligence For High Energy Physics
Language English
Binding Book - Hardback
Date of issue 2022
Number of pages 828
EAN 9789811234026
ISBN 9811234027
Libristo code 33593881
Weight 1057
Dimensions 165 x 238 x 30
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