Kniha Artificial Intelligence For High Energy Physics David Rousseau

Artificial Intelligence For High Energy Physics

Jazyk: Angličtina
Vazba: Pevná
Dostupnost: 50 % šance
Prohledáme celý svět
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The Higgs boson discovery at the Large Hadron Collider in 2012 relied on boosted decision trees. Sin...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Pevná
Vydáno
2022
Stránek
828
EAN
9789811234026
ISBN
9811234027
Enbook ID
33593881
Hmotnost
1057
Rozměry
165 x 238 x 30

Kompletní popis

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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