Artificial Intelligence For High Energy Physics is popular PDF and ePub book, written by Paolo Calafiura in 2022-01-05, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, Artificial Intelligence For High Energy Physics can be Read Online from any device for your convenience.
Artificial Intelligence For High Energy Physics Book PDF Summary
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.
Detail Book of Artificial Intelligence For High Energy Physics PDF
- Author : Paolo Calafiura
- Release : 05 January 2022
- Publisher : World Scientific
- ISBN : 9789811234040
- Genre : Science
- Total Page : 829 pages
- Language : English
- PDF File Size : 16,8 Mb
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