Artificial Intelligence For High Energy Physics
Product details
| Management number | 231888445 | Release Date | 2026/06/18 | List Price | US$43.59 | Model Number | 231888445 | ||
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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. Read more
| ASIN | B09WNJ77L8 |
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| XRay | Not Enabled |
| ISBN13 | 978-9811234040 |
| Language | English |
| File size | 25.4 MB |
| Page Flip | Enabled |
| Publisher | World Scientific |
| Word Wise | Not Enabled |
| Print length | 1076 pages |
| Accessibility | Learn more |
| Screen Reader | Supported |
| Publication date | January 5, 2022 |
| Enhanced typesetting | Enabled |
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