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Synopsis
Practical Collider Physics provides a self-contained summary of all of the necessary theoretical, experimental and statistical knowledge required to analyse hadron collider data, focussing on the skills and techniques that are rarely covered in standard textbooks. It covers topics including parton distribution functions, resummation, parton showers, hadronisation, and the underlying event and jet algorithms, all of which are vital for understanding the form and function of Monte Carlo generators. A detailed overview of the ATLAS and CMS detectors is also provided, along with their object-reconstruction algorithms, followed by a pedagogical introduction to computing and data-processing approaches, data-analysis basics, and detailed methods for high-precision measurements and particle searches. This book is appropriate for honours-level undergraduates and masters students, as well as supporting taught-course and practical aspects of a PhD in particle physics.
Key Features
- Provides a detailed reference on current LHC analysis techniques
- Covers all of the necessary theoretical, experimental and statistical knowledge required to perform a complete hadron collider data analysis
- A unique collaboration between particle experimentalists and theorists
- Covers complex topics at a level that makes it accessible to final year undergraduate students
"synopsis" may belong to another edition of this title.
About the Author
Martin White is a Professor and Deputy Dean of Research in the Faculty of Sciences at the University of Adelaide, where he leads a group in particle astrophysics phenomenology, with connections to machine learning and novel data science techniques in Bayesian and frequentist inference. He teaches physics at undergraduate and masters level, and has developed a new interdisciplinary curriculum in data science.
"About this title" may belong to another edition of this title.
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Practical Collider Physics
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Institute of Physics Publishing, 2021
ISBN 10: 0750324422
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Practical Collider Physics
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ISBN 13: 9780750324427
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Practical Collider Physics (Hardcover)
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ISBN 10: 0750324422
ISBN 13: 9780750324427
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Hardcover. Condition: new. Hardcover. Practical Collider Physics provides a self-contained summary of all of thenecessary theoretical, experimental and statistical knowledge required toanalyse hadron collider data, focussing on the skills and techniques that arerarely covered in standard textbooks. It covers topics including partondistribution functions, resummation, parton showers, hadronisation, and theunderlying event and jet algorithms, all of which are vital for understandingthe form and function of Monte Carlo generators. A detailed overview of the ATLAS and CMSdetectors is also provided, along with their object-reconstruction algorithms,followed by a pedagogical introduction to computing and data-processingapproaches, data-analysis basics, and detailed methods for high-precision measurementsand particle searches. This book is appropriate for honours-levelundergraduates and masters students, as well as supporting taught-course andpractical aspects of a PhD in particle physics.Key FeaturesProvides a detailed reference on current LHC analysis techniquesCovers all of the necessary theoretical, experimental and statisticalknowledge required to perform a complete hadron collider data analysisA unique collaboration between particle experimentalists and theoristsCovers complex topics at a level that makes it accessible to final year undergraduatestudents Practical Collider Physics provides the first self-contained reference guidefor the practical know-how involved in hadron collider physics, including boththeoretical and experimental topics, and the statistical knowledge required toanalyse hadron collider data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780750324427
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Condition: New. Über den AutorMartin White is a Professor and Deputy Dean of Research in the Faculty of Sciences at the University of Adelaide, where he leads a group in particle astrophysics phenomenology, with connections to machine learning and . Seller Inventory # 460480687
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