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Practical Collider Physics: IOP ebooks

Autor Andy Buckley, Chris White, Martin White
en Limba Engleză Hardback – 21 dec 2021
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
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Specificații

ISBN-13: 9780750324427
ISBN-10: 0750324422
Pagini: 300
Dimensiuni: 189 x 263 x 35 mm
Greutate: 1.1 kg
Editura: Iop Publishing Ltd
Seria IOP ebooks


Notă biografică

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.