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OverviewPractical 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 Full Product DetailsAuthor: Andy Buckley (University of Glasgow) , Chris White (Queen Mary University of London) , Martin White (The University of Adelaide)Publisher: Institute of Physics Publishing Imprint: Institute of Physics Publishing Dimensions: Width: 17.80cm , Height: 2.90cm , Length: 25.40cm Weight: 1.097kg ISBN: 9780750324427ISBN 10: 0750324422 Pages: 508 Publication Date: 22 December 2021 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsPart I: Theory and methods for hadron colliders Chapter 1: Introduction Chapter 2: Quantum field theory for hadron colliders Chapter 3: From theory to experiment Chapter 4: Beyond the Standard Model Chapter 5: Statistics for collider physics Part II: Experimental physics at hadron colliders Chapter 6: Detecting and reconstructing particles at hadron colliders Chapter 7: Computing and data processing Chapter 8: Data analysis basics Chapter 9: Resonance searches Chapter 10: Semi-invisible particle searches Chapter 11: High-precision measurements Chapter 12: Analysis preservation and reinterpretation Chapter 13: Outlook Part III: Appendix A: Useful relative formulaeReviewsAuthor InformationMartin 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. Andy Buckley is a Senior Lecturer in particle physics in the School of Physics & Astronomy at the University of Glasgow. Most of his work is on experimental studies with the ATLAS experiment, part of the Large Hadron Collider at the CERN lab in Geneva. He also works with theorists on modelling of hadron collisions, and on ways of constraining the prospective models of new physics that they come up with. Chris White: Chris White is a Reader in Theoretical Physics at Queen Mary University of London, where he lectures in particle physics theory. He has worked on various aspects of collider physics, including Monte Carlo simulation, the description of low momentum (“soft”) radiation in QCD, and the behaviour of the top-quark and Higgs bosons. In recent years, he has studied new relationships between theories like QCD, and quantum gravity. Tab Content 6Author Website:Countries AvailableAll regions |
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