Data Analysis Techniques For High Energy Physics
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Data Analysis Techniques For High Energy Physics
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Author : R. Frühwirth
language : en
Publisher: Cambridge University Press
Release Date : 2000-08-17
Data Analysis Techniques For High Energy Physics written by R. Frühwirth and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-08-17 with Science categories.
Up-dated indispensable guide to handling and analysing data obtained from high-energy and nuclear physics experiments.
Data Analysis Techniques For High Energy Physics Experiments
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Author : R. K. Bock
language : en
Publisher: Cambridge University Press
Release Date : 2009-06-25
Data Analysis Techniques For High Energy Physics Experiments written by R. K. Bock and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-06-25 with Science categories.
High-energy physics - the science of the fundamental particles nature - has become one of the most complex and demanding disciplines of natural science. The observation of particle interactions involves the analysis of large and intricate data samples. The very high cost of these experiments makes the full and correct use of the information imperative. Successful interpretation of the data requires the application of advanced mathematical algorithms and computer techniques in all stages of the analysis. The necessary and available techniques of all steps of the analysis have been assembled in a single book. All four authors have had many years' involvement with high-energy physics experiments at CERN, DESY and other particle accelerators around the world. They have written this book both as an introduction and to inform the reader on the most advanced techniques of data analysis in this field. It will be of great value to people involved in experimental research in particle physics, including beginning graduates, computer electronic engineers and senior academics.
Data Analysis Techniques For High Energy Physics
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Author : Rudolf Frühwirth
language : en
Publisher:
Release Date : 2014-05-14
Data Analysis Techniques For High Energy Physics written by Rudolf Frühwirth and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-14 with SCIENCE categories.
Up-dated indispensable guide to handling and analysing data obtained from high-energy and nuclear physics experiments.
Data Analysis In High Energy Physics
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Author : Olaf Behnke
language : en
Publisher: John Wiley & Sons
Release Date : 2013-08-30
Data Analysis In High Energy Physics written by Olaf Behnke and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-30 with Science categories.
This practical guide covers the essential tasks in statistical data analysis encountered in high energy physics and provides comprehensive advice for typical questions and problems. The basic methods for inferring results from data are presented as well as tools for advanced tasks such as improving the signal-to-background ratio, correcting detector effects, determining systematics and many others. Concrete applications are discussed in analysis walkthroughs. Each chapter is supplemented by numerous examples and exercises and by a list of literature and relevant links. The book targets a broad readership at all career levels - from students to senior researchers. An accompanying website provides more algorithms as well as up-to-date information and links. * Free solutions manual available for lecturers at www.wiley-vch.de/supplements/
Encyclopaedia Of Data Analysis Techniques For High Energy Physics
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Author : M. Jobes
language : en
Publisher:
Release Date : 2016-04
Encyclopaedia Of Data Analysis Techniques For High Energy Physics written by M. Jobes and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04 with categories.
Statistical Analysis Techniques In Particle Physics
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Author : Ilya Narsky
language : en
Publisher: John Wiley & Sons
Release Date : 2013-10-24
Statistical Analysis Techniques In Particle Physics written by Ilya Narsky and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-24 with Science categories.
Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students.
Data Analysis Techniques For Physical Scientists
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Author : Claude A. Pruneau
language : en
Publisher: Cambridge University Press
Release Date : 2017-10-05
Data Analysis Techniques For Physical Scientists written by Claude A. Pruneau and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-05 with Language Arts & Disciplines categories.
A comprehensive guide to data analysis techniques for the physical sciences including probability, statistics, data reconstruction, data correction and Monte Carlo methods. This book provides a valuable resource for advanced undergraduate and graduate students, as well as practitioners in the fields of experimental particle physics, nuclear physics and astrophysics.
Statistical Methods For Data Analysis In Particle Physics
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Author : Luca Lista
language : en
Publisher: Springer
Release Date : 2017-10-13
Statistical Methods For Data Analysis In Particle Physics written by Luca Lista and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-13 with Science categories.
This concise set of course-based notes provides the reader with the main concepts and tools needed to perform statistical analyses of experimental data, in particular in the field of high-energy physics (HEP). First, the book provides an introduction to probability theory and basic statistics, mainly intended as a refresher from readers’ advanced undergraduate studies, but also to help them clearly distinguish between the Frequentist and Bayesian approaches and interpretations in subsequent applications. More advanced concepts and applications are gradually introduced, culminating in the chapter on both discoveries and upper limits, as many applications in HEP concern hypothesis testing, where the main goal is often to provide better and better limits so as to eventually be able to distinguish between competing hypotheses, or to rule out some of them altogether. Many worked-out examples will help newcomers to the field and graduate students alike understand the pitfalls involved in applying theoretical concepts to actual data. This new second edition significantly expands on the original material, with more background content (e.g. the Markov Chain Monte Carlo method, best linear unbiased estimator), applications (unfolding and regularization procedures, control regions and simultaneous fits, machine learning concepts) and examples (e.g. look-elsewhere effect calculation).
Statistics For Nuclear And Particle Physicists
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Author : Louis Lyons
language : en
Publisher: Cambridge University Press
Release Date : 1989-04-06
Statistics For Nuclear And Particle Physicists written by Louis Lyons and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989-04-06 with Science categories.
This book, written by a non-statistician for non-statisticians, emphasises the practical approach to those problems in statistics which arise regularly in data analysis situations in nuclear and high-energy physics experiments. Rather than concentrating on formal proofs of theorems, an abundant use of simple examples illustrates the general ideas which are presented, showing the reader how to obtain the maximum information from the data in the simplest manner. Possible difficulties with the various techniques, and pitfalls to be avoided, are also discussed. Based on a series of lectures given by the author to both students and staff at Oxford, this common-sense approach to statistics will enable nuclear physicists to understand better how to do justice to their data in both analysis and interpretation.
Artificial Intelligence For High Energy Physics
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Author : Paolo Calafiura
language : en
Publisher: World Scientific
Release Date : 2022-01-05
Artificial Intelligence For High Energy Physics written by Paolo Calafiura and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-05 with Science categories.
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.