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Statistics For Nuclear And Particle Physicists


Statistics For Nuclear And Particle Physicists
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Statistics For Nuclear And Particle Physicists


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.



Probability And Statistics For Particle Physics


Probability And Statistics For Particle Physics
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Author : Carlos Maña
language : en
Publisher: Springer
Release Date : 2017-04-21

Probability And Statistics For Particle Physics written by Carlos Maña and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-21 with Science categories.


This book comprehensively presents the basic concepts of probability and Bayesian inference with sufficient generality to make them applicable to current problems in scientific research. The first chapter provides the fundamentals of probability theory that are essential for the analysis of random phenomena. The second chapter includes a full and pragmatic review of the Bayesian methods that constitute a natural and coherent framework with enough freedom to analyze all the information available from experimental data in a conceptually simple manner. The third chapter presents the basic Monte Carlo techniques used in scientific research, allowing a large variety of problems to be handled difficult to tackle by other procedures. The author also introduces a basic algorithm, which enables readers to simulate samples from simple distribution, and describes useful cases for researchers in particle physics.The final chapter is devoted to the basic ideas of Information Theory, which are important in the Bayesian methodology. This highly readable book is appropriate for graduate-level courses, while at the same time being useful for scientific researches in general and for physicists in particular since most of the examples are from the field of Particle Physics.



Statistics For Nuclear And Particle Physicists


Statistics For Nuclear And Particle Physicists
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Author : Louis Lyons
language : en
Publisher:
Release Date : 1989

Statistics For Nuclear And Particle Physicists written by Louis Lyons and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Nuclear physics categories.




Techniques For Nuclear And Particle Physics Experiments


Techniques For Nuclear And Particle Physics Experiments
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Author : William R. Leo
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Techniques For Nuclear And Particle Physics Experiments written by William R. Leo and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.


Not quite six years have passed since the appearance of the first edition of this book. This is not a long period. Yet the rapid pace of scientific and technological development today is such that any book on experimental technique must be wary of becoming ob solete in some way or another even in such a short span of time. Thus, when the publisher Springer-Verlag informed me of the need for a new printing of this book, I decided it was an opportune moment to update some of the chapters as well as to include some new material. The result is this second edition. The most notable changes have been in Chapters 2 and 3. In the latter, which con cerns radiation protection, most of the sections have been rewritten to take into account the new recommendations from the International Commission on Radiation Protection, the most important of which are the new dose limits for exposure to ionizing radiation. In addition, emphasis has now been put on the use of SI units in dosimetry, i.e., the Gray and Sievert, which have now become standard.



Statistical Methods For Data Analysis In Particle Physics


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).



Foundations Of Nuclear And Particle Physics


Foundations Of Nuclear And Particle Physics
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Author : T. William Donnelly
language : en
Publisher: Cambridge University Press
Release Date : 2017-02

Foundations Of Nuclear And Particle Physics written by T. William Donnelly 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 2017-02 with Science categories.


This textbook brings together nuclear and particle physics, balancing theoretical and experimental perspectives for graduates and upper undergraduates.



Nuclear And Particle Physics


Nuclear And Particle Physics
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Author : Brian R. Martin
language : en
Publisher: John Wiley & Sons
Release Date : 2011-08-31

Nuclear And Particle Physics written by Brian R. Martin 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 2011-08-31 with Science categories.


An accessible introduction to nuclear and particle physics with equal coverage of both topics, this text covers all the standard topics in particle and nuclear physics thoroughly and provides a few extras, including chapters on experimental methods; applications of nuclear physics including fission, fusion and biomedical applications; and unsolved problems for the future. It includes basic concepts and theory combined with current and future applications. An excellent resource for physics and astronomy undergraduates in higher-level courses, this text also serves well as a general reference for graduate studies.



Probability And Statistics In Particle Physics


Probability And Statistics In Particle Physics
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Author : A. G. Frodesen
language : en
Publisher:
Release Date : 1979

Probability And Statistics In Particle Physics written by A. G. Frodesen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with Mathematics categories.




Probability And Statistics In The Physical Sciences


Probability And Statistics In The Physical Sciences
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Author : Byron P. Roe
language : en
Publisher: Springer Nature
Release Date : 2020-09-26

Probability And Statistics In The Physical Sciences written by Byron P. Roe and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-26 with Science categories.


This book, now in its third edition, offers a practical guide to the use of probability and statistics in experimental physics that is of value for both advanced undergraduates and graduate students. Focusing on applications and theorems and techniques actually used in experimental research, it includes worked problems with solutions, as well as homework exercises to aid understanding. Suitable for readers with no prior knowledge of statistical techniques, the book comprehensively discusses the topic and features a number of interesting and amusing applications that are often neglected. Providing an introduction to neural net techniques that encompasses deep learning, adversarial neural networks, and boosted decision trees, this new edition includes updated chapters with, for example, additions relating to generating and characteristic functions, Bayes’ theorem, the Feldman-Cousins method, Lagrange multipliers for constraints, estimation of likelihood ratios, and unfolding problems.