Probability and Statistics for Particle Physics

Download Probability and Statistics for Particle Physics PDF Online Free

Author :
Release : 2017-04-21
Genre : Science
Kind :
Book Rating : 386/5 ( reviews)

Probability and Statistics for Particle Physics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Probability and Statistics for Particle Physics write by Carlos Maña. This book was released on 2017-04-21. Probability and Statistics for Particle Physics available in PDF, EPUB and Kindle. 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.

Probability and Statistics in Particle Physics

Download Probability and Statistics in Particle Physics PDF Online Free

Author :
Release : 1979
Genre : Mathematics
Kind :
Book Rating : /5 ( reviews)

Probability and Statistics in Particle Physics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Probability and Statistics in Particle Physics write by A. G. Frodesen. This book was released on 1979. Probability and Statistics in Particle Physics available in PDF, EPUB and Kindle.

Probability and Statistics in Particle Physics

Download Probability and Statistics in Particle Physics PDF Online Free

Author :
Release : 1979
Genre : Particles (Nuclear physics)
Kind :
Book Rating : /5 ( reviews)

Probability and Statistics in Particle Physics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Probability and Statistics in Particle Physics write by A. G. Frodesen. This book was released on 1979. Probability and Statistics in Particle Physics available in PDF, EPUB and Kindle.

Probability and Statistics in the Physical Sciences

Download Probability and Statistics in the Physical Sciences PDF Online Free

Author :
Release : 2020-09-26
Genre : Science
Kind :
Book Rating : 947/5 ( reviews)

Probability and Statistics in the Physical Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Probability and Statistics in the Physical Sciences write by Byron P. Roe. This book was released on 2020-09-26. Probability and Statistics in the Physical Sciences available in PDF, EPUB and Kindle. 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.

Statistical Methods for Data Analysis in Particle Physics

Download Statistical Methods for Data Analysis in Particle Physics PDF Online Free

Author :
Release : 2017-10-13
Genre : Science
Kind :
Book Rating : 402/5 ( reviews)

Statistical Methods for Data Analysis in Particle Physics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Methods for Data Analysis in Particle Physics write by Luca Lista. This book was released on 2017-10-13. Statistical Methods for Data Analysis in Particle Physics available in PDF, EPUB and Kindle. 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).