DATA ANALYSIS IN HIGH ENERGY PHYSICS A PRACTICAL GUIDE TO STATISTICAL METHODS

Download Data Analysis In High Energy Physics A Practical Guide To Statistical Methods ebook PDF or Read Online books in PDF, EPUB, and Mobi Format. Click Download or Read Online button to DATA ANALYSIS IN HIGH ENERGY PHYSICS A PRACTICAL GUIDE TO STATISTICAL METHODS book pdf for free now.

Author : Olaf Behnke
ISBN : 9783527653430
Genre : Science
File Size : 55.64 MB
Format : PDF, ePub, Docs
Download : 141
Read : 1316

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/

A unique and comprehensive presentation on modern particle physics which stores the background knowledge on the big open questions beyond the standard model, as the existence of the Higgs-boson, or the nature of Dark Matter and Dark Energy.

Author : Glen Cowan
ISBN : 9780198501565
Genre : Mathematics
File Size : 28.17 MB
Format : PDF
Download : 455
Read : 459

This book is a guide to the practical application of statistics in data analysis as typically encountered in the physical sciences. It is primarily addressed at students and professionals who need to draw quantitative conclusions from experimental data. Although most of the examples are taken from particle physics, the material is presented in a sufficiently general way as to be useful to people from most branches of the physical sciences. The first part of the book describes the basic tools of data analysis: concepts of probability and random variables, Monte Carlo techniques, statistical tests, and methods of parameter estimation. The last three chapters are somewhat more specialized than those preceding, covering interval estimation, characteristic functions, and the problem of correcting distributions for the effects of measurement errors (unfolding).

Author : Louis Lyons
ISBN : 0521379342
Genre : Science
File Size : 85.76 MB
Format : PDF, ePub, Docs
Download : 656
Read : 867

This practical approach to statistical problems arising regularly in analyzing data from nuclear and high energy physics experiments is geared toward non-statisticians.

Author : Wolfgang von der Linden
ISBN : 9789401147101
Genre : Mathematics
File Size : 37.39 MB
Format : PDF, ePub, Mobi
Download : 771
Read : 583

In 1978 Edwin T. Jaynes and Myron Tribus initiated a series of workshops to exchange ideas and recent developments in technical aspects and applications of Bayesian probability theory. The first workshop was held at the University of Wyoming in 1981 organized by C.R. Smith and W.T. Grandy. Due to its success, the workshop was held annually during the last 18 years. Over the years, the emphasis of the workshop shifted gradually from fundamental concepts of Bayesian probability theory to increasingly realistic and challenging applications. The 18th international workshop on Maximum Entropy and Bayesian Methods was held in Garching / Munich (Germany) (27-31. July 1998). Opening lectures by G. Larry Bretthorst and by Myron Tribus were dedicated to one of th the pioneers of Bayesian probability theory who died on the 30 of April 1998: Edwin Thompson Jaynes. Jaynes revealed and advocated the correct meaning of 'probability' as the state of knowledge rather than a physical property. This inter pretation allowed him to unravel longstanding mysteries and paradoxes. Bayesian probability theory, "the logic of science" - as E.T. Jaynes called it - provides the framework to make the best possible scientific inference given all available exper imental and theoretical information. We gratefully acknowledge the efforts of Tribus and Bretthorst in commemorating the outstanding contributions of E.T. Jaynes to the development of probability theory.

Statistical mechanics deals with the description of physical phenomena in terms of the stochastic behavior of large numbers of components, such as atoms or molecules, especially regarding the distribution of energy among them. Statistical mechanics provides exact methods to connect thermodynamic quantities to microscopic behavior. Thus, measurement in quantum mechanics is usually a rough procedure that destroys many properties of the system. This is obvious from the Hilbert space construction, as in the language of Hilbert spaces; measurement conducted on the system destroys the quantum superposition reassembling the probability of detecting a particular state of that system. However, the notion of weak or gentle measurement came quiet recently into the study of quantum mechanics. Statistical Mechanics is intended to present state of the art on the behavior of macroscopic systems by studying the statistical properties of their microscopic constituents. This book is a guide to the practical application of statistics in data analysis as typically encountered in the physical sciences, and in particular in high energy particle physics. Statistical methods are invariably needed, however, in order to extract meaningful information from experimental data. A new approach to classical statistical mechanics is presented; based on a new method of specifying the possible "states" of the systems of a statistical assembly and on the relative frequency interpretation of probability.

Author : Keith Arnaud
ISBN : 9781139502566
Genre : Science
File Size : 87.12 MB
Format : PDF
Download : 168
Read : 1165

Modern x-ray data, available through online archives, are important for many astronomical topics. However, using these data requires specialized techniques and software. Written for graduate students, professional astronomers and researchers who want to start working in this field, this book is a practical guide to x-ray astronomy. The handbook begins with x-ray optics, basic detector physics and CCDs, before focussing on data analysis. It introduces the reduction and calibration of x-ray data, scientific analysis, archives, statistical issues and the particular problems of highly extended sources. The book describes the main hardware used in x-ray astronomy, emphasizing the implications for data analysis. The concepts behind common x-ray astronomy data analysis software are explained. The appendices present reference material often required during data analysis.

The fourth edition of this successful textbook presents a comprehensive introduction to statistical and numerical methods for the evaluation of empirical and experimental data. Equal weight is given to statistical theory and practical problems. The concise mathematical treatment of the subject matter is illustrated by many examples and for the present edition a library of Java programs has been developed. It comprises methods of numerical data analysis and graphical representation as well as many example programs and solutions to programming problems. The book is conceived both as an introduction and as a work of reference. In particular it addresses itself to students, scientists and practitioners in science and engineering as a help in the analysis of their data in laboratory courses, in working for bachelor or master degrees, in thesis work, and in research and professional work.