Data Analysis in High Energy Physics: A Practical Guide to Statistical Methods

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Description 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.

Data analysis in high energy physics; a practical guide to statistical methods.

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Description Table of Contents eBook Details Click on the cover image above to read some pages of this book! Nuclear Power Past, Present and Future.

Data Analysis in High Energy Physics: A Practical Guide to Statistical Methods

Modern Nuclear Chemistry. Particle Physics Manchester Physics Series. Physics of Atomic Nuclei. Key Nuclear Reaction Experiments Discoveries and consequences. Foundations of Pulsed Power Technology.

Standard Deviation - Explained and Visualized

Fusion Plasma Physics. Einfuhrung in die Kernphysik.


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