Data Analysis Techniques For Nuclear And Particle Physicists
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Data Analysis Techniques for Nuclear and Particle Physicists
This is an advanced data analysis textbook for scientists specializing in the areas of particle physics, nuclear physics, and related subfields. As a practical guide for robust, comprehensive data analysis, it focuses on realistic techniques to explain instrumental effects. The topics are relevant for engineers, scientists, and astroscientists working in the fields of geophysics, chemistry, and the physical sciences. The book serves as a reference for more senior scientists while being eminently accessible to advanced undergraduate and graduate students.
Data Analysis Techniques for High-Energy Physics
Author: Rudolf Frühwirth
language: en
Publisher: Cambridge University Press
Release Date: 2000-08-17
Now thoroughly revised and up-dated, this book describes techniques for handling and analysing data obtained from high-energy and nuclear physics experiments. The observation of particle interactions involves the analysis of large and complex data samples. Beginning with a chapter on real-time data triggering and filtering, the book describes methods of selecting the relevant events from a sometimes huge background. The use of pattern recognition techniques to group the huge number of measurements into physically meaningful objects like particle tracks or showers is then examined and the track and vertex fitting methods necessary to extract the maximum amount of information from the available measurements are explained. The final chapter describes tools and methods which are useful to the experimenter in the physical interpretation and in the presentation of the results. This indispensable guide will appeal to graduate students, researchers and computer and electronic engineers involved with experimental physics.
Data Analysis Techniques for Physical Scientists
Author: Claude A. Pruneau
language: en
Publisher: Cambridge University Press
Release Date: 2017-10-05
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.