Data Analysis Techniques for High-Energy Physics

Data Analysis Techniques for High-Energy Physics

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2000 · Английский · Мягкая обложка · Изданий: 3
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Описание

This comprehensive volume serves as a vital resource for researchers and practitioners in the field of high-energy physics. It delves into advanced data analysis techniques tailored specifically for the complexities and unique challenges of this dynamic field. With contributions from esteemed authors, it emphasizes a blend of theoretical insight and practical application, enabling readers to effectively interpret and manipulate vast datasets generated from particle physics experiments.

Thoroughly revised and updated, the book reflects the ever-evolving landscape of data analysis within high-energy physics. It covers both classical methods and contemporary approaches, ensuring that readers are equipped with a wide range of tools for their research. The detailed discussions provide a deep understanding of the underlying principles, while also showcasing real-world applications that highlight the importance of data-driven insights in advancing scientific knowledge. Overall, this monograph stands as an essential guide for anyone looking to sharpen their analytical skills in high-energy physics.

Детали книги

Формат Мягкая обложка
Страницы 412 страниц
Язык Английский
Опубликовано Aug 28, 2000
Издатель Cambridge University Press
Издание 2
Издания Изданий: 3
ISBN-10 0521635489
ISBN-13 9780521635486
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