Data Analysis Techniques for High-Energy Physics

Discover the essential resource for physicists with the Data Analysis Techniques for High-Energy Physics, authored by experts in the field and published by Cambridge University Press in 2000. This thoroughly revised second edition spans 412 pages and provides an in-depth exploration of techniques for managing and analyzing extensive and complex data samples from high-energy and nuclear physics experiments.

This indispensable guide covers innovative pattern recognition techniques that help to categorize measurements into meaningful physical objects, such as particle tracks. Additionally, it offers methods for maximizing the information extracted from available measurements, making it a must-have for anyone involved in high-energy physics research. Enhance your analytical skills and stay at the forefront of the field with this comprehensive reference.