Claude A. Pruneau (Michigan Wayne State University)

Data Analysis Techniques for Physical Scientists

• Broschiertes Buch

Produktbeschreibung

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.

---

Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 720
• Erscheinungstermin: 16. Juni 2022
• Englisch
• Abmessung: 246mm x 189mm x 38mm
• Gewicht: 1358g
• ISBN-13: 9781009245005
• ISBN-10: 1009245007
• Artikelnr.: 63557246

Autorenporträt

Claude A. Pruneau is a Professor of Physics at the Wayne State University, Michigan, from where he received the 2006 Excellence in Teaching Presidential Award. He is also a member of the ALICE collaboration, and conducts an active research program in the study of the Quark Gluon Plasma produced in relativistic heavy ion collisions at the CERN Large Hadron Collider. He has worked as a Research Fellow at both Atomic Energy for Canada Limited and McGill University, Canada, and is a member of the American Physical Society, Canadian Association of Physicists and the Union of Concerned Scientists.

Inhaltsangabe

Preface
How to read this book
1. The scientific method
Part I. Foundation in Probability and Statistics: 2. Probability
3. Probability models
4. Classical inference I: estimators
5. Classical inference II: optimization
6. Classical inference III: confidence intervals and statistical tests
7. Bayesian inference
Part II. Measurement Techniques: 8. Basic measurements
9. Event reconstruction
10. Correlation functions
11. The multiple facets of correlation functions
12. Data correction methods
Part III. Simulation Techniques: 13. Monte Carlo methods
14. Collision and detector modeling
List of references
Index.