ISBN-10:
3527410589
ISBN-13:
9783527410583
Pub. Date:
07/10/2013
Publisher:
Wiley
Data Analysis in High Energy Physics: A Practical Guide to Statistical Methods / Edition 1

Data Analysis in High Energy Physics: A Practical Guide to Statistical Methods / Edition 1

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Product Details

ISBN-13: 9783527410583
Publisher: Wiley
Publication date: 07/10/2013
Pages: 440
Product dimensions: 6.70(w) x 9.40(h) x 0.90(d)

About the Author

Olaf Behnke is a staff physicist at DESY (Hamburg) and an expert for the physics of heavy quarks. He currently holds the position of physics chair in the ZEUS experiment and has recently also joined CMS.

Kevin Kröninger is working at the University of Göttingen on the ATLAS experiment, with a focus on top-quark physics. He is one of the authors of the Bayesian Analysis Toolkit (BAT).

Thomas Schörner-Sadenius is a staff scientiest at DESY, Hamburg, where he is currently the leader of the Analysis Centre of the German Helmholtz Alliance 'Physics at the Terascale'.

Grégory Schott is a physicist employed at the Karlsruhe Institute of Technology and works on the CMS experiment. His main contributions are in the field of Higgs physics. He is one of the authors of the ROOSTATS software package.

Table of Contents

1 Fundamental concepts
Roger Barlow

2 Parameter estimation
Olaf Behnke and Lorenzo Moneta

3 Hypothesis testing
Grégory Schott

4 Interval Estimation
Luc Demortier

5 Classification
Helge Voss

6 Unfolding
Volker Blobel

7 Constrained fits
Benno List

8 How to deal with systematic uncertainties
Rainer Wanke

9 Theory uncertainties
Markus Diehl

10 Statistical methods commonly used in high energy physics
Carsten Hensel and Kevin Kröninger

11 Analysis walk-throughs
Aart Heijboer and Ivo van Vulpen

12 Applications in astronomy
Harrison B. Prosper

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