Everything You Wanted to Know About Data Analysis and Fitting but Were Afraid to Ask

These notes describe how to average and fit numerical data that have been obtained either by simulation or measurement. Following an introduction on how to estimate various average values, they discuss how to determine error bars on those estimates, and how to proceed for combinations of measured values. Techniques for fitting data to a given set of models will be described in the second part of these notes. This primer equips readers to properly derive the results covered, presenting the content in a style suitable for a physics audience. It also includes scripts in python, perl and gnuplot for performing a number of tasks in data analysis and fitting, thereby providing readers with a useful reference guide.

List of contents

Introduction.- Averages and Error Bars.- Fitting Data to a Model.- Appendices.- References.

About the author

Peter Young ist am Gonville and Caius College in Cambridge Dozent für Geschichte und Archäologie. Er lebt in Crawley, West Sussex.

Summary

These notes describe how to average and fit numerical data that have been obtained either by simulation or measurement. Following an introduction on how to estimate various average values, they discuss how to determine error bars on those estimates, and how to proceed for combinations of measured values. Techniques for fitting data to a given set of models will be described in the second part of these notes. This primer equips readers to properly derive the results covered, presenting the content in a style suitable for a physics audience. It also includes scripts in python, perl and gnuplot for performing a number of tasks in data analysis and fitting, thereby providing readers with a useful reference guide.

Product details

• Authors: Peter Young
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2015
• EAN: 9783319190501
• ISBN: 978-3-31-919050-1
• No. of pages: 85
• Dimensions: 156 mm x 204 mm x 7 mm
• Weight: 174 g
• Illustrations: X, 85 p. 15 illus., 11 illus. in color.
• Series: SpringerBriefs in Physics; SpringerBriefs in Physics
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; C, Statistics, Mathematische Physik, Physics, Measurement, Theoretical, Mathematical and Computational Physics, Physics and Astronomy, Measurement Science and Instrumentation, Physical measurements, Mathematical physics, Probability & statistics, Numerical and Computational Physics, Simulation