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Everything You Wanted to Know About Data Analysis and Fitting but Were Afraid to Ask [electronic resource] / by Peter Young

Author
Young, Peter
Published
Cham : Springer International Publishing : Imprint: Springer, 2015.
Physical Description
X, 85 pages 15 illustrations, 11 illustrations in color : online resource
Additional Creators
SpringerLink (Online service)
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Series
Contents
Introduction -- Averages and Error Bars -- Fitting Data to a Model -- Appendices -- References.
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.
Subject(s)
ISBN
9783319190518
Digital File Characteristics
text file PDF
Note
AVAILABLE ONLINE TO AUTHORIZED PSU USERS.
Part Of
Springer eBooks
View MARC record | catkey: 15200380