A Student's Guide to Data and Error Analysis

A Student's Guide to Data and Error Analysis

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All students taking laboratory courses within the physical sciences and engineering will benefit from this book, whilst researchers will find it an invaluable reference. This concise, practical guide brings the reader up-to-speed on the proper handling and presentation of scientific data and its inaccuracies. It covers all the vital topics with practical guidelines, computer programs (in Python), and recipes for handling experimental errors and reporting experimental data. In addition to the essentials, it also provides further background material for advanced readers who want to understand how the methods work. Plenty of examples, exercises and solutions are provided to aid and test understanding, whilst useful data, tables and formulas are compiled in a handy section for easy reference.n) # # # numbers nft=4096 # array length for FT xm=50. maximum of x-scale delx =2.*xm/nft # # delta x between points in Fx dely=pi/xm # delta y between points in Gy ym=nft*dely/2. maximum of y-scale Fx=zeros((nft), dtype=float) # .5 \io vanbsp;...

Title:A Student's Guide to Data and Error Analysis
Author:Herman J. C. Berendsen
Publisher:Cambridge University Press - 2011-04-07


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