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OverviewThese 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. Full Product DetailsAuthor: Peter Young (Aspinwall & Company Limited)Publisher: Springer International Publishing Imprint: Springer International Publishing ISBN: 9783319190518ISBN 10: 3319190512 Pages: 88 Publication Date: 01 January 2015 Audience: General/trade , General Format: Electronic book text Publisher's Status: Active Availability: In stock  We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Language: Undetermined Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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