Difference between revisions of "ROOT Tutorial"
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| − | This tutorial aims to provide a solid base to efficiently analyse data with [http://root.cern.ch ROOT]. The main features of |
+ | This tutorial aims to provide a solid base to efficiently analyse data with [http://root.cern.ch ROOT]. The main features of ROOT are presented: histogramming, data analysis using trees and advanced fitting techniques. |
Revision as of 23:54, 28 August 2013
ROOT Tutorials at GridKa School 2013
This tutorial aims to provide a solid base to efficiently analyse data with ROOT. The main features of ROOT are presented: histogramming, data analysis using trees and advanced fitting techniques.
Material for the course
The slides of the lectures are available in electronic form from the school Agenda page.
This Twiki page is available for the exercise.
Complementary material
ROOT Primer Guide, available in pdf, html or epub format. This introductory guide illustrates the main features of ROOT, relevant for the typical problems of data analysis: input and plotting of data from measurements and fitting of analytical functions.
ROOT user guide. It can be downloaded in various format (or only individual chatters) from here.
RooFit User Guide, available in pdf format. A coincide RooFit quick start guide is also available here.
