Several standard methods are available, and a data analysis tool should provide easy access to more than one of them. See Figure 1.1 for an example of a function (model) fit to data points.
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In subsequent analysis, the statistical nature of the errors must be handled properly.Īs the last step, measurements are compared to models, and free model parameters need to be determined in this process. One specialty of experimental physics are the inevitable uncertainties affecting each measurement, and visualisation tools have to include these. Quite often, these manipulations are complex ones, and a powerful library of mathematical functions and procedures should be provided - think for example of an integral or peak-search or a Fourier transformation applied to an input spectrum to obtain the actual measurement described by the model. Next, some manipulations typically have to be applied, e.g. corrections or parameter transformations.
Such a model may simply state “the current I is proportional to the voltage U”, and the task of the experimentalist consists of determining the resistance, R, from a set of measurements.Īs a first step, a visualisation of the data is needed. Very often, the model depends on parameters. In the most simple case, a “model” is just a function providing predictions of measured data. Zeise 1 Motivation and IntroductionĬomparison of measurements to theoretical models is one of the standard tasks in experimental physics. This introductory guide illustrates the main features of ROOT which are relevant for the typical problems of data analysis: input and plotting of data from measurements and fitting of analytical functions. Among its prominent features are an advanced graphical user interface, ideal for interactive analysis, an interpreter for the C++ programming language, for rapid and efficient prototyping and a persistency mechanism for C++ objects, used also to write every year petabytes of data recorded by the Large Hadron Collider experiments.
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ROOT is a software framework for data analysis and I/O: a powerful tool to cope with the demanding tasks typical of state of the art scientific data analysis. A ROOT Guide For Beginners A ROOT Guide For Beginners
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