Last update: Apr 1, 2000
Lawrence Berkeley National Lab
Speaker: Charles LeggettA troubling theme that pervades modern data analysis tools available in the world of high energy and nuclear physics today, is that the user is usually constrained to a specific platform and file format. PAW, ROOT, and HepTuple are all culprits in this regard. Furthermore, modern tools such as ROOT, JAS and OpenScientist seek to blend the lines between data analysis tools, and visualization tools, which often should be kept discrete, requiring the use of large libraries.
We present a statistical data interface layer, which treats histograms and ntuples as discrete, lightweight objects, allowing simple manipulations, and the ability to either save the objects in traditional file formats such as hbook or ROOT, or to pass them on to applications. This functionality is provided by a class library, that can be linked to existing code with minimal modifications, enabling the histogramming of virtually any data type.
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