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Helpful Tools for Distribution Monitoring and Validation Process

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Discover useful ROOT macros for comparing histograms, creating web reports, and conducting automatic comparisons for distributions and efficiencies. These tools provide interactive exploration and a record of distributions in HTML format, enhancing your monitoring validation efforts. Find guidance on application comparison and creating configuration files for testing.

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Helpful Tools for Distribution Monitoring and Validation Process

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  1. Some Notes Aldo F. Saavedra

  2. Structure of the monitoring Things that I found useful to detect change: one aim of the validation. • Three types of ROOT C macros available: • A macro that compares histograms. • It has a menu to plot all the distributions of the desired category. • Useful to explore the distributions since it is interactive ROOT. • A macro to create a web report. • Provides a record (tables, plots, summaries in html format) of all the distributions which you can quickly browse through. • An automatic comparison • For distributions: K-Test(overall), QQ plot(to see if the change is a shift, skew, a mixture, etc), mean and rms. • For Efficiencies: The difference in the average mean is checked and the bin by bin difference plotted. • A simple macro that superimposes and normalises any two histograms. • I found this useful when I wanted to compare two distributions. • The macros are integrated, ie. They use the same functions. • They need updating (add functionality and some bug fixing).

  3. Offline DQMF • https://twiki.cern.ch/twiki/bin/view/Atlas/DQHistogramAnalyzer • https://twiki.cern.ch/twiki/bin/view/Atlas/OfflineDQMFTutorial • It is very general, the provide lots of tests. We just need two. • There are five applications which perform the comparison and print results. • You create a configuration file for what test and limit for the given test that is the input to the application.

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