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Data Quality

This document outlines critical procedures for ensuring data quality in particle physics experiments. It covers log file management, checking datasets, and generating standard histograms using SICBMC and Brunel frameworks. Key topics include verifying minimum bias, calculating means and spreads of master histograms, and analyzing discrepancies. Additionally, the document provides guidelines for action when certain particle data is missing and links to further resources. This structured approach aids in maintaining high data quality standards in experimental setups.

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Data Quality

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  1. Data Quality Eric van Herwijnen December 16th 2002

  2. Contents • Log files • Procedures • Standard histograms (SICBMC) • Standard histograms (Brunel)

  3. Log file checking (some suggestions) • Standard string prefix for errors in SICB • If a qq decay file isn’t found, stop SICB • Print the decay tree – take action if required particles aren’t found

  4. Procedure • Check 3 groups of data: • Minimum bias • Generic b’s plus channel • Generic c’s • Physics coordinator should indicate set of ‘OK’ datasets (that have been analysed), 10k events? • Master histograms are produced. Means and spreads are calculated. • Allowed discrepancies are defined. • Utility is created that calculates: • Correlation with master histograms • Deviations of means and spreads

  5. Standard histograms, SICBMC • Primary multiplicity before Geant • Total multiplicity after Geant • ATMC vz - Production point for particles. • AVMC vz - Decay points (vertices) for particles • ATMC mu background vz • No. or particles per event (ATMC) • No. of vertices per event (AVMC) • Primary zvtx • multiplicities of raw hits in subdetector systems. • hits in muon stations. • See http://lhcb-wdqa.web.cern.ch/lhcb-wdqa/pp2002/412800/sicbmc/index.html • And http://lhcb-wdqa.web.cern.ch/lhcb-wdqa/pp2002/61/sicbmc/index.html

  6. Standard histograms, Brunel • To do.

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