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Enhancing Quality Assurance in Large-scale STAR Production with AutoQA System

This document outlines the procedures for testing and quality assurance (QA) of large-scale DST production within the STAR experiment. It discusses offline QA practices using ROOT-based macros to generate event-wise histograms and scalars for various DST types, including real and simulated data. The AutoQA system, developed in PERL, automates the QA process, providing web-based access to results and ensuring that data quality is maintained across different platforms. Key differences in QA approaches for real data versus nightly productions are also highlighted.

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Enhancing Quality Assurance in Large-scale STAR Production with AutoQA System

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  1. STAR Quality Assurance • Purpose • Testing quality of large scale DST production • Offline QA • Histograms and scalars • AutoQA System • Web-based, uses PERL scripts ALICE/STAR Apr 8, 2000 Curtis Lansdell

  2. Offline QA • ROOT-based macros report via histograms and/or scalars • Event-wise • # TPC hits; is particular table present • Run-wise • mean, rms, min, max # tracks per event in 40 events • 3 DST types produced at STAR • Real data • Cosmic ray events • Simulated data • Mock Data Challenges • Nightly data • Library status check (DEV, NEW, PRO) ALICE/STAR Apr 8, 2000 Curtis Lansdell

  3. Offline QA II • Used differently for various DST types • E.g., Real data vs. Nightly production • Real – infrastructure should be stable • Focus more on quality of data • Nightly – infrastructure probed more • Stability of libraries on different platforms (Linux, Solaris) • Different event generator settings exercise code ALICE/STAR Apr 8, 2000 Curtis Lansdell

  4. AutoQA System • Written in PERL • Builds QA database • Provides web access to results • Jobs run periodically • Finds DST data on disk • Executes macros via PERL scripts automatically • External control files allow certain macros to run • Depends on type of data being analyzed • Evaluates test results & saves to DB STAR->Computing->QA ALICE/STAR Apr 8, 2000 Curtis Lansdell

  5. More on AutoQA • DEV and NEW • Uncovers conceptual and programming errors on limited number of events • PRO • Verify stability of production over large number of events ALICE/STAR Apr 8, 2000 Curtis Lansdell

  6. Work in Progress • Generalize AutoQA through interface to mySQL • Run macros under LSF on RCAS for QA of large scale production (PRO) • Apply AutoQA framework to Online data-taking to verify stability ALICE/STAR Apr 8, 2000 Curtis Lansdell

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