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Trigger Data Quality Assurance Workshop

Trigger Data Quality Assurance Workshop. Offline Monitoring, Diagnostics and Validation session May 6, 2008 Ricardo Gon ç alo. Some questions: How do we make sure that the trigger behaves as expected? If something is wrong, how do we find where the problem happened?

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Trigger Data Quality Assurance Workshop

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  1. Trigger Data Quality Assurance Workshop Offline Monitoring, Diagnostics and Validation session May 6, 2008 Ricardo Gonçalo

  2. Some questions: • How do we make sure that the trigger behaves as expected? • If something is wrong, how do we find where the problem happened? • What tools do we need? What tools do we have? • In offline trigger monitoring, validation and offline reconstruction monitoring: what overlaps? Where can we save work? • How do we organize to make sure this happens? • What is done online during run? (previous session) • What is done offline? • What should be done at CERN and what should be done remotely? • What computing and human resources will be needed at CERN/remotely? • Where does software validation fit? • Manpower: how many people and what skills are needed? • How are they organised? • Single team for offline and online monitoring tasks? Shifts? On-call experts? • How many people can we count on? • What training/skills are needed? • Documentation; general Atlas member/trigger expert Data Quality Workshop, 8 May 08

  3. The session aims are: • To assess our readiness to: • Verify the quality of the online trigger decision • Verify the trigger data saved in the event • To understand how we should organise ourselves to: • Increase the chances of finding and fixing problems • Minimising the effort needed to verify new data • What extra information is useful? • Where do we need specific information/histograms from each detector? • Where do others need information from us? • Avoid duplication of efforts • Understand the offline data quality plans • Our objective for data taking should be to: • Find problems fast and reliably • Be able to certify all steps in the chain • Have coherent approach between online and offline (in trigger and reco) whenever possible Data Quality Workshop, 8 May 08

  4. The story so far… • Online monitoring: • Immediate access to rates and monitoring histos • Needs to react rapidly and talk to run control: main weapons are “Darth Vader” prescaling together with masking cells/turning off channels • Offline monitoring: • Just starting: initial plan is to have remote DQM shift around the world • Castor: • Online monitoring histos stored in Castor • Tier 0: • Runs offline reconstruction (TrigDecisionMaker runs during reconstruction) • Latency of ~24 hours until data is reconstructed (with updated calibration&alignment) • The CAF: • Can run over a few % of data to monitor data quality • Can run L1 simulation/re-run HLT on raw data (see talk by Christiane in this session) • Software validation: • Uses same histograms as monitoring (configurable) Data Quality Workshop, 8 May 08

  5. Diagnostics & validation Tier 0 Online monitoring Offline monitoring ~10% CAF Data Quality Workshop, 8 May 08

  6. Finally… Try to learn from experience: • See e.g. “previous experience” session in Robustness Workshop in March Data Quality Workshop, 8 May 08

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