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Outline. Philosophy Table More tables Still more tables (blame Pat) Summary (Table of tables). Philosophy. InIce and IceTop Triggers should configure at deployment Drop in trigger classes Hints to GT to allow appropriate time window extention Robust to data interruptions. Monitoring.
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Outline • Philosophy • Table • More tables • Still more tables (blame Pat) • Summary (Table of tables)
Philosophy • InIce and IceTop Triggers should configure at deployment • Drop in trigger classes • Hints to GT to allow appropriate time window extention • Robust to data interruptions
Monitoring Logging Shower Trigger 4-fold, 10 ms H. Sh. Trigger 5-fold, 100 ns + SF Calibration IDH IDH IDH IDH IDH IDH IDH IDH IDH IDH Data flow through IIT Drop in sub-trigger w/payload scanner and beacon. DAQ control Global Trigger splice Joiner splice - Timestamp and Latency scanner - “Payload” scanner and router • “Beacons” maintain • output frequency
Deployment actions for XXX • Deploy Trigger Module-XXX • Acquire “XXX-config ID” • Acquire List of Subtriggers • Deploy subtriggers • Acquire “subtrigger config ID” • Create subtrigger object • Create scanner, beacon for subtrigger • Configure subtrigger • Create input scanners • Create output beacon • Configure XXX
Time Windows • D- D+ are instructions to GT • Time window is extended to capture early and late event data from other IceCube components • For example: InIce trigger with D-= -10000 enables capture of surfce data.
Data Quality Trigger • Needed to capture questionable data flagged by upstream timestamp and latency scanner. • Definition - TBD
Summary • Lots of tables • Trigger Types • Table of trigger configurations • Tables of sub-trigger configurations • SMT sub-trigger configurations • MBT sub-trigger configurations • Calibration sub-trigger configurations • Data quality sub-trigger configurations • Shower trigger sub-trigger configurations • Data source & Readout types