Trigger Software Validation Olga Igonkina (U.Oregon), Ricardo Gonçalo (RHUL) TAPM Open Meeting – Mar. 1, 2007 Outline: Status of infrastructure Schedule.

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Trigger Software Validation Olga Igonkina (U.Oregon), Ricardo Gonçalo (RHUL) TAPM Open Meeting – Mar. 1, 2007 Outline: Status of infrastructure Schedule for release 13 RDO data for development and validation

1 Mar. 07TAPM Open Meeting2 Automatic tests Need to address: –Algorithm validation: Already quite some work was done (see e.g. Danilo’s talk) –Integration tests: does it all work together? Will use the new TrigDecision class (hmm…also under development) to compare nightly RTT results with reference Steering monitoring may also be very useful Trying to use the Monitoring machinery (under development) for automatic validation tests in RTT: some –Some good developments: Tomasz produced IMonitoredAlgo and GenericMonitoringTool to instrument hypo classes Meng Wang producing a parallel tool: HLTMonitoringTool (see Data Quality Workshop yesterday) looking at joining efforts –Aim to have this working 2 weeks before rel.13 (…i.e. next week)

1 Mar. 07TAPM Open Meeting3 Example of histogram for overall validation

1 Mar. 07TAPM Open Meeting4 Schedule for release 13 Machinery would ideally start to be used 2 weeks before release to guide fixes An example of hypo instrumented for monitoring will be provided next week and put in RTT Developers will be asked to instrument their algorithms fast so that they can be used in RTT (perhaps mostly/only hypos for now) By the 12 th – 13 th March, most hypos should be ready This leaves little more than 1 week before rel.13

1 Mar. 07TAPM Open Meeting5 RDOs for trigger validation There are plans to write RDOs to tape immediately after reconstruction Only 10% of the HITS for some datasets would be kept on disk The trigger cannot run from HITS at present: it requires HITS  RDO + RDO  ESD Each slice should compile a list of needed RDO samples so that the TAPM can request that they are kept Please consider that lots of background and some signal may be more important than lots of signal and not enough background Example from tau slice: –At least 200 kevents from samples J0, J1, J2, J3 –Around 300 kevents of min.bias (5001) –20 kevents from samples W  had (5107), Z  (5188), A 0   (5862)