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Offline Possibilities for Ancillary Data Handling

Offline Possibilities for Ancillary Data Handling. Raw Data. Separate DAQ streams Would both streams be sent off together via FastCopy or merged beforehand? If - Merge ancillary data into LDF between spills? As “user contribution”?

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Offline Possibilities for Ancillary Data Handling

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  1. Offline Possibilitiesfor Ancillary Data Handling

  2. Raw Data • Separate DAQ streams • Would both streams be sent off together via FastCopy or merged beforehand? • If - Merge ancillary data into LDF between spills? • As “user contribution”? • Could consider Gaudi algs to reconstruct beamline elements with simple calibrations • Would involve the different detector types and calibrations – would need consulting from Joanne for the calibrations definitions if we want them time dependent • Add in to svac tuple; add parallel beamtest digi tree? • Else - Separate app to reconstruct beamline elements • What is the form of the raw data? • Would be nice if this was not reconstructed with a PAW macro! • Code should be in cvs for all to see and use • Presumably output would be form of Root tree/ntuple • How to synch data: • Want same run/event number • Who verifies the synch? Ric has ideas for slaved scalars to track synch • Output Root data files – ntuple for summary info • Separate BT tuple or additions to svac? • Input to data server to allow easy association with merit, svac/beamtest

  3. Near Real Time • LATTE multicasts events • would/could LATTE wait until it gets the ancillary data into LDF before sending the event to Gleam listener? • could consider socket connection to Gleam to sample events for digi+engUnits & FRED viewing • Would need to develop this for Gleam • Would have other uses too – eg Gleam server pool for event display, etc • See Leon’s talk for throughput in this mode • Otherwise run Gleam after the end of run • For quicker turnaround on digi + engUnits

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