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All Hands Meeting, Edinburgh, 8-11 Sep 2008 Laurent Lerusse, ESC Victoria Marshall, CICT

From Grenouille to Polar Bears Managing metadata and data capture for the Astra-Gemini 0.5 PW laser. All Hands Meeting, Edinburgh, 8-11 Sep 2008 Laurent Lerusse, ESC Victoria Marshall, CICT Edwin Divall, CLF. What is STFC? Our Vision of Data Management The Central Laser Facility

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All Hands Meeting, Edinburgh, 8-11 Sep 2008 Laurent Lerusse, ESC Victoria Marshall, CICT

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  1. From Grenouille toPolar Bears Managing metadata and data capture for the Astra-Gemini 0.5 PW laser All Hands Meeting, Edinburgh, 8-11 Sep 2008 Laurent Lerusse, ESC Victoria Marshall, CICT Edwin Divall, CLF

  2. What is STFC? • Our Vision of Data Management • The Central Laser Facility • CLF Architecture Overview • Polar Bear System • Elk: the Electronic Log booK • What’s next?

  3. What is STFC? • Science and Technology Facilities Council • Funds researchers in universities. • Provides scientific and technical expertise. • Provides access to world-class facilities overseas: CERN, ESA,ESO, ESRF, ILL, telescopes in Chile, Hawaii, La Palma and Australia. • Manages world-class facilities in UK: ISIS, the Central Laser Facility, HPCx and the Diamond Light Source.

  4. Data Analysis Data Acquisition System Experiment Information E-Pubs Secure Storage Proposal System Metadata Catalogue Integrated e-Infrastructure Data and Metadata Capture is automated. Proposal Publication

  5. Experiment Data Store Data Store Data Data Data Data Integration via Metadata Data Data Experiment Metadata Analysis Metadata Metadata Simulation Data

  6. Central Laser Facilityfrom dual beam Petawatt to commercial size lasers • Multiple lasers: VULCAN, ASTRA, Laser For Science • New laser: Astra-Gemini - October 2007 • Targets area are ‘rebuilt’ with new diagnostics for each experiment. http://www.clf.rl.ac.uk/

  7. Astra-Gemini • Dual beam high intensity pulsed laser • 0.5 PW or 15 J in 30 fs • Repetition rate of 3 shots per minute • Adaptive optics for high beam quality • This upgrade represents an improvement of a factor • * 10 in intensity • * 100 in repetition rate

  8. 15 types of data All interconnected CLF Data Flow • At the moment, we are concentrating our effort on the proposals and laser data.

  9. Top Level Architecture eCAT Visualisation Analysis PolarBear Metadata ELk Manual Laser representation eCATDB Latest DAQ Automatic NeXus Writer CLF SRB Archive

  10. Polar Bear System • Initial aim: • Gather information on the laser components and the data they produce in an XML format which could be integrated with the data.

  11. Polar Bear System • Instruments: • 33 different types in 2 categories: • Catalogueable (identifiable) • Generic • Need manual input to fill the details • Serial no, focal length, model, etc • Examples: • Grenouille (From Swamp Optics) • Polarizer (aka Polar Bear) • Telescope

  12. Polar Bear System • XML description of the laser. • Laser defined using: - Assemblages - Channels - DataStreams • Meta-information within the structure: • Instruments • Shot type • Data collection type • Next component

  13. Polar Bear System Orthogonal classification/view of the laser: Three-level hierarchy to locate each Channel: - By room, - By table, - By the type of data. Simpler view for ‘everyday’ use and the user interface. Includes the Channel and DataStream names. The data will contain both structure and description with all the metadata. 13

  14. Electronic Lab booK (ELk) • Initial aim: • Ruggedised WiFi PDA. • Allows the operator to log non-automatic information from the laser “shop floor”. • Safety goggles and reduced lighting made the interface challenging! • Uses the PolarBear metadata to present a customised interface for manual readings and incidents. • Integrates seamlessly with the rest of the DAQ system.

  15. Electronic Lab booK (ELk) • Parallel PDA + desktop version, used to: • Present “Daily instructions” on how to switch the laser on. • Record instrument configuration changes. (eg. Diode blows up.) • Record environmental factors. • Upload pictures, screen dumps and comments from dedicated h/ware. • Stores the data in a database and uploads XML/NeXus files. 15

  16. What did we learn? • Defining a complex system such as Astra-Gemini in a machine readable format (XML) is not easy. • Filling metadata is hard to set up, but pays dividends later. • “Culture shock” between the laser scientists/operators and the computer scientists. (“You want me to hand-edit XML??”) • Evolution, not revolution, for a new approach to data management/analysis. 16

  17. Technical details • DAQ: LabView and Visual Basic • neXusWriter: C++ and some Python • PolarBear: ASP and JavaScript • ELk: Java, Ajax and JavaScript • eCAT: Java • Data storage: Oracle and SRB

  18. What’s next? • VULCAN the other powerful laser • Target areas • Need much more flexibility (new experiment every 6 weeks), • User friendliness (users change with each experiment), • Robustness and (lots of new users ), • Direct rewards (benefits for the user must be obvious and direct), • Data Rights.

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