1. Virtual Survey System sept 04 ASTRO-WISE- federation OmegaCEN AstroWise a Virtual Survey System OmegaCAM – Lofar – AstroGrid –((G)A) VO AstroWise a Virtual Survey System OmegaCAM – Lofar – AstroGrid –((G)A) VO Edwin A. Valentijn

2. Virtual Survey System sept 04 VST

3. Virtual Survey System sept 04 Paranal Mid 2005 2007

4. Virtual Survey System sept 04

5. Large Data Volume Wide-field imaging = vast amounts of data –VST sees equivalent of Southern sky with 0.2” pixels in 3 years. 100 Tbyte of image data and Tbytes of source list data A project like KIDS (1000 Sq Deg) has >10^6 8Mpix raw data images Wide-field imaging = vast amounts of data –VST sees equivalent of Southern sky with 0.2” pixels in 3 years. 100 Tbyte of image data and Tbytes of source list data A project like KIDS (1000 Sq Deg) has >10^6 8Mpix raw data images Handling of the data is non-trivial –Pipeline data reduction –Calibration with very limited resources –Things change in time: –Physical changes (atmosphere, various gains) –Code (new methods, bugs) –Human insight in changes –Working with source lists Science can only be archive based Handling of the data is non-trivial –Pipeline data reduction –Calibration with very limited resources –Things change in time: –Physical changes (atmosphere, various gains) –Code (new methods, bugs) –Human insight in changes –Working with source lists Science can only be archive based

6. Virtual Survey System sept 04 ASTRO-WISE Mission Virtual Survey System Environment that provides systematic and controlled –Access to all raw and calibration data –Execution and modification image/calibration pipelines –Execution of source extraction algorithms- catalogues –Archiving or regenerate on the fly dynamically –Paradigm: no static data releases but dynamic on request data –federated to link different data centers Environment that provides systematic and controlled –Access to all raw and calibration data –Execution and modification image/calibration pipelines –Execution of source extraction algorithms- catalogues –Archiving or regenerate on the fly dynamically –Paradigm: no static data releases but dynamic on request data –federated to link different data centers Dynamical archive continuously grows, can be used for –small or large science projects –generating and checking calibration data –exchanging methods, scripts and configuration Dynamical archive continuously grows, can be used for –small or large science projects –generating and checking calibration data –exchanging methods, scripts and configuration raw pixel data  pipelines/cal files  catalogues

7. Virtual Survey System sept 04 Keys -Solution Procedurizing –Data taking at telescope for both science and calibration data Observing Modes: — Stare — Jitter — Dither — SSO Observing Strategies: — Stan — Deep — Freq — Mosaic –Full integration with data reduction –Design- ADD –Data model (classes) defined for data reduction and calibration –View pipeline as an administrative problem Procedurizing –Data taking at telescope for both science and calibration data Observing Modes: — Stare — Jitter — Dither — SSO Observing Strategies: — Stan — Deep — Freq — Mosaic –Full integration with data reduction –Design- ADD –Data model (classes) defined for data reduction and calibration –View pipeline as an administrative problem

8. Virtual Survey System sept 04 Calibration procedures Sanity checks Quality control Calibration procedures Calibration procedures Image pipeline Source pipeline

9. Virtual Survey System sept 04 AstroWise Pipelines Photometric pipeline Bias pipeline Flatfield pipeline Image pipeline Source pipeline

10. Virtual Survey System sept 04 DB – engine Long search: Objectivity, CERN HEP July 2002 Oracle contract – reference – licenses - consultancy Oracle 9i -> 10g: -Full oo support + Python to db persistency -Terabyte scalability through “partitioned tables” -Administration tools -federation through “Advanced replication” to evolve into cross site links (=references= pointers) –Interoperability: STREAMS connects to others: SyBase, MySQL –Python I/F SQL – OCI- Oracle db (Python binding) Long search: Objectivity, CERN HEP July 2002 Oracle contract – reference – licenses - consultancy Oracle 9i -> 10g: -Full oo support + Python to db persistency -Terabyte scalability through “partitioned tables” -Administration tools -federation through “Advanced replication” to evolve into cross site links (=references= pointers) –Interoperability: STREAMS connects to others: SyBase, MySQL –Python I/F SQL – OCI- Oracle db (Python binding)

11. Virtual Survey System sept 04 Concepts of federation Federation maintained by a single database- Oracle9i Full history tracking by linking (joints, references) –of all input that went into result –providing on-the fly reprocessing Dynamical archive - Context as object attributes –Project: Calibration, Science, Survey, Personal –Owner: Pipeline, Developer, User –Strategy: — Standard — Deep — Freq — Mosaïc –Mode: — Stare — Jitter — Dither — SSO –Time: Time stamping VO I/F Publish Software standards –Classes/data model/procedures –00 – inheritance/ persistency –Python scripts/ c-libraries USER Python Federation maintained by a single database- Oracle9i Full history tracking by linking (joints, references) –of all input that went into result –providing on-the fly reprocessing Dynamical archive - Context as object attributes –Project: Calibration, Science, Survey, Personal –Owner: Pipeline, Developer, User –Strategy: — Standard — Deep — Freq — Mosaïc –Mode: — Stare — Jitter — Dither — SSO –Time: Time stamping VO I/F Publish Software standards –Classes/data model/procedures –00 – inheritance/ persistency –Python scripts/ c-libraries USER Python

12. Virtual Survey System sept 04 Contents of federation Raw data –Observed images –Ancillary information Calibration results –Calibration files time stamped Reduced images –Single observation –Coadded images Software –Methods (pipelines) for processing calibration –Configuration files Source lists – catalogues –Extracted source information –Associated among different data objects Raw data –Observed images –Ancillary information Calibration results –Calibration files time stamped Reduced images –Single observation –Coadded images Software –Methods (pipelines) for processing calibration –Configuration files Source lists – catalogues –Extracted source information –Associated among different data objects

13. Tbyte source lists brains make the associations Link -lists as fast as possible

14. Virtual Survey System sept 04 Status From abstract design to working prototype FIRST VIRTUAL LIGHT 17 April 2003 –WFI@2.2 –INT Federated –USM –OAC Summer 2004 – First massive ingest From abstract design to working prototype FIRST VIRTUAL LIGHT 17 April 2003 –WFI@2.2 –INT Federated –USM –OAC Summer 2004 – First massive ingest

15. Virtual Survey System sept 04 VST - Virtual Survey Telescope

16. Virtual Survey System sept 04 New components Python binding to Oracle – 5LS ۷ Scripting paradigm- ۷ –Wrappers –Make metaphor –Persistency, links as attributes Fileserver ۷ Parallelisation code ۷ Catalogue class/ associating HTM ۷ Federating with Oracle Streams User interfaces –Tell me everything tool on the fly reprocessing Python binding to Oracle – 5LS ۷ Scripting paradigm- ۷ –Wrappers –Make metaphor –Persistency, links as attributes Fileserver ۷ Parallelisation code ۷ Catalogue class/ associating HTM ۷ Federating with Oracle Streams User interfaces –Tell me everything tool on the fly reprocessing

17. Virtual Survey System sept 04 New technologies-paradigm raw data centralized – on the fly reprocessing = VSS sociology- project management ++ Python at top layer(s) = VSS parallel – IP - seti@home user tunable pipelines = VSS ++ db 5 LS – 5 lines script = VSS Distribution – VO = VSS raw data centralized – on the fly reprocessing = VSS sociology- project management ++ Python at top layer(s) = VSS parallel – IP - seti@home user tunable pipelines = VSS ++ db 5 LS – 5 lines script = VSS Distribution – VO = VSS

18. Virtual Survey System sept 04 development issues Indexing Terabytes on the sky Associating entries World wide linking entries/distribution –(referencing) – registries –centralized – replication – p2p –Other p2p’s? Visualisation - imaging Visualisation -multidimensional data VO world - Euro-VO Indexing Terabytes on the sky Associating entries World wide linking entries/distribution –(referencing) – registries –centralized – replication – p2p –Other p2p’s? Visualisation - imaging Visualisation -multidimensional data VO world - Euro-VO

19. Virtual Survey System sept 04