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German Astrophysical Virtual Observatory

German Astrophysical Virtual Observatory. Overview and Results So Far W. Voges, G. Lemson, H.-M. Adorf. Now: N x M interfaces. Future: N + M interfaces. (GA)VO architecture. International Virtual Observatory Alliance. IVOA working groups. Registry Data Access Layer Data Modeling

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German Astrophysical Virtual Observatory

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  1. German Astrophysical Virtual Observatory Overview and Results So Far W. Voges, G. Lemson, H.-M. Adorf

  2. Now: N x M interfaces

  3. Future: N + M interfaces

  4. (GA)VO architecture

  5. International Virtual Observatory Alliance

  6. IVOA working groups • Registry • Data Access Layer • Data Modeling • VOQL/ADQL • VOTable • UCD • Grid and Web services

  7. Standards and Protocols • IVOA exchange standards • Simple Cone Search (SCS) • Simple Image Access (SIA) • Simple Spectra Access (SSA) • VOTable • OpenSkyNode, VOQL/ADQL • General standards • HTTP, XML, SOAP, WSDL

  8. Registry

  9. SCS

  10. Result

  11. VOTable

  12. Tools – Aladin

  13. Data Model What? Why? • Observation • Quantity • Simulation • Domain model/ontology as “Esparanto” • Archive meta-data repositories

  14. GAVO’s Pillars • Federation of datasets • Matching & Classification & Visualization (NGSE) • Theoretical VO and Theory-Observation Interface • Grid computing

  15. Federation of Datasets • Towards a multi-wavelength view of universe • Matching • Source extraction (P. Schuecker et al.) • Classification (GAVO/ClassX) • SED’s • ADQL/OpenSky Node

  16. Federation of Datasets (cntd.) • Web services • Allow J2EE and .NET applications to interact with each other • Based on standards + protocols • HTTP + XML or SOAP + WSDL • Examples • MCMCS download manager

  17. NGSE (Next Generation Search Engine) • Download Manager • Retrieves data from multiple distributed databases • Matcher • Matches sources based on sky-position (astronomical sources have no unique identifier) • Classifier • Uses multi-wavelength data for identification purposes • Visualization Tool

  18. Theory in the VO • Publication of simulations • Exposing theory services • Theory-observational interface • “Virtual telescope”, e.g. for proposal preparation support

  19. Grid computing • Working with Globus Toolkit • Looking into alternative technologies • SGE, EJBs • Gadget simulation running on joint MPE and AIP workstation clusters • Interested in a good application • that would benefit from parallel distributed computing: • too large to run on a single computer, or • require a quick turn around

  20. GAVO Accomplishments • Publication of ROSAT datasets • Download Manager • Matcher • Documents • ADASS contributions • TVO White Paper • WIP • VOTable readers and writers • Service “adapters”

  21. ROSAT BSC, FSC & Photons • VO-compatibility: • Simple cone search in • VOTable out • New features • Exposure times • Galactic & Cartesian coordinates • Healpix indices

  22. MCMCS Download Manager • Tool … • … accesses registry at JHU • User … • … selects up to 70 distributed catalogues • … specifies one or more sky-locations • Tool … • … queries remote catalogues • … retrieves datasets (VOTables) for further processing

  23. MCMCS Download Manager

  24. MCMCS Download Manager

  25. Workflow

  26. Matcher (on-going work) • Essential for data mining • Prototype features • Performs “fuzzy” match between pairs of source lists from different catalogues • Computes probability of real match based on astrometric uncertainties • Moving matcher into production use • Currently exported to Canadian Virtual Observatory • Feeding matches to ClassX classifier • Long-term goal: assemble an SED

  27. Matcher (on-going work)

  28. Classification (soon) • ClassX: international collaboration • Requires data from several large sky-surveys • X-ray: ROSAT (BSC + FSC) • Optical: SDSS, USNO • Infrared: 2MASS • Radio: FIRST, NVSS, SUMSS • True multi-wavelength VO-application

  29. Theory in the VO • TVO white paper • Formation of an IVOA special interest group

  30. Outlook • Emphasis on • 3rd generation REST- or SOAP-based Web services • Proxy/adapter services, e.g. to SDSS, CDS, NED, … • “Virtual telescope” for proposal preparation support • 4th generation “Grid” application: combination of several Web services into one, e.g. • Upload of coordinate list to major datacenters • Combine match lists using “fuzzy” matcher • Construct quasi SED • Feed match candidates into remote ClassX classifier • Plan: offer as public service

  31. Collaboration Models • Listen to scientists/end user requests • Support data publication • Implement new services • E.g. decision support tool for (observing or funding) proposal preparation

  32. How could we help? • Knowledge transfer • Publishing datasets in a VO-compatible form • Establishing new services (e.g. wrappers around legacy code) • Offer expertise with Web and J2EE apps, protocols and new standards

  33. Questions • What do you expect from us? • What role do you see yourself in? • Scientist/end user or data provider? • What could you offer? • How can we collaborate?

  34. Discussion

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