1 / 34

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

pinckney
Télécharger la présentation

German Astrophysical Virtual Observatory

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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

More Related