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

USM 13-Feb-2004 Now: N x M interfaces

USM 13-Feb-2004 Future: N + M interfaces

USM 13-Feb-2004 (GA)VO architecture

USM 13-Feb-2004 International Virtual Observatory Alliance

USM 13-Feb-2004 IVOA working groups Registry Data Access Layer Data Modeling VOQL/ADQL VOTable UCD Grid and Web services

USM 13-Feb-2004 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

USM 13-Feb-2004 Registry

USM 13-Feb-2004 SCS

USM 13-Feb-2004 Result

USM 13-Feb-2004 VOTable

USM 13-Feb-2004 Tools – Aladin

USM 13-Feb-2004 Data Model What? Why? Observation Quantity Simulation Domain model/ontology as “Esparanto” Archive meta-data repositories

USM 13-Feb-2004 GAVO’s Pillars Federation of datasets Matching & Classification & Visualization (NGSE) Theoretical VO and Theory-Observation Interface Grid computing

USM 13-Feb-2004 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

USM 13-Feb-2004 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

USM 13-Feb-2004 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

USM 13-Feb-2004 Theory in the VO Publication of simulations Exposing theory services Theory-observational interface “Virtual telescope”, e.g. for proposal preparation support

USM 13-Feb-2004 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

USM 13-Feb-2004 GAVO Accomplishments Publication of ROSAT datasets Download Manager Matcher Documents ADASS contributions TVO White Paper WIP VOTable readers and writers Service “adapters”

USM 13-Feb-2004 ROSAT BSC, FSC & Photons VO-compatibility: Simple cone search in VOTable out New features Exposure times Galactic & Cartesian coordinates Healpix indices

USM 13-Feb-2004 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

USM 13-Feb-2004 MCMCS Download Manager

USM 13-Feb-2004 MCMCS Download Manager

USM 13-Feb-2004 Workflow

USM 13-Feb-2004 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

USM 13-Feb-2004 Matcher (on-going work)

USM 13-Feb-2004 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

USM 13-Feb-2004 Theory in the VO TVO white paper Formation of an IVOA special interest group

USM 13-Feb-2004 Outlook Emphasis on 3 rd generation REST- or SOAP-based Web services  Proxy/adapter services, e.g. to SDSS, CDS, NED, …  “Virtual telescope” for proposal preparation support 4 th 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

USM 13-Feb-2004 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

USM 13-Feb-2004 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

USM 13-Feb-2004 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?

USM 13-Feb-2004 Discussion