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GAVO – after one year. H.-M. Adorf & the GAVO team. GAVO’s Pillars. Publication and federation of datasets including theoretical ones Spatial matching & classification & visualization (NGSE) Grid computing. The GAVO Team. PI: Wolfgang Voges, MPE, Garching

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gavo after one year

GAVO – after one year

H.-M. Adorf & the GAVO team

gavo s pillars
GAVO’s Pillars
  • Publication and federation of datasets
    • including theoretical ones
  • Spatial matching & classification & visualization (NGSE)
  • Grid computing
the gavo team
The GAVO Team
  • PI: Wolfgang Voges, MPE, Garching
  • CoI: Matthias Steinmetz, AIP, Potsdam
  • Hans-Martin Adorf, MPE
  • Harry Enke, AIP
  • Gerard Lemson, MPE
collaborations
Collaborations
  • MPE, Garching (Peter Schuecker)
  • AIP Potsdam
  • Canadian Virtual Obs. (CVO), Victoria
  • Universitaetssternw. Muenchen (USM)
  • MPA, Garching (Planck, …)
gavo work areas
GAVO Work Areas
  • Publication of ROSAT datasets
    • REST-based SCS service (HTTP GET in; XML, CSV, HTML out)
    • SOAP-based SCS service
  • MCMCS Download Manager
  • Fuzzy spatial matcher
  • Grid-based detection of galaxy clusters
  • ROSAT matcher/classifier service
rosat all sky survey rass
ROSAT All-Sky Survey (RASS)
  • BSC, FSC & Photons
  • VO-compatibility:
    • Input: Simple cone search
    • Output: VOTable, …
  • New features
    • Exposure times
    • Galactic & Cartesian coordinates
    • Healpix indices
mcmcs download manager
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
fuzzy spatial matcher
Fuzzy spatial matcher
  • 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
grid computing
Grid computing
  • What is Grid-computing?
    • Globus Toolkit, SGE, EJBs
    • WebServices
  • Detection of galaxy clusters
    • using RASS photons, SDSS
  • RASS source classification
    • using RASS B/FSC, SUMSS, NVSS, USNO
galaxy cluster detection
Galaxy-cluster detection
  • Search for galaxy clusters in heterogeneous databases
    • RASS photons
    • SDSS
  • Software
    • FORTRAN 90 code (data analysis)
    • Perl scripts (data/grid management)
    • Globus Toolkit
galaxy cluster detection1
Galaxy-cluster detection
  • Components
    • Setup script
      • Sets up the directory structure
      • Distributes the software across the grid
    • Execution script
      • Triggers the parallel execution on the compute nodes
    • Data collection script
      • Retrieves the results from the compute nodes
status
Status
  • Perl scripts
  • Upgrading the RASS Photon DB
  • Soon integrate the SDSS mirror copy
rass source classifier
RASS-source classifier
  • ClassX: international collaboration
      • T.A. McGlynn, A.A. Suchkov, E.L. Winter, R.J. Hanisch, R.L. White, F. Ochsenbein, S. Derriere, W. Voges, M.F. Corcoran
  • Requires data from several sky-surveys
      • X-ray: ROSAT BSC+FSC
      • Optical: USNO, (SDSS)
      • Infrared: (2MASS)
      • Radio: FIRST, NVSS, SUMSS
  • Distributed multi-wavelength VO-application
rass source classifier1
RASS-source classifier
  • State & session management
    • Using Java Servlet session mechanism
    • Internal abstract state machine
  • Strong points
    • End-to-end VO-application
    • Works with lists of objects / sky-coordinates
    • Accesses several distributed databases
    • Uses deterministic matcher (at Vizier and SDSS)
    • Uses probabilistic matcher (at GAVO)
    • Uses data analysis service (at NASA)
rass source classifier2
RASS-source classifier
  • Future work
    • Use IVOA-standards or protocols
      • VOTable
      • WSDL, SOAP-based Web Services
      • Add graphics
    • Multi-threaded
    • Modularize, generalize and make S/W configurable
rass source classifier3
RASS-source classifier
  • Open questions
    • Is an HTML form-based GUI sufficiently powerful to control a complex grid application?
    • What are the user expectations wrt the workflow?
    • Is there a standard workflow that one could use / agree upon?
conclusion
Conclusion
  • GAVO is a small, but ambitious project
  • Two Grid applications
    • Detection of galaxy clusters
      • Globus Toolkit
    • Classification of ROSAT sources
      • Based on WebServices
references
References
  • GAVO Mid-Term Report, 90 pages, http://www.g-vo.org (soon)
  • Detection of X-ray Clusters of Galaxies by Matching RASS Photons and SDSS Galaxies within GAVO, P. Schuecker, H. Boehringer, W. Voges, A&A (submitted)
  • Automated classification of ROSAT sources using heterogeneous multiwavelength catalogs, T.A. McGlynn et al., ApJ (submitted)
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