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The VO Data Access Service (VO-DAS) is an OGSA-DAI-based system designed to provide unified access to various astronomy data types, including catalogs, images, and spectra. Its goals include supporting high-volume data queries, interlinking diverse archives, and facilitating data discovery and metadata description. This system employs advanced querying capabilities, ensuring interoperability and efficiency. Our initial findings highlight the identification of potential Milky Way satellite candidates using the SDSS DR5 data, evidencing VO-DAS's practical applications in astronomical research.
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VO-DAS Chenzhou CUI Chao LIU, Haijun TIAN, Yang YANG, etc National Astronomical Observatories, CAS
VO Data Access Service (VO-DAS) • An OGSA-DAI based service system to provide unified access to astronomy data, including catalogs, images and spectra. • Goals of VO-DAS • Supporting high volume data query • Interlinking distributed and heterogeneous archives • catalogs, images, spectrums • Providing a software that works for astronomers
First Science Paper from China-VO • Candidate Milky Way satellites in the Galactic halo(Liu et al., 2008, A&A) • SDSS DR5 photometric data were searched for new Milky Way companions or substructures in the Galactic halo. • Data analysis procedures were based on the VO-DAS. • Five candidates are identified as over-dense faint stellar sources that have color-magnitude diagrams similar to those of known globular clusters, or dwarf spherical galaxies.
Predicted Features • Goals: Uniform access to heterogeneous distributed datasets, bulk of data support • Functions • Catalog, image, and spectrum support • Dataset encapsulating and registry • Data discovery • Metadata description • Jointed query on heterogeneous databases • Bulk of data transfer support • Sync and async queries • Query status tracer • ADQL support
Architecture • Components • VO-DASserver • DataNode • Clients • Registry • Data storage
Technical Highlights • OGSA-DAIbased data node • Asynchronous query and cross match on distributed databases • Extended ADQL, supporting catalog, image and spectrum at the same time
Async Query • Query segmented into sub-queries • Queries assigned to specific DataNodes • Query results transfer among DataNodes • Final results sent to data storage service (VOSpace, FTP, etc) • VO-DAS server supervises the whole process • No data exchange between DataNode and VO-DAS server
Extended ADQL • SELECT s.ra, s.dec, s.g-s.i gi, s.i FROM SDSSDR5:star s WHERE s.ra>=120 AND s.ra<=270 AND s.dec>=25 AND s.dec<=70 AND s.i>=19 AND s.i<=22 AND s.g-s.i>=0 AND s.g-s.i<=1 • SELECT f.Access_reference FROM SDSSDR6:specfile f, SDSSDR6:sspParams s WHERE s.specID=f.specID AND f.SNR>10 AND s.alphafea<=0.2 AND s.feha>-0.9
VO-DASClients • GUI • CLI • WebBrowser • MATLABClient
Interoperability PLASTIC, SAMP
VO Tools (Aladin, TOPCAT) PLASTIC Local DB MATLAB Database Toolbox VOTables Java Libraries MATLAB VO-DAS Client VO-DAS MATLAB based DM environments Astrobox
AstroBox VO Tools (Aladin, TOPCAT) PLASTIC Local DB MATLAB Database Toolbox VOTables Java Libraries AstroBox MATLAB VO-DAS Client VO-DAS • A plug-in package for MATLAB to provide an astronomical data mining application service, supporting VO protocols and tools. • A high-level data analysis environment supporting: • PLASTIC • VOTable • Local DB • VO-DAS client • Astronomical algorithms
Methodology • Density count in area (ra=120~270deg, dec=25~70deg) where i=19~22 and g-i=0~1 in the SDSS DR5 (bin=0.2x0.2deg) • Obtained 524over density area • Calculate CMD for each area • Identify these CMDs by hands
Work done by VO-DAS • 70 millions records queried from SDSS DR7 database • Calculate CMD for each over density area Other tasks done by MATLAB
Lessons learned • Grid and SOAP based data access solution is feasible • Too complex to control • Low performance
Collaboration Environment • CSCW(computer supported cooperative work) • e-Science • VO