WEBDAWEBDA

The database of Stellar The database of Stellar Clusters and AggregatesClusters and Aggregates

Ernst PaunzenErnst Paunzen Institute for Astronomy, University of ViennaInstitute for Astronomy, University of Vienna

Philosophy of WEBDAPhilosophy of WEBDA

Summarize and prepare all Summarize and prepare all publishedpublished data for open clusters data for open clusters

Presentation in a Presentation in a standardizedstandardized wayway

1.1. Own numbering system with transit Own numbering system with transit tablestables

2.2. Independent X,Y coordinatesIndependent X,Y coordinates

Provide Provide toolstools to query the to query the database in any respectdatabase in any respect

History of WEBDAHistory of WEBDA

1972: Start of the Development by1972: Start of the Development by

Jean-Claude MermilliodJean-Claude Mermilliod 1976: First UBV catalogue1976: First UBV catalogue 1987: BDA, 100 000 stars, 500 OCL1987: BDA, 100 000 stars, 500 OCL 1992: 220 000 stars, begin of the CCD era1992: 220 000 stars, begin of the CCD era 1996: WEBDA via WWW-Access1996: WEBDA via WWW-Access 2001: Start of my collaboration2001: Start of my collaboration 2005: WEBDA moved to Vienna2005: WEBDA moved to Vienna 2006: 2 000 000 stars, 5 000 000 2006: 2 000 000 stars, 5 000 000

individual measurements, 1100 OCL, individual measurements, 1100 OCL, about 300 users each day, 70 refereed about 300 users each day, 70 refereed papers per yearpapers per year

Technical AspectsTechnical Aspects

WWW-Server, University Vienna, IBM WWW-Server, University Vienna, IBM pSeries 550, AIX 5.2pSeries 550, AIX 5.2

Complete database system (data, Complete database system (data, maps, scripts and archive) includes maps, scripts and archive) includes 650 Mbyte 650 Mbyte

cgi, Perl, C, sh, frame-environmentcgi, Perl, C, sh, frame-environment /rdb format: ASCII tables with /rdb format: ASCII tables with

headers and <tab> separatorheaders and <tab> separatorStarbase 3.2.3, NoSQL, Gnuplot 4.0, Starbase 3.2.3, NoSQL, Gnuplot 4.0,

GD-Library, .png, all OpenSourceGD-Library, .png, all OpenSource

ContentsContents – Fundamental – Fundamental datadata

IdentificationsIdentifications: 2MASS, ADS, ASCC, : 2MASS, ADS, ASCC, DM, GCVS, GSC, HD, HIP, HR, IDS, DM, GCVS, GSC, HD, HIP, HR, IDS, LSN, LSS, SAO, Tycho-2, WEBDALSN, LSS, SAO, Tycho-2, WEBDA

Transit Tables: Transit Tables: cross-references cross-references between different sourcesbetween different sources

Coordinates: Coordinates: B1950 and J2000B1950 and J2000 Rectangular (X,Y) PositionsRectangular (X,Y) Positions

ContentsContents – Photometric – Photometric datadata

Johnson UBVJohnson UBV Cousins VRICousins VRI Kron VRIKron VRI JHKJHK ASCC - BVASCC - BV Strömgren uvbyStrömgren uvby Crawford Crawford byHalphabyHalphaBecker RGUBecker RGU

DDODDOaa Geneva 7-colorGeneva 7-color IZIZ VilniusVilnius WalravenWalraven Washington Washington

systemsystem WBVRWBVR

ContentsContents – Miscellanous – Miscellanous datadata

Spectral typesSpectral types Lithium abundancesLithium abundances Kinematical dataKinematical data Rotational velocitiesRotational velocities Membership probabilitiesMembership probabilities Spectr. Binaries: orbital elementsSpectr. Binaries: orbital elements Variability: Periods and amplitudesVariability: Periods and amplitudes X-ray: CHANDRA and ROSAT dataX-ray: CHANDRA and ROSAT data List of groups: Am/p, Be, WR, Giants, List of groups: Am/p, Be, WR, Giants,

Blue Stragglers, SB, non-members, Blue Stragglers, SB, non-members, WDWD

ContentsContents – Cluster Level – Cluster Level

Coordinates: Coordinates: and ( and (l,bl,b)) Distance from the SunDistance from the Sun Reddening: E(B-V)Reddening: E(B-V) Distance ModulusDistance Modulus Age: log tAge: log t MetallicityMetallicity Kinematical dataKinematical data Sources: Sources: individual references or individual references or

Catalogue by Wilton Dias (2002, A&A, Catalogue by Wilton Dias (2002, A&A, 389, 871) 389, 871)

Outlook – near futureOutlook – near future

ScienceScience1.1. Normalize all photometric Normalize all photometric

observations to a standard oneobservations to a standard one

2.2. Derive homogeneous cluster Derive homogeneous cluster parametersparameters

3.3. Test new isochrones – NEMO Test new isochrones – NEMO databasedatabase

TechnicalTechnical1.1. Cascading Style SheetsCascading Style Sheets

2.2. New toolsNew tools