1 / 12

Astro-Wise meeting

Astro-Wise meeting. Kapteyn Institute, Groningen 06./07. May 2004 Wolfgang Voges, Hans-Martin Adorf, Gerard Lemson, GAVO. Overview. General questions Demos Areas of common interest Image combination Catalogue matching Source classification Expertise Specific questions Suggestions.

zoe
Télécharger la présentation

Astro-Wise meeting

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. Astro-Wise meeting Kapteyn Institute, Groningen 06./07. May 2004 Wolfgang Voges, Hans-Martin Adorf, Gerard Lemson, GAVO

  2. Overview • General questions • Demos • Areas of common interest • Image combination • Catalogue matching • Source classification • Expertise • Specific questions • Suggestions

  3. General questions • What are the scientific goals of the AstroWise/OmegaCAM project? • What are the use cases/science drivers? • What data/information do astronomers want/need from AstroWise, and in what form? • What data/information does AstroWise want from the outside world, and in what form? • How can VO help?

  4. Demos • MCMCS download manager • ClassX matcher & classifer • SED classifier • Client-server application

  5. Demos (2) • AstroWise “data mining” Web-GUI • Raw pixel data – calibrated images – catalogues • Similar to “AW database-objectviewer” • GAVO Manager for AstroWise data mining • Rich client to navigate in complex data spaces • Allows local user-interaction with the data • Plug-ins ?

  6. Areas of common interest • Image combination • Catalogue matching • Source classification • …

  7. Image combination • Registration • Resampling (regridding) • For visualization - for quantitative analysis? • Difficulties • Resolution mismatch • Geometric distortion correction • Noise • We might be interested and do have some expertise ...

  8. Catalogue matching • Matching (associating) • Central task • fuzzy matching increasingly important with increasing # of catalogues (disambiguation, pruning) • Important quantities • Surface density of sources • Astrometric uncertainties • Auxiliary data (e.g. flux) • We are interested and do have expertise ...

  9. Source classification • Important (obviously) • Can help in resolving matching ambiguities • Often goal-directed/goal-dependant • Often objective classification is not wanted! • We are interested and do have expertise ...

  10. Expertise (1) • Technology • Image combination • Catalogue matching • Statistical pattern recognition & classification • GRID computing • Web-services (REST + SOAP) + registries • Globus TK, also SGE, P2P • J2EE • GUIs (HTML + JSP thin clients; rich clients)

  11. Expertise (2) • Technology (ctnd.) • Databases • Methodology • Data modeling • Data analysis • Expert systems (forward-chaining, back-chaining) • Optimization (e.g. workflow planning & scheduling) • Astronomy

  12. Specific questions • User interaction • How complex is the interaction with the system? • Scope • What is a reasonable project? • Technology • Which could/should we use? • Architecture • How could/should it look like?

More Related