Sign on

SAO/NASA ADS arXiv e-prints Abstract Service


· Find Similar Abstracts (with default settings below)
· arXiv e-print (arXiv:0906.1535)
· References in the Article
· Also-Read Articles (Reads History)
·
· Translate This Page
Title:
Science with the Virtual Observatory: the AstroGrid VO Desktop
Authors:
Tedds, Jonathan A.
Publication:
eprint arXiv:0906.1535
Publication Date:
06/2009
Origin:
ARXIV
Keywords:
Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - High Energy Astrophysical Phenomena
Comment:
8 pages; 7 figures; proceedings of invited talk at "Multi wavelength astronomy and the Virtual Observatory" conference, December 2008, EuroVO-AIDA program, European Space Astronomy Centre, Spain
Bibliographic Code:
2009arXiv0906.1535T

Abstract

We introduce a general range of science drivers for using the Virtual Observatory (VO) and identify some common aspects to these as well as the advantages of VO data access. We then illustrate the use of existing VO tools to tackle multi wavelength science problems. We demonstrate the ease of multi mission data access using the VOExplorer resource browser, as provided by AstroGrid (http://www.astrogrid.org) and show how to pass the various results into any VO enabled tool such as TopCat for catalogue correlation. VOExplorer offers a powerful data-centric visualisation for browsing and filtering the entire VO registry using an iTunes type interface. This allows the user to bookmark their own personalised lists of resources and to run tasks on the selected resources as desired. We introduce an example of how more advanced querying can be performed to access existing X-ray cluster of galaxies catalogues and then select extended only X-ray sources as candidate clusters of galaxies in the 2XMMi catalogue. Finally we introduce scripted access to VO resources using python with AstroGrid and demonstrate how the user can pass on the results of such a search and correlate with e.g. optical datasets such as Sloan. Hence we illustrate the power of enabling large scale data mining of multi wavelength resources in an easily reproducible way using the VO.
Bibtex entry for this abstract   Preferred format for this abstract (see Preferences)

   

Find Similar Abstracts:

Use: Authors
Title
Keywords (in text query field)
Abstract Text
Return: Query Results Return    items starting with number
Query Form
Database: Astronomy
Physics
arXiv e-prints