A Caltech Library Service

VIM: A Tool to Explore Your Sources

Williams, R. D. (2008) VIM: A Tool to Explore Your Sources. In: Astronomical Data Analysis Software and Systems (ADASS) XVII. ASP Conference Series. No.394. Astronomical Society of the Pacific , San Francisco, CA, pp. 173-176. ISBN 978-1-58381-658-5 .

PDF - Published Version
See Usage Policy.


Use this Persistent URL to link to this item:


VIM (Virtual Observatory Integration and Mining) is a web-based data retrieval and exploration application that assumes an astronomer has a list of ‘sources’ (positions in the sky), and wants to explore archival catalogs, images, and spectra of the sources, in order to identify, select, and mine the list. VIM does this through web forms, building a custom ‘data matrix’, whose rows are the uploaded source positions, and the columns show archival data – in fact any VO-registered catalog service can be used by VIM, as well as co-registered image cutouts from VO-image services, and spectra from VO-spectrum services. The user could, for example, show together: proper motions from GSC2, name and spectral type from NED, magnitudes and colors from 2MASS, and cutouts and spectra from SDSS. VIM can compute columns across surveys and sort on these (eg. 2MASS J magnitude minus SDSS g). For larger sets of sources, VIM utilizes the asynchronous Nesssi services from NVO, that can run thousands of cone and image services overnight.

Item Type:Book Section
Related URLs:
URLURL TypeDescription
Williams, R. D.0000-0002-9145-8580
Additional Information:© 2008 Astronomical Society of the Pacific. We are grateful to the National Science Foundation for support of this work through the National Virtual Observatory project, and to the UK Astrogrid project (M. Taylor) for the Stilts package.
Funding AgencyGrant Number
UK Astrogrid projectUNSPECIFIED
Series Name:ASP Conference Series
Issue or Number:394
Record Number:CaltechAUTHORS:20100728-095202218
Persistent URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:19208
Deposited By: Jason Perez
Deposited On:02 Aug 2010 04:57
Last Modified:03 Oct 2019 01:53

Repository Staff Only: item control page