Data Mining Large Surveys: The IPHAS Early Data Release

Details Data Mining Large Surveys: The IPHAS Early Data Release Data Mining Large Surveys: The IPHAS Early Data Release

Aug 2008

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008aspc..394..197g&link_type=abstract

Astronomical Data Analysis Software and Systems ASP Conference Series, Vol. 394, Proceedings of the conference held 23-26 Septem

Astronomy and Astrophysics

Astronomy

Scientific paper

The INT/WFC Photometric Hα Survey of the Northern Galactic Plane is an imaging survey being carried out in Hα, r' and i' filters, with the Wide Field Camera (WFC) on the 2.5-metre Isaac Newton Telescope (INT) to a depth of r'=20 (10σ). The survey has a number of key scientific aims focused on both the understanding of large scale structure in our local galaxy, and also the properties of key early and late populations making up the Milky Way. Mapping emission line objects enables a particular focus on objects in the early and late stages of stellar evolution ranging from early T-Tauri stars to late planetary nebulae. In this paper we highlight the IPHAS Early Data Release, primarily a photometric catalogue of about 200 million unique objects, coupled with associated image data covering about 1600 square degrees in three colours. We note how access to the primary data products has been implemented through use of standard virtual observatory publishing interfaces. Simple traditional web access is provided to the main IPHAS photometric catalogue, in addition to a number of common catalogues (such as 2MASS) which are of immediate relevance. Access through the AstroGrid VO Desktop gives a richer range of analysis opportunities, allowing more sophisticated queries of the IPHAS data along with full integration to the wider range of data and services accessible through the Virtual Observatory. We note how this publication of the IPHAS catalogues and image data represents the largest data set published solely through Virtual Observatory interfaces, pointing the way to a possible paradigm shift in our traditional approach to providing data mining access of large and medium survey data.

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