Statistics – Applications
Scientific paper
Jul 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011aspc..442..443c&link_type=abstract
Astronomical Data Analysis Software and Systems XX. ASP Conference Proceedings, Vol. 442, proceedings of a Conference held at Se
Statistics
Applications
Scientific paper
Astronomical surveys have yielded hundreds of terabytes of catalogs and images that span many decades of the electromagnetic spectrum. Even when observatories provide user-friendly web interfaces, exploring these data resources remains a complex and daunting task. In contrast, gadgets and widgets have become popular in social networking (e.g. iGoogle, Facebook). They provide a simple way to make complex data easily accessible that can be customized based on the interest of the user. With ASCOT (an AStronomical COllaborative Toolkit) we expand on these concepts to provide a customizable and extensible gadget framework for use in science. Unlike iGoogle, where all of the gadgets are independent, the gadgets we develop communicate and share information, enabling users to visualize and interact with data through multiple, simultaneous views. With this approach, web-based applications for accessing and visualizing data can be generated easily and, by linking these tools together, integrated and powerful data analysis and discovery tools can be constructed.
Connolly Andrew J.
Gibson Robert R.
Krughoff Simon K.
Smith Ian
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