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Iris is an extensible application that provides astronomers with auser-friendly interface capable of ingesting broad-band data from manydifferent sources in order to build, explore, and model spectral energydistributions (SEDs). Iris takes advantage of the standards defined by theInternational Virtual Observatory Alliance, but hides the technicalities ofsuch standards by implementing different layers of abstraction on top of them.Such intermediate layers provide hooks that users and developers can exploit inorder to extend the capabilities provided by Iris. For instance, custom Pythonmodels can be combined in arbitrary ways with the Iris built-in models or withother custom functions. As such, Iris offers a platform for the development andintegration of SED data, services, and applications, either from the user'ssystem or from the web. In this paper we describe the built-in featuresprovided by Iris for building and analyzing SEDs. We also explore in somedetail the Iris framework and software development kit, showing how astronomersand software developers can plug their code into an integrated SED analysisenvironment.

Iris: an Extensible Application for Building and Analyzing Spectral Energy Distributions