Iris: The VAO SED Application

TL;DR

Iris is a comprehensive application for analyzing spectral energy distributions in astronomy, integrating multiple tools and standards to facilitate data visualization, model fitting, and data retrieval from various sources.

Contribution

Iris uniquely combines existing software components and IVOA standards into a unified platform for SED analysis, streamlining workflows and enhancing functionality.

Findings

Successful integration of Specview, Sherpa, SEDLib, and SedImporter.

Demonstrated retrieval and analysis of SEDs from multiple sources.

Enhanced interoperability through IVOA standards.

Abstract

We present Iris, the VAO (Virtual Astronomical Observatory) application for analyzing SEDs (spectral energy distributions). Iris is the result of one of the major science initiatives of the VAO, and the first version was released in September 2011. Iris combines key features of several existing software applications to streamline and enhance SED analysis. With Iris, users may read and display SEDs, select data ranges for analysis, fit models to SEDs, and calculate confidence limits on best-fit parameters. SED data may be uploaded into the application from IVOA-compliant VOTable and FITS format files, or retrieved directly from NED. Data written in unsupported formats may be converted using SedImporter, a new application provided with Iris. The components of Iris have been contributed by members of the VAO. Specview, contributed by STScI, provides a GUI for reading, editing, and displaying SEDs, as well as defining models and parameter values. Sherpa, contributed by the Chandra project at SAO, provides a library of models, fit statistics, and optimization methods; the underlying I/O library, SEDLib, is a VAO product written by SAO to current IVOA (International Virtual Observatory Alliance) data model standards. NED is a service provided by IPAC for easy location of data for a given extragalactic source, including SEDs. SedImporter is a new tool for converting non-standard SED data files into a format supported by Iris. We demonstrate the use of SedImporter to retrieve SEDs from a variety of sources--from the NED SED service, from the user's own data, and from other VO applications using SAMP (Simple Application Messaging Protocol). We also demonstrate the use of Iris to read, display, select ranges from, and fit models to SEDs. Finally, we discuss the architecture of Iris, and the use of IVOA standards so that Specview, Sherpa, SEDLib and SedImporter work together seamlessly.