Iris How-to Guide

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The Iris How-to Guide serves as a roadmap for navigating the Iris SED analysis tool. It provides instructions for downloading, installing, and running the Iris application; describes the individual features and capabilities of Iris; and ties it all together in an example SED analysis session.

*** NEW ***

Users can now integrate under fitted model components.

Groups of SEDs may be statistically combined together to create averaged SEDs with the new Iris tool, SED Stacker..

The version of Sherpa packaged with Iris has been updated to 4.7. This means template libraries and table models can now be combined with other libraries, models, and functions as the Model Expression in the Fiting Tool.

SEDs can now be saved in ASCII format.

Download and Installation Introduction to Iris Loading SED Data into Iris Building and Managing SEDs Visualizing SED Data Shifting, Interpolating and Integrating SED Data Modeling and Fitting SED Data Saving SED Data New: Stastically Combining SEDs Iris Usage Example Analyzing SED Data in Iris Iris Plugins The Plugin Manager Developing Iris Plugins Iris Video Tutorial Part 1 -- Building the SED Part 2 -- Modeling and Fitting the SED Please note that these videos were made for Iris v2.0 and do not show all of the new features introduced in Iris 2.1 beta. Iris v2.1 videos will be added after the Iris 2.1 beta release.

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The images and associated links below serve to visually aid you in quickly jumping to a particular sub-section of the How-to Guide.

Entry Point

Data Visualization

Science Functions

Modeling and Fitting

Saving Data