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Last modified: 11 May 2015

URL: http://cxc.harvard.edu/iris/v2.1/guide.html

Iris How-to Guide


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 Iris Usage Example

Analyzing SED Data in Iris

Iris Plugins Iris Video Tutorial 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.
[Image of Iris Desktop]


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

Install and Run Iris Load Data from File -or-
Import from NED
Build and Manage SEDs
[Iris GUI] [SedImporter GUI] [Iris SED    Builder Window]


Data Visualization

Co-Plot Multiple SEDs Access Metadata and
Data Arrays
[Iris Visualizer] [Point Metadata tab]


Science Functions

Red- or Blue-shift SEDs Interpolate SED Data Integrate SEDs Statistically Combine SEDs
[Redshifted SED] [Interpolated SED] [Calculating Flux Screenshot] [SED Stacker Screenshot]


Modeling and Fitting

Define Model Expressions Choose Fit Statistic and Method
Calculate Model Parameter Confidence Intervals
Add Custom Models
[] [] []


Saving Data

Save SED Data to File Save a Fitted Model to File
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Last modified: 11 May 2015
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