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  • Using SAOImage ds9 - CIAO 4. 18 - Harvard University
    Related Links: ds9 Reference Manual ds9 Users Manual: CIAO-style threads on using ds9 Video demos and tutorials Using CIAO Region Files thread Last Update: 13 Jan 2022 - Reviewed for CIAO 4 14 Updated file versions
  • Chandra Newsletter Article
    While DS9 continues to be an independent project serving all fields of astronomy (and beyond), the collaboration with the SDS group has led to several exciting updates specifically of interest to the Chandra CIAO community (see also our previous newsletter article “CIAO and DS9: a powerful pair through DAX ” by Glotfelty et al 2020)
  • Analysis Guide: Video Demos and Tutorials - CIAO 4. 18
    The ds9 catalog tool allows users to annotate their images with markers for sources from many different catalogs (including the Chandra Source Catalog and users own source list, eg output from CIAO's wavdetect, celldetect, and vtpdetect)
  • DAX: The CIAO Analysis Menu in DS9 - CIAO 4. 18
    DAX: ds9 analysis extensions or The CIAO Tools Analysis Menu in DS9 dax *, the Ds9 Analysis eXtensions, is a collection of CIAO tasks that have been integrated with SAOImage DS9 using ds9's analysis menu interface dax provides users access to many CIAO tools and applications using a simplified graphical user interface
  • Using Contrib Color Look-Up Tables - CIAO 4. 17
    Overview Synopsis: Users can follow this thread if they wish to use the contributed color look-up tables in ds9, matplotlib, or dmimg2jpg Purpose: One of the easiest customizations that users can do in CIAO is to use a non-standard color look-up table (LUT) or some times called color map Beyond the aesthetics of a particular color choice, different LUT's can be used to convey additional
  • FAQ: Create images with SAOImageDS9 in a notebook - CIAO 4. 18
    An alternative is to run DS9 interactively to create the desired image, then back it up - using the File Backup menu item - and then restore it in the notebook to create the image
  • True Color Images in ds9 - CIAO 4. 18 - Harvard University
    The smoothing capability in ds9 lets you interactively smooth the data, as opposed to running the CIAO tools aconvolve or csmooth For quantitative data analysis, the configurable CIAO tools are more appropriate, but ds9 does a nice job for publication purposes
  • Gallery: Fitting Data - CIAO 4. 18 Sherpa - Harvard University
    2D Image data: DS9 data-to-model counts ratio image Here we display the data-to-model ratio image of a 2D Image source data set in DS9, Sherpa's default imager The multi-component, source-plus-background model expression used to fit the data is the sum of two 2D Gaussians (bulk and core emission) and a constant (background)
  • Ahelp: dmregions - CIAO 4. 18 - Harvard University
    DS9 regions CIAO understands most of the simple, atomic regions that DS9 can draw including circle, ellipse, point, box, polygons, and annulus The regions that are purely for annotations such as text, line, vector, ruler, projection, and compass are simply ignored
  • Using Data Cubes - CIAO 4. 18 - Harvard University
    How to display the file SAOImage ds9, the default imager distributed with CIAO, has the capability to display data cubes





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