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A collection of various notebooks using CIAO tools to do good CIAO stuff.

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CIAO Notebooks

This is a collection of CIAO notebooks that I've written.

These are not offical products of the CXC, Chandra, or any of the other various affiliations you might want to consider. All opinions are my own.

Use at your own risk. Most won't work with current version of CIAO without modifications, but should give you some ideas about what is possible.

  • DitherEffectOnSpatialResolution.ipynb (now part of the CIAO documentation). Discusses how spacecraft dither limits subpixel resolution.
  • E_Model_Example.ipynb and example of a reconstruction using my emodel script
  • Expansion.ipynb shows how to manipulate WCS and reproject datasets to simulate expansion of an extended source.
  • FAP_Example.ipynb uses Frank Primini's next generation aperature photometry
  • Future_Arf_6676.ipynb shows how to modify ardlib parameters to generate an ARF for a future observation (off axis in this case).
  • PSF_Contamination.ipynb shows how to identify and begin to quantify amount of PSF contamination in radial profile bins.
  • PrettyPictureProcessingSteps.ipynb creating fluxed tricolor images
  • SourceInChipGap.ipynb (now part of the CIAO docs), analysis of a source in chip gap
  • WhyEarlyData.ipynb presents an argument for processing early data
  • bias_repair_bad_idea.ipynb many interesting analysis techniques are shown to understand why pixels were not longer considered bad after bias "repair"
  • dmimgadapt_expmap_separately.ipynb why you should not smooth fluxed images (smooth counts and exposure separately)
  • reproject_aspect_and_merge.ipynb an example of reproject_aspect to improve alignment between observations.
  • Deblend Experiment.ipynb shows how to randomly assign individual events from overlapping sources to a specific source.
  • commanded_dither_parameters.ipynb how to estimate dither parameters from Chandra engineering data.

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