Ingesting the introduction to IXPE data analysis notebook from SciServer cookbooks

[DavidT3]

My first pass at ingestion of the IXPE introduction notebook from sci-server into HEASARC-tutorials. It has been transplanted into the format required by HEASARC-tutorials, verified to run on Fornax directly, and had some improvements to the code/readability of the code.

Some of the text has been modified by myself, as has the structure. More editing of the text and narrative is likely required to finish it off.

Concerned this notebook may not run on CI/CD because of the less common XSPEC models that it fits

HEASARC notebook review template

Critical review criteria

The author of the pull request should make an effort to go through these check points and ensure that their submission satisfies each point - reviewers will also compare to these checklists.

Science review checklist

• Does using high-energy data make up a significant part of the tutorial?
• Is there a use case in the introduction that motivates the code?
• Does the code do what the introduction says it is going to do?
• Is it scientifically accurate?
• Have all necessary references to literature been included?

Formatting checklist

• Did you base your notebook on the HEASARC-tutorials template?
• Are all sections in the HEASARC-tutorial template included in your notebook?
• Is the notebook title compact and informative? It will be the name of the notebook on the HEASARC website!
• Have you populated the notebook front-matter (the metadata at the top of the notebook)?
• Is the kernel specified in the front-matter (e.g., heasoft, sas, ciao) correct for the notebook?
• Have you added an entry for your notebook in the *_index.md file for the containing directory?

Tech review checklist

• Documentation:
  • Is every function documented?
  • Do all code cells have corresponding narratives/comments?
  • Are all code comments of a purely technical nature? All narratives should be in Markdown cells.
  • Did you populate the 'Runtime' section?
• Notebook execution, error handling, etc.:
  • Does the notebook run end-to-end, out of the box?
  • Are errors handled appropriately, with try/except statements that are narrow in scope?
  • Have warnings been dealt with appropriately, preferably by updating the code to avoid them (i.e., not by simply silencing them)?
• Efficiency:
  • Is data accessed from the cloud where possible?
  • Is the code parallelized where possible?
  • If the notebook is intended to be scaled up, does it do that efficiently?
  • Is memory usage optimized where possible?
• Cleanup:
  • Have blocks of code that need to be re-used been turned into functions and placed in the 'global setup'-'function' section?
  • Has unused code been removed (e.g., unused functions and commented-out lines)?
  • Are comment lines wrapped so all fit within a max of 90 - 100 characters per line?
  • Do plots use color-blind friendly palettes for plotting? Try this simulator for a visual check.

[DavidT3]

@karur

Hi Kavitha, I've sent you an invitation to the HEASARC GitHub organization, and when you accept it I will be able to add you as a reviewer on this PR.