MOST notebook

[jonesmg]

I added the new MOST notebook and included it in the toc.yml.

I decided to put this under the techniques and tools section as MOST can be used with various dataset, even though the tutorial is mostly WISE-based.

[bsipocz]

The char.add complain with numpy 1.24 seems to be legitime, here is the traceback. The other failure should be fixed with the suggestion (though I'm puzzled how/why it's passing for the rest of the jobs)

---------------------------------------------------------------------------
UFuncTypeError                            Traceback (most recent call last)
Cell In[1], line 8
      5 ordered_metadata.sort(['mjd_obs','band'])
      7 #Construct the image IDs to relate rows to those in the results table
----> 8 ordered_metadata['Image_ID'] = np.char.add(np.char.add(ordered_metadata['scan_id']+'_',
      9                                                        np.array(ordered_metadata['frame_num'],dtype='str')+'_'),
     10                                            np.array(ordered_metadata['band'],dtype='str'))
     12 #Duplicate results table and index by image ID
     13 indexed_results = most_output['results']

UFuncTypeError: ufunc 'add' did not contain a loop with signature matching types (dtype('<U6'), dtype('<U1')) -> None

[jonesmg]

@bsipocz I think this should run correctly now, but let me know if there is anything else I should tweak/fix.

[jonesmg]

@bsipocz @troyraen Looks like I finally managed to thread the needle and it passes the tests.

[troyraen]

Thanks @jonesmg! Will you update the author list to include only the individuals who directly contributed to the notebook? I think that's probably you, Tim, and maybe Brigitta, but you'll know best. Our (relatively new) guidelines are here: How to Contribute a New Notebook: Author List.

Other than that, I think it's ready to go!

I ran this on Fornax and it went well, though I did run into a timeout error on hdul = fits.open(img_access_url). When we run into this repeatedly, we typically handle it by increasing astropy's timeout limit. I suggested the code below. AFAIK, this is the first time we've hit a timeout in this notebook, so you don't necessarily need to increase the limit now.

[troyraen]

Thanks @jonesmg! Merging now. Then I'll do a quick follow-up PR to standardize some minor formatting and finish the deployment. It should show up here a little later today: https://caltech-ipac.github.io/irsa-tutorials/techniques/