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TODO: Update the following from here into astroquery notebook examples...
- Python scripts
| Code | Comment | Done? |
|---|---|---|
| lhatpro.py | This would be good to completely translate into a notebook… Would have to use Eso.query_tap_service() for this. | Done. Moved into 06_query_tap.ipynb with nice plotting example. |
| eso_authenticated_download_raw_and_calibs.py | Would be good to take out the calibration cascade via DataLink/CALSELECTOR. I think I need Alberto to understand what this is actually doing… and why this isn’t working for the HAWKI dataset, as it would be nice to have an end-to-end workflow from products to calibration… | |
| eso_raw.py | - | Not needed, already done. |
| eso_ssa.py | Why is this using the SSA? Is there any reason to use this instead of what we have in astroquery? Good to keep… | Done. Now folded into 06_ssa_query_and_download.ipynb |
- Jupyter notebooks
| Code | Comment | Comment |
|---|---|---|
| Authentication & Authorisation | Same as above… | - |
| How to query for reduced data | Maybe a interesting plot that could be transferred over to my script - a bar chart for the dataproduct_type - also many additional useful queries that could be implemented in TAP | Cool - now need to thing about how to do this for RAW data, and also if to do for both position and project ID searches… |
| How to download data | - | Not needed, already done. |
| How to search for ancillary files | Good example - would be good to include… | - |
| How to query the meteo Paranal table | Nice plot… | Done -> 08_meteo_paranal_simple_query.ipynb |
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