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TMP: temporarily comment out list_collection calls #114

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Jul 2, 2025
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TMP: temporarily comment out list_collection calls #114

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12 changes: 6 additions & 6 deletions tutorials/cloud_access/euclid-cloud-access.md
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Original file line number Diff line number Diff line change
Expand Up @@ -115,12 +115,12 @@ coord = SkyCoord.from_name(target_name)
search_radius = 10 * u.arcsec
```

List all Simple Image Access (SIA) collections for IRSA with names containing "euclid":

```{code-cell} ipython3
collections = Irsa.list_collections(servicetype='SIA', filter='euclid')
collections
```
% List all Simple Image Access (SIA) collections for IRSA with names containing "euclid":
%
% ```{code-cell} ipython3
% collections = Irsa.list_collections(servicetype='SIA', filter='euclid')
% collections
% ```

As per "Data Products Overview" in [user guide](https://irsa.ipac.caltech.edu/data/Euclid/docs/euclid_archive_at_irsa_user_guide.pdf) and above table, we identify that MER Mosiacs are available as the following collection:

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8 changes: 4 additions & 4 deletions tutorials/euclid_access/Euclid_ERO.md
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Expand Up @@ -157,10 +157,10 @@ Note that the Euclid ERO images are no in the cloud currently, but we access the
The following only works for combined images (either extended or point source stacks). This would not work if there are multiple, let's say, H-band images of Euclid at a given position. Therefore, no time domain studies here (which is anyway not one of the main goals of Euclid).
```

The IRSA SIA products can be listed via
```
Irsa.list_collections(servicetype='SIA')
```
% The IRSA SIA products can be listed via
% ```
% Irsa.list_collections(servicetype='SIA')
% ```

Here we use the collection *euclid_ero*, containing the Euclid ERO images. We first create a `SkyCoord` object and then query the SIA.

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