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Fix up queries to be compatible with older pyvo
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tutorials/cosmos/sia_v1_cosmos.md

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@@ -96,9 +96,9 @@ pos = SkyCoord(ra=ra, dec=dec, unit='deg')
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## 2. Discover COSMOS images
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```{code-cell} ipython3
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# Search the Virtual Observatory Registry for image services at IRSA associated with the COSMOS survey.
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# Search the Virtual Observatory Registry for SIAv1 image services at IRSA associated with the COSMOS survey.
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image_services = regsearch(
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servicetype='sia1',
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servicetype='sia',
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keywords=['cosmos', 'irsa']
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)
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@@ -107,16 +107,16 @@ for i, r in enumerate(image_services):
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print(f"{i:2d} {r.short_name:20s} {r.res_title}")
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# Turn the result into a usable image access service
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resource = image_services[0]
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cosmos_service = resource.get_service("sia1")
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resource = image_services[0]
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cosmos_service = resource.get_service("sia")
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```
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## 3. Search for images
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Which images in the COSMOS dataset include our target of interest?
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```{code-cell} ipython3
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# Get a table of all images that cover this position.
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# Choose the size of the returned image.
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# Choose the size of the returned image.
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im_results = cosmos_service.search(pos=pos, size=150*u.arcsec)
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# Convert the PyVO result to an Astropy Table
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# Use Astropy to examine the header of the URL from the previous step,
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# and grab the data and wcs from the header.
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with fits.open(image_url, memmap=False) as hdul:
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hdul.info()
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hdul.info()
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data = hdul[0].data
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wcs = WCS(hdul[0].header)
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```
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```{code-cell} ipython3

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