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tutorials/cloud_access/euclid-cloud-access.md

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If you picked a target other than what this notebook uses, it's possible that there is no spectrum associated for your target's object ID. In that case, `spec_association_tbl` will contain 0 rows.
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```
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In above table, we can see that the `path` column gives us a url that can be used to call the SpectrumDM service to get the spectrum of our object. We can map it to an S3 bucket key to retrieve a spectra file from the cloud. This is a very big FITS spectra file with multiple extensions where each extension contains spectrum of one object. The `hdu` column gives us the extension number for our object. So let's extract both of these.
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In above table, we can see that the `'path'` column gives us a url that can be used to call an IRSA service to get the spectrum of our object. We can map it to an S3 bucket key to retrieve a spectra file from the cloud. This is a very big FITS spectra file with multiple extensions where each extension contains spectrum of one object. The `'hdu'` column gives us the extension number for our object. So let's extract both of these.
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```{code-cell} ipython3
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spec_fpath_key = spec_association_tbl['path'][0].replace('api/spectrumdm/convert/euclid/', '').split('?')[0]

tutorials/euclid_access/3_Euclid_intro_1D_spectra.md

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The 1D combined spectra table contains 6 columns, below are a few highlights:
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- WAVELENGTH is in Angstroms by default.
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- SIGNAL is the flux. The scale factor is included in the units.
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- SIGNAL is the flux. The values are scaled and the scaling factor is included in the column's units. This value corresponds to the `'FSCALE'` entry in the HDU header of the original FITS file.
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- MASK values can be used to determine which flux bins to discard. MASK = odd and MASK >=64 means the flux bins not be used.
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```
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