Removed the exercise sections

Author: bsipocz

tutorials/euclid_access/1_Euclid_intro_MER_images.md

@@ -410,17 +410,6 @@ for i in range(len(sources_thr)):
     ax.add_artist(e)
 ```
 
-### Optional -- Access the data from the ESA archive website directly
-
-+++
-
-- Go to https://easidr.esac.esa.int/sas/ and sign in with your credentials.
-- Download all Level 2 MER Mosaic
-   data on the bright, high proper motion star HD 168151
-- repeat the steps above with these data
-
-+++
-
 ## About this Notebook
 
 **Author**: Tiffany Meshkat (IPAC Scientist)

tutorials/euclid_access/2_Euclid_intro_MER_catalog.md

@@ -140,100 +140,6 @@ plt.ylim(10,35)
 plt.title('10k Stars in MER catalog -- IRSA')
 ```
 
-## Exercise
-
-+++
-
-### Optional -- Access the data from the ESA archive website directly
-
-+++
-
-#### 1. Download the data from the ESA archive
-
-- Go to https://easidr.esac.esa.int/sas/ and sign in with your credentials.
-- Click Search and then go to theADQL form and enter the following query:
-- NOTE if you have an issue downloading these data from the ESA archive, try again in a few hours. This query should work, but some users reported it sometimes does not work.
-
-```{raw-cell}
-10000 stars (first in the catalog, no particular order)
-
-SELECT TOP 10000 mer.RIGHT_ASCENSION, mer.DECLINATION , mer.FLUX_VIS_PSF,mer.FLUXERR_VIS_PSF, mer.FLUX_Y_TEMPLFIT, mer.FLUXERR_Y_TEMPLFIT, mer.FLUX_J_TEMPLFIT,mer.FLUXERR_J_TEMPLFIT, mer.FLUX_H_TEMPLFIT, mer.FLUXERR_H_TEMPLFIT, mer.FWHM,  mer.object_id
-    FROM catalogue.mer_catalogue AS mer
-    JOIN catalogue.phz_classification AS phz_class
-    ON phz_class.object_id=mer.object_id
-	WHERE phz_class.phz_classification = 1
-		AND mer.FLUX_VIS_PSF >0
-		AND  mer.FLUX_Y_TEMPLFIT >0
-		AND mer.FLUX_J_TEMPLFIT >0
-		AND  mer.FLUX_H_TEMPLFIT >0
-```
-
-This query searches for 10000 stars in VIS in the MER catalog (the first 10000 as they appear in the MER catalog). 
-
-Download the results by clicking the third icon with the down arrow.
-
-Gunzip in the command line:
-
-mv original_cat.vot.gz to mer_cat.vot to remove the .gz extension
-
-You should now have a VOT table.
-
-+++
-
-### Also download another catalog:
-
-```{raw-cell}
-10000 galaxies (first in the catalog, no particular order)
-
-SELECT TOP 10000 mer.RIGHT_ASCENSION, mer.DECLINATION , mer.FLUX_VIS_PSF,mer.FLUXERR_VIS_PSF, mer.FLUX_Y_TEMPLFIT, mer.FLUXERR_Y_TEMPLFIT, mer.FLUX_J_TEMPLFIT,mer.FLUXERR_J_TEMPLFIT, mer.FLUX_H_TEMPLFIT, mer.FLUXERR_H_TEMPLFIT, mer.FWHM,  mer.object_id
-    FROM catalogue.mer_catalogue AS mer
-    JOIN catalogue.phz_classification AS phz_class
-    ON phz_class.object_id=mer.object_id
-	WHERE phz_class.phz_classification = 2
-		AND mer.FLUX_VIS_PSF >0
-		AND  mer.FLUX_Y_TEMPLFIT >0
-		AND mer.FLUX_J_TEMPLFIT >0
-		AND  mer.FLUX_H_TEMPLFIT >0
-```
-
-Perform the same steps to remove the extension and have a VOT table.
-
-+++
-
-#### Below are a few other example queries to provide some example ADQL queries:
-
-```{raw-cell}
-10000 brightest stars
-
-SELECT TOP 10000 mer.RIGHT_ASCENSION, mer.DECLINATION , mer.flux_vis_1fwhm_aper, mer.FLUX_Y_1FWHM_APER, mer.FLUX_J_1FWHM_APER, mer.FLUX_H_1FWHM_APER,
-mer.DEBLENDED_FLAG, mer.BLENDED_PROB, mer.BINARY_FLAG, mer. POINT_LIKE_FLAG, mer.FWHM,  mer.object_id, star.phz_classification
-    FROM catalogue.mer_catalogue AS mer
-    JOIN catalogue.phz_classification AS star
-    ON star.object_id=mer.object_id
-	WHERE star.phz_classification = 1 
-		AND mer.FLUX_Y_1FWHM_APER <> 'NaN'
-		AND  mer.flux_vis_1fwhm_aper <> 'NaN'
-		AND mer.flux_J_1fwhm_aper <> 'NaN'
-		AND  mer.flux_H_1fwhm_aper <> 'NaN'
-	ORDER BY mer.FLUX_VIS_1FWHM_APER DESC
-____________________________
-10000 reddest stars
-
-SELECT TOP 100 mer.RIGHT_ASCENSION, mer.DECLINATION , mer.flux_vis_1fwhm_aper, mer.FLUX_Y_1FWHM_APER, mer.FLUX_J_1FWHM_APER, mer.FLUX_H_1FWHM_APER,
-mer.DEBLENDED_FLAG, mer.BLENDED_PROB, mer.BINARY_FLAG, mer. POINT_LIKE_FLAG, mer.FWHM,  mer.object_id, star.phz_classification, 
-(mer.flux_vis_1fwhm_aper - mer.FLUX_H_1FWHM_APER) AS flux_difference
-    FROM catalogue.mer_catalogue AS mer
-    JOIN catalogue.phz_classification AS star
-    ON star.object_id=mer.object_id
-	WHERE star.phz_classification = 1 
-		AND mer.FLUX_Y_1FWHM_APER <> 'NaN'
-		AND  mer.flux_vis_1fwhm_aper <> 'NaN'
-		AND mer.flux_J_1fwhm_aper <> 'NaN'
-		AND  mer.flux_H_1fwhm_aper <> 'NaN'
-	ORDER BY flux_difference DESC
-____________________________
-```
-
 ## About this Notebook
 
 **Author**: Tiffany Meshkat (IPAC Scientist)

tutorials/euclid_access/3_Euclid_intro_1D_spectra.md

@@ -163,36 +163,6 @@ plt.ylabel('Flux'+dat['SIGNAL'].unit.to_string('latex_inline'))
 plt.title(obj_id)
 ```
 
-## Exercise
-
-+++
-
-### Optional -- Access the data from the ESA archive website directly
-
-+++
-
-#### 1. Download the data from the ESA archive
-
-- Go to https://easidr.esac.esa.int/sas/ and sign in with your credentials.
-- Go to the ADQL form and do the following search:
-
-```{raw-cell}
-SELECT TOP 10 spec.source_id 
-FROM sedm.spectra_source as spec
-JOIN catalogue.phz_classification AS phz_class
-ON phz_class.object_id=spec.source_id
-WHERE phz_class.phz_classification = 2
-```
-
-- This shows the first 10 sources with spectra in the list.
-- Click the link/chain
-- Make sure "source_id" is selected under "IDs columns"
-- Click "show data" then click the download button next to "Spectra -- source_id"
-
-NOTE: You need to unzip the file to get a fits file with the combined spectra. On a mac you can do this by just double clicking the file to unzip.
-
-+++
-
 ## About this Notebook
 
 **Author**: Tiffany Meshkat (IPAC Scientist)