Merge pull request #112 from tmesh/Meshkat_jun20_new

ENH: adding explanations for the Euclid calibration frames

Author: bsipocz

tutorials/euclid_access/1_Euclid_intro_MER_images.md

@@ -4,7 +4,7 @@ jupytext:
     extension: .md
     format_name: myst
     format_version: 0.13
-    jupytext_version: 1.16.7
+    jupytext_version: 1.17.2
 kernelspec:
   display_name: Python 3 (ipykernel)
   language: python
@@ -101,6 +101,17 @@ The IRSA SIA collections can be listed using using the ``list_collections`` meth
     Irsa.list_collections(filter='euclid')
 ```
 
+There are currently four collections available:
+
+* `'euclid_ero'` -- the Early Release Observations, for more information see [Euclid ERO documentation at IRSA](https://irsa.ipac.caltech.edu/data/Euclid/docs/overview_ero.html).
+* `'euclid_DpdMerBksMosaic'` -- This is the collection of interest for us in this notebook, it contains all the Q1 MER mosaic data. For more information on MER mosaics, see the "Introduction" above.
+* `'euclid_DpdVisCalibratedQuadFrame'` -- This collection contains the VIS instrument Calibrated images. Please note these data are not stacked, so there are four dither positions for every observation ID and two calibration frames.
+* `'euclid_DpdNirCalibratedFrame'` -- This collection contains the NIR instrument Calibrated images. Please note these data are not stacked, so there are four dither positions for every observation ID.
+
+For more information on the VIS and NIR calibrated frames, please read the [IRSA User Guide](https://irsa.ipac.caltech.edu/data/Euclid/docs/euclid_archive_at_irsa_user_guide.pdf)
+
+In this notebook, we will focus on downloading and visualizing the MER mosaic data.
+
 ```{code-cell} ipython3
 image_table = Irsa.query_sia(pos=(coord, search_radius), collection='euclid_DpdMerBksMosaic')
 ```