Standard nb headers in deblending notebooks

Deblending/lsst_stack_deblender.ipynb

@@ -4,17 +4,31 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# LSST Stack Multiband Deblender Tutorial\n",
+    "# Using the LSST Stack Multiband Deblender \n",
+    "<br>Owner(s): **Fred Moolekamp** ([@fred3m](https://github.com/LSSTScienceCollaborations/StackClub/issues/new?body=@fred3m))\n",
+    "<br>Last Verified to Run: **2018-08-17**\n",
+    "<br>Verified Stack Release: **16.0**\n",
     "\n",
-    "This tutorial is designed to illustrate how to execture the multiband deblender (*scarlet*) in the LSST stack. This includes a brief introduction to LSST stack objects including:\n",
+    "This tutorial is designed to illustrate how to execute the multiband deblender (*scarlet*) in the LSST stack. This includes a brief introduction to LSST stack objects including:\n",
     "\n",
     " - Geometry classes from `lsst.geom`, such as points and boxes.\n",
     " - Higher-level astronomical primitives from `lsst.afw`, such as the `Image`, `Exposure`, and `Psf` classes.\n",
     " - Our core algorithmic `Task` classes, including those for source detection, deblending, and measurement.\n",
     " \n",
     "We'll be working with coadded images made from Subaru Hyper Suprime-Cam (HSC) data in the COSMOS field.  We've taken a recent LSST reprocessing of the HSC-SSP UltraDeep COSMOS field (see [this page](https://confluence.lsstcorp.org/display/DM/S18+HSC+PDR1+reprocessing) for information on that reprocessing, and [this page](https://hsc-release.mtk.nao.ac.jp/doc/) for the data), and added simulated stars from a scaled [SDSS catalog](http://www.sdss.org/dr14/data_access/value-added-catalogs/?vac_id=photometry-of-crowded-fields-in-sdss-for-galactic-globular-and-open-clusters).  The result is a very deep image (deeper than the 10-year LSST Deep-Wide-Fast survey, though not as deep as LSST Deep Drilling fields will be) with both a large number of galaxies and region full of stars.\n",
     "\n",
-    "This tutorial is based on Jim Bosch's globular cluster tutorial, however in it's present state *scarlet* is unable to process the crowded field (most likely) due to poor initial conditions for the sources in the field. So instead we use a region of the image outside of the cluster."
+    "This tutorial is based on Jim Bosch's globular cluster tutorial, however in it's present state *scarlet* is unable to process the crowded field (most likely) due to poor initial conditions for the sources in the field. So instead we use a region of the image outside of the cluster.\n",
+    "\n",
+    "### Learning Objectives:\n",
+    "\n",
+    "After working through this tutorial you should be able to: \n",
+    "1. Configure and run the LSST multiband deblender on a test list of objects;\n",
+    "2. Understand its task context in the DRP pipeline.\n",
+    "\n",
+    "### Logistics\n",
+    "This notebook is intended to be runnable on `lsst-lspdev.ncsa.illinois.edu` from a local git clone of https://github.com/LSSTScienceCollaborations/StackClub.\n",
+    "\n",
+    "## Set-up"
    ]
   },
   {

Deblending/scarlet_tutorial.ipynb

@@ -4,11 +4,25 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Scarlet deblending Tutorial\n",
+    "# Deblending with *Scarlet*\n",
+    "<br>Owner(s): **Fred Moolekamp** ([@fred3m](https://github.com/LSSTScienceCollaborations/StackClub/issues/new?body=@fred3m))\n",
+    "<br>Last Verified to Run: **2018-08-17**\n",
+    "<br>Verified Stack Release: **16.0**\n",
     "\n",
-    "The purpose of this tutorial is to familiarize the user with the basics of using *scarlet* to model blended scenes, and how tweaking various objects and parameters affects the resulting model. A tutorial that is more specific to using scarlet in the context of the LSST DM Science Pipelines is also available.\n",
+    "The purpose of this tutorial is to familiarize you with the basics of using *scarlet* to model blended scenes, and how tweaking various objects and parameters affects the resulting model. A tutorial that is more specific to using scarlet in the context of the LSST DM Science Pipelines is also available.\n",
     "\n",
-    "Before attempting this tutorial it will be useful to read the [introduction](http://scarlet.readthedocs.io/en/latest/user_docs.html) to the *scarlet* User Guide, and many of the exercises below may require referencing the *scarlet* [docs](http://scarlet.readthedocs.io/en/latest/index.html)."
+    "### Learning Objectives:\n",
+    "\n",
+    "After working through this tutorial you should be able to: \n",
+    "1. Configure and run _scarlet_ on a test list of objects;\n",
+    "2. Understand its various model assumptions and applied constraints.\n",
+    "\n",
+    "Before attempting this tutorial it will be useful to read the [introduction](http://scarlet.readthedocs.io/en/latest/user_docs.html) to the *scarlet* User Guide, and many of the exercises below may require referencing the *scarlet* [docs](http://scarlet.readthedocs.io/en/latest/index.html).\n",
+    "\n",
+    "### Logistics\n",
+    "This notebook is intended to be runnable on `lsst-lspdev.ncsa.illinois.edu` from a local git clone of https://github.com/LSSTScienceCollaborations/StackClub.\n",
+    "\n",
+    "## Set-up"
    ]
   },
   {
@@ -448,9 +462,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "LSST",
    "language": "python",
-   "name": "python3"
+   "name": "lsst"
   },
   "language_info": {
    "codemirror_mode": {