diff --git a/Deblending/lsst_stack_deblender.ipynb b/Deblending/lsst_stack_deblender.ipynb
index 4427f74a..26a2f97b 100755
--- a/Deblending/lsst_stack_deblender.ipynb
+++ b/Deblending/lsst_stack_deblender.ipynb
@@ -4,9 +4,12 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "# LSST Stack Multiband Deblender Tutorial\n",
+ "# Using the LSST Stack Multiband Deblender \n",
+ "
Owner(s): **Fred Moolekamp** ([@fred3m](https://github.com/LSSTScienceCollaborations/StackClub/issues/new?body=@fred3m))\n",
+ "
Last Verified to Run: **2018-08-17**\n",
+ "
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",
@@ -14,7 +17,18 @@
" \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"
]
},
{
diff --git a/Deblending/scarlet_tutorial.ipynb b/Deblending/scarlet_tutorial.ipynb
index 56b500b9..f260f2a0 100755
--- a/Deblending/scarlet_tutorial.ipynb
+++ b/Deblending/scarlet_tutorial.ipynb
@@ -4,11 +4,25 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "# Scarlet deblending Tutorial\n",
+ "# Deblending with *Scarlet*\n",
+ "
Owner(s): **Fred Moolekamp** ([@fred3m](https://github.com/LSSTScienceCollaborations/StackClub/issues/new?body=@fred3m))\n",
+ "
Last Verified to Run: **2018-08-17**\n",
+ "
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": {