Add a tag "hide-cell" to developer notes metadata

spacetelescope · Dec 15, 2023 · a4d36db · a4d36db
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diff --git a/notebooks/ifu_optimal/ifu_optimal.ipynb b/notebooks/ifu_optimal/ifu_optimal.ipynb
@@ -2,7 +2,15 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": [
+     "hide-cell"
+    ]
+   },
    "source": [
     "# NIRSpec IFU Optimal Point Source Extraction"
    ]
@@ -310,7 +318,15 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": [
+     "hide-cell"
+    ]
+   },
    "source": [
     "*Developer Note:* The units of the Cubeviz \"Sum\" collapse method (and all other spectra below) need to be multiplied by the pixel area in sr to yield flux units (MJy) instead of surface brightness units (MJy/sr)."
    ]
@@ -385,7 +401,15 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": [
+     "hide-cell"
+    ]
+   },
    "source": [
     "*Developer Note:*  Is there a way to retrieve the coordinates (RA, Dec) of the Subset1 region, for use in a SkyCircularAperture?"
    ]
@@ -510,7 +534,13 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "BoxPath = \"https://data.science.stsci.edu/redirect/JWST/jwst-data_analysis_tools/IFU_optimal_extraction/\"\n",
@@ -538,7 +568,15 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": [
+     "hide-cell"
+    ]
+   },
    "source": [
     "*Developer Note:*  The file Webbpsf_ifucube.fits is large (946.3 MB) and takes some time to load from Box.\n",
     "It might behoove the user to download it to a local directory and retrieve it from there."
@@ -559,7 +597,13 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "# Flip model PSF left-right to match data.\n",

diff --git a/notebooks/mos_spectroscopy_advanced/MOSspec_advanced.ipynb b/notebooks/mos_spectroscopy_advanced/MOSspec_advanced.ipynb
@@ -2,7 +2,13 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "# MOS Spectroscopy of Extragalactic Field\n",
     "\n",
@@ -169,7 +175,15 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": [
+     "hide-cell"
+    ]
+   },
    "source": [
     "**Developer note**:<br>\n",
     "The download of JWST data could happen directly from MAST, but the observations are organized in separate folders, while Mosviz wants the data in a single folder. So we go with a box download."
@@ -261,7 +275,15 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": [
+     "hide-cell"
+    ]
+   },
    "source": [
     "**Developer note**<br>\n",
     "Is there a way to get out an uncertainty array from the extraction?<br>\n",
@@ -497,7 +519,15 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": [
+     "hide-cell"
+    ]
+   },
    "source": [
     "**Developer note**<br>\n",
     "The line list plugin cannot yet be accessed by the notebook. I can do it in the GUI though."
@@ -873,7 +903,13 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "plt.figure(figsize=[10, 6])\n",
@@ -907,11 +943,30 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "## Find the best-fitting template\n",
-    "It needs a list of templates and the redshift of the observed galaxy. For the templates, I am using a set of model SEDs generated with Bruzual & Charlot stellar population models, emission lines, and dust attenuation as described in Pacifici et al. (2012).\n",
-    "\n",
+    "It needs a list of templates and the redshift of the observed galaxy. For the templates, I am using a set of model SEDs generated with Bruzual & Charlot stellar population models, emission lines, and dust attenuation as described in Pacifici et al. (2012)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": [
+     "hide-cell"
+    ]
+   },
+   "source": [
     "**Developer note**<br>\n",
     "Maybe there is a way to speed this up (maybe using astropy model_sets)? This fit is run with 100 models, but ideally, if we want to extract physical parameters from this, we would need at least 10,000 models. A dictionary structure with meaningful keys (which can be, e.g., tuples of the relevant physical parameters) could be better than a list? It could make later analysis much clearer than having to map from the list indices back to the relevant parameters."
    ]
@@ -1069,7 +1124,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.11.6"
   }
  },
  "nbformat": 4,