checking extragalatic and object cat tutorials are running

LSSTDESC · Feb 23, 2024 · e7a21f2 · e7a21f2
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diff --git a/tutorials/extragalactic_gcr_cluster_colors.ipynb b/tutorials/extragalactic_gcr_cluster_colors.ipynb
@@ -8,7 +8,7 @@
     "\n",
     "Owners: **Dan Korytov [@dkorytov](https://github.com/LSSTDESC/DC2-analysis/issues/new?body=@dkorytov)**\n",
     "\n",
-    "Last verified run: Nov 30, 2018 (by @yymao)\n",
+    "Last verified run: Feb 23, 2024 (by @heather999)\n",
     "\n",
     "This notebook demonstrates how to access the extra galactic catalog through the Generic Catalog Reader (GCR, https://github.com/yymao/generic-catalog-reader) as well as how filter on galaxy features and cluster membership.\n",
     "\n",
@@ -21,13 +21,15 @@
     "3. Select and plot cluster members\n",
     "\n",
     "\n",
-    "__Logistics__: This notebook is intended to be run through the JupyterHub NERSC interface available here: https://jupyter-dev.nersc.gov. To setup your NERSC environment, please follow the instructions available here: https://confluence.slac.stanford.edu/display/LSSTDESC/Using+Jupyter-dev+at+NERSC"
+    "__Logistics__: This notebook is intended to be run through the JupyterHub NERSC interface available here: https://jupyter.nersc.gov. To setup your NERSC environment, please follow the instructions available here: https://confluence.slac.stanford.edu/display/LSSTDESC/Using+Jupyter+at+NERSC"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "import GCRCatalogs\n",
@@ -40,7 +42,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "gc = GCRCatalogs.load_catalog('cosmoDC2_v1.1.4_small')"
@@ -49,7 +53,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "data = gc.get_quantities(['halo_mass', 'redshift',\n",
@@ -73,7 +79,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "plt.figure()\n",
@@ -95,7 +103,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "plt.figure()\n",
@@ -124,6 +134,13 @@
    "source": [
     "After load the catalog and data, we are able to plot the color distribution as a function of redshift for cluster galaxies with very little effort!"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -142,9 +159,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.6"
+   "version": "3.10.13"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
diff --git a/tutorials/extragalactic_gcr_cluster_members.ipynb b/tutorials/extragalactic_gcr_cluster_members.ipynb
@@ -10,7 +10,7 @@
     "\n",
     "Owners: **Dan Korytov [@dkorytov](https://github.com/LSSTDESC/DC2-analysis/issues/new?body=@dkorytov)**, **Patricia Larsen**\n",
     "\n",
-    "Last verified run: **Nov 30, 2018** by @yymao\n",
+    "Last verified run: **Feb 23, 2024** by @heather999\n",
     "\n",
     "This notebook demonstrates how to access the extra galactic catalog through the Generic Catalog Reader (GCR, https://github.com/yymao/generic-catalog-reader) as well as how filter on galaxy features and cluster membership.\n",
     "\n",
@@ -24,13 +24,15 @@
     "4. Plotting galaxy clustermembers positions on the sky as well as their comoving position in space.\n",
     "\n",
     "\n",
-    "__Logistics__: This notebook is intended to be run through the JupyterHub NERSC interface available here: https://jupyter-dev.nersc.gov. To setup your NERSC environment, please follow the instructions available here: https://confluence.slac.stanford.edu/display/LSSTDESC/Using+Jupyter-dev+at+NERSC"
+    "__Logistics__: This notebook is intended to be run through the JupyterHub NERSC interface available here: https://jupyter.nersc.gov. To setup your NERSC environment, please follow the instructions available here: https://confluence.slac.stanford.edu/display/LSSTDESC/Using+Jupyter+at+NERSC"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "import GCRCatalogs\n",
@@ -57,7 +59,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "gc = GCRCatalogs.load_catalog('cosmoDC2_v1.1.4_small')"
@@ -66,7 +70,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "galaxy_data = gc.get_quantities(['ra', 'dec', 'mag_r', 'halo_id'], filters=['mag_r < 19'])\n",
@@ -89,7 +95,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "cluster_data = Table(cluster_data)\n",
@@ -126,7 +134,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "galaxy_data = gc.get_quantities(['ra', 'dec', 'mag_r', 'halo_id', 'position_x', 'position_y', 'velocity_x', 'velocity_y'], filters=['mag_r < 19'])\n",
@@ -137,7 +147,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "cluster_data = Table(cluster_data)\n",
@@ -161,6 +173,13 @@
     "    plt.colorbar(label='km/s')\n",
     "plt.show()"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -179,9 +198,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.6"
+   "version": "3.10.13"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
diff --git a/tutorials/extragalactic_gcr_mass_relations.ipynb b/tutorials/extragalactic_gcr_mass_relations.ipynb
@@ -6,7 +6,7 @@
    "source": [
     "# Extragalactic catalogs: mass relations\n",
     "\n",
-    "> Notebook owner: Yao-Yuan Mao [@yymao](https://github.com/LSSTDESC/DC2-analysis/issues/new?body=@yymao). Last run: Nov 30, 2018\n",
+    "> Notebook owner: Yao-Yuan Mao [@yymao](https://github.com/LSSTDESC/DC2-analysis/issues/new?body=@yymao). Last run: Feb 23, 2024\n",
     "\n",
     "In this notebook we demostrate how to plot the halo mass-stellar mass relation and also the BH mass-bulge mass relation for the protoDC2/cosmoDC2 galaxy catalog.\n",
     "\n",
@@ -19,7 +19,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "import GCRCatalogs"
@@ -28,7 +30,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "import numpy as np\n",
@@ -39,7 +43,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "gc = GCRCatalogs.load_catalog('cosmoDC2_v1.1.4_small')"
@@ -48,7 +54,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "# let's see what masses are availble \n",
@@ -65,7 +73,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "data = gc.get_quantities(['stellar_mass', 'halo_mass'], filters=['redshift < 0.2', 'is_central'])\n",
@@ -86,7 +96,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "data = gc.get_quantities(['stellar_mass', 'halo_mass'], filters=['redshift > 0.9', 'redshift < 1', 'is_central'])\n",
@@ -107,7 +119,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "data = gc.get_quantities(['stellar_mass_bulge', 'blackHoleMass'], filters=['redshift < 0.2', 'is_central'])\n",
@@ -116,6 +130,13 @@
     "plt.xlabel(r'$\\log \\, {\\rm M}_{\\rm bulge} \\, / \\, {\\rm M}_\\odot$');\n",
     "plt.ylabel(r'$\\log \\, {\\rm M}_{\\rm BH} \\, / \\, {\\rm M}_\\odot$');"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -134,9 +155,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.6"
+   "version": "3.10.13"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }