update text and plots

lsst-uk · Nov 9, 2023 · d4a3510 · d4a3510
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diff --git a/notebooks/SSO_alerts_per_visit/SSO_alerts_per_night.pdf b/notebooks/SSO_alerts_per_visit/SSO_alerts_per_night.pdf
diff --git a/notebooks/SSO_alerts_per_visit/SSO_alerts_per_visit.png b/notebooks/SSO_alerts_per_visit/SSO_alerts_per_visit.png
diff --git a/notebooks/SSO_alerts_per_visit/SSO_alerts_per_visit_hist.png b/notebooks/SSO_alerts_per_visit/SSO_alerts_per_visit_hist.png
diff --git a/notebooks/SSO_alerts_per_visit/alerts_per_night.ipynb b/notebooks/SSO_alerts_per_visit/alerts_per_night.ipynb
@@ -7,9 +7,9 @@
    "source": [
     "# How many SSO alerts can we expect per night of the LSST?\n",
     "\n",
-    "This notebook presents the results of querying the mid point exposure times for all Solar System Object (SSO) diaSources from DP0.3 which is hosted on the Rubin Science Platform (RSP). We use this to calculate the number of SSO alerts we expect LSST to generate per night and per visit.\n",
+    "This notebook presents the results of querying the mid point exposure times for all Solar System Object (SSO) diaSources from DP0.3 which is hosted on the Rubin Science Platform (RSP; https://data.lsst.cloud/). We determined the number of visits per night from the baseline_v3.0 survey simulation (which DP0.3 was built from). We use this to calculate the number of SSO alerts we expect LSST to generate per night and per visit.\n",
     "\n",
-    "These numbers should be compared to the predicted number of alerts for all transients detected by LSST, as presented in DMTN-102 (https://dmtn-102.lsst.io/)"
+    "These numbers should be compared to the predicted number of alerts for all transients detected by LSST, as presented in DMTN-102 (https://dmtn-102.lsst.io/)."
    ]
   },
   {
@@ -778,7 +778,8 @@
     "ax1.set_ylabel(\"mean SSO alerts per visit (per night)\")\n",
     "ax1.legend()\n",
     "\n",
-    "fname = \"SSO_alerts_per_visit.pdf\"\n",
+    "# fname = \"SSO_alerts_per_visit.pdf\"\n",
+    "fname = \"SSO_alerts_per_visit.png\"\n",
     "plt.savefig(fname, facecolor=\"w\", transparent=True, bbox_inches=\"tight\")\n",
     "\n",
     "plt.show()"
@@ -816,7 +817,8 @@
     "ax1.set_xlabel(\"mean SSO alerts per visit (per night)\")\n",
     "ax1.legend()\n",
     "\n",
-    "fname = \"SSO_alerts_per_visit_hist.pdf\"\n",
+    "# fname = \"SSO_alerts_per_visit_hist.pdf\"\n",
+    "fname = \"SSO_alerts_per_visit_hist.png\"\n",
     "plt.savefig(fname, facecolor=\"w\", transparent=True, bbox_inches=\"tight\")\n",
     "\n",
     "plt.show()"