comments

utils/sdss_filtering.ipynb

@@ -38,6 +38,13 @@
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
     "\n",
+    "\"\"\"\n",
+    "\n",
+    "Use this code after downloading all SDSS data first, using the file\n",
+    "titled sdss_downloading.\n",
+    "\n",
+    "\"\"\"\n",
+    "\n",
     "def get_all_fits_files(root_dir):\n",
     "    # Use glob to recursively find all .fits files\n",
     "    pattern = os.path.join(root_dir, '**', '*.fits')\n",
@@ -65,6 +72,13 @@
     }
    ],
    "source": [
+    "\"\"\"\n",
+    "Computes a spherical polygon object for each FITS file using WCS coordinates.\n",
+    "Stores each in a list.\n",
+    "\n",
+    "\"\"\"\n",
+    "\n",
+    "\n",
     "# Initialize the list of confirmed FITS paths\n",
     "confirmed_fits_paths = []\n",
     "\n",
@@ -103,6 +117,11 @@
     "latitudes = []\n",
     "longitudes = []\n",
     "\n",
+    "\"\"\"\n",
+    "Get a list of all RA and DEC into a list before filtering.\n",
+    "\n",
+    "\"\"\"\n",
+    "\n",
     "for poly in tqdm(all_polys):\n",
     "    pts = list(poly.to_radec())[0]\n",
     "    ra = pts[0][0]\n",
@@ -186,6 +205,11 @@
     "\n",
     "THRESH = SDSS_FOV * 4\n",
     "\n",
+    "\"\"\"\n",
+    "Initial clustering phase using just RA DEC, not WCS polygon footprints.\n",
+    "\n",
+    "\"\"\"\n",
+    "\n",
     "clustering = AgglomerativeClustering(n_clusters=None, metric='precomputed', linkage='single', distance_threshold=THRESH)\n",
     "labels = clustering.fit_predict(angular_separations_matrix)"
    ]