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)"
  ]