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Browse files- utils/sdss_filtering.ipynb +24 -0
utils/sdss_filtering.ipynb
CHANGED
@@ -38,6 +38,13 @@
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"import matplotlib.pyplot as plt\n",
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"import numpy as np\n",
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"\n",
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"def get_all_fits_files(root_dir):\n",
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" # Use glob to recursively find all .fits files\n",
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" pattern = os.path.join(root_dir, '**', '*.fits')\n",
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@@ -65,6 +72,13 @@
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}
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],
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"source": [
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"# Initialize the list of confirmed FITS paths\n",
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"confirmed_fits_paths = []\n",
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"\n",
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@@ -103,6 +117,11 @@
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"latitudes = []\n",
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"longitudes = []\n",
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"\n",
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"for poly in tqdm(all_polys):\n",
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" pts = list(poly.to_radec())[0]\n",
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" ra = pts[0][0]\n",
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@@ -186,6 +205,11 @@
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"\n",
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"THRESH = SDSS_FOV * 4\n",
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"\n",
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"clustering = AgglomerativeClustering(n_clusters=None, metric='precomputed', linkage='single', distance_threshold=THRESH)\n",
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"labels = clustering.fit_predict(angular_separations_matrix)"
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]
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"import matplotlib.pyplot as plt\n",
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"import numpy as np\n",
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"\n",
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"\"\"\"\n",
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"\n",
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"Use this code after downloading all SDSS data first, using the file\n",
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"titled sdss_downloading.\n",
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"\n",
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"\"\"\"\n",
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"\n",
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"def get_all_fits_files(root_dir):\n",
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" # Use glob to recursively find all .fits files\n",
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" pattern = os.path.join(root_dir, '**', '*.fits')\n",
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}
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],
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"source": [
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"\"\"\"\n",
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"Computes a spherical polygon object for each FITS file using WCS coordinates.\n",
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"Stores each in a list.\n",
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"\n",
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"\"\"\"\n",
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"\n",
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"\n",
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"# Initialize the list of confirmed FITS paths\n",
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"confirmed_fits_paths = []\n",
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"\n",
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"latitudes = []\n",
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"longitudes = []\n",
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"\n",
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"\"\"\"\n",
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"Get a list of all RA and DEC into a list before filtering.\n",
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"\n",
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"\"\"\"\n",
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"\n",
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"for poly in tqdm(all_polys):\n",
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" pts = list(poly.to_radec())[0]\n",
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" ra = pts[0][0]\n",
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"\n",
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"THRESH = SDSS_FOV * 4\n",
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"\n",
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"\"\"\"\n",
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"Initial clustering phase using just RA DEC, not WCS polygon footprints.\n",
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"\n",
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"\"\"\"\n",
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"\n",
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"clustering = AgglomerativeClustering(n_clusters=None, metric='precomputed', linkage='single', distance_threshold=THRESH)\n",
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"labels = clustering.fit_predict(angular_separations_matrix)"
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]
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