diff --git a/dmu1/dmu1_ml_XMM-LSS/2.6_Merging_low_memory.ipynb b/dmu1/dmu1_ml_XMM-LSS/2.6_Merging_low_memory.ipynb index e650c85a..b5edb70e 100644 --- a/dmu1/dmu1_ml_XMM-LSS/2.6_Merging_low_memory.ipynb +++ b/dmu1/dmu1_ml_XMM-LSS/2.6_Merging_low_memory.ipynb @@ -11,18 +11,9 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This notebook was run with herschelhelp_internal version: \n", - "33f5ec7 (Wed Dec 6 16:56:17 2017 +0000) [with local modifications]\n" - ] - } - ], + "outputs": [], "source": [ "from herschelhelp_internal import git_version\n", "print(\"This notebook was run with herschelhelp_internal version: \\n{}\".format(git_version()))" @@ -30,18 +21,9 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/rs548/anaconda/envs/herschelhelp_internal/lib/python3.6/site-packages/seaborn/apionly.py:6: UserWarning: As seaborn no longer sets a default style on import, the seaborn.apionly module is deprecated. It will be removed in a future version.\n", - " warnings.warn(msg, UserWarning)\n" - ] - } - ], + "outputs": [], "source": [ "%matplotlib inline\n", "#%config InlineBackend.figure_format = 'svg'\n", @@ -64,7 +46,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": { "collapsed": true }, @@ -89,7 +71,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": { "collapsed": true }, @@ -270,7 +252,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": { "collapsed": true }, @@ -290,17 +272,9 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "HELP Warning: There weren't any cross matches. The two surveys probably don't overlap.\n" - ] - } - ], + "outputs": [], "source": [ "nb_merge_dist_plot(\n", " SkyCoord(master_catalogue['ra'], master_catalogue['dec']),\n", @@ -310,7 +284,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": { "collapsed": true }, @@ -329,17 +303,9 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "HELP Warning: There weren't any cross matches. The two surveys probably don't overlap.\n" - ] - } - ], + "outputs": [], "source": [ "nb_merge_dist_plot(\n", " SkyCoord(master_catalogue['ra'], master_catalogue['dec']),\n", @@ -356,7 +322,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": { "collapsed": true }, @@ -367,20 +333,9 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: MergeConflictWarning: Cannot merge meta key 'EXTNAME' types and , choosing EXTNAME='/Users/rs548/GitHub/dmu_products/dmu1/dmu1_ml_XMM-LSS/data_tmp/CF...' [astropy.utils.metadata]\n", - "WARNING: MergeConflictWarning: Cannot merge meta key 'DATE-HDU' types and , choosing DATE-HDU='2017-12-04T16:58:48' [astropy.utils.metadata]\n", - "WARNING: MergeConflictWarning: Cannot merge meta key 'EXTNAME' types and , choosing EXTNAME='/Users/rs548/GitHub/dmu_products/dmu1/dmu1_ml_XMM-LSS/data_tmp/CF...' [astropy.utils.metadata]\n", - "WARNING: MergeConflictWarning: Cannot merge meta key 'DATE-HDU' types and , choosing DATE-HDU='2017-12-04T16:58:48' [astropy.utils.metadata]\n" - ] - } - ], + "outputs": [], "source": [ "# Given the graph above, we use 0.8 arc-second radius\n", "master_catalogue = merge_catalogues(master_catalogue, cfht_wirds, \"wirds_ra\", \"wirds_dec\", radius=0.8*u.arcsec)" @@ -395,20 +350,9 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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oUL51Sh7bq1vZXq2prf6alJPAuvJGtu4/yMTsBLfjiEM0YiUiIsfFWsvS7TU8s7aCnMQo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\nm8dWlfHoqr0EBxlumJvPoum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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "nb_merge_dist_plot(\n", " SkyCoord(master_catalogue['ra'], master_catalogue['dec']),\n", @@ -418,20 +362,9 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: MergeConflictWarning: Cannot merge meta key 'EXTNAME' types and , choosing EXTNAME='/Users/rs548/GitHub/dmu_products/dmu1/dmu1_ml_XMM-LSS/data_tmp/Sp...' [astropy.utils.metadata]\n", - "WARNING: MergeConflictWarning: Cannot merge meta key 'DATE-HDU' types and , choosing DATE-HDU='2017-11-01T10:29:56' [astropy.utils.metadata]\n", - "WARNING: MergeConflictWarning: Cannot merge meta key 'EXTNAME' types and , choosing EXTNAME='/Users/rs548/GitHub/dmu_products/dmu1/dmu1_ml_XMM-LSS/data_tmp/Sp...' [astropy.utils.metadata]\n", - "WARNING: MergeConflictWarning: Cannot merge meta key 'DATE-HDU' types and , choosing DATE-HDU='2017-11-01T10:29:56' [astropy.utils.metadata]\n" - ] - } - ], + "outputs": [], "source": [ "# Given the graph above, we use 0.8 arc-second radius\n", "master_catalogue = merge_catalogues(master_catalogue, \n", @@ -450,20 +383,9 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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L93Jq3hjmj08asccJDfGwZGIqpQ2dugRaZIStLWviol+8z7qyZn58xQx+dd0cEqL9a18q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\nw4ubq6lp1fOTL1Kx8kFer+X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bD/x26L+uqW/v5aUt1exv7KK0oZP9jZ1UNncz4D04QpeV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\nTkSuQmCC\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "nb_merge_dist_plot(\n", " SkyCoord(master_catalogue['ra'], master_catalogue['dec']),\n", @@ -473,20 +395,9 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: MergeConflictWarning: Cannot merge meta key 'EXTNAME' types and , choosing EXTNAME='/Users/rs548/GitHub/dmu_products/dmu1/dmu1_ml_XMM-LSS/data_tmp/HS...' [astropy.utils.metadata]\n", - "WARNING: MergeConflictWarning: Cannot merge meta key 'DATE-HDU' types and , choosing DATE-HDU='2017-10-27T11:26:18' [astropy.utils.metadata]\n", - "WARNING: MergeConflictWarning: Cannot merge meta key 'EXTNAME' types and , choosing EXTNAME='/Users/rs548/GitHub/dmu_products/dmu1/dmu1_ml_XMM-LSS/data_tmp/HS...' [astropy.utils.metadata]\n", - "WARNING: MergeConflictWarning: Cannot merge meta key 'DATE-HDU' types and , choosing DATE-HDU='2017-10-27T11:26:18' [astropy.utils.metadata]\n" - ] - } - ], + "outputs": [], "source": [ "# Given the graph above, we use 0.8 arc-second radius\n", "master_catalogue = merge_catalogues(master_catalogue, hsc, \"hsc_ra\", \"hsc_dec\", radius=0.8*u.arcsec)\n" @@ -501,20 +412,9 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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XNzF7eDrP3juDtPgot2MFjMyEaMbmJrJiXyOdPdqNXY4JdzuAiIgEjmdXHgDAby2vb65m\n+d5GJhYkc/mYTF7ZcMjldIHn4pGZbD3UworyRi4elel2HAkAGrGSc+L1+Wlo7cJanfQuEmq8Pj8v\nrDnI8r2NzB6WxvVT8gn36J+LU8lLiWF4Zjwryhvx+fV6KBqxkrPQ3uVlZ20r26tb2F3XRrfXT0FK\nDJeOzmRkVsKg2BxQJNR19vh4ZmUFe+vbuXJcNheOSNff7TOYOTSNp1ZUsL26hZK8JLfjiMtUrKRP\nNhxsZtHaSvwWEqPDmZifTFp8JCvKG3lyeQV5yTFcPiaTUdmD+0ohkWBW29LJbz4up7alk+sn5zO5\nMMXtSEFhVHYCyTERrNjXqGIlKlZyZjtrWli0tpLCtDjmlmSTmxyDp/cd7Kxh6aw/0Mz7O+t4cnkF\nX5uUx9SiVJcTi8jZ2lPXyh2Pr6axvZs7ZhYxIivB7UhBw2MM04pTeWtbLXUtnWQmRrsdSVykSXP5\nQgca23l21QGyk6K5fUYh+Smxn5UqgDCPoawolb+8YhTDM+NZvPEQB5qOuphYRM7Wmv1NXPfIcrq8\nfu69cKhK1TkoK0olzGNYua/J7SjiMhUrOa3alk6eXF5BYnQEd84qJjoi7LT3DfMYbppaQGJ0OM+u\nrKC1s2cAk4rIuXpjSw23PraStLhIXv7WLPKSY9yOFJTio8IZn5fEugPNdHm19cJgpmIlp9TS2cPv\nPt1HuMdw1+xi4qPOPGscGxnObTMK6ejx8ezKA3j9/gFIKiLn6vfL9/PAM2sZm5vIogdmaePP8zS9\nOJUur5+NB4+4HUVcpGIlp/T21lrau33cObuI1LjIPn9fTlIM107Op6LpKK9vqu7HhCJyrqy1/Pcb\nO/inV7Zy2egsnr1nxln9PZdTG5IaS05SNCvKG7UVzSCmYiV/puZIJ+sONDNzaBo5SWc/LVCan8yF\nI9JZua+J3XWt/ZBQRM5Vt9fPX/1xIw9/sJdbpg9h4W2TiYk8/TS/9J0xhhnFadS0dGqt6SCmYiV/\n5o2t1URFeLh4VMY5/4wrxmSRHBvB29tq9c5NJEC0dXn55pOreWldFX91xUj+45oSwsP0z4CTSguS\niY7wsKK80e0o4hJttyCfs2xPA7tq25hbkk1s5Ln/8QgP83DZ6ExeXFfF9uoWxuZqbxeRvjh+pIzT\nWjt7eHLZfmpaOrluch5p8VE8t+pgvzzWYBYZ7qE0P5m1Fc109vi+8KIfCU16qyKf8fst/7l0B8kx\nEcwYmnbeP29iQQrp8VG8ta0Wv0atRFxT39rFwg/30tDWze0ziphSqL3m+tOUwhS8fsvmSi1iH4xU\nrOQzr246xOaqI1wxNosIB6YHwjyGK8ZmUdfaxcaDhx1IKCJn60BjOws/3Eu3z3LPhcWMytYeVf0t\nLzmGzIQo1h5odjuKuEDFSgDo8vr48Zs7GZuTSGlBsmM/d1xuIjlJ0by7o07bL4gMsG2HWnjsk33E\nRoZx/0VDyU/RdgoDwRjD5CEpHGg6SkNrl9txZICpWAkAf1pfRWVzBz+cO/pzO6ufL48xfGlsFk3t\n3ayt0Ls3kYGycl8jz6ysIDspmvvmDCMtPsrtSIPKxCHJGGCdRq0GHRUrAeCZlQcYlZXAhSPSHf/Z\nI7MSKEyN5b0ddfT4NGol0p+stby1rYZXNhxiVHYC91wwtE8b/IqzEqMjGJmVwPqDh7XGdJBRsRI2\nVR5mU+URbp0xBOPgaNVxxhguG5NFa6eXTVrMKdJvfH7Li+sq+WBnPVOLUrh1eiGR4XqZd8vkwhSO\ndPSwt77N7SgygPQ3Tnh25QFiIsK4ZlJevz3GsIw4MhKiWLlPe7uI9Icur4/fL9/PugOHuWxMJtdM\nzCPM4/wbJem70dkJxESEsU7LIAYVFatBrqWzh1c2HGL+xFwSoyP67XGMMUwvTqWyuYOqwx399jgi\ng1FrZw+/+bicvfVtXDspj8tGZ/XL6LOcnYgwDxPyk9h6qIXOHh3MPFioWA1yL6+roqPHx63TC/v9\nsSYVpBARZlilUSsRxzT07lFV39rFbTMKKSvSHlWBZPKQ3j2tqrQMYrBQsRrErLU8s7KCCflJjM/v\n/53RYyLDmJCfzIaDh/XuTcQBB5qOsvCjvXR7/dx74VBGZye6HUlOkp8SQ0ZClK4OHERUrAaxNRXN\n7Kpt47YBGK06bnpxKj0+y3ptGCpyXrZXt/DbT8qJjgjj/jnDtEdVgDLGUJqfTEXjUQ4f7XY7jgwA\nFatB7JkVFSREh/PV0pwBe8z8lFjykmNYWd6ow5lFztHqfU08vaKCzIRo7tceVQGvtHdGQFdFDw4q\nVoNUU3s3SzbXcN3k/PM6bPlcTC9Opa61i/2NRwf0cUWCnbWWd3fU8vKGKkZkxXPPhcXaoyoIpMVH\nkZ8Sw6ZKjdQPBipWg9SrGw/R7fNz07SCAX/sCfnJREd4tPWCyFnwW8srGw/x7vY6Jg9J5vYZRUSF\nh7kdS/poQn4yh450Uq8jbkKeitUg9dqmQ4zKSnBlsWtkuIdJQ1LYWtVCW5d3wB9fJNj0+Pw8u/IA\nq/Y1MWdkBtdNztceVUFmQl4SBtioUauQp2I1CFUf6WD1/ma+OmHg1ladrKwwBZ/VJcgiZ9LR7eN3\nn+5je3ULX52Qw5fHZWuPqiCUGBNBUXocmyqPaH1piFOxGoRe31QNwFdcLFY5STFkJUaxUVcHipzW\nkY4eHv14LwebOvj61AJmDXP+LE8ZOKX5yTS0dVF9pNPtKNKPVKwGodc2VTM2J5GhGfGu5piYn8yB\npqM0tesSZJGT1bV0svDDvRw+2sOds4uYkJ/sdiQ5TyW5iXiMpgNDnYrVIHOw6SgbDh4e0C0WTmdC\nwbF/KHSljMjnHWhs59cflePzW+69cCjDXH4TJM6IjQpnRGYCmyqP4Nd0YMhSsRpkXt98bBrwq+Nz\nXU4CKbGRFKbFsuHgYa05EOm1o7qF3366j9jIYxt/5ibHuB1JHFRakMSRjh4OaLuZkNWnYmWMudIY\ns9MYs8cY88NTfP1WY8wmY8xmY8wyY0yp81HFCa9tOkRpfhJD0gJjl+bS/GTqWruoadGaA5EXVh/k\n6ZXHNv68b84wUuMi3Y4kDhuTnUi4x2g6MISdsVgZY8KAXwFzgbHAzcaYsSfdbR8wx1o7Hvg34FGn\ng8r529/QzpaqFr46wf3RquPG5yXhMbBBi9hlELPW8sv3dvODFzcxLEMbf4ayqIgwRmcnsPVQi6YD\nQ1RfRqymAXusteXW2m7geWD+iXew1i6z1h4/YXIFkO9sTHHC8WlAN68GPFmc1hzIIOfzW/558Vb+\n561dfG1SHrfPLNTGnyGuJC+Jti4vFZoODEl9KVZ5wMETPq/sve10vgksPZ9Q0j9e3XiIKYUpAbdm\nY2JBMkc6etjf2O52FJEB1dnj4y+eW8fvl1ew4KKh/OSGUsI9Wvoa6kZlJRDuMWw5pH38QpGjf4ON\nMZdwrFj97Wm+vsAYs8YYs6a+vt7Jh5Yz2FPXxo6aVlc3BT2dMTmJRIZ52HhQLzIyeLR09nDn71ax\nZHMN//iVMfz9vDF4tJv6oBAVEcbIrAS2VmmkPhT1pVhVASceKJffe9vnGGMmAI8B8621pzwEzlr7\nqLW2zFpblpGRcS555Ry9ubUGgLklgVesIsM9jM1NZEvVEbw+v9txRPpdbUsnNy5cztqKZh66aSL3\nXDjU7UgywMblJtLS6aWySdOBoaYvxWo1MMIYU2yMiQRuAhafeAdjzBDgJeB2a+0u52PK+Xpney0T\n8pPITop2O8opTchPoqPHx976NrejiPSrvfVtXPvwMg42HeXxO6cyf+IXrayQUDUmJ5EwY9hyqMXt\nKOKwMxYra60XeBB4E9gOvGCt3WqMud8Yc3/v3f4JSAMeNsZsMMas6bfEctbqWjvZcPAwV4zJcjvK\naQ3PiCcq3MOWKr3ISOhaf6CZ6x9ZRmePj+cXzOTCERq5H6yiI8IYnhnPlkM6OzDU9Ol6XmvtEmDJ\nSbctPOHje4B7nI0mTnl/Rx3WwuVjA7dYhYd5GJOTyLbqFnp8fiLCtIBXQsv7O+v41tPryEiI4vd3\nT6MoPc7tSOKykrwkdq5rpepwB/kpgbG3oJw//es1CLy9rZa85BhGZye4HeULleQm0tHjY2V5k9tR\nRBy1aG0l9zy5hmGZcbz4wCyVKgFgTE4CHoNG6kOMilWI6+j28fHuBq4Ym4UxgX3F0YisBCLDPCzZ\nUu12FBFHWGt55IO9/PUfNzJjaCrPL5hJRkKU27EkQMRGhjMsI56tmg4MKSpWIe6TPQ10ef1cEcDT\ngMdFhHkYmZ3AW1tr8Pn1IiPBze+3/Otr2/ivN3ZwVWkuj985Vbupy58pyU2isb1bx3qFEBWrEPfO\ntloSosOZVpzqdpQ+KclNpKGtmzX7NR0owavL6+M7z6/nd5/u5+7ZxTz09YnaTV1OaUxuIgbYUqV9\n/EKFilUI8/kt7+6o5eJRmUGzGHxUdgJR4R6WbqlxO4rIOWnt7OHuJ1bz2qZqfjh3NP/nq9r4U04v\nPiqc4vQ4bbsQQoLjX1s5JxsOHqahrZvLx2S6HaXPosLDuGhkBm9sqcGv6UAJMnWtndz06ApWlDfx\nkxtKuX/OsIBf2yjuK8lLor61i1pNB4YEFasQ9s72WsI9hotHBU+xApg3Ppualk42VB52O4pIn+1r\naOe6R5ZRXt/OY3eUcd0UnUUvfTP2+HSgzg4MCSpWIeztbbVMH5pKUkyE21HOyqWjs4gIMyzdrKsD\nJThsqjzM9Y8so73Lx3MLZnBJkL2ZEXclRkdQmBbLVm27EBJUrELU/oZ29tS1cXkA77Z+OkkxEcwe\nns7SLTW6BFkC3ke76rnp0RXERIax6P6ZTCxIdjuSBKFxuUnUtHTS0NrldhQ5T7r2N0S9u6MOICiL\nFcC8khx+8OImth5qoSQvye04Mog8u/JAn++74WAzi9ZWkpUYzW0zCllR3sQKbXAr52BcbiKvb67W\ndGAI0IhViHp/Rx3DM+MpSA3OYxKuGJtFmMewRNOBEqA+3l3PC2sqKUyL494Lh5IYHVxT7hJYkmMj\nKUiJUbEKASpWIai9y8vKfY1cOjp413mkxEUyY2gqb2g6UAKM31qWbK5m6ZYaSvKSuGtWEdER2qNK\nzl9JXhKHDndysOmo21HkPKhYhaBP9jTQ47NBv4B2bkkO5Q3t7KptczuKCABev59Fayv5ZE8DM4am\ncdPUAsKDZI84CXwluceWPSzVsV5BTa8IIej9HXUkRIVTVpTidpTz8qVxWRiDpgMlIHT1+HhqeQUb\nDh7mS2OzuGpCDh7tUSUOSomLJC85hiWbtUFyMFOxCjHWWt7fWceFI9ODZrf108lMiGZq4bHpQBE3\ntXV5eeyTfeytb+O6yXlcPCpTG39KvyjJTWTDwcMcOtzhdhQ5R8H9L6/8mW3VLdS2dAX9NOBxc8dn\ns7O2lb31mg4UdzS2dbHww73UtXZy2/RCphQGx7mbEpzG9V4FrTeUwUvFKsS837vNwpxRGS4nccaV\nJdmAXmTEHVWHO1j4UTkd3T6+ObuY0TmJbkeSEJceH8WYnEQtgQhiKlYh5r0ddUzITyIzIdrtKI7I\nSYphYkGyFnPKgNtT18ZvPi4nwmO476KhDEmLczuSDBLzSrJZe6BZZwcGKRWrENLU3s36g4dDZhrw\nuHnjs9lS1aJLkGXAbKw8zJPL9pMSG8F9c4aRmRgab1QkOMwdn4O18OZWjdQHIxWrEPLRrnqshUuC\neP+qU5lbkgPoEmQZGJ/saeAPqw9SkBrDgguHBd1ZmxL8hmfGMzIrntc36TUvGKlYhZD3dtSRHh/J\nhBA7AqYgNZZxuYks1Tor6Ud+v+U/Xt/Gks3VjMtN5K7ZxcREauNPccfckhxW7W+iXmcHBh0VqxDh\n81s+3FXPnJGZeDyhdxn4vPE5rD9wmOojugRZnNft9fP9Fzbwm4/3MWNoKjdPGxL025VIcJun6cCg\npVeOELH+QDNHOnq4ZHRoXA14Ml0dKP2lrcvL3U+s5pUNh/ibL4/iqgm52vhTXDcyK56hGXFaAhGE\nVKxCxHs76gjzGC4cEZrFaljGsTUHmg4UJ9W1dvL1Xy9neXkjP75+At++ZLg2/pSAYIxhXkkOK8qb\naGzTdGDvu7gAAAAgAElEQVQwUbEKEe/vrKesMCWkF9rOLclhtdYciEP2NbRz3SPLKK9v57E7yrih\nrMDtSCKfM3d8Nj6/5e1ttW5HkbOgYhUCqo90sL26JeSuBjzZ3PHZWnMgjthw8DDXPbKM9i4fzy2Y\nEXJblEhoGJuTSFFaLEs0Uh9UVKxCwPs76gG4NMSL1aisBIrT47TOSs7L+zvruPnRFcRFhfHiA7OY\nWJDsdiSRUzLGMHd8Dsv2NHD4aLfbcaSPVKxCwPs768hLjmFEZrzbUfqVMYa5JdksL2+kuV0vMnL2\n/rjmIPc8uYahGXG8+MAsitO1m7oEtnklOXj9lrc0HRg0VKyCXJfXx6d7GrhkdMagWHQ7tyRHaw7k\nrFlr+dX7e/ibRZuYOTSNP9w3M2SOfZLQVpKXSH5KDEt1dmDQULEKcivLmzja7Qv5acDjPnuR0SXI\n0kc+v+WfF2/lx2/uZP7EXB6/cyrxUeFuxxLpE2MM88bn8MmeBo509LgdR/pAxSrIvbejjqhwDzOH\nprsdZUAcnw78ZE8DLZ16kZEv1tnj48Fn1/H75RUsuGgoP7txIpHhetmT4DK3JJsen+Xd7RqpDwZ6\nhQlyH+ysY+awtEF19MaVJTl6kZEzOtLRwzceX8XSLTX841fG8PfzxoTkqQQS+iYWJJObFM2Szbpw\nJxioWAWx8vo29jceHTTTgMdNKkgmKzGKpXqRkdOoPtLBjQuXs/5AMz+/eRL3XDjU7Ugi58wYw5Ul\nOXy0u55WjdQHPBWrIPbejjqAQbcHj8djmFuSw4e76mnv8rodRwLMjpoWrn14GVWHO3jirmlcXZrr\ndiSR8zZvfDbdXv9nr/sSuFSsgtgHO+sZkRlPQWqs21EG3LzxOXR5/byj6UA5wad7GrjhkeX4reWF\n+2Yye/jgWHsooW/ykBSyEqNYoqsDA54ujQlSbV1eVu5r5K7ZxW5HcUVZYQo5SdG8suEQ8yfmuR1H\nHPTsygPn9H3rDzTz0roq0hMiuWNmERsOHmbDwcMOpxNxx/GR+udWHaC9y0ucrmwNWBqxClKf7G6g\nx2cH3TTgcR6P4erSXD7aVa/NQgc5ay3v76zjj2srKUyLZcGFw0iOjXQ7lojj5pZk0+X18/5OTQcG\nMhWrIPXO9lqSYiIoK0pxO4prrirNxeu3LNURN4OWz2/504Yq3t5Wy8SCZO6cXTSorpCVwaWsKJX0\neF24E+hUrIKQz295b0cdl4zKICJs8P4vHJebyLCMOF7ZUOV2FHFBl9fHUyv2s3p/MxePzOCGKfmE\newbv3wcJfWEew5UlWby3o46Obp/bceQ09CoUhNYfaKapvZvLxmS5HcVVxhiuLs1j1f4mqo90uB1H\nBlBrZw+/+bic3bVtXDMxjy+Nyx4URzqJzCvJoaPHx4e7NB0YqFSsgtDb22sJ9xjmjMpwO4rrrp6Y\ni7Xw2kZdKTNY1LV08siHe6lv7eL2mYVMK051O5LIgJlWnEpqXCSvbdJrXqBSsQpC72yrZcbQNBKj\nI9yO4rri9Dgm5CexeOMht6PIANjX0M6vPyqnx2e598KhjM5OdDuSyIAKD/MwtySbd7fXaR+/AKVi\nFWTK69vYW9/O5WMG59WAp3J1aS6bq45QXt/mdhTpR5sqD/P4p/uIiwrngTnDyE8ZfPu3iQDMn5hH\nR49P+/gFKBWrIPPu9mPz6oN9fdWJrirNxRg0ahWirLV8tKue51cfJD85hvsvGkpqnLZTkMGrrDCF\n3N59/CTwqFgFmbe31zI6O2FQ7rZ+OlmJ0cwoTmPxhkNYa92OIw7y+S0vr6/ija01lOQlcfcFxcRq\nY0QZ5Dwew1W9+/g1aR+/gKNiFUSa27tZW9HMFWM1WnWy+RNzKW9oZ2PlEbejiEM6un08sWwfayqa\nuXhUBjdNLRjU24uInOjqicf28dMRN4FHr1JB5INddfj8lss1Dfhn5k3IITrCwwtrDrodRRzQ1N7N\nwg/3sr/hKNdPzudLY7PxaDsFkc+MzUlkeGa8lkAEIBWrIPLOtjoyE6IYn5fkdpSAkxgdwbzxOby6\n4ZA2zgtyFY3tPPzBHtq6vNx1QRGTCwfv6QIip2OMYX5pLqv2NXHosPbxCyQqVkGiy+vjw131XDYm\nC49H79xP5cayAlq7vCzdoqHxYPXKhip++8k+YiLCeGDOMIamx7sdSSRgXT0xF4BXNWoVUFSsgsTy\nvY20dXm1zcIXmF6cSlFaLH9YrenAYGOt5aF3dvPd5zeQnxLLA3OGkZ4Q5XYskYBWmBZHaUGyrg4M\nMCpWQeKNLTXER4Uze3i621ECljGGG8oKWLmvif0N7W7HkT7q8vr4yxc28rN3dnHt5Dzunl2kK/9E\n+mh+aS7bqlvYU9fqdhTp1adiZYy50hiz0xizxxjzw1N8fbQxZrkxpssY89fOxxzcenx+3txaw2Vj\nMomOCHM7TkC7bnI+HgN/XKtRq2DQ1N7NbY+t5OX1Vfz1l0bykxtKCdeVfyJ99tUJOXgMGrUKIGd8\nBTPGhAG/AuYCY4GbjTFjT7pbE/Ad4H8cTyisLG+i+WgPc0ty3I4S8LKTorl4VCaL1lbi9fndjiNf\nYG99G197+FM2Vh7hFzdP4sFLR+ggZZGzlJkYzezh6by0rgq/X/v4BYK+vDWcBuyx1pZba7uB54H5\nJ97BWltnrV0N9PRDxkFvyZZqYiPDuFiHLvfJjWUF1LZ08dHuerejyGks29vAtQ8vo63Ty3P3zuCq\n0ly3I4kEreun5FN1uIMV5Y1uRxH6VqzygBPnVSp7b5MB4PNb3txSw6WjNQ3YV5eOziQtLpIXVle6\nHUVOYq3l98v3c/tvV5GZEMWfvj2bKdpOQeS8fHlcNgnR4fxxrV7zAsGALmYwxiwwxqwxxqypr9do\nQl+s3NdIY3s388ZrGrCvIsM9XDs5j3e211LX2ul2HOnV7fXz9y9v4Z9e2colozJ46VuzdDSTiAOi\nI8K4qjSXpVuqaenUxJHb+lKsqoCCEz7P773trFlrH7XWlllryzIyNK3VF0s31xAd4dE04Fm6edoQ\nvH7LMysOuB1FgIa2Lm57bCXPrTrAty8ZxqO3l5EQHeF2LJGQccOUfDp7/CzZpH383NaXYrUaGGGM\nKTbGRAI3AYv7N5bAsWnAN7YemwaMjdTl52djaEY8l43O5OkVFXT2aCd2N209dIT5v/yUjZWHeeim\nifzNl0drk1sRh00sSGZ4ZrymAwPAGYuVtdYLPAi8CWwHXrDWbjXG3G+MuR/AGJNtjKkE/hL4R2NM\npTEmsT+DDwZrK5qpb+3S1YDn6O4Limls79ZZWi5asrma6x9Zjs9vWXT/LOZP1PJMkf5gjOGGKfms\nrWhmb32b23EGtT6tsbLWLrHWjrTWDrPW/kfvbQuttQt7P66x1uZbaxOttcm9H7f0Z/DBYMnmaqLC\nPVwyWrutn4tZw9IYnZ3A45/sw1pdhjyQ/H7LT9/exbeeWcfonAQW/8VsxufrjEuR/vS1SXmEeQyL\nNGrlKu3EF6D8fsvSLdXMGZlBvHahPifGGO6+oJgdNa0s26vLkAdKS2cP9z29lp+/u5vrp+Tz/IIZ\nZCZEux1LJORlJkYzZ2QGL62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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "nb_merge_dist_plot(\n", " SkyCoord(master_catalogue['ra'], master_catalogue['dec']),\n", @@ -524,7 +424,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "metadata": { "collapsed": true }, @@ -543,17 +443,9 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "HELP Warning: There weren't any cross matches. The two surveys probably don't overlap.\n" - ] - } - ], + "outputs": [], "source": [ "nb_merge_dist_plot(\n", " SkyCoord(master_catalogue['ra'], master_catalogue['dec']),\n", @@ -570,7 +462,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": null, "metadata": { "collapsed": true }, @@ -581,20 +473,9 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: MergeConflictWarning: Cannot merge meta key 'EXTNAME' types and , choosing EXTNAME='/Users/rs548/GitHub/dmu_products/dmu1/dmu1_ml_XMM-LSS/data_tmp/SX...' [astropy.utils.metadata]\n", - "WARNING: MergeConflictWarning: Cannot merge meta key 'DATE-HDU' types and , choosing DATE-HDU='2017-12-04T18:31:47' [astropy.utils.metadata]\n", - "WARNING: MergeConflictWarning: Cannot merge meta key 'EXTNAME' types and , choosing EXTNAME='/Users/rs548/GitHub/dmu_products/dmu1/dmu1_ml_XMM-LSS/data_tmp/SX...' [astropy.utils.metadata]\n", - "WARNING: MergeConflictWarning: Cannot merge meta key 'DATE-HDU' types and , choosing DATE-HDU='2017-12-04T18:31:47' [astropy.utils.metadata]\n" - ] - } - ], + "outputs": [], "source": [ "# Given the graph above, we use 0.8 arc-second radius\n", "master_catalogue = merge_catalogues(master_catalogue, sxds, \"sxds_ra\", \"sxds_dec\", radius=0.8*u.arcsec)" @@ -609,20 +490,9 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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8Hq1QnU9YiIdZmXEcPtXBkE/PmT9QsBIREVccq+/gB38+wrr9tSRGhfKP75nJRy/PJyLU\nOymv9LtYMzPj2F3ZSkWzTgf6AwWrINbdNxjU04dFJDBVtXTzwIajPLerishQL1+6ehqfXlkYNPv5\nTbRpaTF4PYbDp9oVrPyAfusGoUGfjxf3nWLb8WZmZ8Vx45xMkqIDe0d3EQl8P9lUxmulDbx9vBlj\nYPmUFFYVpxITHsIf955yu7yAFR7qpSglmsOn2rlxToaa/F2mYBVkOnoHeOLtCk42dTMrM46jdZ2U\n1B7hyqkpXFWcSnio1+0SRWSSaese4NE3ynj09XKGfJZF+UmsnZFGfKRWqJwyMzOO5/fW0NDZR1ps\nhNvlTGoKVkGksrmbX287Sc/AEHcsyWV+TgJtPQOsP1jLpiMN7Kpo4bOrpmj1SkQmRHf/ID9/6wQ/\n2VRGe+8g83LiuWZmOikx4W6XFnRmZMTy/F4oOdWhYOUyj9sFiDNqWnt49I1yvB7DvaunMD8nAYD4\nyFA+uDiXe1dPoXdgiJcOaLldRMZX3+AQv9x8glX/8RrffbmUJQVJrPubldy5JE+hapwkRIWRFR/B\n4dp2t0uZ9LRiFSReO9JAqNfwuaumnnPPqLykKFYXp7LhcD3ljZ0UpcS4UKWIBLMhn+W5XVU8sOEo\n1a09LCtM4icfu4xF+UkA7KlsdbnC4DYjM46NJfXaO9BlWrEKAs1d/RysbmNpQdK7/jBdOTWV+MhQ\n1u07hc/aCaxQRIKZtZaX9p/i+gde5++f2UdSdBj//VdLefKey8+EKhl/MzPjsMCR2g63S5nUFGmD\nwOayRoyBK6akvOtxYSEebpidwW93VLLrZAsfvTx/gioUkUBxIfOjPrw0l9dKG/jBn4+wv7qNKanR\nPPyRy7hBV6a5Iis+griIEA7XtnNZvvZUdIuCVYDr6R9ix8kW5uUkjOkKm3k58Wwua2T9oTotF4vI\nRbHWUtbQxervvkZFczeJUaF84LIcFuYl0NI9oO1nXGKMYUZmHHsqWhkY8hHq1UkpN+hZD3DbTzTT\nP+jjyqnvvlp1mjGGm+dl0dk3yI83Hhvn6kQk2Bxv7OKxN4/z+FvHaesZ4H0LsvnKtcUsyk/Eo1Uq\n183MiKN/yMfxxi63S5m0tFwRwAZ9PjaXNVKUGk1WQuSYvy43KYoFuQk89uZxPnZFPpnxY/9aEZmc\nKpu72XC4jqP1ncSEh3DzvEyWFCRpVcTPFKVGE+b1cPhUO8XpsW6XMykpWAWw/VVttPcOctvC7Av+\n2mtmprOnspVndlTxxaunjUN1IhIMalp72HC4jpLaDqLCvNw4J4NlhcmEhShQ+aNQr4ei1GiO1Xe6\nXcqkpWAVoKy1vHmskbTYcKZdxLuSpOgwlk9J5umdVXx+zVQ82hFdREapa+/llcN1HKhpJyLUw7Wz\n0llelKzdGwJAUUo0JbUdtPUMaLq9CxSsAtTJpm5OtfXy/oXZF93X8MHFOXzlt3t5+0QzlxclO1yh\niASixs4+Xi2pZ29lK6EhHtZMT+PKqSlEhilQBYrC1OE5hccbO1mQq6sDJ5qCVYAqqW3HY2BOdvxF\nf48bZmfyT+EHeXpHlYKVyCRX2dzNf71ylGd3VeH1GFZOS2HltFSideVwwMmMjyAi1EN5Q5eClQv0\nExOgjtR1UpAcTcQlLMtHhnm5eX4mv99dw7duna3RCyKT0Km2Hn706jGe2lGJMYYripJZVZxKbIRO\nIQUqjzEUJkdTrisDXaHuwwDU2t1PbXuvI1d83L4ol56BIdbt0x6CIpNJfUcv3/rjQVZ/9zWe2lHJ\nHUty2fT3V/GeeVkKVUGgKDWG5q5+Wrv73S5l0tESRQA6Wjd8tUdxxqUHq8vyEihKjebpnZV8aEnu\nJX8/EfFvzV39/OT1Mn65+QQDQ5YPXJbNF9dOIzcpyu3SxEFFqdHA8NyxhXlhLlczuShYBaDSug7i\nI0NJj730XeKNMXxwUS7f+VMJxxu7KEyJdqBCEfE3bT0DPPZGOY+/eZzugSFunZ/Fl64p1s98kEqP\niyAy1Et5QxcL89RnNZEUrALMoM9HWUMn83ISHNuL6/2XZfPdl0t4Zmclf3/9DEe+p4j4h86+QX7+\n5nF++kY57b2D3DQ3gy9fU6zhkUHOYwyFKdGUN2qe1URTsAowFU3d9A36mJ4e49j3TI+LYHVxKs/u\nrOa+a6fj1UwrkYDX0z/Ef285wSObymjpHuCamel85dppzM66+CuJJbAUpUZz6FQ7Ld39JEbpdOBE\nUbAKMKV1HXiNYUqqc8EKhpvYP//ELraVN7F8jPsOioj/6R0Y4jdvV/DQxjIaO/tYVZzKfdcWsyA3\nwe3SZIIVpYzMs2roIjFfwWqiKFgFmCN1HeSnRDk+/XjNjFTCQzysP1SnYCUSgPoHfTy9s5IfvXqM\nU229LCtM4uGPXsbRuk4O1bRzqKbd7RJlgqXFhRMV5qW8sZPL8tVnNVEUrAJIa3c/de193DjH+R+Q\nqLAQVk5LZf3BWr55yyzH+rdExHlPbKs48/GQz7KnsoVXS+pp6R4gLymKv1pRyJTU6DNXEMvkdKbP\nqqELa61e1yeIglUAOTNmYZyaTq+bnc6Gw3UcrGm/pInuIjL+fNayr6qNVw7X0dTVT1ZCBO+dn01x\neox+gcoZRakxHKxpp6V7gKRonQ6cCApWAaS0roOEyFDSHBizcC5Xz0jDY2D9wVoFKxE/5fNZDlS3\nseFwHfUdfaTHhfPRZXnMzIxToJL/o2hknEZ5QydJ0UkuVzM5aPJ6gBj0+TjW0Elxeuy4vXgmx4Sz\nuCCJ9YfqxuX7i8jFs9byyuE6bv7hmzzxdgU+C3cuyeWLa6cxKyteoUrOKS02nOjwEI5re5sJoxWr\nAFHR3E3/oG/cZ89cNyudf33xMCebushP1uBAEbdZa3nzWCPfX3+EPZWt5CVFcfuiHObnJGg0ipyX\nMYb8pChONne7XcqkoWAVICqahn8oClKc23ZidAPsab0DPgC+81IJV05L/Yv77lqW59hji8j5bStv\n4vvrj/D2iWay4iP49/fP5fZFOTy9o8rt0iSA5CdHcehUO519g8SE69f+eNMzHCAqmrtJjQknKmx8\n/5clRYeRERfBoVPt/ydYicj4Gf1Gp6K5mw2H6jjW0ElsRAi3zMtkSUES1qJQJRcsb2QfyIqmbmZl\nxblcTfBTsAoA1loqmruZmTkxPxCzsuLYWFKvdzciE6y6tYcNh+ooresgKszLTXMyWFaUTKhX7bBy\n8bISIvEaQ0WzgtVE0G/NANDU2U93/xD5E7T7/KzMOF4tqafkVDuLC3QVich4K63t4NfbTnKwpp3I\nUC/XzUrniinJhIc4OwhYJqdQr4eshAgqmtXAPhEUrALA6abD3AkKVpnxESREhnJIwUpkXJU3dPLA\nhqP8cV8NYV4Pa2ekceXUFCIc3llBJC8pirdPNDPks7roYZwpWAWAiuYuIkI9pI7T/KqzGWOYmRXH\n9uPN9A0O6V2ziMMqm7t58JWjPLerivAQL/eunkJyVBhROvUu4yQvOZq3ypo41dZDTuLEvEmfrPRT\nHAAqmrvJS4rCM4FzamZlxrGlrImy+i6dkxdxSE1rDz/aeIyntlfi8Rg+uaKQe1dPITU2/JxX6Yo4\n5UwDe3O3gtU4U7Dyc+29A9S39zF3gieh5ydHERbi4Uhdh4KVyCWq7+jlxxvLeGJbBRbLh5fm8fk1\nU8mIj3C7NJkk4iNDiY8MpaK5m+VT3K4muI0pWBljbgAeBLzAY9ba+8+6/yPA1wADdACfs9budbjW\nSWlPRSsWyEua2GGdIR4PU1NjKK3r0OadIhfhiW0V9A4M8cbRBt481siQz3JZXiJrZqSRGBXGqyX1\nbpcok0xeUtSZmYgyfs4brIwxXuAh4FqgCthujHneWnto1GHHgdXW2hZjzI3Ao8Cy8Sh4stl5sgUD\n5CRGTvhjT8+I5dCpduo6+siI0ztrkbHqGxzirWONbCytp7t/iLnZ8Vw7K52UmInpkxQ5l7ykKPZX\nt9HeM0BcZKjb5QStsaxYLQWOWWvLAYwxTwK3AmeClbV286jjtwI5ThY5me2qaCE9LsKVq4ROb59z\npLZDwUpkDIZ8lj/sqeb7649Q3drD1NQYrp+dQbYLb4xEzja6z2rOBLeXTCZjCVbZQOWoz6t499Wo\nTwEvXUpRMmzIZ9lT0cpMl3qc4iNDyYyPoLSug1XFmsIu8k4N5tZajtR18PLBOmrbe8lKiOCTKwqY\nlja+e3uKXIjMhAhCPEbBapw52rxujFnDcLC68h3uvwe4ByAvT/vOnc/R+g46+gbPvMtwQ3F6LG8c\nbaB3YMi1GkT82am2Hl7cd4ryxi6SosO4c0kuc7LjJ/QqXpGxCPF4yE6IpEIbMo+rsQSraiB31Oc5\nI7f9BWPMPOAx4EZrbdO5vpG19lGG+69YvHixveBqJ5ldJ1sBJmzi+rkUp8ey6UgDx+o7XatBxB91\n9A6w4XAdO060EBnmHd7PrzCJEI+2nxH/lZccxeayJgaHfIRoq6RxMZZgtR2YZowpZDhQ3QncNfoA\nY0we8BzwMWvtEcernKR2nmwhOTqMpOgw12rIS4oiItRDaV2HazWI+JPBIR+by5rYWFrPwJCP5VOS\nWTsjncgwDdIV/5eXFMUbRxupae0hL3lirzafLM4brKy1g8aYLwAvMzxu4XFr7UFjzL0j9z8C/BOQ\nDPx45LL8QWvt4vEre3LYXdHCwrxEV0cdeD2GaWmxHNHYBZnkrLUcqG7jTwdrae7qZ0ZGLDfNySRl\ngnZEEHHC6daSk83dClbjZEw9VtbadcC6s257ZNTHnwY+7Wxpk1tzVz/ljV18cHHu+Q8eZ8Xpseyv\nbuPQqXZmZ6nhUSafQzXt/MsLB9la3kx6XLga0yVgxUaEkhgVqj6rcaTJ635qb+Vwf9XCvATKG9zd\nkbw4PQaA10obFKxkUmnvHeAH64/w31tOkBAVxq0Lslicn6RNbCWg5SZFcVKDQseNOtf81L6qNozB\nLy6JjY0IJTshko2aFC2ThLWW53ZVsfZ7m/jllhN8ZFk+G//2KpYVJitUScDLTYyirWeA9t4Bt0sJ\nSlqx8lP7q1spSokmxk92ux++OrCetu4B4qM0sVeCV0ltO//0+4O8faKZBbkJ/PzuJczNcf8NjohT\nTu/kUdXcw6wsvZ47TStWfmp/dRvzchLcLuOM6ekx+Cy8frTB7VJExkVH7wDffuEQ7/mvNzla38H9\n75/Lc59brlAlQScrIRKPgcoWnQ4cD/6xHCJ/ob69l7r2Pr84DXhaTlIUCVGhbCyt55b5WW6XI+IY\nay3P763h3148TENnH3cuyeOr108n0cUxJyLjKdTrISM+gioFq3GhYOWH9le3ATDPj94pe4xhdXEq\nm0ob8PksHvWZSBA4WtfBZ3+1k/LGLrITIrl31RRyk6J46UCt26WJjKvcxCj2VLbis5rV7TSdCvRD\npxvXZ2W6s0fgO1kzPY2mrn4O1LS5XYrIJenqG+Tf1x3mxgff4FRbL7cuyOJzVw2HKpHJICcxir5B\nH40dfW6XEnS0YuWHDlS3MTU1hmg/aVw/bVVxKsbAxpIGv+r/Ehkray0v7DvFv714mNr2Xu5YnMuU\ntBi/uUhEZKLkjjSwV7b0uFxJ8NGKlR/aX93GXD/qrzotKTqM+TkJbCzV2AUJPEfqOrjrp9v44m92\nkxIbxrOfW853bp+nUCWTUkpsOOEhHvVZjQO9oviZuvZe6jv8q3F9tDXT03jglSM0dfaRHKOtPMT/\nPLGt4i8+7x0Y4tWSejaXNRIe4uXWBVksKUiitLaD0lrtgSmTk8cYchIjdWXgONCKlZ/ZX+V/jeuj\nrZmRitXYBQkA1lr2VLbwnxuO8NaxRhblJ3LftcUsK0zGoz0vRchJjKK2rZfegSG3SwkqWrHyM/uq\n2/AYmJXlX43rp83JiiclJozXShu4bWGO2+WInFNtWy/P763hRNPw1X4fXZavxnSRs+QmRuGzcLCm\njUX5SW6XEzQUrPzMgeo2pqbFEBXmn/9rPB7DquJUXi2pZ8hntb2H+JX23gFe2FfD1vImIkK93LYg\nm0UFiVqhEjmHnKThBvbdFa0KVg7yz9/ek5S1ln1VbawqTnG7lHe1Znoaz+2qZk9lK4vyE90uRwSf\nz/Lc7mp3MariAAAgAElEQVTuf+kwTZ39LClM4rqZ6USpMV3kHcVFhBIfGcreKo3QcZJedfxIXXsf\njZ19zPPTxvXTVk1LxWPgtdJ6BStx3e6KFr79wiF2VbSyIDeBOxbnkT1yKbmIvLvcxEj2VLa4XUZQ\nUfO6H9lX1Qrg93uTxUeFsig/kddK1cAu7qlp7eHLT+7mth9vprKlh/+4fR7PfW65QpXIBchJjKKy\nuYemTg0KdYpWrPzIgdON65n+HawArpqexndfLqW+o5e02Ai3y5FJpLt/kJ9sKucnr5fhs/D5NVP4\n3FVTNY9K5CKcvqhjb1Ura2eku1xNcNCKlR/ZX93GtLRYIsO8bpdyXmumpwGwsUTDQmVi+HyW3++u\nZu33NvHgK0e5emY6r9y3mr+/foZClchFykqIwGNgT6X6rJyiVyM/Ya1lf3Ubq4vT3C5lTGZmxpKd\nEMmGw/XcsSTP7XIkyN3/Ugkv7quhsqWH7IRI7llZREFKNG8cbXS7NJGAFh7ipTg9lj2VrW6XEjQU\nrPxEbXsvjZ39fjsY9GzGGK6emcZTOyrpHRgiItT/V9kk8NS09vCdP5Xwhz01xEaEcPtlOSzIS9D4\nBBEHLchN4KUDtVhrMfrZumQ6Fegn9o1c7uqvW9mcy9Uz0+kd8LG5TKsG4qzu/kF+8OcjrP3+a/zp\nQC1rpqdy37XFXJavmVQiTluQm0BbzwAnmrS9jRO0YuUnDlS34fUYZmX658T1c7m8KInoMC8bDter\n6VEc4fNZfr+nmu/8qYS69j5umZ/F126YzutHFN5Fxsv83AQA9la2UpgS7XI1gU/Byk/sq2pjWlpM\nQDSunxYe4mVVcSqvHK7Dvm+OlpDlkuw82cy//PEQe6vamJ8Tz48/cpmmQYtMgOL0WKLCvOypbOV9\nC7PdLifgKVj5AWstB6rbWDsjMBrXR7t6ZjovHajlQHW738/fEv9U3drD/S+V8Me9NWTERfCfd8zn\n1vnZeLRdksiE8HoMc7Lj1cDuEAUrP1DT1ktTV39ABpM104ensG84XBeQ9Ys7nthWQf+gjzeONvD6\n0QasHR7hsbo4lZ5+H09ur3S7RJFJZWFuAj9/6wR9g0OEhwTOmRN/pGDlB/aPNK7P9fPG9Se2VZzz\n9tzEKJ7eUUl63P8OCr1rmUYwyLlZa9lb1cqfDtTS1jPA3Ox4bpiTQWJUmNuliUxa83MT6B/yUXKq\n40zPlVwcXRXoB043rs8MoMb10WZmxlHT1ktbz4DbpYif21/Vxgcf2cJvt1cSHeblMyuL+PDSPIUq\nEZctGAlTOh146RSs/MC+6uHG9UCdBTUjIxaAw6faXa5E/FVDRx9fe2Yf733oTY43dnHbwmz+es1U\nXYEk4icy4yNIjQ1XsHKATgW67HTj+jUzA69x/bTU2HCSosMoqW3n8qJkt8sRl5zrVPGgz8eWsiZe\nLalnYMjHiikprJ2RFrBvIkSClTGGBbkJ7FWwumQKVi6rbu2huavf7/ur3o0xhpkZsWw73qzGRwGG\n3zCU1Hawbv8pmrr6mZ4ey01zM0mNDXe7NBF5BwtyE/jzoTraugeIjwp1u5yApVOBLjtQPdK4nhPY\nzYIzs+IY9FmO1HW6XYq4rKmzj19uOcGvtp7EGMMnrijgE8sLFKpE/NzpPqu9VVq1uhRasXLZvqo2\nQjzmTJ9SoCpIjiYmPIT91W0BvfomF29gyMfrRxrYdKQBj8dw05wMrpiSglfzqEQCwtyceIwZbmBf\nVZzqdjkBS8HKZfur2yhOjw34nhOPMczOimNXRQv9gz63y5EJ9lppPQ++cvTMae2b5mYSH6lTCSKB\nJC4ilCmpMeqzukQKVi6y1rK/uo3rZ2W4XYoj5mTHs+14M6V1HW6XIhOkprWHb79wiJcO1JISE8Zf\nrShkalqM22WJyEVakJvAxpJ6rLXapuwiKVi5qKqlh9bugaCZWF6QHE10mPdM35gEr4EhHz9/6zgP\nbDjKkM/yd9cVExcRSohXbZsigWx+bgLP7KyiqqWH3KQot8sJSApWLjrTuB4kPUlej2F2Vjy7K1vo\n6R8KqA2lZez2VrbytWf3UVLbwdUz0vjn984mNynqHSfzi0jgWDhqUKiC1cXR20sX7aseblyfHuCN\n66PNyY5nYMjyWmm926WIw7r7B/n2C4e47cdv0dLdzyMfXcTP7l6iF1+RIDI9I5bwEI8GhV4CrVi5\n6EB1G9MzAr9xfbTClGiiwry8uP8UN87NdLscuUSnV6GO1HXwhz3VtHQPsLQwiRtmZ9Dc1a9VKpEg\nE+r1MDc7nt0VLW6XErC0YuUSay37qoJvNMHp04GvltTTOzDkdjlyibr6Bnl6RyW/2HwCr8fDZ1YW\n8b4F2UH1ZkBE/tKi/EQOVLfrNfwiKVi5pKqlh7ae4GlcH21udjzd/UM6HRjArLX8fnc1/7nhCHur\nWlkzPY0vrtXefiKTwaL8RPqHfLoQ6SLpVKBLTp+/npcd2BPXz6UwJZqk6DBe3F/LDXN0OjDQVLV0\n8w+/O8CmIw3kJkZy28IcMuIj3C5LRCbIovxEAHacbGFxQZLL1QQeBSuX7KlsJTzEw4zM4GlcP83r\nMVw/O50/7Kmhd2BIp40CxJDP8svNJ/je+lIAvnnLLEK9HjyaZSMyqSTHhFOYEs2OEy2w2u1qAo9O\nBbpkd0ULc7PjCQ3SuT83z8uiu3+IPx+qc7sUGYOS2nbe//Bm/uWFQywtTGL9V1bxyRWFClUik9Si\n/ER2VbRgrXW7lIATnL/V/Vz/oI8DNe1nNrwMRpcXJZMVH8HTO6vcLkXeRe/AEN97uZSb/+tNKpu7\nefDOBfz87iXkJGqEgshktig/keaufo43drldSsDRqUAXlNS20z/oY2FeotuljBuvx3D7ohx+uPEY\nNa09ZCVEul2SwF+MRzje2MXvdlfR2NnPwtwEbpqbSVffEL95u9LFCkXEHywe6bPaebKFolRtU3Uh\ntGLlgt0Vw43rC/KCd8UK4PZFuVgLz+3SqpU/6R0Y4ve7q/npG+UM+SyfXF7ABxfnEh2u91kiMmxK\nagxxESHsPKl5VhdKr6Qu2FPZSlpsOFlBfqVVXnIUywqTeGZnFZ9fM1UbevqBgzVtPL+3hs7eQa6c\nmsI1M9MJC9H7KxH5Sx6PYVF+ooLVRdArqgt2V7SwIDdhUgSNDy7O5URTN9tP6IfTTXXtvdz7q538\nelsF0WEhfO6qKdw0N1OhSkTe0aL8RI7Wd9La3e92KQFFr6oTrKWrnxNN3UHdXzXaTXMziA7z8vQO\n9e24weez/ObtCq75wSZeLa3nulnpfH7NVDWni8h5LcofnmF1un1FxkbBaoLtqRrprwriKwJHiwoL\n4eZ5Wby4/xRdfYNulzOplDd08uGfbuUbz+1nVmYcf/rSSq6anobXE/wrpSJy6RbkJuD1GHacbHa7\nlIAyph4rY8wNwIOAF3jMWnv/WffPAH4OXAb8g7X2e04XGix2V7TiMTAvCLeyeScfXJzDb3dU8uL+\nU3xoca7b5QSdszdCHvJZ3jjawKsl9YR4DbctzGZRfiJby/XiKCJjFxnmZXZW3PCgUBmz8wYrY4wX\neAi4FqgCthtjnrfWHhp1WDP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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "nb_merge_dist_plot(\n", " SkyCoord(master_catalogue['ra'], master_catalogue['dec']),\n", @@ -632,20 +502,9 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: MergeConflictWarning: Cannot merge meta key 'EXTNAME' types and , choosing EXTNAME='/Users/rs548/GitHub/dmu_products/dmu1/dmu1_ml_XMM-LSS/data_tmp/UK...' [astropy.utils.metadata]\n", - "WARNING: MergeConflictWarning: Cannot merge meta key 'DATE-HDU' types and , choosing DATE-HDU='2017-10-27T13:11:22' [astropy.utils.metadata]\n", - "WARNING: MergeConflictWarning: Cannot merge meta key 'EXTNAME' types and , choosing EXTNAME='/Users/rs548/GitHub/dmu_products/dmu1/dmu1_ml_XMM-LSS/data_tmp/UK...' [astropy.utils.metadata]\n", - "WARNING: MergeConflictWarning: Cannot merge meta key 'DATE-HDU' types and , choosing DATE-HDU='2017-10-27T13:11:22' [astropy.utils.metadata]\n" - ] - } - ], + "outputs": [], "source": [ "# Given the graph above, we use 0.8 arc-second radius\n", "master_catalogue = merge_catalogues(master_catalogue, ukidss, \"ukidss_ra\", \"ukidss_dec\", radius=0.8*u.arcsec)" @@ -660,20 +519,9 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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Q43U6jgig0iUi4vestbyyo57q9l5umJtHTlK005ECwgUT0+gbGmZnbYfTUUQAlS4REb+3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\niIjIWYmLDOOnN8zk93eX0HZ0kOt++SE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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "nb_merge_dist_plot(\n", " SkyCoord(master_catalogue['ra'], master_catalogue['dec']),\n", @@ -683,20 +531,9 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: MergeConflictWarning: Cannot merge meta key 'EXTNAME' types and , choosing EXTNAME='/Users/rs548/GitHub/dmu_products/dmu1/dmu1_ml_XMM-LSS/data_tmp/VI...' [astropy.utils.metadata]\n", - "WARNING: MergeConflictWarning: Cannot merge meta key 'DATE-HDU' types and , choosing DATE-HDU='2017-11-01T10:29:26' [astropy.utils.metadata]\n", - "WARNING: MergeConflictWarning: Cannot merge meta key 'EXTNAME' types and , choosing EXTNAME='/Users/rs548/GitHub/dmu_products/dmu1/dmu1_ml_XMM-LSS/data_tmp/VI...' [astropy.utils.metadata]\n", - "WARNING: MergeConflictWarning: Cannot merge meta key 'DATE-HDU' types and , choosing DATE-HDU='2017-11-01T10:29:26' [astropy.utils.metadata]\n" - ] - } - ], + "outputs": [], "source": [ "# Given the graph above, we use 0.8 arc-second radius\n", "master_catalogue = merge_catalogues(master_catalogue, vipers, \"vipers_ra\", \"vipers_dec\", radius=0.8*u.arcsec)" @@ -711,20 +548,9 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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aW1ylP+6p0sqZTL2A4FDf1qWNp4JUrQ7WtEnqXwJm8cRRun1JgZZMHqUtRxqY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\n4iAP0wAAAABJRU5ErkJggg==\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "nb_merge_dist_plot(\n", " SkyCoord(master_catalogue['ra'], master_catalogue['dec']),\n", @@ -734,18 +560,9 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: MergeConflictWarning: Cannot merge meta key 'DATE-HDU' types and , choosing DATE-HDU='2017-10-27T11:26:49' [astropy.utils.metadata]\n", - "WARNING: MergeConflictWarning: Cannot merge meta key 'DATE-HDU' types and , choosing DATE-HDU='2017-10-27T11:26:49' [astropy.utils.metadata]\n" - ] - } - ], + "outputs": [], "source": [ "# Given the graph above, we use 0.8 arc-second radius\n", "master_catalogue = merge_catalogues(master_catalogue, vircam, \"vircam_ra\", \"vircam_dec\", radius=0.8*u.arcsec)" @@ -760,20 +577,9 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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55oUlRIeH8MjGClq7+l1KKyKjraN3gN+tPcwru2qZkBHL188vVqn6CLPzEokM9bKmtNHt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\nWI2E25bkc6C2nbvfKiU+MpQ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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "nb_merge_dist_plot(\n", " SkyCoord(master_catalogue['ra'], master_catalogue['dec']),\n", @@ -783,7 +589,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": null, "metadata": { "collapsed": true }, @@ -804,43 +610,9 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ps1_id\n", - "ra\n", - "dec\n", - "flag_merged\n", - "candels_id\n", - "wirds_intid\n", - "megacam_intid\n", - "cfhtls-wide_id\n", - "cfhtls-deep_id\n", - "sparcs_intid\n", - "hsc_intid\n", - "hsc-wide_id\n", - "hsc-deep_id\n", - "hsc-udeep_id\n", - "decals_id\n", - "sxds_intid\n", - "ukidss_intid\n", - "dxs_id\n", - "uds_id\n", - "vipers_id\n", - "vircam_intid\n", - "vhs_id\n", - "video_id\n", - "viking_id\n", - "irac_intid\n", - "servs_intid\n", - "swire_intid\n" - ] - } - ], + "outputs": [], "source": [ "for col in master_catalogue.colnames:\n", " print(col)\n", @@ -857,75 +629,9 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "<Table length=10>\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
idxps1_idradecflag_mergedcandels_idwirds_intidmegacam_intidcfhtls-wide_idcfhtls-deep_idsparcs_intidhsc_intidhsc-wide_idhsc-deep_idhsc-udeep_iddecals_idsxds_intidukidss_intiddxs_iduds_idvipers_idvircam_intidvhs_idvideo_idviking_idirac_intidservs_intidswire_intid
degdeg
010304035434939254435.4349721923-4.13153415525False-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1
110278034905085838534.9051226823-4.34320021525False-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1
210314035076189966935.0762068823-4.04235938525False-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1
310290034901845990134.9018332223-4.24209351525False-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1
410316034884877269334.8848419323-4.03145872525False-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1
510314035075926955935.0759661923-4.04239428525False-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1
610309035556019659335.5558866523-4.08643243525False-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1
710321035471379327435.4714062823-3.98929835525False-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1
810254035345970719835.3460365923-4.54431680525False-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1
910278034904876816434.9048964923-4.34362877525False-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1-1
\n", - "\n" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "master_catalogue[:10].show_in_notebook()" ] @@ -948,7 +654,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": null, "metadata": { "collapsed": true }, @@ -968,7 +674,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": null, "metadata": { "collapsed": true }, @@ -982,17 +688,9 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "OK!\n" - ] - } - ], + "outputs": [], "source": [ "# Check that the HELP Ids are unique\n", "if len(master_catalogue) != len(np.unique(master_catalogue['help_id'])):\n", @@ -1010,7 +708,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": null, "metadata": { "collapsed": true }, @@ -1021,20 +719,9 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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38B3n3B4zuyP6+D3A/wYKgK9HfwiOO+c2zFzZiWf70U4A1mniOBCZZ/XrV45T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\nlYiIiIhH/h+6/yXJZhcNCgAAAABJRU5ErkJggg==\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "nb_merge_dist_plot(\n", " SkyCoord(master_catalogue['ra'], master_catalogue['dec']),\n", @@ -1044,7 +731,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": null, "metadata": { "collapsed": true }, @@ -1074,7 +761,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": null, "metadata": { "collapsed": true }, @@ -1106,7 +793,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": null, "metadata": { "collapsed": true }, @@ -1136,7 +823,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": null, "metadata": { "collapsed": true }, @@ -1170,7 +857,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": null, "metadata": { "collapsed": true }, @@ -1189,7 +876,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": null, "metadata": { "collapsed": true }, @@ -1219,17 +906,9 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "7 master list rows had multiple associations.\n" - ] - } - ], + "outputs": [], "source": [ "#\n", "# Addind SDSS ids\n", @@ -1263,17 +942,9 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "['ps1_id', 'candels_id', 'wirds_intid', 'megacam_intid', 'cfhtls-wide_id', 'cfhtls-deep_id', 'sparcs_intid', 'hsc_intid', 'hsc-wide_id', 'hsc-deep_id', 'hsc-udeep_id', 'decals_id', 'sxds_intid', 'ukidss_intid', 'dxs_id', 'uds_id', 'vipers_id', 'vircam_intid', 'vhs_id', 'video_id', 'viking_id', 'irac_intid', 'servs_intid', 'swire_intid', 'help_id', 'specz_id', 'sdss_id']\n" - ] - } - ], + "outputs": [], "source": [ "id_names = []\n", "for col in master_catalogue.colnames:\n", @@ -1287,14 +958,14 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [ "master_catalogue[id_names].write(\n", - " \"{}/master_list_cross_ident_xmm-lss_low-memory{}.fits\".format(OUT_DIR, SUFFIX), overwrite=True)\n", + " \"{}/master_list_cross_ident_xmm-lss{}.fits\".format(OUT_DIR, SUFFIX), overwrite=True)\n", "id_names.remove('help_id')\n", "#master_catalogue.remove_columns(id_names)" ] @@ -1310,7 +981,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": null, "metadata": { "collapsed": true }, @@ -1331,7 +1002,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": null, "metadata": { "collapsed": true }, @@ -1353,17 +1024,9 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Missing columns: {'vhs_id', 'dxs_id', 'viking_id', 'ukidss_intid', 'specz_id', 'sdss_id', 'megacam_intid', 'cfhtls-deep_id', 'vipers_id', 'video_id', 'uds_id', 'sxds_intid', 'hsc_intid', 'swire_intid', 'wirds_intid', 'sparcs_intid', 'candels_id', 'hsc-udeep_id', 'servs_intid', 'ps1_id', 'irac_intid', 'cfhtls-wide_id', 'hsc-wide_id', 'vircam_intid', 'hsc-deep_id', 'decals_id'}\n" - ] - } - ], + "outputs": [], "source": [ "# We check for columns in the master catalogue that we will not save to disk.\n", "print(\"Missing columns: {}\".format(set(master_catalogue.colnames) - set(columns)))" @@ -1371,7 +1034,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": null, "metadata": { "collapsed": true }, @@ -1390,17 +1053,9 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "18\n" - ] - } - ], + "outputs": [], "source": [ "split_length = 100000 #number of sources to include in every sub catalogue\n", "num_files = int(np.ceil(len(master_catalogue)/split_length))\n", @@ -1409,7 +1064,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": null, "metadata": { "collapsed": true }, @@ -1441,7 +1096,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": null, "metadata": { "collapsed": true }, @@ -1502,7 +1157,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": null, "metadata": { "collapsed": true }, @@ -1605,50 +1260,50 @@ " \n", " nb_optical_flux = (\n", " # CANDELS\n", - " 1 * ~np.isnan(master_catalogue['f_candels_f140w']) + \n", - " 1 * ~np.isnan(master_catalogue['f_candels_f160w']) +\n", - " 1 * ~np.isnan(master_catalogue['f_candels_f606w']) +\n", - " 1 * ~np.isnan(master_catalogue['f_candels_f814w']) +\n", - " 1 * ~np.isnan(master_catalogue['f_candels_f125w']) +\n", + " 1 * ~np.isnan(sub_catalogue['f_candels_f140w']) + \n", + " 1 * ~np.isnan(sub_catalogue['f_candels_f160w']) +\n", + " 1 * ~np.isnan(sub_catalogue['f_candels_f606w']) +\n", + " 1 * ~np.isnan(sub_catalogue['f_candels_f814w']) +\n", + " 1 * ~np.isnan(sub_catalogue['f_candels_f125w']) +\n", " # DECaLS\n", - " 1 * ~np.isnan(master_catalogue['f_decam_g']) + \n", - " 1 * ~np.isnan(master_catalogue['f_decam_r']) +\n", + " 1 * ~np.isnan(sub_catalogue['f_decam_g']) + \n", + " 1 * ~np.isnan(sub_catalogue['f_decam_r']) +\n", " #1 * ~np.isnan(master_catalogue['f_decam_i']) +\n", - " 1 * ~np.isnan(master_catalogue['f_decam_z']) +\n", + " 1 * ~np.isnan(sub_catalogue['f_decam_z']) +\n", " # 1 * ~np.isnan(master_catalogue['f_decam_y']) +\n", " # HSC\n", - " 1 * ~np.isnan(master_catalogue['f_suprime_g']) + \n", - " 1 * ~np.isnan(master_catalogue['f_suprime_r']) +\n", - " 1 * ~np.isnan(master_catalogue['f_suprime_i']) +\n", - " 1 * ~np.isnan(master_catalogue['f_suprime_z']) +\n", - " 1 * ~np.isnan(master_catalogue['f_suprime_y']) +\n", - " 1 * ~np.isnan(master_catalogue['f_suprime_n921']) +\n", - " 1 * ~np.isnan(master_catalogue['f_suprime_n816']) +\n", + " 1 * ~np.isnan(sub_catalogue['f_suprime_g']) + \n", + " 1 * ~np.isnan(sub_catalogue['f_suprime_r']) +\n", + " 1 * ~np.isnan(sub_catalogue['f_suprime_i']) +\n", + " 1 * ~np.isnan(sub_catalogue['f_suprime_z']) +\n", + " 1 * ~np.isnan(sub_catalogue['f_suprime_y']) +\n", + " 1 * ~np.isnan(sub_catalogue['f_suprime_n921']) +\n", + " 1 * ~np.isnan(sub_catalogue['f_suprime_n816']) +\n", " # PanSTARRS\n", - " 1 * ~np.isnan(master_catalogue['f_gpc1_g']) +\n", - " 1 * ~np.isnan(master_catalogue['f_gpc1_r']) +\n", - " 1 * ~np.isnan(master_catalogue['f_gpc1_i']) +\n", - " 1 * ~np.isnan(master_catalogue['f_gpc1_z']) +\n", - " 1 * ~np.isnan(master_catalogue['f_gpc1_y']) +\n", + " 1 * ~np.isnan(sub_catalogue['f_gpc1_g']) +\n", + " 1 * ~np.isnan(sub_catalogue['f_gpc1_r']) +\n", + " 1 * ~np.isnan(sub_catalogue['f_gpc1_i']) +\n", + " 1 * ~np.isnan(sub_catalogue['f_gpc1_z']) +\n", + " 1 * ~np.isnan(sub_catalogue['f_gpc1_y']) +\n", " # CFHT\n", - " 1 * ~np.isnan(master_catalogue['f_megacam_u']) +\n", - " 1 * ~np.isnan(master_catalogue['f_megacam_g']) +\n", - " 1 * ~np.isnan(master_catalogue['f_megacam_r']) +\n", - " 1 * ~np.isnan(master_catalogue['f_megacam_z']) +\n", - " 1 * ~np.isnan(master_catalogue['f_megacam_y']) \n", + " 1 * ~np.isnan(sub_catalogue['f_megacam_u']) +\n", + " 1 * ~np.isnan(sub_catalogue['f_megacam_g']) +\n", + " 1 * ~np.isnan(sub_catalogue['f_megacam_r']) +\n", + " 1 * ~np.isnan(sub_catalogue['f_megacam_z']) +\n", + " 1 * ~np.isnan(sub_catalogue['f_megacam_y']) \n", " )\n", "\n", " nb_nir_flux = (\n", " # UKIDSS\n", - " 1 * ~np.isnan(master_catalogue['f_ukidss_j']) +\n", - " 1 * ~np.isnan(master_catalogue['f_ukidss_h']) +\n", - " 1 * ~np.isnan(master_catalogue['f_ukidss_k']) +\n", + " 1 * ~np.isnan(sub_catalogue['f_ukidss_j']) +\n", + " 1 * ~np.isnan(sub_catalogue['f_ukidss_h']) +\n", + " 1 * ~np.isnan(sub_catalogue['f_ukidss_k']) +\n", " # VISTA\n", - " 1 * ~np.isnan(master_catalogue['f_vista_z']) +\n", - " 1 * ~np.isnan(master_catalogue['f_vista_y']) +\n", - " 1 * ~np.isnan(master_catalogue['f_vista_j']) +\n", - " 1 * ~np.isnan(master_catalogue['f_vista_h']) +\n", - " 1 * ~np.isnan(master_catalogue['f_vista_k'])\n", + " 1 * ~np.isnan(sub_catalogue['f_vista_z']) +\n", + " 1 * ~np.isnan(sub_catalogue['f_vista_y']) +\n", + " 1 * ~np.isnan(sub_catalogue['f_vista_j']) +\n", + " 1 * ~np.isnan(sub_catalogue['f_vista_h']) +\n", + " 1 * ~np.isnan(sub_catalogue['f_vista_k'])\n", " )\n", "\n", " nb_mir_flux = (\n", @@ -1670,7 +1325,7 @@ " \n", " #print('Finished join')\n", " #sub_catalogue.remove_columns(id_names)\n", - " sub_catalogue.write(\"{}/sub_catalogue_xmm-lss_{}_{}.fits\".format(OUT_DIR, SUFFIX, n), overwrite=True)\n", + " sub_catalogue.write(\"{}/tiles/sub_catalogue_xmm-lss_{}_{}.fits\".format(OUT_DIR, SUFFIX, n), overwrite=True)\n", " n += 1" ] }