diff --git a/astropy.ipynb b/astropy.ipynb index d5ccb1f..62d0525 100644 --- a/astropy.ipynb +++ b/astropy.ipynb @@ -8,10 +8,23 @@ ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 4, "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "3" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "If you highlight a code cell, you can press **Shift-Enter** to evaluate it. If you press **Alt-Enter**, the cell will evaluate and a new cell is inserted below it." + "3" ] }, { @@ -72,7 +85,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -88,7 +101,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -97,14 +110,14 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "7.33 µs ± 590 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)\n" + "7.58 µs ± 410 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)\n" ] } ], @@ -122,14 +135,14 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "1.51 ms ± 95.2 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)\n" + "1.67 ms ± 110 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)\n" ] } ], @@ -158,7 +171,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -167,7 +180,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -176,7 +189,7 @@ "(5,)" ] }, - "execution_count": 7, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -187,7 +200,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -196,7 +209,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -205,7 +218,7 @@ "(5, 5)" ] }, - "execution_count": 9, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -223,7 +236,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -236,7 +249,7 @@ " [2., 2., 2., 2., 2.]])" ] }, - "execution_count": 10, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -281,7 +294,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -290,7 +303,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -299,7 +312,7 @@ "(59, 3)" ] }, - "execution_count": 12, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -318,7 +331,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -327,7 +340,7 @@ "(1, 59, 3)" ] }, - "execution_count": 13, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -345,14 +358,14 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "168 µs ± 8.72 µs per loop (mean ± std. dev. of 7 runs, 10000 loops each)\n" + "173 µs ± 6.05 µs per loop (mean ± std. dev. of 7 runs, 10000 loops each)\n" ] } ], @@ -370,7 +383,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -379,14 +392,14 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "17.3 ms ± 315 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n" + "20.7 ms ± 4.77 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n" ] } ], @@ -420,7 +433,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -451,7 +464,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -474,7 +487,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -524,7 +537,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ @@ -533,7 +546,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 24, "metadata": {}, "outputs": [], "source": [ @@ -543,7 +556,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -555,7 +568,7 @@ "< name='Electron mass' value=9.10938356e-31 uncertainty=1.1e-38 unit='kg' reference='CODATA 2014'>" ] }, - "execution_count": 31, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -573,7 +586,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -582,7 +595,7 @@ "True" ] }, - "execution_count": 32, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -593,7 +606,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -602,7 +615,7 @@ "9.10938356e-31" ] }, - "execution_count": 33, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -613,7 +626,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -625,7 +638,7 @@ "Unit(\"kg\")" ] }, - "execution_count": 34, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -643,7 +656,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 29, "metadata": {}, "outputs": [], "source": [ @@ -666,7 +679,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -678,7 +691,7 @@ "" ] }, - "execution_count": 36, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -703,7 +716,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -715,7 +728,7 @@ "" ] }, - "execution_count": 37, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -733,7 +746,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 32, "metadata": {}, "outputs": [ { @@ -745,7 +758,7 @@ "" ] }, - "execution_count": 38, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } @@ -763,7 +776,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 33, "metadata": {}, "outputs": [ { @@ -775,7 +788,7 @@ "" ] }, - "execution_count": 50, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" } @@ -802,29 +815,11 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": null, "metadata": { "scrolled": true }, - "outputs": [ - { - "ename": "UnitConversionError", - "evalue": "'cm' (length) and 'MHz' (frequency) are not convertible", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mUnitConversionError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;34m(\u001b[0m\u001b[0;36m21.106\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mu\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcm\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mu\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mMHz\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;32m/anaconda/envs/school18/lib/python3.6/site-packages/astropy/units/quantity.py\u001b[0m in \u001b[0;36mto\u001b[0;34m(self, unit, equivalencies)\u001b[0m\n\u001b[1;32m 845\u001b[0m \u001b[0;31m# and don't want to slow down this method (esp. the scalar case).\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 846\u001b[0m \u001b[0munit\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mUnit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0munit\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 847\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_new_view\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_to_value\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0munit\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mequivalencies\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0munit\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 848\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 849\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mto_value\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0munit\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mequivalencies\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/anaconda/envs/school18/lib/python3.6/site-packages/astropy/units/quantity.py\u001b[0m in \u001b[0;36m_to_value\u001b[0;34m(self, unit, equivalencies)\u001b[0m\n\u001b[1;32m 817\u001b[0m \u001b[0mequivalencies\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_equivalencies\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 818\u001b[0m return self.unit.to(unit, self.view(np.ndarray),\n\u001b[0;32m--> 819\u001b[0;31m equivalencies=equivalencies)\n\u001b[0m\u001b[1;32m 820\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 821\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mto\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0munit\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mequivalencies\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/anaconda/envs/school18/lib/python3.6/site-packages/astropy/units/core.py\u001b[0m in \u001b[0;36mto\u001b[0;34m(self, other, value, equivalencies)\u001b[0m\n\u001b[1;32m 963\u001b[0m \u001b[0mIf\u001b[0m \u001b[0munits\u001b[0m \u001b[0mare\u001b[0m \u001b[0minconsistent\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 964\u001b[0m \"\"\"\n\u001b[0;32m--> 965\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_converter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mother\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mequivalencies\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mequivalencies\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 966\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 967\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0min_units\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mother\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1.0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mequivalencies\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/anaconda/envs/school18/lib/python3.6/site-packages/astropy/units/core.py\u001b[0m in \u001b[0;36m_get_converter\u001b[0;34m(self, other, equivalencies)\u001b[0m\n\u001b[1;32m 897\u001b[0m \u001b[0;32mpass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 898\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 899\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 900\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 901\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_to\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mother\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/anaconda/envs/school18/lib/python3.6/site-packages/astropy/units/core.py\u001b[0m in \u001b[0;36m_get_converter\u001b[0;34m(self, other, equivalencies)\u001b[0m\n\u001b[1;32m 883\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 884\u001b[0m return self._apply_equivalencies(\n\u001b[0;32m--> 885\u001b[0;31m self, other, self._normalize_equivalencies(equivalencies))\n\u001b[0m\u001b[1;32m 886\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mUnitsError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 887\u001b[0m \u001b[0;31m# Last hope: maybe other knows how to do it?\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/anaconda/envs/school18/lib/python3.6/site-packages/astropy/units/core.py\u001b[0m in \u001b[0;36m_apply_equivalencies\u001b[0;34m(self, unit, other, equivalencies)\u001b[0m\n\u001b[1;32m 867\u001b[0m raise UnitConversionError(\n\u001b[1;32m 868\u001b[0m \"{0} and {1} are not convertible\".format(\n\u001b[0;32m--> 869\u001b[0;31m unit_str, other_str))\n\u001b[0m\u001b[1;32m 870\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 871\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_get_converter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mother\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mequivalencies\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mUnitConversionError\u001b[0m: 'cm' (length) and 'MHz' (frequency) are not convertible" - ] - } - ], + "outputs": [], "source": [ "(21.106*u.cm).to(u.MHz)" ] @@ -838,7 +833,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -850,7 +845,7 @@ "" ] }, - "execution_count": 52, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -868,7 +863,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -880,7 +875,7 @@ "" ] }, - "execution_count": 53, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } @@ -898,7 +893,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 36, "metadata": {}, "outputs": [ { @@ -910,7 +905,7 @@ "" ] }, - "execution_count": 54, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -929,16 +924,16 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 37, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 55, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" } @@ -949,7 +944,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 38, "metadata": {}, "outputs": [ { @@ -961,7 +956,7 @@ "" ] }, - "execution_count": 56, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" } @@ -979,7 +974,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 39, "metadata": {}, "outputs": [ { @@ -1005,7 +1000,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 40, "metadata": {}, "outputs": [ { @@ -1017,7 +1012,7 @@ "" ] }, - "execution_count": 58, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -1046,7 +1041,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 41, "metadata": {}, "outputs": [], "source": [ @@ -1055,11 +1050,10 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 43, "metadata": {}, "outputs": [], "source": [ - "#@u.quantity_input(lamda=u.m, t=u.K)\n", "def rayleigh_jeans(lamda, t):\n", " return (2 * speed_of_light * k_B * t) / lamda**4" ] @@ -1073,7 +1067,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 44, "metadata": {}, "outputs": [ { @@ -1103,7 +1097,7 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 45, "metadata": {}, "outputs": [], "source": [ @@ -1112,7 +1106,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 46, "metadata": {}, "outputs": [ { @@ -1141,7 +1135,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 47, "metadata": {}, "outputs": [], "source": [ @@ -1152,25 +1146,25 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 51, "metadata": {}, "outputs": [ { "data": { "text/latex": [ - "$3.9735169 \\times 10^{-19} \\; \\mathrm{\\frac{J\\,m}{s\\,MHz^{4}}}$" + "$3.9735169 \\times 10^{-43} \\; \\mathrm{m^{3}\\,kg\\,s}$" ], "text/plain": [ - "" + "" ] }, - "execution_count": 65, + "execution_count": 51, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "rayleigh_jeans(50*u.MHz, 300*u.K)" + "rayleigh_jeans(50*u.MHz, 300*u.K).si" ] }, { @@ -1196,7 +1190,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 52, "metadata": {}, "outputs": [], "source": [ @@ -1205,7 +1199,7 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 53, "metadata": {}, "outputs": [], "source": [ @@ -1214,7 +1208,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 54, "metadata": {}, "outputs": [ { @@ -1223,7 +1217,7 @@ "'2019-03-13T11:30:00.000'" ] }, - "execution_count": 68, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" } @@ -1234,7 +1228,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 55, "metadata": {}, "outputs": [ { @@ -1243,7 +1237,7 @@ "58555.479166666664" ] }, - "execution_count": 69, + "execution_count": 55, "metadata": {}, "output_type": "execute_result" } @@ -1261,7 +1255,7 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 56, "metadata": {}, "outputs": [ { @@ -1273,7 +1267,7 @@ "" ] }, - "execution_count": 70, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" } @@ -1291,7 +1285,7 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 57, "metadata": {}, "outputs": [ { @@ -1300,7 +1294,7 @@ "18.0" ] }, - "execution_count": 71, + "execution_count": 57, "metadata": {}, "output_type": "execute_result" } @@ -1325,7 +1319,7 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 58, "metadata": {}, "outputs": [ { @@ -1337,7 +1331,7 @@ "" ] }, - "execution_count": 72, + "execution_count": 58, "metadata": {}, "output_type": "execute_result" } @@ -1348,7 +1342,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 59, "metadata": {}, "outputs": [ { @@ -1360,7 +1354,7 @@ "" ] }, - "execution_count": 73, + "execution_count": 59, "metadata": {}, "output_type": "execute_result" } @@ -1371,7 +1365,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 60, "metadata": {}, "outputs": [ { @@ -1383,7 +1377,7 @@ "" ] }, - "execution_count": 74, + "execution_count": 60, "metadata": {}, "output_type": "execute_result" } @@ -1408,7 +1402,7 @@ }, { "cell_type": "code", - "execution_count": 75, + "execution_count": 61, "metadata": {}, "outputs": [], "source": [ @@ -1417,7 +1411,7 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": 62, "metadata": {}, "outputs": [ { @@ -1429,7 +1423,7 @@ "" ] }, - "execution_count": 76, + "execution_count": 62, "metadata": {}, "output_type": "execute_result" } @@ -1441,7 +1435,7 @@ }, { "cell_type": "code", - "execution_count": 77, + "execution_count": 63, "metadata": {}, "outputs": [ { @@ -1453,7 +1447,7 @@ "" ] }, - "execution_count": 77, + "execution_count": 63, "metadata": {}, "output_type": "execute_result" } @@ -1465,7 +1459,7 @@ }, { "cell_type": "code", - "execution_count": 78, + "execution_count": 64, "metadata": {}, "outputs": [ { @@ -1474,7 +1468,7 @@ "hms_tuple(h=8.0, m=34.0, s=5.540000000001868)" ] }, - "execution_count": 78, + "execution_count": 64, "metadata": {}, "output_type": "execute_result" } @@ -1485,7 +1479,7 @@ }, { "cell_type": "code", - "execution_count": 79, + "execution_count": 65, "metadata": {}, "outputs": [ { @@ -1494,7 +1488,7 @@ "dms_tuple(d=-45.0, m=-50.0, s=-8.526512829121202e-12)" ] }, - "execution_count": 79, + "execution_count": 65, "metadata": {}, "output_type": "execute_result" } @@ -1505,7 +1499,7 @@ }, { "cell_type": "code", - "execution_count": 80, + "execution_count": 66, "metadata": {}, "outputs": [ { @@ -1514,7 +1508,7 @@ "signed_dms_tuple(sign=-1.0, d=45.0, m=50.0, s=8.526512829121202e-12)" ] }, - "execution_count": 80, + "execution_count": 66, "metadata": {}, "output_type": "execute_result" } @@ -1546,7 +1540,7 @@ }, { "cell_type": "code", - "execution_count": 81, + "execution_count": 67, "metadata": {}, "outputs": [], "source": [ @@ -1562,7 +1556,7 @@ }, { "cell_type": "code", - "execution_count": 82, + "execution_count": 68, "metadata": {}, "outputs": [], "source": [ @@ -1580,7 +1574,7 @@ }, { "cell_type": "code", - "execution_count": 83, + "execution_count": 69, "metadata": {}, "outputs": [], "source": [ @@ -1589,7 +1583,7 @@ }, { "cell_type": "code", - "execution_count": 84, + "execution_count": 70, "metadata": {}, "outputs": [ { @@ -1601,7 +1595,7 @@ "" ] }, - "execution_count": 84, + "execution_count": 70, "metadata": {}, "output_type": "execute_result" } @@ -1612,7 +1606,7 @@ }, { "cell_type": "code", - "execution_count": 85, + "execution_count": 71, "metadata": {}, "outputs": [ { @@ -1624,7 +1618,7 @@ "" ] }, - "execution_count": 85, + "execution_count": 71, "metadata": {}, "output_type": "execute_result" } @@ -1635,7 +1629,7 @@ }, { "cell_type": "code", - "execution_count": 86, + "execution_count": 72, "metadata": {}, "outputs": [ { @@ -1647,7 +1641,7 @@ "" ] }, - "execution_count": 86, + "execution_count": 72, "metadata": {}, "output_type": "execute_result" } @@ -1658,7 +1652,7 @@ }, { "cell_type": "code", - "execution_count": 87, + "execution_count": 73, "metadata": {}, "outputs": [ { @@ -1668,7 +1662,7 @@ " (123.28054967, 26.46139598)>" ] }, - "execution_count": 87, + "execution_count": 73, "metadata": {}, "output_type": "execute_result" } @@ -1679,7 +1673,7 @@ }, { "cell_type": "code", - "execution_count": 88, + "execution_count": 74, "metadata": {}, "outputs": [], "source": [ @@ -1695,7 +1689,7 @@ }, { "cell_type": "code", - "execution_count": 89, + "execution_count": 75, "metadata": {}, "outputs": [ { @@ -1707,7 +1701,7 @@ "" ] }, - "execution_count": 89, + "execution_count": 75, "metadata": {}, "output_type": "execute_result" } @@ -1723,6 +1717,20 @@ "" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Convert sky coordinates to Azimuth / Elevation" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "*TODO*" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -1739,7 +1747,7 @@ }, { "cell_type": "code", - "execution_count": 309, + "execution_count": 76, "metadata": {}, "outputs": [], "source": [ @@ -1748,7 +1756,7 @@ }, { "cell_type": "code", - "execution_count": 310, + "execution_count": 77, "metadata": {}, "outputs": [], "source": [ @@ -1757,19 +1765,19 @@ }, { "cell_type": "code", - "execution_count": 311, + "execution_count": 163, "metadata": {}, "outputs": [], "source": [ "lotss_query = vo.dal.scs.SCSQuery('https://vo.astron.nl/hetdex/lotss-dr1/cone/scs.xml')\n", "lotss_query['RA'] = lotss_center.ra.to(u.deg).value\n", "lotss_query['DEC'] = lotss_center.dec.to(u.deg).value\n", - "lotss_query.radius = 0.5*u.deg" + "lotss_query.radius = 1.5*u.deg" ] }, { "cell_type": "code", - "execution_count": 312, + "execution_count": 164, "metadata": {}, "outputs": [ { @@ -1789,38 +1797,38 @@ }, { "cell_type": "code", - "execution_count": 313, + "execution_count": 165, "metadata": {}, "outputs": [ { "data": { "text/html": [ "Table masked=True length=5\n", - "\n", + "
\n", "\n", "\n", "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "
Source_NameRAE_RADECE_DECPeak_fluxE_Peak_fluxTotal_fluxE_Total_fluxMajorE_MajMinorE_MinDC_MajE_DC_MajDC_MinE_DC_MinPAE_PADC_PAE_DC_PAIsl_rmsS_CodeMosaic_IDMasked_FractionID_flagID_nameID_raID_decML_LRLGZ_SizeLGZ_WidthLGZ_PALGZ_AssocLGZ_Assoc_QualLGZ_ID_QualDeblended_fromAllWISEobjidgFApFluxgFApFluxErrgFApMaggFApMagErrrFApFluxrFApFluxErrrFApMagrFApMagErriFApFluxiFApFluxErriFApMagiFApMagErrzFApFluxzFApFluxErrzFApMagzFApMagErryFApFluxyFApFluxErryFApMagyFApMagErrgFKronFluxgFKronFluxErrrFKronFluxrFKronFluxErriFKronFluxiFKronFluxErrzFKronFluxzFKronFluxErryFKronFluxyFKronFluxErrW1FluxW1FluxErrW1MagW1MagErrW2FluxW2FluxErrW2MagW2MagErrW3FluxW3FluxErrW3MagW3MagErrW4FluxW4FluxErrW4MagW4MagErrz_bestz_best_sourcez_specz_spec_sourcez1_medianz1_minz1_maxz1_areaz2_medianz2_minz2_maxz2_areaspecAGNmqcAGNXrayClass_2RXS_IDXMMSL2_IDIRClassEBVPanSTARRS_Missingu_restg_restr_resti_restz_restU__restB_restV_restI__restJ_restKs_restw1_restw2_restw3_rest
degarcsdegarcsmJy/beammJy/beammJymJyarcsarcsarcsarcsarcsarcsarcsarcsdegdegdegdegmJy/beamdegdegarcsarcsdeguJyuJymagmaguJyuJymagmaguJyuJymagmaguJyuJymagmaguJyuJymagmaguJyuJyuJyuJyuJyuJyuJyuJyuJyuJyuJyuJymagmaguJyuJymagmaguJyuJymagmaguJyuJymagmagmagmagmagmagmagmagmagmagmagmagmagmagmagmag
objectfloat64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64objectobjectfloat64int32objectfloat64float64float64float64float64float64float64float64float64objectobjectobjectfloat64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64objectobjectfloat64objectobjectint16float64int16float64float64float64float64float64float64float64float64float64float64float64float64float64float64
ILTJ130616.21+495910.3196.5675558448561.6655323552429849.98621823685270.6620377863262610.2158664032789610.05724819968195510.5092290939679780.0789794330318615--3.93851902152287--1.5165878099058810.85871576465353.938519021522873.295561373344941.5165878099058884.83670969872226.326579230162684.83670969872226.32657923016260.0558077881578356SP34Hetdex060.01--------------------------------------------------------------------------------------------------------------------------------------0------------------------------------
ILTJ130605.33+495950.8196.5221938439440.30389180692567149.99746412961750.5135372799772560.4235057512421220.0591650299027820.5168786840988510.0970983536179056--1.21504893859048--0.7057723211389320.01.215048938590480.00.705772321138932173.63084469478923.34555337437030.023.34555337437030.0575732738070656SP34Hetdex060.01PSO J130605.380+495951.153196.522364149.99752973690.036378825709------------J130605.38+495950.83.065743433117690.78677719491115322.68366048332870.2786379565769398.750672774462980.79277063792855721.54489639001430.098362698029358823.863213766180.87127611629645420.45567767084590.039641602052142453.35441738223942.1622514873770819.58207404531710.044000756428818153.20633452817054.0430522791170919.58509164826340.082503113136712.01803338172421e-066.17555968062254e-077.34663736530279e-067.0943738525941e-072.36167975642223e-057.81940236721431e-074.7343137901633e-052.7679510487703e-065.08322342764531e-054.34938297651945e-06--------------------------------0.770.0----0.770.6360.91180.740.55870.53170.58770.05100.000.01091---21.2124140470411-22.7681080509189-23.4737485599868-23.7702312959744-24.0737377147023---22.5181821204332-23.2107028758978---24.3495700058843-24.2845276401204-23.5081581053761----
ILTJ130549.58+500422.5196.4565628014390.40005896599448250.07291812321540.3229232895014790.4856914586369470.06046797200683610.6230392441879740.0968843082428916--0.94339683169702--0.7587673367113273.983230538653910.943396831697022.262438996764320.75876733671132795.57587807577146.703786178889895.575878075771546.70378617888980.0576240818190854SP34Hetdex060.691--------------------------------------------------------------------------------------------------------------------------------------0------------------------------------
ILTJ130542.93+500437.5196.4288810577110.28946065952416650.07710054952430.3017851060741940.5581085026781250.05905801803350210.657077539149010.0971700058406462--0.764052420456912--0.6211734116051973.348717703243370.7640524204569121.431108720929980.62117341160519739.521882722977142.441988886804539.52188272297442.44198888680450.0571036362089217SP34Hetdex060.651PSO J130543.001+500436.974196.4291077550.07691911715.486847955676------------J130542.96+500437.8-0.308000011273180.598588997036131----2.387513714688621.1719418339917622.95513531250560.5329475894556048.105069721152170.68775777308340521.62810811231580.09213042454054659.912732396560291.7399986065792821.40951654461820.19058110395952619.4303902468924.685108431629720.67879619196810.2617956604475095.92609856541618e-077.5990100178183e-071.49397588875783e-064.28684332339894e-076.2016046983807e-065.46601071689281e-079.11182337476786e-061.38542243159407e-061.61462423265663e-052.70904003826594e-06--------------------------------0.8390.0----0.8390.39581.32970.795--------00.010.01124---20.163524126335-21.6006901857768-22.3262981022311-22.7623977196001-23.2069208955163---21.4161667149395-22.0326152542715---23.7880498823509-24.1440478146679-23.8450420536358-23.6100561000025--
ILTJ130525.46+500527.9196.3560743982430.56963697222426950.09110801212650.2911439881872060.4266012408364560.05538821562570870.51204436271360.0937371620247486--1.41586245733431--0.5144831114149130.01.415862457334310.00.514483111414913110.44561317458813.00583403235890.013.00583403235890.0560678709007334SP34Hetdex060.721AllWISE J130525.41+500527.8196.355886350.091071595.2588346696976------------J130525.41+500527.8----------------------------------------------------------------------------------------------0.0--------------------00.030.01103------------------------------
ILTJ131101.27+503649.8197.7552982352850.62144900140668250.61385371195030.2211223793677810.3861483072925310.05342103052854190.4259887744623650.0932860834840265--1.46361481518271--0.5194930711753220.01.463614815182710.00.51949307117532290.898752203372914.75264608228760.014.75264608228760.0550119184481446SP34Hetdex060.01PSO J131101.362+503649.578197.7556478950.61377251347.133477921727------------J131101.30+503649.71.866669456331351.4436724130131623.2223314466920.8397027129267410.9979044884433820.62279348369505423.90227755992540.6776093716042326.172901649706580.86822535894012821.92377660603110.15270998301669514.43412410487922.5728237198959321.00152391237450.19352804789916115.60708478461777.4174408223914120.91669552584640.5160082205396022.56776893630048e-061.30077265423184e-061.23298628546559e-068.15227917967764e-076.25157608437465e-061.25279965900595e-061.45255111584377e-052.44757075737054e-061.52522122684537e-051.35679870655598e-05--------------------------------0.88480.0----0.88480.45561.32970.796--------00.000.0139---20.5409613508517-22.0739579470814-22.8448487510067-23.1629436412186-23.5119128804571---21.7863417804376-22.5345513096806---23.8566087293678-23.9072091711578-23.3777655575066----
ILTJ131131.20+503026.2197.8799864880830.58955510139421250.50729400447370.7021809667588660.3609528581571790.07022583975883450.5961150433399070.104608162967654--1.71288457955039--1.314293944355525.758909007920821.712884579550393.888584253271051.31429394435552157.55453015161158.6388256039688157.55453015161258.63882560396880.0651711889076978SP34Hetdex060.441PSO J131131.215+503025.772197.8800660550.50716631399.948090419051------------J131131.15+503024.93.069550756117770.71198197037378722.6823129525250.25183639685031216.59042720745080.79703116805200220.85035607661330.052160537197383628.91663474702630.93246265280093420.24713062663160.035011282280518338.85944590887741.4478389840846319.9262584905830.040452743648663153.47182573331523.4327434914125119.5796874679160.06970126490280433.60707254305572e-068.48164631771024e-071.42554085870874e-051.10773751658219e-062.67972718786278e-051.08762931003594e-063.57530009009661e-052.201689455592e-064.31554661228116e-058.11732270249873e-06--------------------------------0.50180.0----0.50180.41270.58770.782--------00.000.01255---19.9301938376017-21.2974854030332-22.0413918719042-22.3249032663389-22.7166167171887---21.097606486577-21.6769476582165---23.2363588101719-23.5176716486097-23.243995907579-23.7845800841936--
ILTJ131108.55+503249.0197.7856368240740.85167763119447250.54695080620790.6323137645901870.227891882725910.05848859151384220.286465121741160.0944404915336735--2.00898788983535--1.484199715510194.140090887504672.008987889835351.594192274716371.4841997155101986.529473225060771.981522524072886.529473225060371.98152252407280.0560475345992018SP34Hetdex060.01AllWISE J131108.57+503247.9197.785743450.5466595100.019126783029------------J131108.57+503247.9----------------------------------------------------------------------------------------------0.0--------------------00.010.01379------------------------------
ILTJ131101.62+503204.2197.7567473244640.33539529780366750.53452410038060.1856017821812310.4928839118623740.05259832894104550.4145985634831730.0982862685855707--0.789865413409456--0.4367396004236550.00.7898654134094560.00.43673960042365592.216854888337118.53140960025590.018.53140960025590.056064975069603SP34Hetdex060.41PSO J131101.647+503204.183197.7568589350.53451622749.88886729886------------J131101.65+503204.229.84987619857430.45196384762485920.21264366438410.016439381836750642.56810978996930.91105878152465919.82728908491720.023237336791431558.49794091068481.5091802771118319.48214855132730.028010758000337378.57447234636112.6619856020567519.16179631683010.036783118720258678.85705014219878.2636384465120219.15789868224930.1137771629579142.64844347508617e-059.73425043103047e-073.86236095930616e-057.57848556401535e-075.345293250243e-051.7979438379931e-067.01489257667908e-052.30404870197591e-067.1750651403686e-055.52060735365928e-06--------------------------------0.75830.0----0.75830.44691.02980.7460.38130.34250.41690.04700.0150.01397---22.8389031272551-23.3824170124558-23.9775820842473-24.1778833218268-24.4258668060437---23.2450700725908-23.5835179828137---24.8148955332916-25.8599411402652-26.629525196365-27.0285758542292-27.789224990662
ILTJ131102.14+503327.0197.7589170489020.83151673652545750.55750085370040.6894602268341940.2186099426560440.05826875670058250.2681937867346890.0947003356327626--2.00458627047453--1.565763833631613.782878994709432.004586270474531.666627753292571.56576383363161111.4670201415890.3620348876477111.46702014158290.36203488764770.0559758846065961SP34Hetdex060.01AllWISE J131102.05+503326.2197.758577150.5572816115.255320768347------------J131102.05+503326.2----------------------------------------------------------------------------------------------0.0--------------------00.000.01413------------------------------
" ], "text/plain": [ "\n", - " Source_Name RA ... w2_rest w3_rest\n", - " deg ... mag mag \n", - " object float64 ... float64 float64\n", - "---------------------- ---------------- ... ----------------- -------\n", - "ILTJ130616.21+495910.3 196.567555844856 ... -- --\n", - "ILTJ130605.33+495950.8 196.522193843944 ... -- --\n", - "ILTJ130549.58+500422.5 196.456562801439 ... -- --\n", - "ILTJ130542.93+500437.5 196.428881057711 ... -23.6100561000025 --\n", - "ILTJ130525.46+500527.9 196.356074398243 ... -- --" + " Source_Name RA ... w2_rest w3_rest \n", + " deg ... mag mag \n", + " object float64 ... float64 float64 \n", + "---------------------- ---------------- ... ----------------- ----------------\n", + "ILTJ131101.27+503649.8 197.755298235285 ... -- --\n", + "ILTJ131131.20+503026.2 197.879986488083 ... -23.7845800841936 --\n", + "ILTJ131108.55+503249.0 197.785636824074 ... -- --\n", + "ILTJ131101.62+503204.2 197.756747324464 ... -27.0285758542292 -27.789224990662\n", + "ILTJ131102.14+503327.0 197.758917048902 ... -- --" ] }, - "execution_count": 313, + "execution_count": 165, "metadata": {}, "output_type": "execute_result" } @@ -1831,7 +1839,7 @@ }, { "cell_type": "code", - "execution_count": 314, + "execution_count": 166, "metadata": {}, "outputs": [], "source": [ @@ -1843,7 +1851,7 @@ }, { "cell_type": "code", - "execution_count": 315, + "execution_count": 167, "metadata": {}, "outputs": [ { @@ -1863,14 +1871,14 @@ }, { "cell_type": "code", - "execution_count": 316, + "execution_count": 168, "metadata": {}, "outputs": [ { "data": { "text/html": [ - "Table masked=True length=151\n", - "
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IDRAe_RADECe_DECSinte_SintSpke_SpkMAJAXe_MAJAXMINAXe_MINAXPAe_PAIsland_RMSS_CodeMosaic_Name
degarcsdegarcsmJymJymJy/beammJy/beamarcsarcsarcsarcsdegdegmJy/beam
objectfloat64float64float64float64float64float64float64float64float64float64float64float64float64float64float64objectobject
J131212.0+500651198.050142.150.114382.136.95.538.94.524.41.424.31.414.90.42.3CR40D64
J131052.8+500412197.72022.650.070182.450.76.226.63.643.24.627.52.1-57.610.82.3SR40D64
J130945.9+500724197.441452.150.12362.167.17.754.35.929.51.326.11.1-6.815.32.2SR40D64
J131117.3+495331197.82222.049.891992.089.69.881.88.527.00.825.40.7-31.920.02.4SR40D64
J131132.8+493921197.886952.149.655852.161.47.554.96.126.71.326.21.2-78.190.02.5SR40D64
J130953.7+494415197.474012.549.737532.533.35.122.53.431.83.729.13.2-46.955.02.4SR40D64
J130751.2+491512196.96372.049.253562.0126.313.6106.311.128.60.926.00.7-28.314.63.0SR40D63
......................................................
J130115.3+483718195.314122.148.621932.182.110.173.38.128.31.424.71.1-29.615.33.4SR40D63
J125806.6+484816194.527562.048.804522.0249.525.7222.122.527.40.525.60.480.710.33.6SR40D63
J125942.5+484323194.927192.048.723062.0660.866.4646.064.725.50.125.10.1-37.415.83.5SR40D63
J125913.0+484137194.804382.048.693712.01405.6140.71245.9124.627.20.126.00.184.92.63.6CR40D63
J125910.1+484128194.792472.048.69122.01837.8183.91543.5154.429.80.126.90.141.21.13.6MR40D63
J125745.0+484122194.437912.648.68962.532.47.228.04.827.63.926.23.5-63.990.03.8SR40D63
J125804.9+483540194.520432.548.594712.542.37.632.05.129.23.728.23.4-71.490.03.8SR40D63
J125824.0+483052194.600252.148.514692.191.611.279.68.928.51.525.31.246.717.33.8SR40D63
J125746.9+485451194.445422.148.914192.1660.666.7196.920.045.81.343.91.2-6.627.43.5MR40D63
J125729.6+484011194.373342.448.669822.450.38.036.55.429.73.329.03.1-79.690.03.8SR40D63
" ], "text/plain": [ - "\n", + "
\n", " ID RA e_RA DEC ... Island_RMS S_Code Mosaic_Name\n", " deg arcs deg ... mJy/beam \n", " object float64 float64 float64 ... float64 object object \n", @@ -1906,25 +1899,10 @@ "J131216.0+500605 198.06668 2.0 50.10156 ... 2.3 M R40D64\n", "J131212.0+500651 198.05014 2.1 50.11438 ... 2.3 C R40D64\n", "J131052.8+500412 197.7202 2.6 50.07018 ... 2.3 S R40D64\n", - "J130945.9+500724 197.44145 2.1 50.1236 ... 2.2 S R40D64\n", - "J131117.3+495331 197.8222 2.0 49.89199 ... 2.4 S R40D64\n", - "J131132.8+493921 197.88695 2.1 49.65585 ... 2.5 S R40D64\n", - "J130953.7+494415 197.47401 2.5 49.73753 ... 2.4 S R40D64\n", - "J130751.2+491512 196.9637 2.0 49.25356 ... 3.0 S R40D63\n", - " ... ... ... ... ... ... ... ...\n", - "J130115.3+483718 195.31412 2.1 48.62193 ... 3.4 S R40D63\n", - "J125806.6+484816 194.52756 2.0 48.80452 ... 3.6 S R40D63\n", - "J125942.5+484323 194.92719 2.0 48.72306 ... 3.5 S R40D63\n", - "J125913.0+484137 194.80438 2.0 48.69371 ... 3.6 C R40D63\n", - "J125910.1+484128 194.79247 2.0 48.6912 ... 3.6 M R40D63\n", - "J125745.0+484122 194.43791 2.6 48.6896 ... 3.8 S R40D63\n", - "J125804.9+483540 194.52043 2.5 48.59471 ... 3.8 S R40D63\n", - "J125824.0+483052 194.60025 2.1 48.51469 ... 3.8 S R40D63\n", - "J125746.9+485451 194.44542 2.1 48.91419 ... 3.5 M R40D63\n", - "J125729.6+484011 194.37334 2.4 48.66982 ... 3.8 S R40D63" + "J130945.9+500724 197.44145 2.1 50.1236 ... 2.2 S R40D64" ] }, - "execution_count": 316, + "execution_count": 168, "metadata": {}, "output_type": "execute_result" } @@ -1935,7 +1913,7 @@ }, { "cell_type": "code", - "execution_count": 317, + "execution_count": 169, "metadata": {}, "outputs": [], "source": [ @@ -1944,7 +1922,7 @@ }, { "cell_type": "code", - "execution_count": 318, + "execution_count": 170, "metadata": {}, "outputs": [], "source": [ @@ -1953,7 +1931,7 @@ }, { "cell_type": "code", - "execution_count": 319, + "execution_count": 171, "metadata": {}, "outputs": [], "source": [ @@ -1962,90 +1940,64 @@ }, { "cell_type": "code", - "execution_count": 320, + "execution_count": 172, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([ 0, 19, 19, 19, 0, 19, 347, 347, 363, 359, 479, 479, 479,\n", - " 496, 496, 542, 92, 92, 92, 92, 92, 97, 92, 137, 144, 7,\n", - " 7, 92, 7, 0, 7, 92, 92, 94, 97, 137, 137, 137, 92,\n", - " 92, 94, 137, 144, 144, 137, 0, 19, 7, 2, 347, 43, 27,\n", - " 71, 71, 92, 115, 152, 152, 152, 162, 188, 192, 210, 214, 137,\n", - " 137, 144, 144, 152, 144, 152, 290, 290, 290, 290, 295, 295, 341,\n", - " 341, 341, 341, 341, 341, 365, 391, 421, 359, 363, 363, 479, 523,\n", - " 632, 633, 633, 633, 643, 766, 846, 542, 542, 542, 859, 856, 856,\n", - " 856, 856, 856, 860, 867, 863, 867, 855, 854, 855, 855, 863, 836,\n", - " 854, 836, 742, 742, 742, 843, 850, 749, 742, 742, 742, 850, 850,\n", - " 850, 850, 749, 749, 855, 843, 843, 856, 856, 860, 860, 863, 836,\n", - " 867, 867, 867, 836, 836, 867, 855, 836])" + "array([ 22, 36, 37, 253, 289, 310, 448, 556, 1091, 1153, 1201,\n", + " 1245, 1277, 1309, 1328, 1477, 1787, 1804, 1845, 1855, 1906, 1932,\n", + " 1950, 2036, 2069, 2109, 2139, 2226, 2330, 2351, 2404, 2539, 2613,\n", + " 2613, 2685, 2706, 2706, 2708, 2748, 2751, 2817, 2860, 2913, 2913,\n", + " 2918, 2928, 3006, 3070, 3072, 3202, 3216, 3239, 3283, 3283, 3326,\n", + " 3367, 3423, 3436, 3470, 3497, 3523, 3527, 3545, 3549, 3706, 3706,\n", + " 3765, 3791, 3853, 3873, 3930, 3951, 3951, 4001, 4073, 4117, 4151,\n", + " 4299, 4355, 4367, 4423, 4443, 4456, 4606, 4632, 4662, 4730, 4741,\n", + " 4750, 4785, 4855, 4971, 4972, 4972, 4972, 4982, 5125, 5207, 5361,\n", + " 5420, 5420, 5444, 5462, 5464, 5552, 5563, 5602, 5640, 5682, 5701,\n", + " 5708, 5732, 5736, 5761, 5802, 5821, 5916, 5923, 5959, 6042, 6104,\n", + " 6174, 6194, 6199, 6216, 6246, 6255, 6403, 6428, 6455, 6462, 6478,\n", + " 6513, 6526, 6617, 6661, 6661, 6762, 6876, 6934, 6936, 7000, 7048,\n", + " 7049, 7052, 7052, 7068, 7131, 7135, 7137, 7196])" ] }, - "execution_count": 320, + "execution_count": 172, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "lotts_idx" + "lotss_idx" ] }, { "cell_type": "code", - "execution_count": 321, + "execution_count": 176, "metadata": {}, "outputs": [ { "data": { + "image/png": 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2.08759161e-04, 6.60995824e-04,\n", - " 2.40261070e-01, 1.74917628e-01, 1.39868349e-01, 2.59559741e-04,\n", - " 2.45149987e-03, 7.77544633e-04, 3.01720091e-04, 5.18079341e-04,\n", - " 6.86687857e-01, 6.79373927e-01, 5.45128039e-01, 6.35023384e-01,\n", - " 8.26495595e-01, 4.72373812e-01, 3.89031279e-01, 7.18973084e-01,\n", - " 7.20074429e-01, 9.93163520e-01, 3.70901887e-01, 3.39178023e-01,\n", - " 6.52368083e-01, 3.90759240e-01, 5.47357314e-01, 7.00489040e-01,\n", - " 8.65805558e-01, 8.51125278e-01, 7.47355711e-01, 5.81785827e-04,\n", - " 8.95673592e-04, 1.27564750e-03, 2.05161551e-01, 2.10317027e-01,\n", - " 1.36020199e-01, 3.01313090e-01, 3.81410701e-05, 4.51673746e-04,\n", - " 8.39313625e-03, 7.44624521e-04, 9.78919231e-03, 4.28781616e-04,\n", - " 2.79037021e-04, 1.92430232e-03, 3.59793632e-01, 1.05784239e-01,\n", - " 9.68858003e-02, 6.10500125e-04, 2.61095718e-01, 2.10849018e-01,\n", - " 4.86683790e-01, 2.92542488e-01, 4.38721016e-01, 4.77617604e-01,\n", - " 1.25134894e-01, 1.98224070e-01, 1.41910878e-01, 1.53443632e-01,\n", - " 1.64804739e-01, 2.47126827e-01, 3.98359338e-01, 3.20441746e-01,\n", - " 3.80073277e-01, 4.41885716e-01, 5.66664389e-01, 2.17720021e-01,\n", - " 5.00652775e-01, 4.40056167e-01, 3.33563981e-01, 2.83881250e-01,\n", - " 4.59177942e-01, 7.30574983e-01, 7.15503186e-01, 9.22780798e-01,\n", - " 4.52006090e-01, 4.78463264e-01, 5.44002448e-01, 6.41372919e-01,\n", - " 7.98192327e-01, 8.82359134e-01, 7.14836838e-01, 9.62484901e-01,\n", - " 9.74015278e-01, 7.67051599e-01, 9.86158935e-01, 9.82541860e-01,\n", - " 9.46042730e-01, 6.91797811e-01, 8.08884860e-01, 7.08798937e-01,\n", - " 7.80321137e-01, 7.87147148e-01, 9.32221249e-01, 9.69447488e-01,\n", - " 1.00450844e+00, 7.72663115e-01, 9.76014245e-01])" + "
" ] }, - "execution_count": 321, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ - "dist_2d.to(u.deg).value" + "fig, ax = plt.subplots()\n", + "ax.plot(lotss_table[lotss_idx][\"Total_flux\"], tgss_table[\"Sint\"], \"k.\");\n", + "ax.set_aspect('auto')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "*TODO* Make this cross-match somewhat more realistic." ] }, { @@ -2064,7 +2016,7 @@ }, { "cell_type": "code", - "execution_count": 327, + "execution_count": 177, "metadata": {}, "outputs": [], "source": [ @@ -2073,7 +2025,7 @@ }, { "cell_type": "code", - "execution_count": 328, + "execution_count": 178, "metadata": {}, "outputs": [], "source": [ @@ -2082,55 +2034,7 @@ }, { "cell_type": "code", - "execution_count": 329, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: W27: None:3:213: W27: COOSYS deprecated in VOTable 1.2 [astropy.io.votable.tree]\n", - "WARNING: W03: None:3:248: W03: Implicitly generating an ID from a name 'INPUT:POS' -> 'INPUT_POS' [astropy.io.votable.xmlutil]\n", - "WARNING: W06: None:3:248: W06: Invalid UCD 'pos.eq': Secondary word 'pos.eq' is not valid as a primary word [astropy.io.votable.tree]\n", - "WARNING: W03: None:3:430: W03: Implicitly generating an ID from a name 'INPUT:SIZE' -> 'INPUT_SIZE' [astropy.io.votable.xmlutil]\n", - "WARNING: W03: None:3:584: W03: Implicitly generating an ID from a name 'INPUT:INTERSECT' -> 'INPUT_INTERSECT' [astropy.io.votable.xmlutil]\n", - "WARNING: W48: None:3:747: W48: Unknown attribute 'value' on OPTION [astropy.io.votable.tree]\n", - "WARNING: W48: None:3:799: W48: Unknown attribute 'value' on OPTION [astropy.io.votable.tree]\n", - "WARNING: W48: None:3:847: W48: Unknown attribute 'value' on OPTION [astropy.io.votable.tree]\n", - "WARNING: W48: None:3:897: W48: Unknown attribute 'value' on OPTION [astropy.io.votable.tree]\n", - "WARNING: W03: None:3:982: W03: Implicitly generating an ID from a name 'INPUT:FORMAT' -> 'INPUT_FORMAT' [astropy.io.votable.xmlutil]\n", - "WARNING: W03: None:3:1124: W03: Implicitly generating an ID from a name 'INPUT:RESPONSEFORMAT' -> 'INPUT_RESPONSEFORMAT' [astropy.io.votable.xmlutil]\n", - "WARNING: W48: None:3:1287: W48: Unknown attribute 'value' on OPTION [astropy.io.votable.tree]\n", - "WARNING: W48: None:3:1346: W48: Unknown attribute 'value' on OPTION [astropy.io.votable.tree]\n", - "WARNING: W48: None:3:1413: W48: Unknown attribute 'value' on OPTION [astropy.io.votable.tree]\n", - "WARNING: W48: None:3:1519: W48: Unknown attribute 'value' on OPTION [astropy.io.votable.tree]\n", - "WARNING: W48: None:3:1582: W48: Unknown attribute 'value' on OPTION [astropy.io.votable.tree]\n", - "WARNING: W48: None:3:1670: W48: Unknown attribute 'value' on OPTION (suppressing further warnings of this type...) [astropy.io.votable.tree]\n", - "WARNING: W03: None:3:3399: W03: Implicitly generating an ID from a name 'INPUT:MAXREC' -> 'INPUT_MAXREC' [astropy.io.votable.xmlutil]\n", - "WARNING: W03: None:3:3559: W03: Implicitly generating an ID from a name 'INPUT:VERB' -> 'INPUT_VERB' [astropy.io.votable.xmlutil]\n", - "WARNING: W06: None:3:5843: W06: Invalid UCD 'POS_EQ_RA_MAIN': Unknown word 'POS_EQ_RA_MAIN' [astropy.io.votable.tree]\n", - "WARNING: W06: None:3:6015: W06: Invalid UCD 'POS_EQ_DEC_MAIN': Unknown word 'POS_EQ_DEC_MAIN' [astropy.io.votable.tree]\n", - "WARNING: W06: None:3:6344: W06: Invalid UCD 'INST_ID': Unknown word 'INST_ID' [astropy.io.votable.tree]\n" - ] - }, - { - "data": { - "text/plain": [ - "'Download the TGSS Alternative Data Release mosaic images (5 deg\\nsquare mosaics).'" - ] - }, - "execution_count": 329, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tgss_service.description" - ] - }, - { - "cell_type": "code", - "execution_count": 330, + "execution_count": 179, "metadata": {}, "outputs": [ { @@ -2151,7 +2055,7 @@ }, { "cell_type": "code", - "execution_count": 331, + "execution_count": 180, "metadata": {}, "outputs": [ { @@ -2166,7 +2070,7 @@ " dtype=object)" ] }, - "execution_count": 331, + "execution_count": 180, "metadata": {}, "output_type": "execute_result" } @@ -2177,7 +2081,7 @@ }, { "cell_type": "code", - "execution_count": 332, + "execution_count": 181, "metadata": {}, "outputs": [ { @@ -2201,7 +2105,7 @@ }, { "cell_type": "code", - "execution_count": 333, + "execution_count": 182, "metadata": {}, "outputs": [], "source": [ @@ -2210,7 +2114,7 @@ }, { "cell_type": "code", - "execution_count": 334, + "execution_count": 183, "metadata": {}, "outputs": [ { @@ -2219,7 +2123,7 @@ "'https://vo.astron.nl/getproduct/hetdex/data/low-mosaics/P34Hetdex06-low-mosaic.fits'" ] }, - "execution_count": 334, + "execution_count": 183, "metadata": {}, "output_type": "execute_result" } @@ -2230,7 +2134,7 @@ }, { "cell_type": "code", - "execution_count": 335, + "execution_count": 184, "metadata": {}, "outputs": [], "source": [ @@ -2239,7 +2143,7 @@ }, { "cell_type": "code", - "execution_count": 336, + "execution_count": 185, "metadata": {}, "outputs": [ { @@ -2270,7 +2174,7 @@ }, { "cell_type": "code", - "execution_count": 337, + "execution_count": 186, "metadata": {}, "outputs": [], "source": [ @@ -2279,7 +2183,7 @@ }, { "cell_type": "code", - "execution_count": 338, + "execution_count": 187, "metadata": {}, "outputs": [], "source": [ @@ -2288,7 +2192,7 @@ }, { "cell_type": "code", - "execution_count": 339, + "execution_count": 188, "metadata": {}, "outputs": [ { @@ -2306,7 +2210,7 @@ "NAXIS : 2520 2520" ] }, - "execution_count": 339, + "execution_count": 188, "metadata": {}, "output_type": "execute_result" } @@ -2317,7 +2221,7 @@ }, { "cell_type": "code", - "execution_count": 391, + "execution_count": 189, "metadata": {}, "outputs": [], "source": [ @@ -2339,6 +2243,26 @@ " return ax" ] }, + { + "cell_type": "code", + "execution_count": 193, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_lotss(tgss_dots=True, lotss_dots=True, lotss_flux_min=10);" + ] + }, { "cell_type": "code", "execution_count": 392,