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epassaro/si_duplicates.ipynb

Created January 15, 2020 20:06
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si_duplicates.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/epassaro/miniconda3/envs/carsus/lib/python3.6/importlib/_bootstrap.py:219: QAWarning: pyne.data is not yet QA compliant.\n",
" return f(*args, **kwds)\n",
"/home/epassaro/miniconda3/envs/carsus/lib/python3.6/site-packages/tardis/io/util.py:14: TqdmExperimentalWarning: Using `tqdm.autonotebook.tqdm` in notebook mode. Use `tqdm.tqdm` instead to force console mode (e.g. in jupyter console)\n",
" from tqdm.autonotebook import tqdm\n"
]
}
],
"source": [
"from carsus.io.kurucz import GFALLReader"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[\u001b[1mcarsus.io.kurucz.gfall\u001b[0m][\u001b[1;33mWARNING\u001b[0m] A specific combination to identify unique levels from the gfall data has not been given. Defaulting to [\"energy\", \"j\"]. (\u001b[1mgfall.py\u001b[0m:75)\n"
]
}
],
"source": [
"reader = GFALLReader('gfall_old.dat')"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [],
"source": [
"mask = reader.levels.reset_index().set_index(['atomic_number', 'ion_charge']).loc[(14,3)]['label'].str.startswith('3s2')"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"data": {
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" <td>meas</td>\n",
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" <th>0</th>\n",
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" <td>theor</td>\n",
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" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>802 rows × 6 columns</p>\n",
"</div>"
],
"text/plain": [
" level_index energy j label method \\\n",
"atomic_number ion_charge \n",
"14 0 0 0.000 0.0 3p2 3P meas \n",
" 0 1 77.115 1.0 3p2 3P meas \n",
" 0 2 223.157 2.0 3p2 3P meas \n",
" 0 3 6298.850 2.0 3p2 1D meas \n",
" 0 4 15394.370 0.0 3p2 1S meas \n",
" 0 5 33326.053 2.0 s3p3 5S meas \n",
" 0 6 39683.163 0.0 p4s 3P meas \n",
" 0 7 39760.285 1.0 p4s 3P meas \n",
" 0 8 39955.053 2.0 p4s 3P meas \n",
" 0 9 40991.884 1.0 p4s 1P meas \n",
" 0 10 45276.188 1.0 s3p3 3D meas \n",
" 0 11 45293.623 2.0 s3p3 3D meas \n",
" 0 12 45293.625 2.0 s3p3 3D meas \n",
" 0 13 45293.629 2.0 s3p3 3D meas \n",
" 0 14 45321.848 3.0 s3p3 3D meas \n",
" 0 15 47284.061 1.0 p4p 1P meas \n",
" 0 16 47351.554 2.0 p3d 1D meas \n",
" 0 17 48020.074 1.0 p4p 3D meas \n",
" 0 18 48102.323 2.0 p4p 3D meas \n",
" 0 19 48264.292 3.0 p4p 3D meas \n",
" 0 20 49028.294 0.0 p4p 3P meas \n",
" 0 21 49060.601 1.0 p4p 3P meas \n",
" 0 22 49188.617 2.0 p4p 3P meas \n",
" 0 23 49399.670 1.0 p4p 3S meas \n",
" 0 24 49850.830 2.0 p3d 3F meas \n",
" 0 25 49933.755 3.0 p3d 3F meas \n",
" 0 26 49933.775 3.0 p3d 3F meas \n",
" 0 27 50054.800 4.0 p3d 3F meas \n",
" 0 28 50189.389 2.0 p4p 1D meas \n",
" 0 29 50499.838 2.0 p3d 3P meas \n",
"... ... ... ... ... ... \n",
" 0 772 65995.800 2.0 53d 3F theor \n",
" 0 773 65995.800 3.0 53d 3F theor \n",
" 0 774 65995.810 0.0 53d 3P meas \n",
" 0 775 65995.810 1.0 53d 3P meas \n",
" 0 776 65995.810 2.0 53d 3P meas \n",
" 0 777 65995.810 3.0 53d 3D meas \n",
" 0 778 65997.300 2.0 54d 3F theor \n",
" 0 779 65997.300 3.0 54d 3F theor \n",
" 0 780 65997.340 0.0 54d 3P meas \n",
" 0 781 65997.340 1.0 54d 3P meas \n",
" 0 782 65997.340 2.0 54d 3P meas \n",
" 0 783 65997.340 3.0 54d 3D meas \n",
" 0 784 65998.590 0.0 55d 3P meas \n",
" 0 785 65998.590 1.0 55d 3P meas \n",
" 0 786 65998.590 2.0 55d 3P meas \n",
" 0 787 65998.590 3.0 55d 3D meas \n",
" 0 788 65998.600 2.0 55d 3F theor \n",
" 0 789 65998.600 3.0 55d 3F theor \n",
" 0 790 66000.050 0.0 56d 3P meas \n",
" 0 791 66000.050 1.0 56d 3P meas \n",
" 0 792 66000.050 2.0 56d 3P meas \n",
" 0 793 66000.050 3.0 56d 3D meas \n",
" 0 794 66000.100 2.0 56d 3F theor \n",
" 0 795 66000.100 3.0 56d 3F theor \n",
" 0 796 78185.453 2.0 s3p3 1D theor \n",
" 0 797 79664.000 1.0 s3p3 3S meas \n",
" 0 798 81724.600 1.0 4s' 5P meas \n",
" 0 799 81826.200 2.0 4s' 5P meas \n",
" 0 800 81976.160 3.0 4s' 5P meas \n",
" 0 801 82581.429 1.0 s3p3 1P theor \n",
"\n",
" priority \n",
"atomic_number ion_charge \n",
"14 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
"... ... \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
" 0 10 \n",
"\n",
"[802 rows x 6 columns]"
]
},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"reader.levels.reset_index().set_index(['atomic_number', 'ion_charge']).loc[(14,0)]"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.7"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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