py3nj
A small python library to calcluate wigner's 3j-, 6j- and 9j- symbols.
py3nj is designed to be compatible with numpy's np.ndarray and
its calculation is vectorized automatically.
Basic Usage
The basic interfaces are py3nj.wigner3j, py3nj.wigner6j,
py3nj.wigner9j, and py3nj.clebsch_gordan.
>>> # Calculate (0/2, 1/2, 1/2,
... # (0/2, 1/2,-1/2)
... # Note that all the arguments should be doubled
... py3nj.wigner3j(0, 1, 1,
... 0, 1,-1)
0.7071067811865476
>>> # vectorization is supported
... py3nj.wigner3j([0, 2], [1, 0], [ 1, 0],
... [0, 0], [1, 0], [-1, 0])
array([0.70710678, 0. ])
>>> # 6J symbol
>>> py3nj.wigner6j([2, 1], [1, 2], [1, 1],
... [1, 2], [2, 1], [0, 0])
array([0.40824829, 0.40824829])
>>> # 9J symbol
>>> py3nj.wigner9j([2, 2], [4, 4], [2, 2],
... [2, 4], [2, 6], [2, 2],
... [2, 2], [2, 4], [2, 2])
array([0.05555556, 0.03651484])
>>> Clebsch Gordanh coefficient
>>> py3nj.clebsch_gordan(2, 2, 4,
... 2, 0, 2)
0.7071067811865475
>>> # Vectorized calcluation of C.G. coef
... py3nj.clebsch_gordan([2, 1], [2, 1], [4, 0],
... [2,-1], [0, 1], [2, 0])
array([ 0.70710678, -0.70710678])
Install
py3nj can be installed through either pip or github repository. You'll
likely need to have ninja installed.
Install by pip
pip install py3nj
Install through github
git clone https://github.com/fujiisoup/py3nj
cd py3nj
pip install .
Acknowledgement
py3nj wraps slatec fortran implementation. See http://www.netlib.org/slatec/ for the details.
License
Copyright 2018, py3nj Developers
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
Metadata
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