Metadata-Version: 2.1
Name: pytalises
Version: 0.2.7
Summary: 
      TALISES (This Ain't a LInear Schrödinger Equation Solver) is an easy-to-use Python implementation
      of the Split-Step Fourier Method, for numeric calculation of a wave function's time-propagation
      under the Schrödinger equation.
Home-page: http://github.com/savowe/pytalises
Author: Sascha Vowe
Author-email: sascha.vowe@posteo.de
License: GPL v3.0
Description: [![PyPI](https://img.shields.io/pypi/v/pytalises?color=blue)](https://pypi.org/project/pytalises/)
        [![Conda Version](https://img.shields.io/conda/vn/conda-forge/pytalises?color=blue&label=conda-forge)](https://anaconda.org/conda-forge/pytalises)
        [![Build Status](https://travis-ci.com/savowe/pytalises.svg?token=nZF2LbDmAxqpxqs5m7HE&branch=master)](https://travis-ci.com/savowe/pytalises)
        [![Documentation Status](https://readthedocs.org/projects/pytalises/badge/?version=latest)](https://pytalises.readthedocs.io/en/latest/?badge=latest)
        # pyTALISES
        
        **pyTALISES** (This Ain't a LInear Schrödinger Equation Solver) is an easy-to-use Python implementation of the Split-Step Fourier Method, for numeric calculation of a wave function's time-propagation under the Schrödinger equation.
        
        ### Features
        - Calculation of a wavefunction's time propagation under a (non)linear Schrödinger equation: ![](https://latex.codecogs.com/png.latex?%5Cdpi%7B120%7D%20i%5Chbar%20%5Cfrac%7B%5Cpartial%7D%7B%5Cpartial%20t%7D%20%5CPsi%20%28%5Cvec%7Br%7D%2C%20t%29%20%3D%20%5CBig%5BV%28%5CPsi%2C%5Cvec%7Br%7D%2C%20t%29%20&plus;%20%5Cfrac%7B%5Chbar%5E2%7D%7B2m%7D%5Cnabla%5E2%20%5CBig%5D%20%5CPsi%20%28%5Cvec%7Br%7D%2C%20t%29)
        - the wave-function ![](https://latex.codecogs.com/gif.latex?%5Cdpi%7B100%7D%20%5CPsi) may include an arbitrary number of internal and external degrees of freedom
        - simple implementation of Hamiltonians
        - speed of the [FFTW](https://pypi.org/project/pyFFTW/), [BLAS](https://www.netlib.org/blas/) and [numexpr](https://numexpr.readthedocs.io/en/latest/) libaries with multithreading
        - crucial functions are just-in-time compiled with [numba](https://numba.readthedocs.io/en/stable/)
        
        ### Documentation
        Read the [documentation](https://pytalises.readthedocs.io/en/latest/) to learn more about pytalises' capabilities.
        The documentation features many examples, among others
        [2D harmonic potentials](https://pytalises.readthedocs.io/en/latest/examples.html#2D-harmonic-potential), 
        [BEC scattering](https://pytalises.readthedocs.io/en/latest/examples.html#Nonlinear-interactions-between-internal-states), 
        [three-level Raman transitions](https://pytalises.readthedocs.io/en/latest/additional_examples.html#Three-level-Raman-transitions), 
        [single-Bragg diffraction](https://pytalises.readthedocs.io/en/latest/additional_examples.html#Single-Bragg-diffraction) 
        and
        [atom interferometry](https://pytalises.readthedocs.io/en/latest/additional_examples.html#Light-pulse-atom-interferometry-with-single-Bragg-diffraction).
        
        
        
        Installing pytalises
        ====================
        **We recommend installing pytalises via conda**
        
        #### Using conda
        
        Installing `pytalises` from the `conda-forge` channel can be achieved by adding `conda-forge` to your channels with:
        
        ```
        conda config --add channels conda-forge
        ```
        
        Once the `conda-forge` channel has been enabled, `pytalises` can be installed with:
        
        ```
        conda install pytalises
        ```
        
        
        #### Using pip
        
        pytalises is available on the Python Package Index and can be installed via
        
        ```
        pip install pytalises
        ```
        
        it has dependencies via `scipy` and `numba` on BLAS and LAPACK libraries that are not always found on windows systems. For linux they can usually be located.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Physics
Requires-Python: >=3.6
Description-Content-Type: text/markdown
