pytalises 0.2.7

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.

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:
• the wave-function may include an arbitrary number of internal and external degrees of freedom
• simple implementation of Hamiltonians
• speed of the FFTW, BLAS and numexpr libaries with multithreading
• crucial functions are just-in-time compiled with numba

Documentation

Read the documentation to learn more about pytalises' capabilities. The documentation features many examples, among others 2D harmonic potentials, BEC scattering, three-level Raman transitions, single-Bragg diffraction and atom interferometry.

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.