Python-based version of the Barbieri/Van Hove phase shift calculation package for LEED/XPD modelling
This package is a Python-based implementation of the Barbieri/Van Hove phase shift (phsh) calculation package needed to produce phase shifts for various LEED packages (including CLEED), as well as for certain XPD packages. To quote the original authors site:
“The phase shift calculation is performed in several steps:
- Calculation of the radial charge density for a free atom.
- Calculation of the radial muffin-tin potential for atoms embedded in a surface defined by the user (the surface is represented by a slab that is periodically repeated in 3 dimensions, within vacuum between the repeated slabs); various approximations to the exchange potential are available; relativistic effects are taken into account.
- Calculation of phase shifts from the muffin-tin potential.
- Elimination of pi-jumps in the energy dependence of the phase shifts.”
You can get the original Fortran source (& learn more about the phsh programs) from:
The phaseshifts package requires CPython 2.6 or later and also uses the numpy, scipy and periodictable packages. Unfortunately, it has only been tested extensively with Python 2.7, so your milage may vary. To perform a setup follow the steps below.
Install the numpy, scipy and periodictable packages.
On systems with PyPI this can be done using the command:pip install numpy scipy periodictable
Or if you have the easy_install package:easy_install install numpy scipy periodictable
Alternatively download and install these packages manually following the instructions provided for the respective packages.
To install the phaseshifts package:python setup.py install
With any luck the package has been installed successfully. A set of test scripts are provided, however a simple check may suffice using an interactive session of the python interpreter:>>> import phaseshifts >>> from phaseshifts import libphsh #compiled FORTRAN .pyd or .so using f2py
If these execute without errors then it is likely that all is well, but in case of problems or bugs please use the contact provided below and I will do my best to address the problem quickly.
On Windows systems it may be easier to install a scientific python distibution rather than install the dependencies from source - I use Python(x,y) with mingw (gcc & gfortran) installed, which can be found at:
About the code
The example source codes provided in this package are intended to be instructional in calculating phase shifts. While it is not recommended to use the example code in production, the code should be sufficient to explain the general use of the library.
If you aren’t familiar with the phase shift calculation process, you can read further information in doc/ folder:
- phshift2007.rst - a brief user guide/documentation concerning the input files (& details of the original fortran phshift package).
- manual.pdf - a more detailed overview of the library functions and how to calculate phase shifts using the convenience functions in this package. This is not yet finished and so the reader is referred to the above document for the time being.
For those wanting a crash course I advise reading the phsh2007.txt document. See the examples/ directory to get an idea of the structure of the input files (for a random selection of models & elements). In particular see the cluster_Ni.i file for helpful comments regarding each line of input.
Those of you who are eager to generate phase shifts - first look at the example cluster files for a bulk and slab calculation, noting that the atoms in the model are in fractional (SPA) units of the unitcell. Next, after creating a bulk and slab model in the cluster.i format, simply use the following python code:
>>> import phaseshifts as phsh >>> phsh.phaseshifts.gen_from_inputs(bulk='cluster_bulk.i', slab='cluster_slab.i')
This will hopefully produce the desired phase shift output files (at least for simple models) and works by assessing the two models to determine what output to produce. For more detailed documentation and function use refer to the pdf manual.
As with all scientific progress, we stand on the shoulders of giants. If this package is of use to you in publishing papers then please acknowledge the following people who have made this package a reality:
- A. Barbieri and M.A. Van Hove - who developed most of the original fortran code. Use A. Barbieri and M.A. Van Hove, private communication. (see doc/phsh2007.txt for further details).
- E.L. Shirley - who developed part of the fortran code during work towards his PhD thesis (refer to the thesis: E.L. Shirley, “Quasiparticle calculations in atoms and many-body core-valence partitioning”, University of Illinois, Urbana, 1991).
- Christoph Gohlke - who developed the elements.py module used extensively throughout for the modelling convenience functions (see ‘elements.py’ for license details).
I would also be grateful if you acknowledge this python package (phaseshifts) as: L.M. Deacon, private communication.
I wish to personally add a heartfelt thanks to both Eric Shirley and Michel Van Hove who have kindly allowed the use of their code in the libphsh.f file needed for the underlying low-level functions in this package.
This package is developed/maintained in my spare time so any bug reports, patches, or other feedback are very welcome and should be sent to: firstname.lastname@example.org
The project is in the early developmental stages and so anyone who wishes to get involved are most welcome (simply contact me using the email above).
- Full implementation of python convenience functions and classes to easily generate phase shift output files.
- Documentation - the manual has not yet been started and so is a high priority after No. 1. The current aim is to use sphinx to generate html and latex documents for semi-automated generation of both the tutorial and supporting website.
- Test suit to verify the package is worked as expected.
- GUI frontend (Qt ui files are provided in the gui/ directory for anyone wishing to undertake this challenge). Other frontends are welcome (I use Qt due to familiarity/experience).
See TODO.rst for more information.