A software suited for evaluation of Angle Resolved Photo Emission Spectroscopy (ARPES) data.
This program is an attempt to create a free and open-source way of evaluating ARPES data, since there is a general lack of software in this regard. The main core is written in Python3 and PyQT5 to ensure ease of contribution from other scientists. Some computationally demanding routines are written in FORTRAN90 to ensure high performance.
A pre-built, standalone .exe file can be found on this page. This can directly be run on any Windows 10 machine without further installation.
It is possible, that this file may be recognized as a virus, which is due to the compilation process using PyInstaller. More information on that topic can be found at this link:
Pip install is in the works!
Clone this repository using git or download it directly and extract it anywhere, e.g.
git clone https://github.com/FalconTube/ARPESsimist.git
Required python packages:
- matplotlib
- scipy
- numpy
- natsort
- PyWavelets
- h5py
- PyQt5
- pywt
All of these are installable via pip:
pip3 install -r requirements.txt
In addition, a fortran compiler (e. g. gfortran) is required to compile the f90 routines for your respective system. This compiler can be installed in the respective ways, listed below. Further information is available at https://gcc.gnu.org/wiki/GFortranBinaries.
Debian based:
sudo apt install gfortran
Arch based:
sudo pacman -S gcc-fortran
The recommended method is to use Homebrew to install the fortran compiler. If Homebrew is installed, just use:
brew install gcc
Install MinGW to make use of the fortran compiler.
In order to test your fortran installation, open a terminal and enter gfortran. If it states something like "fatal error: no input files", then you are good to go!
Open a terminal at <Your_install_location>/arpessimist/fortran_routines/ and execute compile.sh using bash compile.sh (should also work on Windows with MinGW installed. If not, extract the respective commands from the script manually).
Start the software by calling python3 start_progs.py. This will open an empty window with a file menu in its top left position. From here, you can load multiple .sp2 data or a single .nxs (hdf5 format) file.
After loading a set of data, more widgets will populate the main window, like this:
As this is still a very novel project, expect bugs to happen. The authors would be grateful, if these bugs were reported to falke@ph2.uni-koeln.de.
Additionally we are very grateful for any feature request or general comments on how to improve this project.
Due to the simple programming scheme of this work, adding more functionality in the form of python or fortran scripts can be done with ease. All contributions are always welcome!
If you want to contribute to this project, feel free to contact Yannic Falke at falke@ph2.uni-koeln.de.
Yannic Falke, II. Institute of Physics, University of Cologne
Niels Ehlen, II. Institute of Physics, University of Cologne