(c) 2007-2022 Carlos Pascual-Izarra

email: < cpascual [AT] users.sourceforge.net >

Home page: https://github.com/cpascual/PAScual

PAScual and all its dependencies can be installed simply by running the following in a terminal of a system where Python >=3.7 is installed:

pip install PAScual

However, I strongly recommend installing it in some sort of virtual python environment.

For example, you can use venv, but my preferred choice is using mamba. For this, first install mamba and then, on a terminal, run:

mamba create -c conda-forge -n PAScual pythonqwt pyqt numpy scipy

mamba activate PAScual

pip install PAScual

Note: Using other conda implementations such as Anaconda is also possible, but I found mamba a lot faster. Replace mamba by conda if you are using Anaconda or miniconda instead of mamba.

Note If you intend to use PAScual in text mode, you may want to also install matplotlib to produce plots.

Note: if you installed PAScual in a virtual environment (as recommended), make sure to activate the environment before continuing (i.e., in your current terminal, run mamba activate PAScual or equivalent)

Once installed, just run the following command to get the graphical application:

pascual

And I recommend to try the tutorial from the User Manual (some example spectra are provided in the examples dir)

PLEASE give credit:

If you use PAScual, acknowledge it by citing, at least:

C. Pascual-Izarra et al., Advanced Fitting Algorithms for Analysing Positron Annihilation Lifetime Spectra, Nuclear Instruments and Methods A, 603, p456-466 (2009) (DOI: 10.1016/j.nima.2009.01.205)

See CREDITS.txt for acknowledgements to third parties.

Also note its license: PAScual is Free Software but certain conditions apply (see LICENSE.TXT). If you want to request modifications of PAScual, please contact the author. If you modify PAScual, please communicate the modifications to the author so that they can be incorporated in future versions.