Skip to main content

Positron Annihilation Spectroscopy data analysis

Project description

PAScual: a Positron Annihilation Spectroscopy data analysis program.

(c) 2007-2022 Carlos Pascual-Izarra

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

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

Installation instructions for 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.

Running PAScual

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)

Important:

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

PAScual-3.0.0-py3-none-any.whl (231.9 kB view details)

Uploaded Python 3

File details

Details for the file PAScual-3.0.0-py3-none-any.whl.

File metadata

  • Download URL: PAScual-3.0.0-py3-none-any.whl
  • Upload date:
  • Size: 231.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.6

File hashes

Hashes for PAScual-3.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 12cf6379741442ebb5fd98e5a77a49bea065f0827f53396315cda5bc1ada92a3
MD5 0c7dafab783f638bc19a5f3eb108f425
BLAKE2b-256 8011856ab5ab1a91e7e033c3ae05fadebf92a65ce662f32fa02b27611f1d9a84

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page