# 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](https://www.python.org/) >=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](https://docs.python.org/3/library/venv.html), but my
preferred choice is using [mamba](https://mamba.readthedocs.io). For this, first
[install mamba](https://mamba.readthedocs.io/en/latest/installation.html) 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](https://www.anaconda.com) 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](http://cpascual.github.io/PAScual/User%20Manual.html) (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.
Raw data
{
"_id": null,
"home_page": "https://github.com/cpascual/PAScual",
"name": "PAScual",
"maintainer": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"keywords": "science PALS PAS positron annihilation fit",
"author": "Carlos Pascual-Izarra",
"author_email": "cpascual@users.sourceforge.net",
"download_url": "",
"platform": null,
"description": "# PAScual: a Positron Annihilation Spectroscopy data analysis program.\n\n(c) 2007-2022 Carlos Pascual-Izarra\n\nemail: < cpascual [AT] users.sourceforge.net >\n\nHome page: https://github.com/cpascual/PAScual\n\n\n## Installation instructions for PAScual\n\nPAScual and all its dependencies can be installed simply by running the following in a terminal of a system where [Python](https://www.python.org/) >=3.7 is installed:\n\n```\npip install PAScual\n```\n\nHowever, **I strongly recommend installing it in some sort of virtual python environment**.\n\nFor example, you can use [venv](https://docs.python.org/3/library/venv.html), but my \npreferred choice is using [mamba](https://mamba.readthedocs.io). For this, first \n[install mamba](https://mamba.readthedocs.io/en/latest/installation.html) and then, \non a terminal, run: \n\n```\nmamba create -c conda-forge -n PAScual pythonqwt pyqt numpy scipy\n\nmamba activate PAScual\n\npip install PAScual\n```\n\n> **Note**: Using other conda implementations such as [Anaconda](https://www.anaconda.com) is also possible, but I found mamba **a lot** faster. Replace `mamba` by `conda` if you are using Anaconda or miniconda instead of mamba.\n\n> **Note** If you intend to use PAScual **in text mode**, you may want to also install `matplotlib` to produce plots.\n\n\n## Running PAScual\n\n\n> **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)\n\n\nOnce installed, just run the following command to get the graphical application:\n\n```\npascual\n```\n\nAnd I recommend to try the tutorial from the [User Manual](http://cpascual.github.io/PAScual/User%20Manual.html) (some example spectra\nare provided in the examples dir)\n\n\n# Important:\n\n**PLEASE give credit:**\n\nIf you use PAScual, acknowledge it by citing, at least:\n\nC. Pascual-Izarra et al.,\nAdvanced Fitting Algorithms for Analysing Positron Annihilation Lifetime Spectra,\nNuclear Instruments and Methods A, 603, p456-466 (2009)\n(DOI: 10.1016/j.nima.2009.01.205)\n\nSee CREDITS.txt for acknowledgements to third parties.\n\nAlso note its license: PAScual is Free Software but certain conditions apply\n(see LICENSE.TXT).\nIf you want to request modifications of PAScual, please contact the author.\nIf you modify PAScual, please communicate the modifications to the author so\nthat they can be incorporated in future versions.\n\n\n\n\n",
"bugtrack_url": null,
"license": "GPLv3",
"summary": "Positron Annihilation Spectroscopy data analysis",
"version": "3.0.3",
"split_keywords": [
"science",
"pals",
"pas",
"positron",
"annihilation",
"fit"
],
"urls": [
{
"comment_text": "",
"digests": {
"md5": "58e72d6ba3a9f2f2b44c031b16876b49",
"sha256": "8be7034a1517b20bc61df50eaa2873ffe053b407acee494ad48de9a24b85e232"
},
"downloads": -1,
"filename": "PAScual-3.0.3-py3-none-any.whl",
"has_sig": false,
"md5_digest": "58e72d6ba3a9f2f2b44c031b16876b49",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 230484,
"upload_time": "2022-12-26T02:07:21",
"upload_time_iso_8601": "2022-12-26T02:07:21.595158Z",
"url": "https://files.pythonhosted.org/packages/70/af/9dae1e94c297271c863e0fc2201bc02cbdb805cc1fde24060ef180286104/PAScual-3.0.3-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2022-12-26 02:07:21",
"github": true,
"gitlab": false,
"bitbucket": false,
"github_user": "cpascual",
"github_project": "PAScual",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "pascual"
}
JSON
