PYthon tools for SImulation and CAlculus
Project description
Introduction
This package contains a collection of tools developed for some specific simulation and calculus tasks in the fields of cold plasma processes, as well as thin-film and surface characterization.
Package structure
In the following, the modules and subpackages are listed. Additional documentation is available in the docstrings of each module and subpackage.
constants (module)
Contains some physical constants used in various modules and packages.
parameters (module)
Contains some parameters used in various modules and packages.
analysis (package)
Contains some modules to manage distribution functions and data histograms.
- univariate (module)
tools for the statistical analysis of univariate samples;
- bivariate (module)
tools for the statistical analysis of bivariate samples;
- spectra (module)
- tools for the analysis of different types of spectra, whith a special focus on:
optical data (e.g. transmission spectra) of thin films;
surface morphology data (e.g. surface roughness analysis).
fortran (package)
Contains some general purpose modules compiled from Fortran using f2py.
- fmathematics (module)
contains some general purpose mathematical functions used in other modules and compiled from fortran to improve speed.
functions (package)
Contains some general purpose functions.
io (package)
Contains some tools for input-output management.
- io_files (module)
contains some tools to operate on files;
- io_screen (module)
contains some tools to operate on the screen.
managers (package)
Contains some modules and packages used to manage input/output of data from/to ascii files, to print physical quantities managing the unit prefixes, and to plot data by means of the gnuplot program.
- data_manager (module)
tools to manage data reading and writing from files;
- unit_manager (module)
tools to manage the output of numerical data with automatic managment of unit prefixies;
- gnuplot_manager (package)
a package to facilitate the use of gnuplot inside python [1].
plasmapro (package)
A package containing tools for the simulation of plasma discharges.
- ccpla
a script to simulate a ccp cold plasma discharge by means of the PIC-MC (1d3v) technique;
- ccpla_analysis
a module containing tools to analyze the output data from ccpla.
Installing and importing pysica
Dependancies
This package depends heavily on numpy and matplotlib, while some specific modules and packages depend on scipy also. Some packages make use of tkinter and of the gnuplot progam, but they should work also without it, although without some features.
How to install
pysica is distribuited as a pypi wheel so, if you have pip installed on your system, you can simply type at the console:
$ pip install pysica
In some linux distributions (e.g. Debian-related ones) you will have to install the package inside a python virtual environment, since the operative system doesn’t allow pip to install software in the main file hierarchy. You can find instructions on how to create a virtual environment here.
Note
The package has been developed and tested for use in linux. Some subpackages could probably be used under other systems also, but they have not been tested on them and there is no guarantee that they would work.
Note
The modules compiled from Fortran are linux libraries (’.so’ files): if you want to use them in another operating system you need to recompile them using the f2py program and a Fortran compiler. The directories named fortran contain the Fortran source files, the compiled modules and the scripts used for the compilation (the name of which always start with ‘f2py’), but the options used in the scripts to call f2py are specific for linux and the gnu95 Fortran compiler.
How to import
Once installed, you can import pysica using the import directive as usual:
>>> import pysica
Or you can import a single mudule or package that you need, such as:
>>> from pysica.managers import gnuplot_manager
or
>>> from pysica.analysis import spectra
Documentation
Documentation about the modules and packages is available in the docstrings. Additional documentation can be found in the doc directory of the GitHub repository.
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