Skip to main content

Compute equilibrium and time-dependent popluation level densities

Project description

for multi-level species. The level populations can be used to compute
cooling function. Frigus allow for computing cooling functions
parameterized by gas density, kinetic temperature and radiation
temperatures.
Home-page: https://github.com/mherkazandjian/frigus
Author: Carla Maria Coppola
Author-email: carla.coppola@uniba.it
License: UNKNOWN
Download-URL: https://github.com/mherkazandjian/frigus/archive/master.zip
Description-Content-Type: UNKNOWN
Description: [![Build Status](https://travis-ci.org/mherkazandjian/frigus.svg?branch=master)](https://travis-ci.org/mherkazandjian/frigus)

FRIGUS
======

Package for computing the equilibrium and time-dependent level populations of
species. The level populations are used to compute the cooling function that
are parametrized in terms of the gas density and the kinetic and radiation
temperatures.

Obtaining
---------

https://github.com/mherkazandjian/frigus

Installation
------------

There are several way for installing frigus. For users the easiest way
is to install ``Frigus`` through ``pip`` via:

pip install frigus


Tests
-----

The tests can be run by executing

make test

in the directory ``src/python``.

Input data
----------

The species data are located in the ``data`` directory. Each subdirectory
correspends to a certain set of data. The sub-directories ``data/two_levels_1``
and ``data/three_levels_1`` can be used as tempates to construct datasets for
sophisticated species.



Keywords: physics,ism,radiative transfer,cooling,heating,collisional reaction rates
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Documentation
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: System :: Installation/Setup
Classifier: Topic :: System :: Software Distribution

Project details


Download files

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

Source Distribution

frigus-4.0.1.tar.gz (3.7 MB view details)

Uploaded Source

Built Distribution

frigus-4.0.1-py2.py3-none-any.whl (3.9 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file frigus-4.0.1.tar.gz.

File metadata

  • Download URL: frigus-4.0.1.tar.gz
  • Upload date:
  • Size: 3.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for frigus-4.0.1.tar.gz
Algorithm Hash digest
SHA256 39f7557e2472956b1ff944dd1d932de6c42c6a7d72229614b91bb93aa0b426f5
MD5 cd6c10a2d0c47fc1d0748344ff1710ea
BLAKE2b-256 36b7c39744f51288a55a8dfcb7196502c7391c0af284f1700306b1aa4297d546

See more details on using hashes here.

File details

Details for the file frigus-4.0.1-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for frigus-4.0.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 ce7c8c93e548e9fed3d440d0814810f61ba2602476607e47ff9abd139fcaf863
MD5 7abfa80516b49d2b4c662b8550d09aae
BLAKE2b-256 bb0a7cbcef55fe59dce27641c83a82ae6da1d68b0ed6df7f9f5b4ba84691d922

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