skip to navigation
skip to content

DESPOTIC 2.0

a Python / numPy / sciPy package to perform calculations related to line emission and thermal behavior in cold interstellar clouds.

DESPOTIC is a library to Derive the Energetics and SPectra of Optically Thick Interstellar Clouds. Its capabilities include calculating spectral line luminosities from clouds of specified physical properties and compositions, predicting line profiles, calculating rates of heating and cooling due to a wide range of processes, determining clouds’ equilibrium gas and dust temperatures, and calculating time-dependent thermal evolution of clouds.

DESPOTIC is implemented as a Python package, and is released under the GPL. The physical model, equations, solved, and some tests and example applications are described in [Krumholz (2014)](http://adsabs.harvard.edu/abs/2014MNRAS.437.1662K), and an extensive [User’s Guide](https://bitbucket.org/krumholz/despotic/downloads/UsersGuide.pdf) is available, and is included with the download.

Documentation

Full documentation for DESPOTIC is hosted at [readthedocs](http://despotic.readthedocs.org/).

Downloading DESPOTIC

DESPOTIC is distributed in two ways. The full source distribution, including example Python programs using it and sample cloud descriptor files, is available from

[bitbucket](https://bitbucket.org/krumholz/despotic/)

and can be obtained via git by doing

git clone git@bitbucket.org:krumholz/despotic.git

Despotic is also available through the [python package index](https://pypi.python.org/pypi/DESPOTIC). If you have pip installed, you can just type

pip install despotic

The tarball may also be downloaded from PyPi and installed using the standard Python distutils method.

 
File Type Py Version Uploaded on Size
DESPOTIC-2.0.macosx-10.11-x86_64.tar.gz (md5)
built for Darwin-15.2.0
"dumb" binary 2.7 2015-12-20 233KB
DESPOTIC-2.0.tar.gz (md5) Source 2015-12-20 164KB
  • Downloads (All Versions):
  • 11 downloads in the last day
  • 121 downloads in the last week
  • 748 downloads in the last month