Contributed material


Morisset created  pyCloudy. This allows you to

  • Define and write input file(s) for Cloudy code. As you can have it in a code, you may generate automatically sets of input files, changing parameters from one to the other.
  • Read the Cloudy output files and play with the data: you will be able to plot line emissivity ratio vs. the radius of the nebula, the electron temperature, or any Cloudy output.
  • Build pseudo-3D models, a la Cloudy_3D. This means: run a set of models, changing parameters (e.g. inner radius, density) following angular laws, read the outputs of the set of models and interpolate the results (Te, ne, line emissivities) in a 3D cube.

They have a  discussion forum to answer questions.

Morisset and Stasinska created  Cloudy 3D. This uses IDL scripts to drive Cloudy as a subprogram and create simulations of complex geometries.


Wang Ye's helper scripts are given  here.

Kyujin Kwak's grids of radiation fields from turbulent mixing layer simulations, suitable for use in the interpolate command, are  here.


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