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ss2dist

Ryan M. Bergmann, 2018.

Contains:

  • C++ library to read tracks from MCNP6 surface source files, create histograms, and parse some simple input files
  • Executables to create angle-dependent spatial distributions and energy spectra.
  • Plotting script 'dist2plot.py' that reads in the resulting binary outputs and plots them using matplotlib. At successful plotting, dist2plot.py also writes a MCNP sdef card based on the histograms it got from ss2dist.

Installing C++ library and and executables

Building uses cmake (>3.1). Recommended way to build (you can always use 'ccmake' instead of 'cmake' to use an interactive GUI to set install variables):

$ mkdir BUILD
$ cd BUILD
$ cmake .. -DCMAKE_INSTALL_PREFIX:PATH=[/path/where/you/want/to/install]
$ make
$ make install

Installing Python module

After the library and executables are built and installed, the Python module can be built and installed (requires ss2lib, so it must be already be installed).

$ python setup.py install

ss2dist Usage

See example inputs and scripts. Generally it goes like this:

$ ss2dist [wssa_file] [input_file]

This will produce two files, named '[surface_number]_[particle]_dist.bin' and '[surface_number]_[particle]_spec.bin' which contain the histogram data. They are then post-processed with dist2plot.py (which means the wssa files doesn't need to be read if you simply want to change some plot parameters):

$ dist2plot.py [surface_number]_[particle]_dist.bin [OPTIONS]

Where [OPTIONS] can be any combination/order of:

  • plot : Make popup plots
  • png : Write .png files for all plots
  • log : Logarithmic scale for spatial distributions
  • vmin=[number] : set the minimum value for the spatial distribution colormap
  • vmax=[number] : set the maximum value for the spatial distribution colormap
  • smooth=[integer] : number of bins to smooth over in spectral plots
  • csv : write a CSV file of the spectrum data

If all the plotting completes successfully, then the script writes a MCNP sdef card into a file named '[surface_number]_[particle].sdef'