Sarracen

Sarracen is a Python library for smoothed particle hydrodynamics (SPH) analysis and visualization which can directly read the native binary format of Phantom.

Docs: https://sarracen.readthedocs.io/
Repo: https://github.com/ttricco/sarracen

Examples

To read phantom data with saracen, use:

import sarracen

sdf, sdf_sinks = sarracen.read_phantom('dumpfile')

This gives you a pandas dataframe containing all the data in the snapshot. You can access individual arrays using their labels, e.g.:

sdf['vmag'] = np.sqrt(sdf['vx']**2 + sdf['vy']**2 + sdf['vz']**2)

You can easily render images using SPH interpolation similar to the functionality in SPLASH. For example, to plot column density from a 3D simulation:

sdf.render('rho')

or to plot a slice in the x-y plane with the inferno colour map, use:

sdf.render('rho',xsec=0.,cmap='inferno')

For other examples, see the documentation