HEDP module

A Python module to analyse High Energy Density (HED) experiments and radiation hydrodynamics simulations.

Installation

python setup.py develop --user

Dependencies

This module requires Python 2.7, 3.3 or 3.4 with numpy, scipy, cython, pytables and opacplot2 ( https://github.com/rth/opacplot2).

Optional dependencies include:

• matplotlib
• beautifulsoup4
• The GNU Scientific Library (GSL), required for calculating the Planck/Rosseland means
• PyEOSPAC (https://github.com/luli/pyeospac), for interfacing with the tabulated EoS
• nose, for running the test suite

List of features

File formats hedp.io

• parser for the Andor .sif image files
• parser for the Hamamatsu streak camera .img files

Equation of state (EoS) and opacities

• Kramer-Unsoldt opacity model
• generation of a database with cold henke opacities
• Thomas Fermi pressure ionization.
• Calculation of Planck and Rosseland (gray/mutigroup) means
• Automatic group selection for multigroup opacities
• General interpolators intended for visualisation for the EoS and opacity tables (requires opacplot and pyeospac modules).

Basic mathematical operators hedp.math

• Gradient for a non-informally sampled 1D or 2D data
• Savitzky-Golay filter
• Integrators for the super-gaussian functions
• Direct and inverse Abel transforms. The integration is carried out numerically with a semi-analytical handling of the singularity.

Plasma physics hedp.plasma_physics

Defines a few useful quantities in plasma physics: the critical density, Coulomb logarithm, electron-ion collision rates, inverse Bremsstrahlung coefficient, isentropic sound speed, Spitzer conductivity.

Visualization hedp.viz

• Metric formatter for matplotlib

Diagnostics hedp.diag

• intensity calibration for the self-emission GOI and SOP
• IP sensitivity curves for x-rays

Post-processing hedp.pp

• Calculation of synthetic radiographs from 2D axis-symmetrical hydrodynamic simulation with the Abel transform