openmc.data.ContinuousTabular

class openmc.data.ContinuousTabular(breakpoints, interpolation, energy, energy_out)[source]

Continuous tabular distribution

Parameters:

  • breakpoints (Iterable of int) – Breakpoints defining interpolation regions

  • interpolation (Iterable of int) – Interpolation codes

  • energy (Iterable of float) – Incoming energies at which distributions exist

  • energy_out (Iterable of openmc.stats.Univariate) – Distribution of outgoing energies corresponding to each incoming energy

Variables:

  • breakpoints (Iterable of int) – Breakpoints defining interpolation regions

  • interpolation (Iterable of int) – Interpolation codes

  • energy (Iterable of float) – Incoming energies at which distributions exist

  • energy_out (Iterable of openmc.stats.Univariate) – Distribution of outgoing energies corresponding to each incoming energy

classmethod from_ace(ace, idx, ldis)[source]

Generate continuous tabular energy distribution from ACE data

Parameters:

  • ace (openmc.data.ace.Table) – ACE table to read from

  • idx (int) – Index in XSS array of the start of the energy distribution data (LDIS + LOCC - 1)

  • ldis (int) – Index in XSS array of the start of the energy distribution block (e.g. JXS[11])

Returns:

Continuous tabular energy distribution

Return type:

openmc.data.ContinuousTabular

classmethod from_hdf5(group)[source]

Generate continuous tabular distribution from HDF5 data

Parameters:

group (h5py.Group) – HDF5 group to read from

Returns:

Continuous tabular energy distribution

Return type:

openmc.data.ContinuousTabular

to_hdf5(group)[source]

Write distribution to an HDF5 group

Parameters:

group (h5py.Group) – HDF5 group to write to