openmc.EnergyFilter¶
- class openmc.EnergyFilter(values, filter_id=None)[source]¶
Bins tally events based on incident particle energy.
- Parameters
values (Iterable of Real) – A list of values for which each successive pair constitutes a range of energies in [eV] for a single bin
filter_id (int) – Unique identifier for the filter
- Variables
values (numpy.ndarray) – An array of values for which each successive pair constitutes a range of energies in [eV] for a single bin
id (int) – Unique identifier for the filter
bins (numpy.ndarray) – An array of shape (N, 2) where each row is a pair of energies in [eV] for a single filter bin
num_bins (int) – The number of filter bins
- classmethod from_group_structure(group_structure)[source]¶
Construct an EnergyFilter instance from a standard group structure.
New in version 0.13.1.
- Parameters
group_structure (str) – Name of the group structure. Must be a valid key of openmc.mgxs.GROUP_STRUCTURES dictionary.
- get_bin_index(filter_bin)[source]¶
Returns the index in the Filter for some bin.
- Parameters
filter_bin (int or tuple) – The bin is the integer ID for ‘material’, ‘surface’, ‘cell’, ‘cellborn’, and ‘universe’ Filters. The bin is an integer for the cell instance ID for ‘distribcell’ Filters. The bin is a 2-tuple of floats for ‘energy’ and ‘energyout’ filters corresponding to the energy boundaries of the bin of interest. The bin is an (x,y,z) 3-tuple for ‘mesh’ filters corresponding to the mesh cell of interest.
- Returns
filter_index – The index in the Tally data array for this filter bin.
- Return type
- get_tabular(values, **kwargs)[source]¶
Create a tabulated distribution based on tally results with an energy filter
This method provides an easy way to create a distribution in energy (e.g., a source spectrum) based on tally results that were obtained from using an
EnergyFilter
.New in version 0.13.3.
- Parameters
values (iterable of float) – Array of numeric values, typically from a tally result
**kwargs – Keyword arguments passed to
openmc.stats.Tabular
- Returns
Tabular distribution with histogram interpolation
- Return type
- property lethargy_bin_width¶
Calculates the base 10 log width of energy bins which is useful when plotting the normalized flux.
- Returns
Array of bin widths
- Return type
numpy.array