EnergyFunctionFilter(energy, y, filter_id=None)¶
Multiplies tally scores by an arbitrary function of incident energy.
The arbitrary function is described by a piecewise linear-linear interpolation of energy and y values. Values outside of the given energy range will be evaluated as zero.
- energy (Iterable of Real) – A grid of energy values in [eV]
- y (iterable of Real) – A grid of interpolant values in [eV]
- filter_id (int) – Unique identifier for the filter
Determine if filter can be merged with another.
Parameters: other (openmc.Filter) – Filter to compare with Returns: Whether the filter can be merged Return type: bool
Construct a new Filter instance from HDF5 data.
Parameters: group (h5py.Group) – HDF5 group to read from Keyword Arguments: meshes (dict) – Dictionary mapping integer IDs to openmc.MeshBase objects. Only used for openmc.MeshFilter objects.
Construct a filter from a Tabulated1D object.
Parameters: tab1d (openmc.data.Tabulated1D) – A linear-linear Tabulated1D object with only a single interpolation region. Returns: Return type: EnergyFunctionFilter
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: int
get_pandas_dataframe(data_size, stride, **kwargs)¶
Builds a Pandas DataFrame for the Filter’s bins.
This method constructs a Pandas DataFrame object for the filter with columns annotated by filter bin information. This is a helper method for
A Pandas DataFrame with a column that is filled with a hash of this filter. EnergyFunctionFilters have only 1 bin so the purpose of this DataFrame column is to differentiate the filter from other EnergyFunctionFilters. The number of rows in the DataFrame is the same as the total number of bins in the corresponding tally.
Determine if another filter is a subset of this filter.
If all of the bins in the other filter are included as bins in this filter, then it is a subset of this filter.
Parameters: other (openmc.Filter) – The filter to query as a subset of this filter Returns: Whether or not the other filter is a subset of this filter Return type: bool