openmc.data.Tabulated1D¶
-
class
openmc.data.Tabulated1D(x, y, breakpoints=None, interpolation=None)[source]¶ A one-dimensional tabulated function.
This class mirrors the TAB1 type from the ENDF-6 format. A tabulated function is specified by tabulated (x,y) pairs along with interpolation rules that determine the values between tabulated pairs.
Once an object has been created, it can be used as though it were an actual function, e.g.:
>>> f = Tabulated1D([0, 10], [4, 5]) >>> [f(xi) for xi in numpy.linspace(0, 10, 5)] [4.0, 4.25, 4.5, 4.75, 5.0]
Parameters: - x (Iterable of float) – Independent variable
- y (Iterable of float) – Dependent variable
- breakpoints (Iterable of int) – Breakpoints for interpolation regions
- interpolation (Iterable of int) – Interpolation scheme identification number, e.g., 3 means y is linear in ln(x).
Variables: - x (Iterable of float) – Independent variable
- y (Iterable of float) – Dependent variable
- breakpoints (Iterable of int) – Breakpoints for interpolation regions
- interpolation (Iterable of int) – Interpolation scheme identification number, e.g., 3 means y is linear in ln(x).
- n_regions (int) – Number of interpolation regions
- n_pairs (int) – Number of tabulated (x,y) pairs
-
classmethod
from_ace(ace, idx=0, convert_units=True)[source]¶ Create a Tabulated1D object from an ACE table.
Parameters: - ace (openmc.data.ace.Table) – An ACE table
- idx (int) – Offset to read from in XSS array (default of zero)
- convert_units (bool) – If the abscissa represents energy, indicate whether to convert MeV to eV.
Returns: Tabulated data object
Return type:
-
classmethod
from_hdf5(dataset)[source]¶ Generate tabulated function from an HDF5 dataset
Parameters: dataset (h5py.Dataset) – Dataset to read from Returns: Function read from dataset Return type: openmc.data.Tabulated1D
-
integral()[source]¶ Integral of the tabulated function over its tabulated range.
Returns: Array of same length as the tabulated data that represents partial integrals from the bottom of the range to each tabulated point. Return type: numpy.ndarray