ParametrizedVisibleEdgesExtrapolator
- class pyirf.interpolation.ParametrizedVisibleEdgesExtrapolator(grid_points, params, m=1)[source]
Bases:
ParametrizedNearestSimplexExtrapolator
Extrapolator using blending over visible edges.
While the ParametrizedNearestSimplexExtrapolator does not result in a smooth extrapolation outside of the grid due to using only the nearest available simplex, this extrapolator blends over all visible edges as discussed in [1]. For one grid-dimension this is equal to the ParametrizedNearestSimplexExtrapolator, the same holds for grids consisting of only one simplex or constellations, where only one simplex is visible from a target.
- Parameters:
- grid_points: np.ndarray, shape=(N, …)
Grid points at which templates exist. May be one ot two dimensional. Have to be sorted in accending order for 1D.
- params: np.ndarray, shape=(N, …)
Array of corresponding parameter values at each point in grid_points. First dimesion has to correspond to number of grid_points
- m: non-zero int >= 1
Degree of smoothness wanted in the extrapolation region. See [1] for additional information. Defaults to 1.
- Raises:
- TypeError:
If m is not a number
- ValueError:
If m is not a non-zero integer
References
[1]P. Alfred (1984). Triangular Extrapolation. Technical summary rept., Univ. of Wisconsin-Madison. https://apps.dtic.mil/sti/pdfs/ADA144660.pdf
Methods Summary
__call__
(target_point)Providing a common __call__ interface
extrapolate
(target_point)Takes a grid of scalar values for a bunch of different parameters and extrapolates it to given value of those parameters.
Methods Documentation
- __call__(target_point)
Providing a common __call__ interface
- Parameters:
- target_point: np.ndarray, shape=(1, n_dims)
Target for extrapolation
- Returns:
- Extrapolated result.
- extrapolate(target_point)[source]
Takes a grid of scalar values for a bunch of different parameters and extrapolates it to given value of those parameters.
- Parameters:
- target_point: numpy.ndarray, shape=(1, n_dims)
Value for which the extrapolation is performed (target point)
- Returns:
- values: numpy.ndarray, shape=(1,…)
Extrapolated values