Eikonal 2D#

class fteikpy.Eikonal2D(grid, gridsize, origin=None)[source]#

2D Eikonal solver.

Parameters:

grid (array_like) – Velocity model array.
gridsize (array_like) – Grid size (dz, dx).
origin (array_like or None, optional, default None) – Grid origin coordinates.

__call__(points, fill_value=nan)#

Bilinear interpolation.

Parameters:

points (array_like) – Query point coordinates or list of point coordinates.
fill_value (scalar, optional, default nan) – Returned value for out-of-bound query points.

Returns:

Interpolated value(s).

Return type:

scalar or np.ndarray

resample(new_shape, method='linear')#

Resample grid.

Parameters:

new_shape (array_like) – New grid shape (nz, nx).
method (str ('linear' or 'nearest'), optional, default 'linear') – Interpolation method.

smooth(sigma)#

Smooth grid.

Parameters:: sigma (scalar or array_like) – Standard deviation in meters for Gaussian kernel.

solve(sources, nsweep=2, return_gradient=False)[source]#

Solve Eikonal for given sources.

Parameters:

sources (array_like) – Source coordinates or list of source coordinates.
nsweep (int, optional, default 2) – Number of sweeps.
return_gradient (bool, optional, default False) – If True, directions of gradient are computed at runtime. However, this option uses more memory as the gradient grid is saved. Gradient grids are required for a posteriori ray-tracing.

Returns:

Traveltime grid or list of traveltime grids.

Return type: