init_fresnel_ft

dnois.optics.df.init_fresnel_ft(grid_size: int | tuple[int, int], wl: Real | Sequence[Real] | Tensor, distance: Real | Sequence[Real] | Tensor, dx: float | Tensor, dy: float | Tensor = None, **kwargs) → dict[str, Tensor]

Pre-compute the intermediate results for fresnel_ft() and return them to avoid repeated computation.

Parameters:

• grid_size (int or tuple[int, int]) – Size of spatial dimensions \((H, W)\).

• wl (float, Sequence[float] or Tensor) – Wavelengths \(\lambda\). A scalar or a tensor of shape \((N_\lambda,)\).

• distance (float, Sequence[float] or Tensor) – distance: Propagation distance \(d\). A scalar or a tensor of shape \((N_d,)\).

• dx (float or Tensor) – See fresnel_ft().

• dy (float or Tensor) – See fresnel_ft().

• kwargs –

  Optional keyword arguments:

  Parameter	Type	Description
  delta_mode	str	See fresnel_ft().
  ampl_phase_form	bool	True if the pupil function passed to fresnel_ft() is a pair of tensors representing its amplitude and phase, otherwise a single complex tensor. See fresnel_ft().
  phase_factor	bool	See fresnel_ft().
  scale_factor	bool	See fresnel_ft().

Returns:

Intermediate results that can be passed to fresnel_ft() as intermediate argument.

Return type:

dict[str, Tensor]