nifty8.library.nft module

FinuFFT(*args, **kwargs)

class Gridder(target, uv, eps=2e-10)

Bases: LinearOperator

Compute non-uniform 2D FFT with ducc.

Parameters:

• target (Domain, tuple of domains or DomainTuple.) – Target domain, must be a single two-dimensional RGSpace.

• uv (np.ndarray) – Coordinates of the data-points, shape (n, 2).

• eps (float) – Requested precision, defaults to 2e-10.

__init__(target, uv, eps=2e-10)

apply(x, mode)

Applies the Operator to a given x, in a specified mode.

Parameters:

• x (nifty8.field.Field) – The input Field, defined on the Operator’s domain or target, depending on mode.

• mode (int) –

  • TIMES: normal application

  • ADJOINT_TIMES: adjoint application

  • INVERSE_TIMES: inverse application

  • ADJOINT_INVERSE_TIMES or INVERSE_ADJOINT_TIMES: adjoint inverse application

Returns:

The processed Field defined on the Operator’s target or domain, depending on mode.

Return type:

nifty8.field.Field

class Nufft(target, pos, eps=2e-10)

Bases: LinearOperator

Compute non-uniform 1D, 2D and 3D FFTs.

Parameters:

• target (Domain, tuple of domains or DomainTuple.) – Target domain, must be an RGSpace with one to three dimensions.

• pos (np.ndarray) – Coordinates of the data-points, shape (n, ndim).

• eps (float) – Requested precision, defaults to 2e-10.

__init__(target, pos, eps=2e-10)

apply(x, mode)

Applies the Operator to a given x, in a specified mode.

Parameters:

• x (nifty8.field.Field) – The input Field, defined on the Operator’s domain or target, depending on mode.

• mode (int) –

  • TIMES: normal application

  • ADJOINT_TIMES: adjoint application

  • INVERSE_TIMES: inverse application

  • ADJOINT_INVERSE_TIMES or INVERSE_ADJOINT_TIMES: adjoint inverse application

Returns:

The processed Field defined on the Operator’s target or domain, depending on mode.

Return type:

nifty8.field.Field