pypty.direct

wdd

Perform Wigner Distribution Deconvolution (WDD).

This function applies Wigner Distribution Deconvolution to the provided data, allowing for enhanced reconstruction of complex objects and probes. It handles both GPU (via CuPy) and CPU (via NumPy) computations based on the availability of CuPy. The pypty_params dictionary must be prepared via the initialize module.

PARAMETER	DESCRIPTION
pypty_params	Dictionary containing calibrated parameters, including paths and settings for data processing. TYPE: dict
eps_wiener	Epsilon parameter for the Wiener filter. Default is 1e-3. TYPE: float DEFAULT: 0.001
thresh	If provided, eps_wiener is ignored. Denominator values below this threshold are set to 1, and the corresponding numerator values are set to 0. TYPE: float DEFAULT: None
save	Whether to save output files (False by default). Ignored if save_preprocessing_files is specified in pypty_params. TYPE: bool DEFAULT: 0

RETURNS	DESCRIPTION
deconvolved_object	2D deconvolved complex object. TYPE: ndarray

Notes

Make sure pypty_params includes all necessary paths and data arrays prior to calling this function.