mem#

xrayvision.mem.mem( vis, shape, pixel_size, *, percent_lambda=<Quantity 0.02 %>, maxiter=1000, tol=0.001, map=True, total_flux=None, )[source]#

Maximum Entropy Method visibility based image reconstruction

Parameters:

vis (Visibilities) – Input Visibilities
shape (Annotated[Quantity, Unit("pix")]) – Image size
pixel_size (Annotated[Quantity, Unit("arcsec / pix")]) – Pixel size
percent_lambda (Annotated[Quantity, Unit("%")] | None) – Value used to compute the regularization parameter as a percentage of a maximum value automatically overestimated by the algorithm. Must be in the range [0.0001,0.2]
maxiter (int) – Maximum number of iterations of the optimisation loop
tol (float) – tolerance value used in the stopping rule ( || x - x_old || <= tol || x_old ||)
map (bool) – Return a sunpy map or bare array
total_flux (Quantity | None) – The total flux/counts contained in the image. If not set, total_flux is estimated using _estimate_flux.

Return type:

Quantity | NDArray[float64]