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
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: