Author:
Vishniakou Ivan,Seelig Johannes D.
Abstract
Differerntiable model optimization is an approach for solving inverse problems where the forward process is known and deterministic. We employ this approach for wave-front sensing for adaptive optics and other similar problems, such as tracking the identity of multiple indistinguishable objects.