title: Factored form descent: a practical algorithm for coherence retrieval.
abstract: We formulate coherence retrieval, the process of recovering via intensity measurements the two-point correlation function of a partially coherent field, as a convex weighted least-squares problem and show that it can be solved with a novel iterated descent algorithm using a coherent-modes factorization of the mutual intensity. This algorithm is more memory-efficient than the standard interior point methods used to solve convex problems, and we verify its feasibility by reconstructing the mutual intensity of a Schell-model source from both simulated data and experimental measurements.
authors.affiliation: Singapore-MIT Alliance for Research and Technology Centre, 1 CREATE Way, Singapore 138602, Singapore. zhengyun@smart.mit.edu
authors.forename: Zhengyun
authors.initials: Z
authors.lastname: Zhang
authors.forename: Zhi
authors.initials: Z
authors.lastname: Chen
authors.forename: Shakil
authors.initials: S
authors.lastname: Rehman
authors.forename: George
authors.initials: G
authors.lastname: Barbastathis