Laser beam cleanup using improved model-based wavefront sensorless adaptive optics

Bing Dong*, Rui Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

An improved model-based wavefront sensorless adaptive optics algorithm is proposed for laser beam cleanup. Deformable mirror (DM) eigenmodes are used to replace traditional Lukosz modes in order to avoid DM fitting errors. The traditional method is based on a sophisticated calibration process and solving linear equations. In our method, coefficients of DM eigenmodes are estimated by adding bidirectional modal biases into the system and then solving parabolic equations. The calibration process is omitted in our method, which makes it more feasible. From simulation and experimental results, the corrective accuracy of the improved method is higher than the traditional one.

Original languageEnglish
Article number031406
JournalChinese Optics Letters
Volume14
Issue number3
DOIs
Publication statusPublished - 10 Mar 2016

Fingerprint

Dive into the research topics of 'Laser beam cleanup using improved model-based wavefront sensorless adaptive optics'. Together they form a unique fingerprint.

Cite this