Pupil-imaging wavefront gradient sensor

William Nigel L. Pugh; Daniel R. Lobb; David D. Walker; Thomas L. Williams

doi:10.1117/12.217747

25 August 1995 Pupil-imaging wavefront gradient sensor

William Nigel L. Pugh, Daniel R. Lobb, David D. Walker, Thomas L. Williams

Proceedings Volume 2534, Adaptive Optical Systems and Applications; (1995) https://doi.org/10.1117/12.217747
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

Abstract

A wavefront sensor design is presented. The wavefront sensor will be applied typically to adaptive correction of a ground based astronomical telescope. It comprises a pair of crossed biprisms to act as star image splitters in the telescope image plane, splitting the incident wave into four beams. The biprisms are followed by a lens which forms four pupil images. These exhibit intensity map differences related to the phase gradient of the incident wave, providing that the point spread function overlaps the biprism crossing. This allows standard wavefront reconstruction algorithms to be used to reconstruct the phase map over the aperture. The results from a computer diffraction simulation of this system are presented to show the useful range of the sensor. In addition, a design for an experimental prototype system is presented.

Citation Download Citation

William Nigel L. Pugh, Daniel R. Lobb, David D. Walker, and Thomas L. Williams "Pupil-imaging wavefront gradient sensor", Proc. SPIE 2534, Adaptive Optical Systems and Applications, (25 August 1995); https://doi.org/10.1117/12.217747

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available