Noise analysis for complex field estimation using a self-referencing interferometer wavefront sensor

Troy A. Rhoadarmer; Jeffrey D. Barchers

doi:10.1117/12.450472

6 November 2002 Noise analysis for complex field estimation using a self-referencing interferometer wave front sensor

Proceedings Volume 4825, High-Resolution Wavefront Control: Methods, Devices, and Applications IV; (2002) https://doi.org/10.1117/12.450472
Event: International Symposium on Optical Science and Technology, 2002, Seattle, WA, United States

Abstract

A noise analysis is presented for complex field estimation using a self-referencing interferometer wave front sensor with an amplified reference. The wave front sensor is constructed from a phase-shifting, point diffraction interferometer. The reference field is created by coupling a part of the incident wave front into a single mode fiber where it is optically amplified. The noise characteristics of this wave front sensor are examined in terms of the field estimation Strehl. The effects of several system parameters are examined\nobreak—shot noise, read noise, quantization noise, spontaneous emission from the amplifier, the relative intensities of the signal and reference fields, and temporal phase shifting.

Citation Download Citation

Troy A. Rhoadarmer and Jeffrey D. Barchers "Noise analysis for complex field estimation using a self-referencing interferometer wave front sensor", Proc. SPIE 4825, High-Resolution Wavefront Control: Methods, Devices, and Applications IV, (6 November 2002); https://doi.org/10.1117/12.450472

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