Fringe tracking using a priori information on the optical path difference drift

Sebastien Morel; Laurent Koechlin

doi:10.1117/12.317174

24 July 1998 Fringe tracking using a priori information on the optical path difference drift

Sebastien Morel, Laurent Koechlin

Proceedings Volume 3350, Astronomical Interferometry; (1998) https://doi.org/10.1117/12.317174
Event: Astronomical Telescopes and Instrumentation, 1998, Kona, HI, United States

Abstract

Our goal is to improve fringe tracking in ground-based Michelson interferometry in order to reach fainter limiting magnitudes, and lower fringe visibility thresholds. The classical technique is the Fourier analysis of dispersed fringes (peak detection). It can be regarded as a maximum likelihood estimator. Although such an estimator is optimal by complying with Cramér-Rao bound rule, it does not use a priori information about the optical path difference (OPD) to be measured. We introduce a new signal analysis procedure based on the OPD drifts measured at the GI2T interferometer: if the signal is autocorrelated, then it would be possible to use a linear estimator giving a likelihood function from previous OPD values, reducing the noise in fringe Fourier analysis. Keywords: fringe tracking, photon counting, Fourier analysis, autoregressive modeling

Citation Download Citation

Sebastien Morel and Laurent Koechlin "Fringe tracking using a priori information on the optical path difference drift", Proc. SPIE 3350, Astronomical Interferometry, (24 July 1998); https://doi.org/10.1117/12.317174

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