Geometrical model fitting for interferometric data: GEM-FIND

Daniela Klotz; Stephane Sacuto; Claudia Paladini; Josef Hron; Georg Wachter

doi:10.1117/12.925881

12 September 2012 Geometrical model fitting for interferometric data: GEM-FIND

Daniela Klotz, Stephane Sacuto, Claudia Paladini, Josef Hron, Georg Wachter

Proceedings Volume 8445, Optical and Infrared Interferometry III; 84451A (2012) https://doi.org/10.1117/12.925881
Event: SPIE Astronomical Telescopes + Instrumentation, 2012, Amsterdam, Netherlands

Abstract

We developed the tool GEM-FIND that allows to constrain the morphology and brightness distribution of ob- jects. The software fits geometrical models to spectrally dispersed interferometric visibility measurements in the N-band using the Levenberg-Marquardt minimization method. Each geometrical model describes the bright- ness distribution of the object in the Fourier space using a set of wavelength-independent and/or wavelength- dependent parameters. In this contribution we numerically analyze the stability of our nonlinear fitting approach by applying it to sets of synthetic visibilities with statistically applied errors, answering the following questions: How stable is the parameter determination with respect to (i) the number of uv-points, (ii) the distribution of points in the uv-plane, (iii) the noise level of the observations?

Citation Download Citation

Daniela Klotz, Stephane Sacuto, Claudia Paladini, Josef Hron, and Georg Wachter "Geometrical model fitting for interferometric data: GEM-FIND", Proc. SPIE 8445, Optical and Infrared Interferometry III, 84451A (12 September 2012); https://doi.org/10.1117/12.925881

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