Image reconstruction in optical interferometry has become an important asset for astrophysical studies during the last decades. This has been mainly due to improvements in the imaging capabilities of existing interferometers such as the second generation of beam combiners at the Very Large Telescope Interferometer; or the expected facilities like the Sparse Aperture Masking mode of the James Webb Space Telescope. Since 2004, the community has organized a biennial contest to formally test the different methods and algorithms for image reconstruction. In 2022, we celebrated the 9th edition of the ”Optical Interferometry Imaging Contest”. This initiative represents an open call for the different scientific groups to present their advances in the field of interferometric image reconstruction with sparse infrared arrays. This contest represents a unique opportunity to benchmark, in a systematic way, the current advances and limitations in the field, as well as to discuss possible future approaches. In this work, we summarize: (a) the rules of the 2022 contest; (b) the different data sets used and the selection procedure; (c) the methods and results obtained by each one of the participants; and (d) the metrics used to select the best reconstructed images. Finally, we named John Young as winner of this edition of the contest and Jacques Kluska as winner of an honorific mention for his participation in the contest.
RHAPSODY is an intensity profile reconstruction code built to handle 2D centro-symmetric structures using interferometric data. RHAPSODY has been built to provide the community with a code requiring less parameters than classical image reconstruction code. This has as consequence leading to less solution non-uniqueness problems, a better convergence, and a better dynamic range assuming a centro-symmetric source at all wavelengths. RHAPSODY main steps are organized as following: In the first place, at each wavelengths, the code build a unique 1D structure made of concentric discrete uniform rings. Then, it applies the Hankel transform to reconstruct the equivalent visibility profile. Next, a change of coordinate is used on the 1D visibility profile to simulate the inclination and the rotation of the structure in the 2D Fourier plane. After a fitting process on the interferometric observations based on a χ2 and Bayesian method, RHAPSODY apply an inverse Fourier transform and reconstruct the equivalent structure in the 2D image plane. According to preliminary tests made on RHAPSODY, the code is able to well reproduce 1D and 2D centrosymmetric structures up to a dynamic range of 0.5%.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
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.