Why chromatic imaging matters

• Type: Article in International Scientific Journal
• Date: 2018

Authors

Joel Sanchez-Bermudez (Author) Other; Florentin Millour (Author) Other; Fabien Baron (Author) Other; Roy van Boekel (Author) Other; Laurent Bourgès (Author) Other; Gilles Duvert (Author) Other; Paulo J. V. Garcia (Author) FEUP; Nuno Gomes (Author) Other; Karl-Heinz Hofmann (Author) Other; Thomas Henning (Author) Other; Jacob W. Isbell (Author) Other; Bruno Lopez (Author) Other; Alexis Matter (Author) Other; J-Uwe Pott (Author) Other; Dieter Schertl (Author) Other; Eric Thiebaut (Author) Other; Gerd Weigelt (Author) Other; John Young (Author) Other

Journal

Title: Experimental Astronomy

Vol. 46 No. 3

Pages: 457-473

ISSN: 0922-6435

Publisher: Springer Nature

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 2 Citations

INSPEC

Other information

Authenticus ID: P-00Q-07B

DOI: 10.1007/s10686-018-9617-y

Abstract (EN): During the last two decades, the first generation of beam combiners at the Very Large Telescope Interferometer has proved the importance of optical interferometry for high-angular resolution astrophysical studies in the near- and mid-infrared. With the advent of 4-beam combiners at the VLTI, the u - v coverage per pointing increases significantly, providing an opportunity to use reconstructed images as powerful scientific tools. Therefore, interferometric imaging is already a key feature of the new generation of VLTI instruments, as well as for other interferometric facilities like CHARA and JWST. It is thus imperative to account for the current image reconstruction capabilities and their expected evolutions in the coming years. Here, we present a general overview of the current situation of optical interferometric image reconstruction with a focus on new wavelength-dependent information, highlighting its main advantages and limitations. As an Appendix we include several cookbooks describing the usage and installation of several state-of-the art image reconstruction packages. To illustrate the current capabilities of the software available to the community, we recovered chromatic images, from simulated MATISSE data, using the MCMC software SQUEEZE. With these images, we aim at showing the importance of selecting good regularization functions and their impact on the reconstruction.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 17