Why chromatic imaging matters

• Tipo: Artigo em Revista Científica Internacional
• Data: 2018

Autores

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

Revista

Título: Experimental Astronomy

Vol. 46 Nº 3

Páginas: 457-473

ISSN: 0922-6435

Editora: Springer Nature

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 2 Citações

INSPEC

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 17