Why chromatic imaging matters |
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Authors: | Joel Sanchez-Bermudez Florentin Millour Fabien Baron Roy van Boekel Laurent Bourgès Gilles Duvert Paulo J. V. Garcia Nuno Gomes Karl-Heinz Hofmann Thomas Henning Jacob W. Isbell Bruno Lopez Alexis Matter J-Uwe Pott Dieter Schertl Eric Thiébaut Gerd Weigelt John Young |
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Affiliation: | 1.European Southern Observatory,Santiago,Chile;2.Université C?te d’Azur, OCA, CNRS,Nice cedex 02,France;3.Department of Physics and Astronomy,Georgia State University,Atlanta,USA;4.Max-Planck-Institut für Astronomie,Heidelberg,Germany;5.University of Grenoble Alpes, CNRS, IPAG,Grenoble,France;6.Departamento de Engenharia Física -CENTRA,Universidade do Porto - Faculdade de Engenharia,Porto,Portugal;7.NUCLIO - Núcleo Interativo de Astronomia,S?o Domingos de Rana,Portugal;8.Max-Planck-Institut für Radioastronomie,Bonn,Germany;9.Centre de Recherche Astrophysique de Lyon,Lyon,France;10.University of Cambridge,Cambridge,UK |
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Abstract: | 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. |
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