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  Why chromatic imaging matters

Sanchez-Bermudez, J., Millour, F., Baron, F., van Boekel, R., Bourgès, L., Duvert, G., et al. (2018). Why chromatic imaging matters. Experimental Astronomy, 46, 457-473.

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Sanchez-Bermudez, Joel1, Author
Millour, Florentin1, Author
Baron, Fabien1, Author
van Boekel, Roy1, Author
Bourgès, Laurent1, Author
Duvert, Gilles1, Author
Garcia, Paulo J. V.1, Author
Gomes, Nuno1, Author
Hofmann, Karl-Heinz1, Author
Henning, Thomas1, Author
Isbell, Jacob W.1, Author
Lopez, Bruno1, Author
Matter, Alexis1, Author
Pott, J. -Uwe1, Author
Schertl, Dieter1, Author
Thiébaut, Eric1, Author
Weigelt, Gerd1, Author
Young, John1, Author
Affiliations:
1Max Planck Institute for Astronomy, Max Planck Society and Cooperation Partners, ou_2421692              

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Free keywords: High angular resolution Optical interferometry Image reconstruction Astrophysics - Instrumentation and Methods for Astrophysics
 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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 Dates: 2018
 Publication Status: Issued
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Title: Experimental Astronomy
Source Genre: Journal
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Pages: - Volume / Issue: 46 Sequence Number: - Start / End Page: 457 - 473 Identifier: -