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• W2492328263 abstract "During the last decade, 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 nearand 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. Here, we present our ongoing studies to characterize the imaging capabilities of the Multi-AperTure mid-infrared SpectroScopic Experiment (MATISSE), a second-generation instrument for the Very Large Telescope Interferometer (VLTI). By providing simultaneous observations with 6 baselines and spectral resolutions up to R~5000. MATISSE will deliver, for the first time, thermal-IR interferometric data with enough u-v coverage and phase information for imaging. In this work, we report detailed image reconstruction studies carried out with the image reconstruction package SQUEEZE. For our studies, we use realistic simulated MATISSE data from radiative transfer simulations of a proto-planetary disk. In particular, we will discuss the role of the regularization function and of the initial brightness distribution. MATISSE will perform observations at three different mid-infrared bands: L, M and N. Hence, due to its large bandwidth, chromatic effects should be taken into account when image reconstruction is attempted. We also discuss the capabilities of SQUEEZE to perform multi-wavelength image reconstruction. Finally, we perform an analysis of the image quality and present our future line of research. The work here presented is being carried out within the Opticon FP7-2 joint research activity on interferometric imaging." @default.
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• W2492328263 date "2016-08-04" @default.
• W2492328263 modified "2023-10-18" @default.
• W2492328263 title "Imaging capabilities of the VLTI/MATISSE spectro-interferometric instrument" @default.
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• W2492328263 doi "https://doi.org/10.1117/12.2232308" @default.
• W2492328263 hasPublicationYear "2016" @default.
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