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Proceedings Paper

Imaging reconstruction for infrared interferometry: first images of YSOs environment
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Paper Abstract

The study of protoplanetary disks, where the planets are believed to form, will certainly allow the formation of our Solar System to be understood. To conduct observations of these objects at the milli-arcsecond scale, infrared interferometry provides the right performances for T Tauri, FU Ori or Herbig Ae/Be stars. However, the only information obtained so far are scarce visibility measurements which are directly tested with models. With the outcome of recent interferometers, one can foresee obtaining images reconstructed independently of the models. In fact, several interferometers including IOTA and AMBER on the VLTI already provide the possibility to recombine three telescopes at once and thus to obtain the data necessary to reconstruct images. In this paper, we describe the use of MIRA, an image reconstruction algorithm developed for optical interferometry data (squared visibilities and closure phases) by E. Thiébaut. We foresee also to use the spectral information given by AMBER data to constrain even better the reconstructed images. We describe the use of MIRA to reconstruct images of young stellar objects out of actual data, in particular the multiple system GW Orionis (IOTA, 2004), and discuss the encountered difficulties.

Paper Details

Date Published: 28 July 2008
PDF: 10 pages
Proc. SPIE 7013, Optical and Infrared Interferometry, 70131L (28 July 2008); doi: 10.1117/12.787887
Show Author Affiliations
S. Renard, Lab. d'Astrophysique de Grenoble, Univ. Joseph Fourier, CNRS (France)
F. Malbet, Lab. d'Astrophysique de Grenoble, Univ. Joseph Fourier, CNRS (France)
E. Thiébaut, Ctr. de Recherche Astrophysique de Lyon, Observatoire de Lyon, Univ. Claude Bernard (France)
J.-P. Berger, Lab. d'Astrophysique de Grenoble, Univ. Joseph Fourier, CNRS (France)

Published in SPIE Proceedings Vol. 7013:
Optical and Infrared Interferometry
Markus Schöller; William C. Danchi; Françoise Delplancke, Editor(s)

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