Multiple field of view layer-oriented adaptive optics

Ragazzoni, Roberto; Diolaiti, Emiliano; Farinato, Jacopo; Fedrigo, Enrico; Marchetti, Enrico; Tordi, Massimiliano; Kirkman, David

doi:10.1051/0004-6361:20021406

Cited by 66 publications

(31 citation statements)

References 27 publications

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“…LOST is a numerical tool implemented for the simulation of Multi-conjugate Adaptive Optics (MCAO) systems using the Layer Oriented approach. In particular this code is the only one able to simulate the Multiple Field of View (MFoV) MCAO technique (Ragazzoni et al 11 ) as it will be implemented in the LN instrument. Moreover it is able to combine the two adaptive optics arms providing an adaptive optics corrected LBT-interferometric PSF.…”

Section: Simulation Of Observing Condition (Psf)mentioning

confidence: 99%

Analysis of LBT LINC-NIRVANA simulated images of galaxies and young stellar objects

et al. 2008

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LINC-NIRVANA (LN) is a Fizeau interferometer that will provide for the first time coherent images in the near-IR combining the beams from the two Large Binocular Telescope (LBT)arms, by adopting a Multi-Coniugate Adaptive Optics system (MCAO) that allows for atmospheric turbulence compensation. We applied a software for the simulation and the reconstruction of LN images (AIRY-LN, see Desiderá et al.1 this Conference) in two specific scientific cases: a relatively distant galaxy at redshift about 1 and a collimated jet from a Young Stellar Object (YSO). These two cases have been chosen to test the capability of LN in the observations of faint and small (1-2 arcsec) extragalactic objects and objects with diffuse emission and high dynamical range, respectively. A total of six images at different hour angles have been obtained for both cases. Using these simulated images, we obtained the final reconstructed images using the software package AIRY-LN. These images have been analyzed with the standard data reduction software (IRAF and IDL). Our analysis show that the reconstruction algorithm is fundamental to obtain a good reproduction of the original flux and morphology while the optimal number of iterations strongly depends on the scientific goal.

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Section: Simulation Of Observing Condition (Psf)mentioning

confidence: 99%

Analysis of LBT LINC-NIRVANA simulated images of galaxies and young stellar objects

et al. 2008

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“…For testing this method we performed a numerical experiment using PSFs generated by the code LOST (Layer Oriented Simulation Tool; Arcidiacono et al 2004), which is a numerical tool implemented for the simulation of multi conjugate adaptive optics (MCAO) systems using the layer oriented approach. In particular this code is the only one able to simulate the multiple field of view (MFoV) (Ragazzoni et al 2002) MCAO technique as it will be implemented on the LN instrument. Moreover, it is able to combine the two adaptive optics arms retrieving an adaptive optics corrected LBT-interferometric PSF.…”

Section: Psf Extraction and Extrapolationmentioning

confidence: 99%

Advances in the reconstruction of LBT LINC-NIRVANA images

Camera¹,

Desiderà²,

Arcidiacono

et al. 2007

A&A

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Context. LINC-NIRVANA, the Fizeau interferometer of the Large Binocular Telescope (LBT), will require routine use of image reconstruction methods for data reduction. To this purpose our group has already developed the software package AIRY (Astronomical Image Restoration in interferometrY). Aims. Observations of a target, with different orientations of the baseline of LINC-NIRVANA, will provide images with different orientations with respect to the CCD camera. This rotation effect was not taken into account in our previous work. Therefore in this paper we propose a method able to compensate for the rotation of the field of view. Moreover we investigate acceleration techniques for reducing the computational burden of multiple image deconvolution. Methods. The basic method is a suitable modification of the Richardson-Lucy algorithm, also implementing an approach we proposed for reducing boundary effects. Acceleration techniques, proposed by Biggs & Andrews, are extended and applied to this new algorithm. Finally a method for estimating the unknown point spread function (PSF) by extracting and extrapolating the image of a reference star is developed and implemented. Results. The method introduced for compensating object rotation and reducing boundary effects, as well as its accelerated versions, are tested on simulated LINC-NIRVANA images, using the VLT image of the Crab Nebula as test object. The results are very promising. Moreover the method for PSFs extraction is tested on simulated images, derived from the LBT image of the galaxy NGC 6946 and obtained by convolving this image with PSFs computed by means of the numerical code LOST (Layer Oriented Simulation Tool).

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“…This property has been used to define the concept of Layer oriented (LO) wave-front sensing [30]. The LO concept is illustrated in Fig.…”

Section: Layer-oriented Wfsmentioning

confidence: 99%