I'm assistant astronomer in AIRI group at the observatory of Lyon.
My research interests are in inverses problems approaches for signal
and image restoration and reconstruction. I focus mainly on possibly
space-variant deblurring and autocalibration (i.e. estimation of
instrumental parameters from the observation as in blind
deconvolution) specifically for multivariate signals (such as
hyperspectral data, video, temporal sequences of observations) in a
wide range of applications: astronomical imaging, medical imaging,
digital holography, astronomical optical interferometry, microscopy,
non destructive testing...
Research
Research projects
Context
Observation of complex objects using existing interferometers as well as the development of future instruments of the VLTI (GRAVITY, MATISSE) highlight the needs of algorithms dedicated to multi-spectral interferometry. In the context of POLCA project, I propose with E. Thiébaut an novel framework for image reconstruction in multi-spectral interferometry.
Key idea(s)
Performing this 3D (x,y,\lambda) reconstruction globally, the new MiRA-3D image reconstruction algorithm for polychromatic interferometry has two main advantages: i) it effectively uses the chromatic dispersion to increase the (u,v) coverage without assuming a "gray" object, ii) it uses the a priori knowledge that the observed object is somewhat spectrally correlated. These priors are enforced by means of spatio-spectral regularization such as spectral total variation or grouped sparsity that I have already proposed in the context of integral field spectrography. MiRA-3D is based on an ADMM framework which split the global optimization problem in a succession of smaller and easier problems. Solving each of these small problems rely on expressing the corresponding so-called "proximal operator" for both the data fidelity terms (with respect to complex visibilities, power spectrum and phase closures) and the regularization terms (total variation, spatio-spectral grouped sparsity ...)
Results
This new framework is very flexible: changing the prior and/or the type of interferometric is done by changing the coresponding prox operator. On GRAVITY simulation, the error on stars position is below 0.1 mas and the error on recosntructed star spectra is below 1%.
Related publications:
"An image reconstruction framework for polychromatic interferometry" F. Soulez and E. Thiébaut
in Improving the performances of current optical interferometers - International Colloquium at haute provence observatory, St Michel l'observatoire : France Sept. 2013. (slides)
Context
Monomode optical interferometers get rid of atmospheric effects by integrating observables which are insensitive to the differential pistons between the interfering telescopes. For instance, the Fourier phase of the object is preserved in the so-called phase closures. This is however to the detriment of the amount of measured information.
Key idea(s)
Exploiting the chromatic behavior of the differential pistons, it is in principle possible to perform "a posteriori fringe tracking" to coherently add the complex visibilities of the short exposure fringe patterns and thus not only enhance the signal to noise ratio but also minimize the loss of information. To benefit from these improvements, there are several important difficulties. First, a global optimization has to be solved to estimate the instantaneous differential piston parameters from the available data. Second, specific image restoration methods have to be designed to deal with the resulting integrated observables.
Related publications:
"A posteriori finge sensing" F. Soulez, E. Thiébaut, M. Tallon and I. Tallon-Bosc
in Improving the performances of current optical interferometers - International Colloquium at haute provence observatory, St Michel l'observatoire : France Sept. 2013. (slides)
Context
A good estimate of the PSF is mandatory to perform non blind
deconvolution. In wide field fluorescence microscopy, such an
estimate is derived of theoretical models or calibrated using
fluorescent beads. However, using only known parameters about
the setup (wavelength, NA, refractive index,...), theoretical
models lack flexibility to represents the wide variety of
PSFs. Similarly, measured PSFs are often noisy due to the
small size of calibration beads, especially at high numerical
aperture.
Key idea(s)
Blind deconvolution algorithms bypass the problem of PSF
calibration by simultaneously estimating the PSF and the
object. The 3D PSF is modeled after a parametrized pupil
function. The PSF parameters are estimated jointly with the
object in a maximum a posteriori framework.
Results
In wide field fluorescence microscopy, our method outperforms
state-of-the art blind and non-blind deconvolution methods and
gives a depth resolution close to the lateral resolution.
Related publications:
"Blind deconvolution of 3d data in wide field fluorescence
microscopy" F. Soulez, L. Denis, Y. Tourneur and
E. Thiébaut in 9th IEEE International Symposium on Biomedical
Imaging: From Nano to Macro, Barcelona, Spain, May 2012. (pdf,slides)
2010 - present
Context
Image deblurring is essential to high resolution imaging and
is therefore widely used in astronomy, microscopy or
computational photography. While shift-invariant blur is
modeled by convolution and leads to fast FFT-based algorithms,
shift-variant blurring requires models both accurate and
fast. When the point spread function (PSF) varies smoothly
across the field, these two opposite objectives can be reached
by interpolating from a grid of PSF samples.
Key idea(s)
We developped a physically grounded model for PSF modeling
that leads to a fast and accurate shift-variant blurring
operator.
Results
We applied our model to simulations of Hubble Space Telescope
data and shown good reconstruction performance.
Related publications:
"Fast model of space-variant blurring and its application to
deconvolution in astronomy," L. Denis, E. Thiébaut, and
F. Soulez, IEEE International Conference on Image
Processing (ICIP), Brussels, September
2011. (pdf,poster)
Context
Integral field spectrographs are popular astronomical
instruments that provide hyperspectral images. These data cube
give much more information than monochromatic images but have
a low signal to noise ratio.
Key idea(s)
Using a fast model of spectrally
varying blur, we design a iterative restoration method taking
into account specificity of real data (narrow field, high
dynamic, non-stationary noise,..).
Results
Results show a significant gain both in term of resolution and
in term of denoising with some field of view extrapolation.
Related publications:
“Restoration of hyperspectral astronomical data with
spectrally varying blur,”
F. Soulez, E. Thiébaut
and L. Denis, to appear in EAS Publication series.
“3-D deconvolution of hyper-spectral astronomical data,”
S. Bongard, F. Soulez, E. Thiébaut,
and E. Pécontal Monthly Notices of the Royal Astronomical
Society, 2011, 418 (1), pp 258-270.
Context
The Nearby Supernova
factory use Type Ia supernovae as cosmogical probes to
measure the expansion history of the Universe. To that aim, it
is mandatory to extract precisely their spectrum and to
follow its evolution using a sequence of integral field
spectrographic observations. Unfortunately, flux from the
supernova, from its host galaxy and from the sky background are mixed by
the atmospheric turbulence.
Key idea(s)
We have defined different priors for each component of the
data (SN, galaxy and sky): the SN is spectrally and
temporally varying punctual source, the galaxy is spatially
and spatially structured and does not vary with time, the sky
background is spatially flat, the PSF varies spectrally and
temporally according to physical laws,...
Using these priors, each component is deconvolved and
extracted from the (x,y,lambda,t) data,
Results
The host galaxy is restored even outside of the field of view
of the IFU. The supernova spectra are extracted without bias leading to
a better fit of the luminosity curves. This method doubled the
number of unbiased supernovae that could be included in subsequent studies.
Related publications:
“4D deconvolution and demixing for supernova follow-up”,
S. Bongard, E. Thiébaut and F. Soulez, proc. of WHISPERS 2009, Grenoble, August
2009.
“Multi-Wavelength, Multi-Epoch Integral Field Spectrograph Extraction for the Nearby Supernova Factory”,
S. Bongard et al., 213th Meeting of the American
Astronomical Society with HAD and HEAD, Long Beach, 2009.
Context
The study of dynamical phenomena involve the acquisition
require acquisition of observation sequences with a very short
exposure time. This results in low flux observations and
therefore low signal to noise ratio. In addition, the imaging
system inevitably introduces a blur that degrades the
instrumental resolution observations.
Key idea(s)
The whole sequence being observed with the same instrument,
one can assume that the blur varies slowly over time. With
this assumption, we propose to use the entire sequence to
constrain the PSF estimation.
Results
This blind deconvolution method had proven its capability
and robustness in three types of modality:
coronarography, confocal microscopy and bright field microscopy.
Related publications:
"Heterogeneous Multidimensional Data Deblurring", F. Soulez, E.
Thiébaut, A. Gressard, R. Dauphin and S. Bongard, EUSIPCO, Lausanne, August,
2008. (pdf)
"Blind deconvolution of video sequences", F. Soulez, E.
Thiébaut, Y. Tourneur, A. Gressard and R. Dauphin, IEEE International Conference on Image
Processing (ICIP), San Diego, October, 2008. (pdf,slides)
Context
Digital holography is the method of choice for time-resolved
3D measurement of the location of particles in a flow. These
measurements are crucial to validate numerical simulations of
turbulence. The 3D location of several particles can be
recovered from a single hologram by analyzing their
diffraction patterns. Classically, this is performed in two
steps: first, a 3D volume is reconstructed by simulating
optical diffraction of the hologram. Then, the maximum of
focus location of the image of each particle is
detected. These approaches suffer from severe bias close to
the hologram boundaries, and false detections occur due
to multiple
focusing or speckle noise.
Key idea(s)
Such drawbacks can be circumvent by following an inverse
problem approach. Instead of reconstructing a 3D volume image
from the hologram, particles are directly detected by matching
the diffraction patterns on the hologram. An approach similar
to the matching pursuit algorithm is proposed, with sub-pixel
refinement by local optimization.
Results
The accuracy of the detection is improved by a factor 5 compared to that of classical techniques in a standard experimental configuration. Out-of-field detection is demonstrated, even far from the hologram boundaries.
Related publications:
"Inverse problem approach for particle digital holography:
out-of-field particle detection made possible," F. Soulez,
L. Denis, E. Thiébaut, C. Fournier, and
C. Goepfert, J. Opt. Soc. Am. A, 24 (12),
3708-3716,
2007. (pdf, doi)
"Inverse problem approach for particle digital holography:
accurate location based on local optimisation," F. Soulez,
L. Denis, C. Fournier, E. Thiébaut, and
C. Goepfert, J. Opt. Soc. Am. A, 24 (4),
1164-1171, 2007.
(pdf, doi)
"Digital holography of particles: experimental parameters
setting and benefits of the inverse problems approach,"
J. Gire, L. Denis, C. Fournier, C. Ducottet, E. Thiebaut, and
F. Soulez, Meas. Sci. Tech., 19,
2008. (pdf, doi)
Software
Most of my Software are available on my github page, some of them are embeded in docker containers to be easily deployed on servers.
Optical long baseline interferometry
I'm PI of the model fitting and image reconstruction (MFIR) working group of the JMMC, the French Center for Infrared and Optical Interferometry. We are in charge of the development of the model fitting software LITpro and the GUI frontend for image reconstruction algorithms OImaging.
Deconvolution microscopy
EpiDEMIC is a blind deconvolution plugin for wide field fluorescence (epifluorescence) microscopy.
SimpleDEMIC is a deconvolution plugin that requires a PSF estimate.
Inverse problems libraries
I'm involved in the developement of two librairies for inverse problems:
GlobalBioIm, a matlab library developped with BIG group at EPFL.
PropagationLab is a collection of Icy plugins to model light propagation in a microscope.
IcyHLPluginInstaller is a small Icy plugin. It will update Icy and install new plugin in headless (command line) mode when the GUI cannot be launch (eg on a server).
N. Pourré, T. O. Winterhalder, J.-B. Le Bouquin, S. Lacour, A. Bidot, M. Nowak, A.-L. Maire, D. Mouillet, C. Babusiaux, J. Woillez, R. Abuter, A. Amorim, R. Asensio-Torres, W. O. Balmer, M. Benisty, J.-P. Berger, H. Beust, S. Blunt, A. Boccaletti, M. Bonnefoy, H. Bonnet, M. S. Bordoni, G. Bourdarot, W. Brandner, F. Cantalloube, P. Caselli, B. Charnay, G. Chauvin, A. Chavez, E. Choquet, V. Christiaens, Y. Clénet, V. Coudé Du Foresto, A. Cridland, R. Davies, D. Defrère, R. Dembet, J. Dexter, A. Drescher, G. Duvert, A. Eckart, F. Eisenhauer, N. M. Förster Schreiber, P. Garcia, R. Garcia Lopez, E. Gendron, R. Genzel, S. Gillessen, J. H. Girard, F. Gonte, S. Grant, X. Haubois, G. Heißel, Th. Henning, S. Hinkley, S. Hippler, S. F. Hönig, M. Houllé, Z. Hubert, L. Jocou, J. Kammerer, M. Kenworthy, M. Keppler, P. Kervella, L. Kreidberg, N. T. Kurtovic, A.-M. Lagrange, V. Lapeyrère, D. Lutz, F. Mang, G.-D. Marleau, A. Mérand, F. Millour, P. Mollière, J. D. Monnier, C. Mordasini, E. Nasedkin, S. Oberti, T. Ott, G. P. P. L. Otten, C. Paladini, T. Paumard, K. Perraut, G. Perrin, O. Pfuhl, L. Pueyo, D. C. Ribeiro, E. Rickman, Z. Rustamkulov, J. Shangguan, T. Shimizu, D. Sing, F. Soulez, J. Stadler, T. Stolker, O. Straub, C. Straubmeier, E. Sturm, C. Sykes, L. J. Tacconi, E. F. van Dishoeck, A. Vigan, F. Vincent, S. D. von Fellenberg, J. J. Wang, F. Widmann, S. Yazici, J. A. Abad, E. Aller Carpentier, J. Alonso, L. Andolfato, P. Barriga, J.-L. Beuzit, P. Bourget, R. Brast, L. Caniguante, E. Cottalorda, P. Darré, B. Delabre, A. Delboulbé, F. Delplancke-Ströbele, R. Donaldson, R. Dorn, C. Dupuy, S. Egner, G. Fischer, C. Frank, E. Fuenteseca, P. Gitton, T. Guerlet, S. Guieu, P. Gutierrez, P. Haguenauer, A. Haimerl, C. T. Heritier, S. Huber, N. Hubin, P. Jolley, J.-P. Kirchbauer, J. Kolb, J. Kosmalski, P. Krempl, M. Le Louarn, P. Lilley, B. Lopez, Y. Magnard, S. Mclay, A. Meilland, A. Meister, T. Moulin, L. Pasquini, J. Paufique, I. Percheron, L. Pettazzi, D. Phan, W. Pirani, J. Quentin, A. Rakich, R. Ridings, J. Reyes, S. Rochat, C. Schmid, N. Schuhler, P. Shchekaturov, M. Seidel, C. Soenke, E. Stadler, C. Stephan, M. Suárez, M. Todorovic, G. Valdes, C. Verinaud, G. Zins, S. Zúñiga-Fernández
R. Abuter, F. Allouche, A. Amorim, C. Bailet, M. Bauböck, J.-P. Berger, P. Berio, A. Bigioli, O. Boebion, M. L. Bolzer, H. Bonnet, G. Bourdarot, P. Bourget, W. Brandner, Y. Clénet, B. Courtney-Barrer, Y. Dallilar, R. Davies, D. Defrère, A. Delboulbé, F. Delplancke, R. Dembet, P. T. de Zeeuw, A. Drescher, A. Eckart, C. Édouard, F. Eisenhauer, M. Fabricius, H. Feuchtgruber, G. Finger, N. M. Förster Schreiber, E. Garcia, P. Garcia, F. Gao, E. Gendron, R. Genzel, J. P. Gil, S. Gillessen, T. Gomes, F. Gonté, C. Gouvret, P. Guajardo, S. Guieu, M. Hartl, X. Haubois, F. Haußmann, G. Heißel, Th. Henning, S. Hippler, S. Hönig, M. Horrobin, N. Hubin, E. Jacqmart, L. Jochum, L. Jocou, A. Kaufer, P. Kervella, H. Korhonen, L. Kreidberg, S. Lacour, S. Lagarde, O. Lai, V. Lapeyrère, R. Laugier, J.-B. Le Bouquin, J. Leftley, P. Léna, D. Lutz, F. Mang, A. Marcotto, D. Maurel, A. Mérand, F. Millour, N. More, H. Nowacki, M. Nowak, S. Oberti, T. Ott, L. Pallanca, T. Paumard, K. Perraut, G. Perrin, R. Petrov, O. Pfuhl, N. Pourré, S. Rabien, C. Rau, S. Robbe-Dubois, S. Rochat, M. Salman, M. Schöller, J. Schubert, N. Schuhler, J. Shangguan, T. Shimizu, S. Scheithauer, A. Sevin, F. Soulez, A. Spang, E. Stadler, J. Stadler, C. Straubmeier, E. Sturm, L. J. Tacconi, K. R. W. Tristram, F. Vincent, S. von Fellenberg, S. Uysal, F. Widmann, E. Wieprecht, E. Wiezorrek, J. Woillez, S. Yazici, A. Young, G. Zins
Florentin Millour, Anthony Meilland, Alexis Matter, Guillaume Mella, Laurent Bourgès, Claudia Paladini, Isabelle Tallon-Bosc, Michel Tallon, Ferreol Soulez, David Buscher, Antoine Mérand, Myriam Benisty, Roy van Boekel, Pierre Cruzalèbes, Denis Defrère, Armando Domiciano de Souza, Mercedes Filho, Paulo Garcia, Sebastian F Hönig, Roxanne Ligi, Camille Maccotta, John Mckean, Fabien Patru, Karine Perraut, Jörg-Uwe Pott, Alain Spang, Sophie Rousset
J. Kluska, J.-P. Berger, Fabien Malbet, B. Lazareff, M. Benisty, J.-B. Le Bouquin, O. Absil, F. Baron, A. Delboulbé, G. Duvert, A. Isella, L. Jocou, A. Juhasz, S. Kraus, R. Lachaume, F. Ménard, R. Millan-Gabet, J. D. Monnier, T. Moulin, K. Perraut, S. Rochat, C. Pinte, F. Soulez, M. Tallon, W.-F. Thi, E. Thiébaut, W. Traub, G. Zins
B. Lazareff, J.-P Berger, J. Kluska, J.-B. Le Bouquin, M. Benisty, F. Malbet, C. Koen, C. Pinte, W.-F Thi, O. Absil, F. Baron, A. Delboulbé, G. Duvert, A. Isella, L. Jocou, A. Juhasz, S. Kraus, R. Lachaume, F. Ménard, R. Millan-Gabet, J. D. Monnier, T. Moulin, K. Perraut, S. Rochat, F. Soulez, M. Tallon, E. Thiébaut, W. Traub, G. Zins
Ferréol Soulez, Charles Crespy, Valerie Kaftandjian, Philippe Duvauchelle
article
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2011, pp.10.1016/j.nima.2011.06.037. ⟨10.1016/j.nima.2011.06.037⟩
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This paper proposes a method to restore energy dispersive X-ray diffraction (EDXRD) spectra and to e .....
The Gravity Plus Consortium, Florentin Millour, Philippe Berio, Stéphane Lagarde, Sylvie Robbe-Dubois, Carole Gouvret, Olivier Lai, Fatmé Allouche, Christophe Bailet, Olivier Boebion, Marcel Carbillet, Aurélie Marcotto, Alain Spang, Paul Girard, Nicolas Mauclert, Jean-Baptiste Le Bouquin, Thibaut Paumard, Ferréol Soulez, Julien Woillez, Nikhil More, Frank Eisenhauer, Christian Straubmeier, Laura Kreidberg, Paulo J. V. Garcia, Sebastian Hoenig
article
SPIE, Jul 2022, Montréal, Canada
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We present the testbench aimed at integrating the GRAVITY+ adaptive optics GPAO. It consists of two .....
Antoine Merand, Antxon Alberdid, Jacques Kluska, Isabelle Tallon-Bosc, Michel Tallon, Éric Thiébaut, Joel Sanchez-Bermudez, Rainer Schödel, Ferréol Soulez, John Young
article
SPIE Astronomical Telescopes + Instrumentation, Jul 2018, Austin, United States. pp.107011U, ⟨10.1117/12.2500674⟩
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We report on the VIII edition of the imaging reconstruction contest held in the optical/infrared int .....
Antony Schutz, André Ferrari, Éric Thiébaut, Ferréol Soulez, Martin Vannier, David Mary
article
Astronomical Telescopes + Instrumentation Conference on Optical and Infrared Interferometry and Imaging {V} ({ATI'16}), 2016, Edimburgh, United Kingdom. ⟨10.1117/12.2233010⟩
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This paper presents an extension of the spatio-spectral (" 3D ") image reconstruction algorithm call .....
SPIE Astronomical Telescopes + Instrumentation Conference on Optical and Infrared Interferometry and Imaging V (ATI'16), 2016, Edinburgh, United Kingdom. pp.99073 - 99074, ⟨10.1117/12.2232915⟩
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We have recently shown that a posteriori co-phasing of multi-spectral interferograms was possible. 1 .....
Matthew Ozon, Éric Thiébaut, Ferréol Soulez, Jonathan Léger
article
SPIE Astronomical Telescopes + Instrumentation Conference on Optical and Infrared Interferometry and Imaging V (SPIE-ATI'16), 2016, Edinburgh, United Kingdom. ⟨10.1117/12.2233312⟩
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Many image reconstruction algorithms have been proposed to cope with optical/IR interferometric data .....
SPIE Astronomical Telescopes + Instrumentation Conference on Advances in Optical and Mechanical Technologies for Telescopes and Instrumentation II (SPIE-ATI'16), 2016, Edinburgh, United Kingdom. ⟨10.1117/12.2232702⟩
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We propose a wavefront-based method to estimate the PSF over the whole field of view. This method es .....
Fabien Baron, William D. Cotton, Peter R. Lawson, Steve T. Ridgway, Alicia Aarnio, John D. Monnier, Karl-Heinz Hofmann, Dieter Schertl, Gerd Weigelt, Éric Thiébaut, Ferréol Soulez, David Mary, Florentin Millour, Martin Vannier, John Young, Nicholas M. Elias, Henrique R. Schmitt, Sridharan Rengaswamy
the First IEEE GRSS Workshop on Hyperspectral Image and Signal Processing - Evolution in Remote Sensing - (WHISPERS'09), Aug 2009, Grenoble, France. pp.0-0
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We present an inverse problem approach to jointly solve a problem of deconvolution and demixing of s .....
Workshop on Digital Holographic Reconstruction and Optical Tomography for Engineering Applications, Apr 2007, Loughborough, United Kingdom. pp.ISBN 978 0 947974 56 5
S. Bongard, Éric Thiébaut, E. Pecontal, G. Rigaudier, F. Soulez, C. Buton, N. Chotard, Y. Copin, E. Gangler, G. Smadja, C. Tao, P. Antilogus, S. Bailey, R. Pain, R. Pereira, P. Ripoche, C. Wu, G. Aldering, C. Aragon, M. Childress, S. Loken, P. Nugent, S. Perlmutter, K. Runge, H. Swift, R. C. Thomas, C. Baltay, J. Jerke, D. Rabinowitz, R. Scalzo
article
213th Meeting of the American Astronomical Society with HAD and HEAD, Jan 2009, Long Beach, CA, United States. 41, pp.464, 2009
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The SuperNova Integral Field Spectrograph (SNIFS), operated by the Nearby Supernova Factory since 20 .....
Philippe Stee, France Allard, Myriam Benisty, Lionel Bigot, Nicolas Blind, Henri Boffin, Marcelo Borges Fernandes, Alex Carciofi, Andrea Chiavassa, Orlagh Creevey, Pierre Cruzalèbes, Willem-Jan de Wit, Armando Domiciano de Souza, Martin Elvis, Nicolas Fabas, Daniel Faes, Alexandre Gallenne, Carlos Guerrero Pena, Michel Hillen, Sebastian Hoenig, Michael Ireland, Pierre Kervella, Makoto Kishimoto, Nadia Kostogryz, Stefan Kraus, Antoine Labeyrie, Jean-Baptiste Le Bouquin, Agnès Lèbre, Roxanne Ligi, Alessandro Marconi, Thomas Marsh, Anthony Meilland, Florentin Millour, John Monnier, Denis Mourard, Nicolas Nardetto, Keiichi Ohnaka, Claudia Paladini, Karine Perraut, Guy Perrin, Pascal Petit, Romain G. Petrov, Suvendu Rakshit, Gail Schaefer, Jean Schneider, Denis Shulyak, Michal Simon, Ferréol Soulez, Danny Steeghs, Isabelle Tallon-Bosc, Michel Tallon, Theo Ten Brummelaar, Éric Thiébaut, Frédéric Thévenin, Hans van Winckel, Markus Wittkowski, Juan Zorec
article
[Research Report] Observatoire de la Côte d'Azur. 2017
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High spatial resolution is the key for the understanding various astrophysical phenomena. But even w .....
A. Boccaletti, G. Chauvin, D. Mouillet, O. Absil, F. Allard, S. Antoniucci, J.-C. Augereau, P. Barge, A. Baruffolo, J.-L. Baudino, P. Baudoz, M. Beaulieu, M. Benisty, J.-L. Beuzit, A. Bianco, B. Biller, B. Bonavita, M. Bonnefoy, S. Bos, J.-C. Bouret, W. Brandner, N. Buchschache, B. Carry, F. Cantalloube, E. Cascone, A. Carlotti, B. Charnay, A. Chiavassa, E. Choquet, Y. Clenet, A. Crida, J. de Boer, V. de Caprio, S. Desidera, J.-M. Desert, J.-B. Delisle, P. Delorme, K. Dohlen, D. Doelman, C. Dominik, V. D Orazi, C. Dougados, S. Douté, D. Fedele, M. Feldt, F. Ferreira, C. Fontanive, T. Fusco, R. Galicher, A. Garufi, E. Gendron, A. Ghedina, C. Ginski, J.-F. Gonzalez, D. Gratadour, R. Gratton, T. Guillot, S. Haffert, J. Hagelberg, T. Henning, E. Huby, M. Janson, I. Kamp, M. Kenworthy, P. Kervella, Q. Kral, J. Kuhn, E. Lagadec, G. Laibe, M. Langlois, A.-M. Lagrange, R. Launhardt, L. Leboulleux, H. Le Coroller, G. Li Causi, M. Loupias, A. L. Maire, G. Marleau, F. Martinache, P. Martinez, D. Mary, M. Mattioli, J. Mazoyer, H. Meheut, F. Ménard, D. Mesa, N. Meunier, Y. Miguel, J. Milli, M. Min, P. Molliere, C. Mordasini, G. Moretto, L. Mugnier, G. Muro Arena, N. Nardetto, M. N Diaye, N. Nesvadba, F. Pedichini, P. Pinilla, E. Por, A. Potier, S. Quanz, J. Rameau, R. Roelfsema, D. Rouan, E. Rigliaco, B. Salasnich, M. Samland, J.-F. Sauvage, H.-M. Schmid, D. Segransan, I. Snellen, F. Snik, F. Soulez, E. Stadler, D. Stam, M. Tallon, P. Thebault, E. Thiebaut, C. Tschudi, S. Udry, R. van Holstein, P. Vernazza, F. Vidal, A. Vigan, R. Waters, F. Wildi, M. Willson, A. Zanutta, Annie Zavagno, A. Zurlo, Catherine Keller
article
2020
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SPHERE (Beuzit et al,. 2019) has now been in operation at the VLT for more than 5 years, demonstrati .....
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