RESSOURCES

PUBLICATIONS

Here are the publications produced in the frame of the APPLY project:

2021

• TIPTOP: a new tool to efficiently predict your favorite AO PSF - Benoit Neichel, Olivier Beltramo-Martin, Cedric Plantet, Fabio Rossi, Guido Agapito, Thierry Fusco, Elena Carolo, Giulia Carla, Michele Cirasuolo, Remco van der Burg - SPIE 2020 - https://arxiv.org/abs/2101.06486

• Review of PSF reconstruction methods and application to post-processing - Beltramo-Martin, O.; Ragland, S.; Fétick, R.; Correia, C.; Dupuy, T.; Fiorentino, G.; Fusco, T.; Jolissaint, L.; Kamann, S.; Marasco, A.; Massari, D.; Neichel, B.; Schreiber, L.; Wizinowich, P. - SPIE 2020 -

2020

• Pushing Point spread function reconstruction to the next level. Application to SPHERE/ZIMPOL - Beltramo-Martin, O.; Marasco, A.; Fusco, T.; Massari, D.; Milli, J.; Fiorentino, G.; Neichel, B. - MNRAS 2020 - https://arxiv.org/abs/2001.10267

• Reconstruction of the ground-layer adaptive-optics point spread function for MUSE Wide Field Mode observations - Thierry Fusco, R. Bacon, S. Kamann, S. Conseil, Benoit Neichel, Carlos Correia, Olivier Beltramo-Martin, Joel Vernet, Johann Kolb, Pierre-Yves Madec - A&A2020 - https://arxiv.org/abs/2003.04028

• Limitations imposed by optical turbulence profile structureand evolution on tomographic reconstruction for the ELT - O. J. D. Farley, J. Osborn, T. Morris, T. Fusco, B. Neichel, C. Correia, R. W. Wilson - MNRAS 2020 - https://arxiv.org/abs/2003.07676

• Joint estimation of atmospheric and instrumental defects using a parsimonious point spread function model - Olivier Beltramo-Martin, Romain Fétick, Benoit Neichel, Thierry Fusco - A&A 2020 - https://arxiv.org/abs/2009.00994

• Blind deconvolution in astronomy with adaptive optics:the parametric marginal approach - Romain Fétick, Laurent Mugnier, Thierry Fusco, Benoit Neichel - A&A 2020 - https://arxiv.org/abs/2006.11160

• Compressive Shack-Hartmann Wavefront Sensor based on Deep Neural Networks - Peng Jia, Mingyang Ma, Dongmei Cai, Weihua Wang, Juanjuan Li, Can Li - MNRAS 2020 - https://arxiv.org/abs/2011.10241

• Modelling the Point Spread Function of Wide Field Small ApertureTelescopes With Deep Neural Networks – Applications in Point Spread Function Estimation - Peng Jia, Xuebo Wu, Zhengyang Li, Bo Li, Weihua Wang, Qiang Liu, Adam Popowicz - MNRAS 2020 - https://arxiv.org/abs/2011.10243

2019

• Physics-based model of the adaptive-optics corrected point-spread-function - Fétick, Romain; Fusco, Thierry; Neichel, Benoit; Mugnier, Laurent; Beltramo-Martin, Olivier; Bonnefois, Aurélie; Petit, Cyril; Milli, Julien; Vernet, Joel; Oberti, Sylvain; Bacon, Roland - A&A 2019 - https://arxiv.org/abs/1908.02200

• PRIME: PSF Reconstruction and Identification for Multiple-source characterization Enhancement - application to Keck NIRC2 imager - Beltramo-Martin, O.; Correia, C. M.; Ragland, S.; Jolissaint, L.; Neichel, B.; Fusco, T.; Wizinowich, P. - MNRAS 2019 - https://arxiv.org/abs/1903.02772

• Closing the gap between Earth-based and interplanetary mission observations: Vesta seen by VLT/SPHERE - Fétick, R. JL.; Jorda, L.; Vernazza, P.; Marsset, M.; Drouard, A.; Fusco, T. et al. - A&A 2019 - https://arxiv.org/abs/1902.01287

• Identifying optical turbulence profiles for realistic tomographic error in adaptive optics - O. J. D. Farley, J. Osborn, T. Morris, T. Fusco, B. Neichel, C. Correia, R. W. Wilson - MNRAS 2019 - https://arxiv.org/abs/1906.03511

SOFTWARE

• Pamplemuse

• PRIME

• MISTRAL

• GalPack3D

TELESCOPE & INSTRUMENTS

Acknowlegments to be added in publications: This work has been supported by the ANR-APPLY program (ANR-19-CE31-0011)