28-30 October 2019
Firenze, Palazzo dei Congressi
Europe/Rome timezone

Image Recognition for NCPA mitigation

29 Oct 2019, 14:30
Firenze, Palazzo dei Congressi

Firenze, Palazzo dei Congressi

piazza Adua 1


Mr Alessandro Terreri (INF-AOR)


The Non-Common Path Aberrations (NCPA) represent a non-negligible issue that degrades the performances of every high-resolution AO-assisted imager working at visible or near infrared wavelengths. We present an innovative technique for the NCPA mitigation, which we are developing in the framework of SHARK-VIS at LBT, where it is usually attained through a trial-error or phase-diversity approach. The proposed method is based on the use of a neural network for image recognition. This new technique is a promising way to directly measure the NCPA so that it can be corrected with the injection of an "aberration" offset into the AO system. In our approach, the neural network used to measure the NCPA is trained through an ad-hoc set of aberrated extrafocal PSF simulations, where a PCA analysis is used to optimize the dimension of the original data set for the classification purpose. The first steps of this study will be presented, discussing the potential and the drawbacks of this new method.

Primary author

Mr Alessandro Terreri (INF-AOR)


Fernando Pedichini (Istituto Nazionale di Astrofisica (INAF)) Gianluca Li Causi (Istituto Nazionale di Astrofisica (INAF)) Marco Stangalini (Istituto Nazionale di Astrofisica (INAF)) Massimiliano Mattioli (Istituto Nazionale di Astrofisica (INAF)) Roberto Speziali (Istituto Nazionale di Astrofisica (INAF)) Dr Simone Antoniucci (INAF - OAR) Vincenzo Testa (Istituto Nazionale di Astrofisica (INAF))

Presentation Materials