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20212024
most citedFocal Plane Wavefront Sensing using Machine Learning: Performance of Convolutional Neural Networks compared to Fundamental Limits

33 citations · 48 across the 4 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

astro-ph.IM2022★ 1 cited

A simulator-based autoencoder for focal plane wavefront sensing

Maxime Quesnel, Gilles Orban de Xivry, Olivier Absil +1

Instrumental aberrations strongly limit high-contrast imaging of exoplanets, especially when they produce quasistatic speckles in the science images. With the help of recent advanc…

astro-ph.IM2022★ 14 cited

A deep learning approach for focal-plane wavefront sensing using vortex phase diversity

M. Quesnel, G. Orban de Xivry, G. Louppe +1

The performance of high-contrast imaging instruments is limited by wavefront errors, in particular by non-common path aberrations (NCPAs). Focal-plane wavefront sensing (FPWFS) is…