615 citations · 2.7k across the 64 of their papers we have counts for
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Nonlinear wavefront reconstruction from a pyramid sensor using neural networks
Alison P. Wong, Barnaby R. M. Norris, Vincent Deo +7
The pyramid wavefront sensor (PyWFS) has become increasingly popular to use in adaptive optics (AO) systems due to its high sensitivity. The main drawback of the PyWFS is that it i…
Focal-plane wavefront sensing with photonic lanterns II: numerical characterization and optimization
Jonathan Lin, Michael P. Fitzgerald, Yinzi Xin +5
We present numerical characterizations of the wavefront sensing performance for few-mode photonic lantern wavefront sensors (PLWFSs). These characterizations include calculations o…
2023 Astrophotonics Roadmap: pathways to realizing multi-functional integrated astrophotonic instruments
Nemanja Jovanovic, Pradip Gatkine, Narsireddy Anugu +77
Photonics offer numerous functionalities that can be used to realize astrophotonic instruments. The most spectacular example to date is the ESO Gravity instrument at the Very Large…
The path to detecting extraterrestrial life with astrophotonics
Nemanja Jovanovic, Yinzi Xin, Michael P. Fitzgerald +20
Astrophysical research into exoplanets has delivered thousands of confirmed planets orbiting distant stars. These planets span a wide ranges of size and composition, with diversity…
Photonic spectro-interferometry with SCExAO/FIRST at the Subaru Telescope: towards H-alpha imaging of protoplanets
Sébastien Vievard, Manon Lallement, Elsa Huby +27
FIRST is a post Extreme Adaptive-Optics (ExAO) spectro-interferometer operating in the Visible (600-800 nm, R~400). Its exquisite angular resolution (a sensitivity analysis of on-s…
Spectrally dispersed kernel phase interferometry with SCExAO/CHARIS: proof of concept and calibration strategies
Alexander Chaushev, Steph Sallum, Julien Lozi +7
Kernel phase interferometry (KPI) is a data processing technique that allows for the detection of asymmetries (such as companions or disks) in high-Strehl images, close to and with…