High-contrast imager for complex aperture telescopes (HiCAT): 8. Dark zone demonstration with simultaneous closed-loop low-order wavefront sensing and control [PDF]
We present recent laboratory results demonstrating high-contrast coronagraphy for the future space-based large IR/Optical/Ultraviolet telescope recommended by the Decadal Survey.
R. Soummer+29 more
semanticscholar +1 more source
Direct wavefront sensing enables functional imaging of infragranular axons and spines. [PDF]
Liu R, Li Z, Marvin JS, Kleinfeld D.
europepmc +2 more sources
Advanced wavefront sensing and control demonstration with MagAO-X [PDF]
The search for exoplanets is pushing adaptive optics systems on ground-based telescopes to their limits. Currently, we are limited by two sources of noise: the temporal control error and non-common path aberrations.
S. Haffert+15 more
semanticscholar +1 more source
Angle-sensitive pixel design for wavefront sensing [PDF]
Conventional image sensors are only responsive to the intensity variation of the incoming light wave. By encoding the wavefront information into the balanced detection scheme, we demonstrate an image sensor pixel design that is capable to detect both the local intensity and wavefront information simultaneously.
Guoan Zheng
openalex +3 more sources
Learning to do multiframe wavefront sensing unsupervised: Applications to blind deconvolution [PDF]
Context. Observations from ground-based telescopes are severely perturbed by the presence of the Earth’s atmosphere. The use of adaptive optics techniques has allowed us to partly overcome this limitation.
A. Asensio Ramos, N. Olspert
openalex +2 more sources
Terahertz referenceless wavefront sensing by means of computational shear-interferometry.
In this contribution, we demonstrate the first referenceless measurement of a THz wavefront by means of shear-interferometry. The technique makes use of a transmissive Ronchi phase grating to generate the shear.
M. Agour+5 more
semanticscholar +1 more source
Focal plane wavefront sensing using machine learning: performance of convolutional neural networks compared to fundamental limits [PDF]
Focal plane wavefront sensing (FPWFS) is appealing for several reasons. Notably, it offers high sensitivity and does not suffer from non-common path aberrations (NCPA).
G. O. D. Xivry+4 more
semanticscholar +1 more source
Deep learning wavefront sensing and aberration correction in atmospheric turbulence
Deep learning neural networks are used for wavefront sensing and aberration correction in atmospheric turbulence without any wavefront sensor (i.e. reconstruction of the wavefront aberration phase from the distorted image of the object).
Kaiqiang Wang+9 more
semanticscholar +1 more source
In astronomy and related fields there is a pressing need to efficiently inject light, transmitted through the atmosphere, into a single-mode fibre. However this is extremely difficult due to the large, rapidly changing aberrations imprinted on the light ...
B. Norris+5 more
semanticscholar +1 more source
Deep learning wavefront sensing method for Shack-Hartmann sensors with sparse sub-apertures.
In this letter, we proposed a deep learning wavefront sensing approach for the Shack-Hartmann sensors (SHWFS) to predict the wavefront from sub-aperture images without centroid calculation directly.
Yulong He+5 more
semanticscholar +1 more source