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From the 2 of 109 papers with an AI index.

most citedGWTC-4.0: Updating the Gravitational-Wave Transient Catalog with Observations from the First Part of the Fourth LIGO-Virgo-KAGRA Observing Run

38 citations

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10 papers · 1 filter

astro-ph.IM2026

Forward modelling coronagraphic images with a fully physical, differentiable digital twin of MagAO-X: first laboratory results

Matthijs Mars, Sebastiaan Y. Haffert, Louis Desdoigts +10

Post-processing of high contrast imaging data relies on an accurate model of the stellar point spread function (PSF). Current techniques build this model from the science images th…

astro-ph.IM2026

Digging dark holes on-sky with the Self-Coherent Camera: Preliminary results

Elena Tonucci, Sebastiaan Y. Haffert, Jared R. Males +17

Current high-contrast imaging instruments are limited by wavefront errors originating from non-common path aberrations (NCPAs) due, for example, to manufacturing errors in the opti…

astro-ph.IM2026

Sub-diffraction-limited coronagraphic imaging with nano-printed PIAACMC phase masks

Elena Tonucci, Sebastiaan Y. Haffert, Warren B. Foster +22

Imaging Earth-like exoplanets in the habitable zone of their host star is among the main science objectives of future ground-based and space-based observatories. However, the extre…

astro-ph.IM2026

Quantum-optimal instruments for high-contrast imaging with multi-plane light converters

Sebastiaan Y. Haffert, Yinzi Xin, Rico Landman

Spatial Mode Demultiplexers (SPADE) are devices that split an incoming wavefront into a particular set of electric field modes. SPADEs have been shown to be quantum-optimal for man…

astro-ph.IM2026

Demonstration of simultaneous PIAA- coronagraphy and wavefront sensing using a single metasurface-based focal-plane optic

Dhwanil Patel, Sebastiaan Y. Haffert, Skyler Palatnick +23

Controlling residual wavefront aberrations downstream of an extreme adaptive optics (ExAO) system is a major challenge in high-contrast imaging. These aberrations produce quasi-sta…

astro-ph.IM2026

Exposure-averaged Gaussian Processes for Combining Overlapping Datasets

Jacob K. Luhn, Ryan A. Rubenzahl, Samuel Halverson +1

Physically motivated Gaussian process (GP) kernels for stellar variability, like the commonly used damped, driven simple harmonic oscillators that model stellar granulation and p-m…