activity
20232025
most citedCoordGate: Efficiently Computing Spatially-Varying Convolutions in Convolutional Neural Networks

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

physics.optics2025

A Bayesian perspective on single-shot laser characterization

J. Esslinger, N. Weisse, C. Eberle +5

We introduce a Bayesian framework for measuring spatio-temporal couplings (STCs) in ultra-intense lasers that reconceptualizes what constitutes a 'single-shot' measurement. Moving…

physics.optics2024

Sparse Reconstruction of Wavefronts using an Over-Complete Phase Dictionary

S. Howard, N. Weisse, J. Schroeder +5

Wavefront reconstruction is a critical component in various optical systems, including adaptive optics, interferometry, and phase contrast imaging. Traditional reconstruction metho…

cs.CV2024★ 3 cited

CoordGate: Efficiently Computing Spatially-Varying Convolutions in Convolutional Neural Networks

Sunny Howard, Peter Norreys, Andreas Döpp

Optical imaging systems are inherently limited in their resolution due to the point spread function (PSF), which applies a static, yet spatially-varying, convolution to the image.…

gr-qc2023

Gravitational waves from high-power twisted light

Eduard Atonga, Killian Martineau, Ramy Aboushelbaya +12

Recent advances in high-energy and high-peak-power laser systems have opened up new possibilities for fundamental physics research. In this work, the potential of twisted light for…

physics.optics2023★ 1 cited

Measuring spatio-temporal couplings using modal spatio-spectral wavefront retrieval

N. Weiße, J. Esslinger, S. Howard +7

Knowledge of spatio-temporal couplings such as pulse-front tilt or curvature is important to determine the focused intensity of high-power lasers. Common techniques to diagnose the…