104 citations · 137 across the 8 of their papers we have counts for
4 papers · 1 filter
Pointing Model Meets Deep Learning: A Retrospective Study on a MeerKAT+ Telescope Applying Deep Learning Methods for Blind Pointing Corrections
Stefan Thoms, Matthias Reichert
This study aims to compare the effectiveness of deep learning methods, specifically Feedforward Neural Networks (FNNs), with traditional Pointing Models (PMs) for compensating Blin…
Optimizing Wavefront-Deformation Sensor Placement for Active Radio-Telescope Surfaces
Stefan Thoms, Martin Timpe, Matthias Reichert
Next-generation high-frequency radio telescopes require primary-surface accuracies that passive structures alone cannot reliably achieve. The Atacama Large Aperture Submillimeter T…
The Atacama Large Aperture Submillimeter Telescope (AtLAST): enabling large-scale sub-mm science beyond 2030
Claudia Cicone, Tony Mroczkowski, Evanthia Hatziminaoglou +38
AtLAST is designed to be the largest (sub-)mm single-dish astronomical observatory and the first climate-neutral modern research infrastructure. It offers a unique combination of l…
Simulation-based dynamic pointing analysis of AtLAST under wind loading and fast-scan conditions
Aleksej Kiselev, Martin Timpe, Matthias Reichert +2
The Atacama Large Aperture Submillimeter Telescope (AtLAST) is a next-generation 50-m class single-dish facility concept designed for high-throughput, wide-field mapping at millime…