62 citations · 102 across the 3 of their papers we have counts for
4 papers
Graph neural networks for exoplanet atmospheres
Antonia Vojtekova, Kai Hou Yip, Ingo P. Waldmann +4
Calculating disequilibrium chemistry in exoplanet atmospheres remains a significant computational bottleneck in atmospheric retrievals. The increasing observational precision from…
Harnessing the Hubble Space Telescope Archives: A Catalogue of 21,926 Interacting Galaxies
David O'Ryan, Bruno Merín, Brooke D. Simmons +13
Mergers play a complex role in galaxy formation and evolution. Continuing to improve our understanding of these systems require ever larger samples, which can be difficult (even im…
Deep Learning-Based Super-Resolution and De-Noising for XMM-Newton Images
Sam F. Sweere, Ivan Valtchanov, Maggie Lieu +6
The field of artificial intelligence based image enhancement has been rapidly evolving over the last few years and is able to produce impressive results on non-astronomical images.…
Learning to Denoise Astronomical Images with U-nets
Antonia Vojtekova, Maggie Lieu, Ivan Valtchanov +4
Astronomical images are essential for exploring and understanding the universe. Optical telescopes capable of deep observations, such as the Hubble Space Telescope, are heavily ove…