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Award-winning algorithm aids observation

KAUST ·

KAUST researchers developed a machine learning algorithm to control a deformable mirror within the Subaru Telescope's exoplanet imaging camera, compensating for atmospheric turbulence. The algorithm, which computes a partial singular value decomposition (SVD), outperforms a standard SVD by a factor of four. The KAUST team received a best paper award at the PASC Conference for this work, which has already been deployed at the Subaru Telescope. Why it matters: This advancement enables sharper images of exoplanets, facilitating their identification and study, and showcases the impact of optimizing core linear algebra algorithms.

Award-winning algorithm takes search for habitable planets to the next level

KAUST ·

KAUST researchers collaborated with the Paris Observatory and the National Astronomical Observatory of Japan (NAOJ) to develop advanced Extreme-AO algorithms for habitable exoplanet imaging. The new algorithms, powered by KAUST's linear algebra code running on NVIDIA GPUs, optimize and anticipate atmospheric disturbances. The implemented Singular Value Decomposition (SVD) algorithm won an award at the PASC Conference 2018 and is used at the Subaru Telescope in Hawaii. Why it matters: This advancement enhances the ability to image exoplanets, potentially leading to breakthroughs in the search for habitable planets using ground-based telescopes.

The day the Earth smiled

KAUST ·

Planetary scientist Carolyn Porco, who led the imaging science team for the Cassini mission to Saturn, was a keynote speaker at KAUST's 2018 Winter Enrichment Program. Porco aimed to recreate the Pale Blue Dot photograph of Earth taken by Voyager 1. On July 19, 2013, Cassini's cameras captured another Pale Blue Dot image of Earth when Saturn eclipsed the Sun. Why it matters: The event fostered contemplation on Earth's place in the universe among the KAUST community.

KAUST Extreme Computing Research Center brings astronomy back home

KAUST ·

KAUST's Extreme Computing Research Center (ECRC) developed Multiple Object Adaptive Optics (MOAO) software. The software will contribute to the activities of the world's largest future optical telescope to be deployed in Chile in 2024. MOAO will eliminate atmospheric noise and enable simultaneous observation of multiple objects at different distances. Why it matters: This contribution highlights KAUST's role in cutting-edge astronomical research and positions the Middle East as a key player in advancing observational astronomy.