Astronomical Imaging with Optical Telescopes: From Thirty-meter Observatories to Future Space Missions


Large optical telescopes have a rich history of pushing the boundaries of imaging technology and astronomical science. With a series of revolutionary optical telescopes launched recently or planned to be launched soon, in the next decade we expect to discover astronomical phenomena that will redefine our view of the universe. These telescopes will open windows to studying galaxies in the early universe, Earth-like planets around distant stars, and unknown discoveries beyond our imagination. This session will review recent development of computational imaging techniques in large space- or ground-based optical observatories. Topics include adaptive optics for future space telescopes (e.g. RST) and 30m level ground telescopes (e.g. E-ELT), data processing and early results from JWST, and machine learning methods for gravitational lensing and exoplanet study.

Organisers: He Sun & Katie Bouman (Committee member)

Chair: Jason Wang

Session Schedule

08:00 - 08:20 Session organiser talk -
Measuring Properties of Imaged Exoplanets
Jason J. Wang
08:20 - 08:40 Invited talk -
Machine learning for direct exoplanet imaging
Olivier Absil
08:40 - 09:00 Invited talk
Toward Milli-Arcsecond Imaging: Distributed Diffractive Optics and Learned Reconstruction
Farzad Kamalabadi
09:00 - 09:20 Invited talk -
Astronomical Data Fusion
Peter Melchior
09:20 - 09:40 Invited talk -
Space Starlight Suppression Technology Demonstration: The Nancy Grace Roman Space Telescope Coronagraph
Marie Ygouf
09:40 - 11:00 Contributed poster -
PolyCLEAN: A Polyatomic Frank-Wolfe Algorithm for Scalable Interferometric Imaging
Adrian Jarret*
09:40 - 11:00 Contributed poster -
Instantaneous Spectral Imaging with Learned Reconstruction
Ulas Kamaci*
09:40 - 11:00 Contributed poster -
Learned Interferometric Imaging for the SPIDER Instrument
Matthijs Mars*
09:40 - 11:00 Contributed poster -
Towards Unsupervised VLBI Imaging
Hendrik Müller*