News:

• February 15, 2023: the complete list of invited speakers was released.
• January 30, 2023: abstract submission and registration are opened.

Computational imaging is a key process in radio and optical/near-infrared interferometry to reveal the fine views of the universe from observational data taken in Fourier space. Over the last decade, significant progress has been made in the development of new computational imaging techniques to address and overcome various challenges brought by the advent of the new instruments including the Event Horizon Telescope (EHT), Low Frequency Array (LOFAR), MeerKAT and Very Large Telescope Interferometer (VLTI), as well as upgrades of existing facilities such as Very Large Array (VLA). Many algorithmic and data processing challenges arise in our quest to endow these instruments, set to observe the sky at new regimes of sensitivity and resolution, with their expected acute vision. In this new era, imaging encompasses not only forming 2D spatial maps of observed fields of view, but also the reconstruction of the spectrum, polarisation, and dynamics of the sources of interest, not to mention the mapping of underlying physical quantities. This focused session will gather interferometric imaging experts to review the exciting frontiers in the field.

Programme

The special session will solicit both oral and poster contributions that widely cover the latest developments and challenges of interferometric imaging for the current and next-generation interferometric facilities. The session will be held over three 1.5-hour blocks to review the exciting frontiers in the field, including the following areas:

• Algorithms: from imaging and calibration, to modelling, to automation; from optimisation and deep learning to sampling methods
• Imaging modalities: from radio to optical, from monochromatic to wideband, to dynamic, from intensity to polarisation, to mapping physical quantities
• Software: from efficient, parallel, distributed implementation to software development technologies, to pipelines, to reproducibility, to cloud computing
• Instruments: from current (e.g. MeerkAT, ASKAP, LOFAR, VLA, ALMA, EHT, VLTI) to next generation (e.g. SKA, ngVLA, ngEHT, DSA-2000) facilities

Invited speakers

We will invite several keynote speakers to guide the discussions including the following leading experts.

• Landman Bester (South African Radio Astronomy Observatory):
  Bridging the gap between traditional CLEAN methods and novel forward imaging algorithms
• Liam Connor (Caltech):
  DSA-2000 and AI Imaging Algorithm
• Arwa Dabbech(Heriot-Watt Edinburgh):
  AI for image reconstruction in radio interferometry
• Torsten Ensslin (Max Planck Institute for Astrophysics):
  Radio & optical interferometric imaging with the Bayesian information field theory
• Shiro Ikeda (Institute of Statistical Mathematics):
  Novel imaging and calibration algorithm for ALMA
• Paul Tiede (Center for Astrophysics | Harvard & Smithsonian):
  ngEHT Bayesian inference and imaging algorithms

Scientific organisers

Kazu Akiyama (MIT): Co-chair
Yves Wiaux (Heriot-Watt Edinburgh): Co-chair
Sara Issaoun (Harvard & Smithsonian CfA)
Vikram Ravi (Caltech)
Oleg Smirnov (Rhodes University & SARAO)

Contact

eas2023_ss23 @ googlegroups.com