New Views of Black Holes from Computational Imaging
arXiv:2105.07004 · doi:10.1038/s43588-021-00078-z
Abstract
The unique challenges associated with imaging a black hole motivated the development of new computational imaging algorithms. As the Event Horizon Telescope continues to expand, these algorithms will need to evolve to keep pace with the increasingly demanding volume and dimensionality of the data.
arXiv comment8 pages, 3 figures, an authors' version of an invited comment article published from Nature Computational Science
References in corpus (10)
- High Resolution Linear Polarimetric Imaging for the Event Horizon Telescope
- Interferometric Imaging Directly with Closure Phases and Closure Amplitudes
- Imaging the Schwarzschild-radius-scale Structure of M87 with the Event Horizon Telescope using Sparse Modeling
- Dynamical Imaging with Interferometry
- Hybrid Very Long Baseline Interferometry Imaging and Modeling with Themis
- EHT-HOPS pipeline for millimeter VLBI data reduction
- Polarization calibration techniques for new-generation VLBI
- A D-term Modeling Code (DMC) for simultaneous calibration and full-Stokes imaging of very long baseline interferometric data
- GPCAL: a generalized calibration pipeline for instrumental polarization in VLBI data
- A probabilistic approach to phase calibration: I. Effects of source structure on fringe-fitting