The dataset consists of wide-band image cubes of the celebrated radio galaxy Cyg A from 7.4 GB of VLA data. The imaged field of view is FoV=2.56 arcmin x 1.536 arcmin, at the spatial resolution 0.06 arcsec, and over the frequency range [4,8] GHz.
We provide wideband imaging results of Faceted HyperSARA (Thouvenin et al. 2020) in comparison with the monochromatic imaging approach SARA (Onose et al. 2017) and the multi-scale multi-frequency deconvolution algorithm JC-CLEAN (Offringa and Smirnov 2017).
We investigate the scalability and precision of the proposed algorithm via two experiments.
Experiment 1: Reconstruction of 15 GB image cube at full spectral resolution (8 MHz) from the full 7.4 GB of VLA data.
Experiment 2: Reconstruction of 0.94 GB image cube at low spectral resolution (128 MHz) from the reduced 0.22 GB data, leveraging a joint image and data dimensionality reduction technique (Kartik et al . 2017).
We provide Faceted HyperSARA estimated image cubes (at both spectral resolutions) in FITS format, as well as in AVI format. Imaging results of the benchmark methods are provided in AVI format.