Cygnus A jointly calibrated and imaged via non-convex optimization from VLA data
Abstract
Radio interferometric (RI) data are noisy undersampled spatial Fourier components of the unknown radio sky affected by direction-dependent antenna gains. Failure to model these antenna gains accurately results in a radio sky estimate with limited fidelity and resolution. The RI inverse problem has been recently addressed via a joint calibration and imaging approach that consists in solving a non-convex minimization task, involving suitable priors for the direction-dependent effects (DDEs), namely temporal and spatial smoothness, and sparsity for the unknown radio map via an ℓ1-norm prior, in the context of realistic RI simulations. Building on these developments, we propose to promote sparsity of the radio map via a log-sum prior, enforcing sparsity more strongly than the ℓ1 norm. The resulting minimization task is addressed via a sequence of non-convex minimization tasks composed of re-weighted ℓ1 image priors, which are solved approximately. We demonstrate the efficiency of the approach on RI observations of the celebrated radio galaxy Cygnus A obtained with the Karl G. Jansky Very Large Array at the frequency bands X, C, and S . More precisely, we showcase that the approach enhances data fidelity significantly while achieving high-resolution high-dynamic range radio maps, confirming the suitability of the priors considered for the unknown DDEs and radio image. As a clear qualitative indication of the high fidelity achieved by the data and the proposed approach, we report the detection of three background sources in the vicinity of Cyg A, at S band.
- Publication:
-
Monthly Notices of the Royal Astronomical Society
- Pub Date:
- October 2021
- DOI:
- 10.1093/mnras/stab1903
- arXiv:
- arXiv:2102.00065
- Bibcode:
- 2021MNRAS.506.4855D
- Keywords:
-
- techniques: image processing;
- techniques: interferometric;
- Astrophysics - Instrumentation and Methods for Astrophysics
- E-Print:
- 22 pages,13 figures. Submitted to MNRAS