A new approach to multi-frequency synthesis in radio interferometry
arXiv:1401.4711 · doi:10.1051/0004-6361/201423465
Abstract
We present a new approach to multi-frequency synthesis in radio astronomy. Using Bayesian inference techniques, the new technique estimates the sky brightness and the spectral index simultaneously. In principle, the bandwidth of a wide-band observation can be fully exploited for sensitivity and resolution, currently only limited by higher order effects like spectral curvature. Employing this new approach, we further present a multi-frequency extension to the imaging algorithm RESOLVE. In simulations, this new algorithm outperforms current multi-frequency imaging techniques like MS-MF-CLEAN.
13 pages, 5 fugures, submitted to Astronomy and Astrophysics
References in corpus (7)
- Multi-Scale CLEAN deconvolution of radio synthesis images
- Revisiting the radio interferometer measurement equation. I. A full-sky Jones formalism
- Revisiting the radio interferometer measurement equation. II. Calibration and direction-dependent effects
- Reconstruction of Gaussian and log-normal fields with spectral smoothness
- Reconstruction of signals with unknown spectra in information field theory with parameter uncertainty
- RESOLVE: A new algorithm for aperture synthesis imaging of extended emission in radio astronomy
- Bayesian Inference of Polarized CMB Power Spectra from Interferometric Data
Cited by in corpus (15)
- An optimized algorithm for multi-scale wideband deconvolution of radio astronomical images
- Frankenstein: Protoplanetary disc brightness profile reconstruction at sub-beam resolution with a rapid Gaussian process
- IMAGINE: A comprehensive view of the interstellar medium, Galactic magnetic fields and cosmic rays
- Information theory for fields
- Comparison of classical and Bayesian imaging in radio interferometry
- Bayesian Inference for Radio Observations
- Parallel faceted imaging in radio interferometry via proximal splitting (Faceted HyperSARA): I. Algorithm and simulations
- Wideband Super-resolution Imaging in Radio Interferometry via Low Rankness and Joint Average Sparsity Models (HyperSARA)
- Bayesian self-calibration and imaging in Very Long Baseline Interferometry
- A parallel & automatically tuned algorithm for multispectral image deconvolution
- Information Field Theory and Artificial Intelligence
- Estimating statistics of sky brightness using radio interferometric observations
- A novel radio imaging method for physical spectral index modelling
- A regularized tri-linear approach for optical interferometric imaging
- Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters