# A joint deconvolution algorithm to combine single dish and interferometer data for wideband multi-term and mosaic imaging

## TL;DR

This paper introduces a joint deconvolution algorithm that effectively combines single-dish and interferometer data for wideband, multi-term, and mosaic imaging in radio astronomy, improving image quality and stability.

## Contribution

The proposed algorithm offers a simpler, flexible, and fully compatible method for joint wideband imaging, addressing limitations of previous techniques in handling spectral and spatial structures.

## Key findings

- Prevents instabilities in wideband and mosaic imaging.
- Demonstrates effective combination of single-dish and interferometer data.
- Compatible with standard iterative reconstruction frameworks.

## Abstract

Imaging in radio astronomy is usually carried out with a single-dish radio telescope doing a raster scan of a region of the sky or with an interferometer that samples the visibility function of the sky brightness. Mosaic observations are the current standard for imaging large fields of view with an interferometer and multi-frequency observations are now routinely carried out with both types of telescopes to increase the continuum imaging sensitivity and to probe spectral structure. This paper describes an algorithm to combine wideband data from these two types of telescopes in a joint iterative reconstruction scheme that can be applied to spectral cube or wideband multi-term imaging both for narrow fields of view as well as mosaics. Our results demonstrate the ability to prevent instabilities and error that typically arise when wide-band or joint mosaicing algorithms are presented with spatial and spectral structure that is inadequetely sampled by the interferometer alone. For comparable noise levels in the single dish and interferometer data, the numerical behaviour of this algorithm is expected to be similar to the idea of generating artificial visibilities from single dish data. However, our discussed implementation is simpler and more flexible in terms of applying relative data weighting schemes to match noise levels while preserving flux accuracy, fits within standard iterative image reconstruction frameworks, is fully compatible with wide-field and joint mosaicing gridding algorithms that apply corrections specific to the interferometer data and may be configured to enable spectral cube and wideband multi-term deconvolution for single-dish data alone.