A new approach for short-spacing correction of radio interferometric data sets

TL;DR

This paper introduces an open-source image-domain method for merging single-dish and interferometric radio data, improving flux accuracy and resolution without needing raw visibility data, suitable for future large surveys.

Contribution

The novel approach combines single-dish and interferometric data in the image domain, requiring minimal data manipulation and no raw visibility data, enhancing flux accuracy and resolution.

Findings

Effective for Galactic and extragalactic HI data

Compared favorably to existing methods

Studied impact of imaging parameters on data merging

Abstract

The short-spacing problem describes the inherent inability of radio-interferometric arrays to measure the integrated flux and structure of diffuse emission associated with extended sources. New interferometric arrays, such as SKA, require solutions to efficiently combine interferometer and single-dish data. We present a new and open source approach for merging single-dish and cleaned interferometric data sets requiring a minimum of data manipulation while offering a rigid flux determination and full high angular resolution. Our approach combines single-dish and cleaned interferometric data in the image domain. This approach is tested for both Galactic and extragalactic HI data sets. Furthermore, a quantitative comparison of our results to commonly used methods is provided. Additionally, for the interferometric data sets of NGC4214 and NGC5055, we study the impact of different imaging parameters as well as their influence on the combination for NGC4214. The approach does not require the raw data (visibilities) or any additional special information such as antenna patterns. This is advantageous especially in the light of upcoming radio surveys with heterogeneous antenna designs.