Interferometric Cubelet Stacking to Recover H\,\textsc{i} Emission from Distant Galaxies
Qingxiang Chen, Martin Meyer, Attila Popping, Lister Staveley-Smith

TL;DR
This paper presents a novel interferometric cubelet stacking method that improves H I emission detection from distant galaxies by enabling deconvolution, outperforming traditional spectral stacking especially for extended sources.
Contribution
The introduced image domain stacking technique allows for deconvolution, providing more accurate H I mass estimates from interferometric data than traditional spectral stacking methods.
Findings
Stacked image and flux estimation are significantly improved.
H I mass estimates agree within 3% in ideal simulations.
The method recovers H I mass within 4% in realistic noisy conditions.
Abstract
In this paper we introduce a method for stacking data cubelets extracted from interferometric surveys of galaxies in the redshifted 21-cm H\,\textsc{i} line. Unlike the traditional spectral stacking technique, which stacks one-dimensional spectra extracted from data cubes, we examine a method based on image domain stacks which makes deconvolution possible. To test the validity of this assumption, we mock a sample of 3622 equatorial galaxies extracted from the GAMA survey, recently imaged as part of a DINGO-VLA project. We first examine the accuracy of the method using a noise-free simulation and note that the stacked image and flux estimation are dramatically improved compared to traditional stacking. The extracted H\,\textsc{i} mass from the deconvolved image agrees with the average input mass to within 3\%. However, with traditional spectral stacking, the derived H\,\textsc{i} is…
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