Source detection in interferometric visibility data. I. Fundamental estimation limits
Cathryn M. Trott, Randall B. Wayth, Jean-Pierre R. Macquart, and, Steven J. Tingay

TL;DR
This paper develops a statistically optimal method for detecting radio transients directly in visibility data, addressing limitations of image-based techniques and establishing fundamental limits on calibration and measurement accuracy.
Contribution
It introduces a new visibility-space detection approach based on statistical decision theory, incorporating realistic models for calibration, confusion, and atmospheric effects.
Findings
Derives fundamental limits on array calibration accuracy.
Proposes an optimal detection method in visibility space.
Analyzes measurement limits for source parameters.
Abstract
Transient radio signals of astrophysical origin present an avenue for studying the dynamic universe. With the next generation of radio interferometers being planned and built, there is great potential for detecting and studying large samples of radio transients. Currently-used image-based techniques for detecting radio sources have not been demonstrated to be optimal, and there is a need for development of more sophisticated algorithms, and methodology for comparing different detection techniques. A visibility-space detector benefits from our good understanding of visibility-space noise properties, and does not suffer from the image artifacts and need for deconvolution in image-space detectors. In this paper, we propose a method for designing optimal source detectors using visibility data, building on statistical decision theory. The approach is substantially different to conventional…
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