2018
DOI: 10.1093/mnras/sty360
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Baseline-dependent averaging in radio interferometry

Abstract: This paper presents a detailed analysis of the applicability and benefits of baseline dependent averaging (BDA) in modern radio interferometers and in particular the Square Kilometre Array (SKA). We demonstrate that BDA does not affect the information content of the data other than a well-defined decorrelation loss for which closed form expressions are readily available. We verify these theoretical findings using simulations. We therefore conclude that BDA can be used reliably in modern radio interferometry al… Show more

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Cited by 18 publications
(13 citation statements)
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“…This will have a major impact on the planning for deep spectral line surveys. Fortunately solutions for this have been proposed, either by storing the baseline-averaged visibility data (Wijnholds et al 2018) or by storing them, with correct kernels applied, on the uv-grid (Golap & Momjian 2016;Rozgonyi et al 2021).…”
Section: Discussionmentioning
confidence: 99%
“…This will have a major impact on the planning for deep spectral line surveys. Fortunately solutions for this have been proposed, either by storing the baseline-averaged visibility data (Wijnholds et al 2018) or by storing them, with correct kernels applied, on the uv-grid (Golap & Momjian 2016;Rozgonyi et al 2021).…”
Section: Discussionmentioning
confidence: 99%
“…The maximum time length of a single integration before reaching a decorrelation threshold depends on the baseline length, thus ones need particular simulations for their instruments to determine the suitable time scale (Wijnholds et al 2018). For the upgraded HERA correlator, it will be able to produce time-differenced visibilities on the milli-second timescale for accurate, empirical noise estimates.…”
Section: Direct Noise Estimation By Visibility Differencingmentioning
confidence: 99%
“…For a typical observation of 12 hours, this leads to a raw data volume of over 260 terabytes (TB). The actual data volume recorded by HERA is significantly smaller than this (e.g., using baseline dependent averaging, as described in Wijnholds et al 2018), though the resulting data volume per night is projected to be well over 50 TB. A typical observing season for HERA is 100 days, so several petabytes of data are generated within a single observing season.…”
Section: Processing and Storage Requirementsmentioning
confidence: 99%