A new approach for short‐spacing correction of radio interferometric datasets

Faridani, S.; Bigiel, Frank; Floeer, L.; Kerp, J.; Stanimirović, Snežana

doi:10.1002/asna.201713381

Cited by 9 publications

(8 citation statements)

References 37 publications

(64 reference statements)

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“…The methods incorporate one or more of the following steps in order to combine the interferometry dataset(s) with SD observations: combine the SD data with a clean interferometer image; combine the SD data with the dirty interferometer image before joint deconvolution; convert the single-dish data to pseudovisibilities, combine in the (u, v) plane and then FT the combined data and CLEAN. The methods we present for evaluation are: Feather ( §3.1), SDINT ( §3.2), a model-assisted CLEAN plus Feather (hereafter MACF) ( §3.3), TP2VIS ( §3.4), and Faridani et al (2018)'s Short Spacing Correction (hereafter FSSC) ( §3.5). For each of these methods we include a list of the control parameters.…”

Section: Combination Methodsmentioning

confidence: 99%

“…This is the case for the feather task. Faridani et al (2018) introduced a combination method that works purely in the image domain to avoid the introduction of such artifacts; they provide a stand-alone Python code that we have also incorporated into our suite of combination methods in order for the implementation to be done consistently. The method is succinctly summarized in Equation 6of Faridani et al (2018):…”

Section: Faridani's Short Spacing Correction (Fssc) Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Data Combination: Interferometry and Single-dish Imaging in Radio Astronomy

Plunkett¹,

Hacar²,

Moser-Fischer³

et al. 2023

Preprint

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Modern interferometers routinely provide radio-astronomical images down to subarcsecond resolution.However, interferometers filter out spatial scales larger than those sampled by the shortest baselines, which affects the measurement of both spatial and spectral features. Complementary single dish data is vital for recovering the true flux distribution of spatially resolved astronomical sources with such extended emission. In this work, we provide an overview of the prominent available methods to combine single dish and interferometric observations. We test each of these methods in the framework of the CASA data analysis software package on both synthetic continuum and observed spectral datasets. We develop a set of new assessment tools which are generally applicable to all radio-astronomical cases of data combination. Applying these new assessment diagnostics we evaluate the methods' performance and demonstrate the

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Section: Combination Methodsmentioning

confidence: 99%

Section: Faridani's Short Spacing Correction (Fssc) Methodsmentioning

confidence: 99%

Data Combination: Interferometry and Single-dish Imaging in Radio Astronomy

Plunkett¹,

Hacar²,

Moser-Fischer³

et al. 2023

Preprint

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“…Several established techniques are available to combine interferometric and single dish observations either in the uv-plane after deconvolution (e.g., Stanimirović 2002;Cotton 2017), the image plane directly (Faridani et al 2018) or through approximating the single dish data as artificial visibilities to be included in the image reconstruction process applied to interferometer data (Koda et al 2011;Koda et al 2019). More recently, Rau et al (2019) have developed a generic joint reconstruction algorithm called SDINT that combines aspects from several of the aforementioned approaches.…”

Section: Filling In the Missing Short-spacingsmentioning

confidence: 99%

GASKAP-HI pilot survey science I: ASKAP zoom observations of Hi emission in the Small Magellanic Cloud

Pingel

Dempsey

McClure‐Griffiths

et al. 2022

Publ. Astron. Soc. Aust.

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We present the most sensitive and detailed view of the neutral hydrogen ( ${\rm H\small I}$ ) emission associated with the Small Magellanic Cloud (SMC), through the combination of data from the Australian Square Kilometre Array Pathfinder (ASKAP) and Parkes (Murriyang), as part of the Galactic Australian Square Kilometre Array Pathfinder (GASKAP) pilot survey. These GASKAP-HI pilot observations, for the first time, reveal ${\rm H\small I}$ in the SMC on similar physical scales as other important tracers of the interstellar medium, such as molecular gas and dust. The resultant image cube possesses an rms noise level of 1.1 K ( $1.6\,\mathrm{mJy\ beam}^{-1}$ ) $\mathrm{per}\ 0.98\,\mathrm{km\ s}^{-1}$ spectral channel with an angular resolution of $30^{\prime\prime}$ ( ${\sim}10\,\mathrm{pc}$ ). We discuss the calibration scheme and the custom imaging pipeline that utilises a joint deconvolution approach, efficiently distributed across a computing cluster, to accurately recover the emission extending across the entire ${\sim}25\,\mathrm{deg}^2$ field-of-view. We provide an overview of the data products and characterise several aspects including the noise properties as a function of angular resolution and the represented spatial scales by deriving the global transfer function over the full spectral range. A preliminary spatial power spectrum analysis on individual spectral channels reveals that the power law nature of the density distribution extends down to scales of 10 pc. We highlight the scientific potential of these data by comparing the properties of an outflowing high-velocity cloud with previous ASKAP+Parkes ${\rm H\small I}$ test observations.

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“…CO J=3-2 contamination has been removed from the Planck map, using estimates provided by the Planck Legacy Archive. The combined map is created using an approach described by Faridani et al (2018). This approach is mathematically equivalent to feathering, an approach widely used for combining interferometer observations with single-dish observations, but is performed here in the map domain instead of the Fourier domain.…”

Section: Processing Of Herschel Planck and Cso/bolocam Mapsmentioning

confidence: 99%

AzTEC Survey of the Central Molecular Zone: Increasing Spectral Index of Dust with Density

Tang,

Wang,

Wilson

2020

Preprint

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The Central Molecular Zone (CMZ) of our Galaxy hosts an extreme environment analogous to that found in typical starburst galaxies in the distant universe. In order to understand dust properties in environments like our CMZ, we present results from a joint SED analysis of our AzTEC/Large Millimeter Telescope survey, together with existing Herschel far-IR data on the CMZ, from a wavelength range of 160 µm to 1.1 mm. We include global foreground and background contributions in a novel Bayesian modeling that incorporates the Point Spread Functions (PSFs) of the different maps, which enables the full utilization of our high resolution (10.5 ′′ ) map at 1.1 mm and reveals unprecedentedly detailed information on the spatial distribution of dusty gas across the CMZ. There is a remarkable trend of increasing dust spectral index β, from 2.0 − 2.4, toward dense peaks in the CMZ, indicating a deficiency of large grains or a fundamental change in dust optical properties. This environmental dependence of β could have a significant impact on the determination of dust temperature in other studies. Depending on how the optical properties of dust deviate from the conventional model, dust temperatures could be underestimated by 10 − 50% in particularly dense regions.

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A new approach for short‐spacing correction of radio interferometric datasets

Cited by 9 publications

References 37 publications

Data Combination: Interferometry and Single-dish Imaging in Radio Astronomy

Data Combination: Interferometry and Single-dish Imaging in Radio Astronomy

GASKAP-HI pilot survey science I: ASKAP zoom observations of Hi emission in the Small Magellanic Cloud

AzTEC Survey of the Central Molecular Zone: Increasing Spectral Index of Dust with Density

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