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Faceting for direction-dependent spectral deconvolution

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arxiv 1712.02078 v2 pith:GSD2QPAJ submitted 2017-12-06 astro-ph.IM

C. Tasse , B. Hugo , M. Mirmont , O. Smirnov , M. Atemkeng , L. Bester , M.J. Hardcastle , R. Lakhoo
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S. Perkins T. Shimwell
This is my paper · ORCID
classification astro-ph.IM
keywords deconvolutionaccountspectraldirection-dependentdiscussfacetingalgorithmsddfacet
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The new generation of radio interferometers is characterized by high sensitivity, wide fields of view and large fractional bandwidth. To synthesize the deepest images enabled by the high dynamic range of these instruments requires us to take into account the direction-dependent Jones matrices, while estimating the spectral properties of the sky in the imaging and deconvolution algorithms. In this paper we discuss and implement a wide-band wide-field spectral deconvolution framework (DDFacet) based on image plane faceting, that takes into account generic direction-dependent effects. Specifically, we present a wide-field co-planar faceting scheme, and discuss the various effects that need to be taken into account to solve for the deconvolution problem (image plane normalization, position-dependent PSF, etc). We discuss two wide-band spectral deconvolution algorithms based on hybrid matching pursuit and sub-space optimisation respectively. A few interesting technical features incorporated in our imager are discussed, including baseline dependent averaging, which has the effect of improving computing efficiency. The version of DDFacet presented here can account for any externally defined Jones matrices and/or beam patterns.

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Forward citations

Cited by 9 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Polarisation and Faraday rotation measure imaging at metre wavelengths with sub-arcsecond resolution: a foundational calibration strategy

    astro-ph.IM 2026-06 unverdicted novelty 7.0 of 10

    A calibration strategy using full-Jones corrections with an in-field unpolarised calibrator and visibility-based multi-epoch alignment enables sub-arcsecond polarimetric imaging with LOFAR at metre wavelengths.

  2. Discovery of a radio-flaring M dwarf in a commensal transient search of the LADUMA field

    astro-ph.SR 2026-07 accept novelty 6.0 of 10

    MeerKAT LADUMA monitoring reveals a radio-flaring M3.5 dwarf, LP 888-63, with 13 detections in 41 epochs at 816 MHz.

  3. Two-component large-scale radio emission in Abell 2244

    astro-ph.CO 2026-07 conditional novelty 6.0 of 10

    Abell 2244 hosts a two-component radio halo whose outer part has a flatter spectral index than megahaloes and a weaker radio-X-ray correlation than the inner halo.

  4. Africanus IV. The Stimela2 framework: scalable and reproducible workflows, from local to cloud compute

    astro-ph.IM 2024-12 conditional novelty 6.0 of 10

    Stimela2 introduces a YAML-based workflow framework that combines readable linear recipes with containerization and Kubernetes or Slurm backends for reproducible, scalable radio astronomy data reduction.

  5. The plethora of diffuse emission in Abell 2034 as revealed by MeerKAT polarization observations

    astro-ph.CO 2026-07 conditional novelty 5.0 of 10

    MeerKAT polarization and spectral-index data reclassify Abell 2034's diffuse radio sources and favor a ~1 μG intracluster magnetic field (B ∝ n_e^0.5, normalized at R500).

  6. Africanus II. QuartiCal: calibrating radio interferometer data at scale using Numba and Dask

    astro-ph.IM 2024-12 conditional novelty 5.0 of 10

    QuartiCal, a new Python-based radio interferometry calibration package, supports arbitrary chains of gain terms and uses Dask to scale from a laptop to distributed cloud clusters, outperforming CubiCal in memory and speed.

  7. Early phases of star formation with SKAO: synchrotron emission from dense starless cores in molecular clouds

    astro-ph.GA 2026-06 unverdicted novelty 4.0 of 10

    SKAO will enable detection of synchrotron emission from prestellar cores to probe their magnetic field properties in nearby star-forming regions.

  8. Tracing Large-scale Structure with the MeerKLASS On-the-Fly Survey: Angular Clustering of Radio Sources at 816 MHz

    astro-ph.CO 2026-06 unverdicted novelty 4.0 of 10

    First measurement of angular clustering w(theta) for radio sources at 816 MHz over 800 deg2 yields positive signal and effective bias 1.53-2.0 depending on N(z) prior.

  9. A description of the radio astronomy data processing tool DDF Pipeline

    astro-ph.IM 2025-09 conditional novelty 4.0 of 10

    A single profiling run of the DDF Pipeline on 134.4 GB of LOFAR data took 68.87 hours, with killMS consuming 53.4 percent of the time and DDFacet 33.9 percent.

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