Direction-dependent calibration with image-domain gridding

Fuente: arXiv
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Autores principales: van der Tol, Sebastiaan, Yatawatta, Sarod, Veenboer, Bram, Rafferty, David
Formato: Preprint
Publicado: 2026
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author van der Tol, Sebastiaan
Yatawatta, Sarod
Veenboer, Bram
Rafferty, David
author_facet van der Tol, Sebastiaan
Yatawatta, Sarod
Veenboer, Bram
Rafferty, David
contents Wide-field images made by radio interferometers are invariably affected by direction-dependent systematic effects such as the ionosphere or the beam pattern. Calibration along a set of discrete directions in the sky is the default technique to estimate and correct these systematic errors. However, additional processing such as smoothing and mosaicing are required to reconcile the step wise variation of the estimated systematic errors at the edges of the discrete directions (facets). We overcome the discrete nature of direction-dependent calibration by using image-domain gridding as the model for the calibration. Instead of discrete directions in the sky, calibration is performed using a basis that represents a set of sub-grids in the Fourier space. This automatically removes the need for extra operations to recover the wide-field systematics error model without any discontinuity. We provide results based on LOFAR data where we compare the traditional facet-based (discrete directional gains) calibration with the proposed approach. The comparison shows improved image quality, mainly because of the physical plausibility of the proposed approach as opposed to using a piecewise constant model for direction-dependent systematic errors.
format Preprint
id arxiv_https___arxiv_org_abs_2602_06002
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Direction-dependent calibration with image-domain gridding
van der Tol, Sebastiaan
Yatawatta, Sarod
Veenboer, Bram
Rafferty, David
Instrumentation and Methods for Astrophysics
Wide-field images made by radio interferometers are invariably affected by direction-dependent systematic effects such as the ionosphere or the beam pattern. Calibration along a set of discrete directions in the sky is the default technique to estimate and correct these systematic errors. However, additional processing such as smoothing and mosaicing are required to reconcile the step wise variation of the estimated systematic errors at the edges of the discrete directions (facets). We overcome the discrete nature of direction-dependent calibration by using image-domain gridding as the model for the calibration. Instead of discrete directions in the sky, calibration is performed using a basis that represents a set of sub-grids in the Fourier space. This automatically removes the need for extra operations to recover the wide-field systematics error model without any discontinuity. We provide results based on LOFAR data where we compare the traditional facet-based (discrete directional gains) calibration with the proposed approach. The comparison shows improved image quality, mainly because of the physical plausibility of the proposed approach as opposed to using a piecewise constant model for direction-dependent systematic errors.
title Direction-dependent calibration with image-domain gridding
topic Instrumentation and Methods for Astrophysics
url https://arxiv.org/abs/2602.06002