Abstract
Identifying and removing errors in both the u,v plane and the image plane is essential to achieve the highest quality image. In this lecture, I describe how to recognise and remove some of the most common imaging artifacts. In particular, issues associated with wide-field imaging are discussed.
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Notes
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Technically multi-frequency synthesis simply refers to the technique of mapping the spectral channels to their correct frequencies to increase u,v coverage (Conway et al. 1990; Sault and Wieringa 1994). However, with the significantly increased bandwidths of many new or upgraded interferometers it is now possible to obtain an accurate spectral index across the band by modeling both the spatial and spectral structure simultaneously using the MS-MFS CLEAN algorithm (Rau and Cornwell 2011).
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Acknowledgements
This chapter has drawn heavily from numerous lectures given at previous synthesis imaging schools available online as well as the VLA white book (Synthesis Imaging in Radio Astronomy, editors: Taylor, Carilli & Perley).
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Mahony, E. (2018). Error Recognition in LOFAR Data. In: Heald, G., McKean, J., Pizzo, R. (eds) Low Frequency Radio Astronomy and the LOFAR Observatory. Astrophysics and Space Science Library, vol 426. Springer, Cham. https://doi.org/10.1007/978-3-319-23434-2_6
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