Dealing with irregular PSFs in radio
images using e-MERLIN and VLA
Deconvolution of radio astronomy images often
requires CLEAN algorithms which remove the effect of
the point spread function (PSF) from the source to
produce a restored image. However, irregular PSFs
can lead to a systematic error in the measured flux
densities. Previously this has been ignored as the
interferometers usually have well-behaved PSFs. But
future radio interferometers such as LOFAR and the
SKA will have a highly core-dominated set of
antennas, requiring this problem to be addressed. !
This work used e-MERLIN and VLA simulated data.
The combined telescope has a known irregular PSF
due to the multiple short-spacings provided by the
VLA and the handful of long-spacings from e-MERLIN.
Using this simulated data, the potential errors can be
as large as 250%, leading to significantly discrepant
flux recovery. However, some potential solutions are
suggested, such as re-weighting the data to make the
PSF more Gaussian, or, rescaling the residuals but
some additional work is needed to fully mitigate these
issues for the future observations.!
Read the full paper here (Radcliffe et al. 2024,
MNRAS, Volume 527, Issue 1, p 942)!
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