On Denoising Crosstalk in Radio Interferometry
Noise reduction in radio interferometers is a formidable task due to the relatively weak signals under observation. The usual strategy is to compensate with a large number of antennas and extend the observation time. We showed recently that one could denoise directly antenna time-series, under the assumption of uncorrelated noise. This work is a first step to extend it for when crosstalk is present. We first propose a subspace based algorithm to estimate noise covariance, and then demonstrate that the noise covariance can be accurately estimated, and the image denoised. We show sky images generated using a core station LOFAR, and that even with one tenth the observation time (and thus one tenth the data) the estimate can still be enhanced.
2017
Fulltext available at: http://www.baspfrontiers.org/BASP-Proceedings-2017.pdf#page=13
Event name | Event place | Event date |
Villars-sur-Ollon, Switzerland | January 29 - February 3, 2017 | |