5 citations · 11 across the 4 of their papers we have counts for
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Accelerating the CLEAN algorithm of radio interferometry with convex optimization
Hendrik Müller, Mingyu Hsieh, Sanjay Bhatnagar
In radio-interferometry, we recover an image from an incompletely sampled Fourier data. The de-facto standard algorithm, the Cotton-Schwab CLEAN, is iteratively switching between c…
To CLEAN or not to CLEAN: Data Processing in the ngVLA era
Hendrik Müller
Radio interferometric imaging has long relied on the CLEAN algorithm, valued for its speed, robustness, and integration with calibration pipelines. However, next-generation facilit…
How to make CLEAN variants faster? Using clustered components informed by the autocorrelation function
Hendrik Müller, Sanjay Bhatnagar
Deconvolution, imaging and calibration of data from radio interferometers is a challenging computational (inverse) problem. The upcoming generation of radio telescopes poses signif…
Prospects of using closure traces directly for imaging in Very Long Baseline Interferometry
Hendrik Müller
The reconstruction of the polarization of a source in radio interferometry is a challenging calibration problem since the reconstruction strongly depends on the gains and leakages…