Multi-beam clean: a deconvolution algorithm for images constructed using fee horn arrays

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2007
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Abstract
The Arecibo Observatory 305 m radio telescope has been equipped with a seven feed Arecibo L-band Feed Array (ALFA) to convert the telescope into a multi-pixel imaging device. The off-axis nature of the six beams gives rise to asymmetric side-lobe patterns. The construction of an image by using the multi-beam data results in the presence of side-lobe artifacts in the image which are unique for each compact source depending upon the way the telescope scans across it. Removal of these side-lobe artifacts requires accurate models of the seven ALFA beams and a modification of the Hogbom CLEAN algorithm. This algorithm has been named multi-beam CLEAN and was developed and implemented using the Galactic ALFA Continuum Transit Survey (GALFACTS) precursor data-set. The results of the implementation were successful and have been used to CLEAN side-lobe artifacts from the precursor images.
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Bibliography: p. 105-106
Some pages are in colour.
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Citation
Guram, S. S. (2007). Multi-beam clean: a deconvolution algorithm for images constructed using fee horn arrays (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/1236
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