Taylor, A. RussellGuram, Sukhpreet Singh2017-12-182017-12-182007Guram, 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/1236http://hdl.handle.net/1880/102237Bibliography: p. 105-106Some pages are in colour.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.x, 106 leaves : ill. ; 30 cm.engUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.master thesis10.11575/PRISM/1236