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Published July 2008 | Published
Journal Article Open

The Removal of Artificially Generated Polarization in SHARP Maps

Abstract

We characterize the problem of artificial polarization for the Submillimeter High Angular Resolution Polarimeter (SHARP) through the use of simulated data and observations made at the Caltech Submillimeter Observatory (CSO). These erroneous, artificial polarization signals are introduced into the data through misalignments in the bolometer subarrays and by pointing drifts present during the data-taking procedure. An algorithm is outlined here to address this problem and correct for it, provided that one can measure the degree of the subarray misalignments and telescope pointing drifts. Tests involving simulated sources of Gaussian intensity profile indicate that the level of introduced artificial polarization is highly dependent on the angular size of the source. Despite this, the correction algorithm is effective at removing up to 60% of the artificial polarization during these tests. The analysis of Jupiter data taken in 2006 January and 2007 February indicates a mean polarization of 1.44% ± 0.04% and 0.95% ± 0.09%, respectively. The application of the correction algorithm yields mean reductions in the polarization of approximately 0.15% and 0.03% for the 2006 and 2007 data sets, respectively.

Additional Information

© 2008. The Astronomical Society of the Pacific. Received 2007 November 27; accepted 2008 May 05; published 2008 June 10. M. A.'s and M. H.'s research is funded through the NSERC Discovery Grant, Canada Research Chair, Canada Foundation for Innovation, Ontario Innovation Trust, and Western's Academic Development Fund programs. G. N. acknowledges support from NSF grants AST 02-43156 and AST 05-05230 to Northwestern University. J. E. V. acknowledges support from NSF grants AST 05-40882 to the California Institute of Technology and AST 05-05124 to the University of Chicago. SHARC-II is funded through the NSF grant AST 05-40882 to the California Institute of Technology. SHARP is also funded by the NSF award AST-05-05124 to the University of Chicago.

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Created:
September 14, 2023
Modified:
October 23, 2023