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SANEPIC: a mapmaking method for time stream data from large arrays

Patanchon, G., Ade, Peter A. R., Bock, J. J., Chapin, E. L., Devlin, M. J., Dicker, S., Griffin, Matthew Joseph, Gundersen, J. O., Halpern, M., Hargrave, Peter Charles, Hughes, D. H., Klein, J., Marsden, Gaelen, Martin, P. G., Mauskopf, Philip Daniel, Netterfield, C. B., Olmi, L., Pascale, Enzo, Rex, M., Scott, D., Semisch, C., Truch, M. D. P., Tucker, Carole Elizabeth, Tucker, G. S., Viero, M. P. and Wiebe, D. V. 2008. SANEPIC: a mapmaking method for time stream data from large arrays. Astrophysical Journal 681 (1) , pp. 708-725. 10.1086/588543

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Abstract

We describe a mapmaking method that we have developed for the Balloon-borne Large Aperture Submillimeter Telescope (BLAST) experiment, but which should have general application to data from other submillimeter arrays. Our method uses a maximum likelihood-based approach, with several approximations, which allows images to be constructed using large amounts of data with fairly modest computer memory and processing requirements. This new approach, Signal and Noise Estimation Procedure Including Correlations (SANEPIC), builds on several previous methods but focuses specifically on the regime where there are a large number of detectors sampling the same map of the sky, and explicitly allowing for the possibility of strong correlations between the detector time streams. We provide real and simulated examples of how well this method performs compared with more simplistic mapmakers based on filtering. We discuss two separate implementations of SANEPIC: a brute-force approach, in which the inverse pixel-pixel covariance matrix is computed, and an iterative approach, which is much more efficient for large maps. SANEPIC has been successfully used to produce maps using data from the 2005 BLAST flight.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Physics and Astronomy
Subjects: Q Science > QB Astronomy
Uncontrolled Keywords: Balloons ; Methods: data analysis ; Submillimeter ; Techniques: image processing
Publisher: American Astronomical Society
ISSN: 0004-637X
Last Modified: 04 Aug 2018 00:23
URI: http://orca-mwe.cf.ac.uk/id/eprint/11018

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