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Sanepic: a mapmaking method for time stream data from large arrays
David Hughes
Acceso Abierto
Atribución-NoComercial-SinDerivadas
We describe amapmaking method thatwe have developed for theBalloon-borne LargeAperture Submillimeter Telescope (BLAST) experiment, but which should have general application to data from other submillimeter arrays. Our method uses amaximum likelihood–based approach,with several approximations,which allows images to be constructed using large amounts of datawith fairlymodest computermemory and processing requirements. This newapproach, 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.
The astrophysical journal
2008
Artículo
Inglés
Estudiantes
Investigadores
Público en general
Patanchon G., et al., (2008). Sanepic: a mapmaking method for time stream data from large arrays, The astrophysical journal. Vol. 681(1):708–725
ASTRONOMÍA Y ASTROFÍSICA
Versión aceptada
acceptedVersion - Versión aceptada
Aparece en las colecciones: Artículos de Astrofísica

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