Astronomical image processing with array detectors

Creators: Houde, Martin; Vaillancourt, John E.

Abstract

We address the question of astronomical image processing from data obtained with array detectors. We define and analyze the cases of evenly, regularly, and irregularly sampled maps for idealized (i.e., infinite) and realistic (i.e., finite) detectors. We concentrate on the effect of interpolation on the maps and the choice of the kernel used to accomplish this task. We show how the normalization intrinsic to the interpolation process must be carefully accounted for when dealing with irregularly sampled grids. We also analyze the effect of missing or dead pixels in the array and their consequences for the Nyquist sampling criterion.

Additional Information

© 2007 The Astronomical Society of the Pacific. Received 2007 April 23; accepted 2007 June 25; published 2007 August 20. 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. 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 also funded through the NSF grant AST 05-40882 to the California Institute of Technology. SHARP is funded through the NSF grants AST 02-43156 and AST 05-05230 to Northwestern University.

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