Astronomical Image Processing with Array Detectors

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.

31 pages, 5 figures, accepted for publication in the PASP

References in corpus (1)

• Smooth maps from clumpy data

Cited by in corpus (8)

• Magnetic Field Structure around Low-Mass Class 0 Protostars: B335, L1527 and IC348-SMM2
• New Results on the Submillimeter Polarization Spectrum of the Orion Molecular Cloud
• The far-infrared polarization spectrum of Rho Ophiuchi A from HAWC+/SOFIA observations
• Characterizing Magnetized Turbulence in M51
• DR21 Main: A Collapsing Cloud
• The role of the magnetic field in the fragmentation process: the case of G14.225-0.506
• Characterizing Spatial Variations of PAH Emission in the Reflection Nebula NGC 1333
• Polarimetry of DG Tau at 350 microns