Query : 2013A&A...556A.128M

2013A&A...556A.128M - Astronomy and Astrophysics, volume 556A, 128-128 (2013/8-1)

Direct model fitting to combine dithered ACS images.


Abstract (from CDS):

The information lost in images of undersampled CCD cameras can be recovered with the technique of ``dithering''. A number of subexposures is taken with sub-pixel shifts in order to record structures on scales smaller than a pixel. The standard method to combine such exposures, ``Drizzle'', averages after reversing the displacements, including rotations and distortions. More sophisticated methods are available to produce, e.g., Nyquist sampled representations of band-limited inputs. While the combined images produced by these methods can be of high quality, their use as input for forward-modelling techniques in gravitational lensing is still not optimal, because the residual artefacts still affect the modelling results in unpredictable ways. In this paper we argue for an overall modelling approach that takes into account the dithering and the lensing without the intermediate product of a combined image. As one building block we introduce an alternative approach to combine dithered images by direct model fitting with a least-squares approach including a regularization constraint. We present tests with simulated and real data that show the quality of the results. The additional effects of gravitational lensing and the convolution with an instrumental point spread function can be included in a natural way, avoiding the possible systematic errors of previous procedures.

Abstract Copyright:

Journal keyword(s): methods: data analysis - techniques: image processing - gravitational lensing: strong

Simbad objects: 3

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Number of rows : 3
N Identifier Otype ICRS (J2000)
ICRS (J2000)
Mag U Mag B Mag V Mag R Mag I Sp type #ref
1850 - 2022
1 NGC 104 GlC 00 24 05.359 -72 04 53.20   5.78 4.09     ~ 3738 0
2 QSO B0218+357 QSO 02 21 05.4920852208 +35 56 13.848581904   20.0 20.0 19.60   ~ 530 3
3 NAME 3C 330G2 Sy2 16 09 35.0 +65 56 39   20.33       ~ 264 1

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