Maximum Likelihood Estimation of Galaxy Morphology:|
Faint HST Wide Field Camera Images
Ratnatunga, K. U., Griffiths, R. E., & Casertano, S.
Johns Hopkins University, Baltimore, MD 21218, USA
The Restoration of HST Images and Spectra II
Space Telescope Science Institute, Baltimore, MD, USA
1993 November 18-19
Robert J. Hanish and Richard L. White
Space Telescope Science Institute, Baltimore, Maryland, 1993.
QB500.XXX .CXX 1993.
A modeling approach based on the maximum likelihood method has been
developed to extract quantitative morphological and structural
parameter estimates for faint galaxy images obtained with the Hubble
Space Telescope (HST) Wide Field Planetary Camera (WFPC). We model
both the galaxy image and the instrumental characteristics of the
WFPC, including the complex Point Spread Function (PSF), the error in
the Analog-to-Digital Converter (ADC), and the positive noise bias due
to faint cosmic rays and undetected warm pixels. Because convolved
galaxy images are compared directly with the observations, we avoid
the need for deconvolution, which is difficult and potentially
unstable for faint images.
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