2000
DOI: 10.1086/308291
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A Method for Spatial Deconvolution of Spectra

Abstract: A method for spatial deconvolution of spectra is presented. It follows the same fundamental principles as the "" MCS image deconvolution algorithm ÏÏ recently developed by Magain, Courbin, & Sohy and uses information contained in the spectrum of a reference point-spread function to spatially deconvolve spectra of very blended sources. An improved resolution rather than an inÐnite one is aimed at, overcoming the well-known problem of "" deconvolution artifacts.ÏÏ As in the MCS algorithm, the data are decomposed… Show more

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Cited by 53 publications
(55 citation statements)
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“…In this way, a spectral point spread function (PSF) is measured simultaneously with the quasar. This is crucial for the spatial deconvolution of the data to work efficiently (Courbin et al 2000) and to clearly separate the quasar spectrum from that of the putative envelope.…”
Section: Sample and Observationsmentioning
confidence: 99%
See 1 more Smart Citation
“…In this way, a spectral point spread function (PSF) is measured simultaneously with the quasar. This is crucial for the spatial deconvolution of the data to work efficiently (Courbin et al 2000) and to clearly separate the quasar spectrum from that of the putative envelope.…”
Section: Sample and Observationsmentioning
confidence: 99%
“…We spatially deconvolved the spectra following the method described in Courbin et al (2000), which is an adaptation to spectroscopy of the "MCS" image deconvolution algorithm (Magain et al 1998). The results of this deconvolution are displayed in Fig.…”
Section: Reduction and Spatial Deconvolutionmentioning
confidence: 99%
“…0.025−1.0 of the standard deviation of the Gaussian convolving function). For all of these simulations, the noise level is fixed to produce SNR = 220 (similar to that in the simulations of Courbin et al 2000 for comparison of the two methods). .…”
Section: Figmentioning
confidence: 99%
“…To provide a direct comparison with previous methods, we adopt exactly the same problem considered by Courbin et al (2000) for a second test. This consists of a quasar and a star with a featureless continuum (see Courbin et al 2000, Sect. 3.1).…”
Section: Example Bmentioning
confidence: 99%
“…The analysis of M05, both for their Hubble Space Telescope (HST ) images and ground-based spectra, rely on highly specialized deconvolution methods developed by these authors (Magain et al 1998;Courbin et al 2000). While we do not call into question the reliability of M05's analysis, given the wide-spread interest that their results have generated it would be worthwhile to confirm them independently, preferably using a different technique.…”
Section: Introductionmentioning
confidence: 99%