2014
DOI: 10.1086/675080
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Implementation of Robust Image Artifact Removal in SWarp through Clipped Mean Stacking

Abstract: We implement an algorithm for detecting and removing artifacts from astronomical images by means of outlier rejection during stacking. Our method is capable of addressing both small, highly significant artifacts such as cosmic rays and, by applying a filtering technique to generate single frame masks, larger area but lower surface brightness features such as secondary (ghost) images of bright stars. In contrast to the common method of building a median stack, the clipped or outlier-filtered mean stacked point-… Show more

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Cited by 38 publications
(31 citation statements)
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“…The full set of light curves are shown as grey lines in the background, and each panel highlights an individual filter in black. We correct for Galactic extinction using the attenuation curve from Fitzpatrick (1999) and EB−V = AV /RV = 0.01 for RV = 3.1 and AV = 0.029 (Schlafly & Finkbeiner 2011). weighted coaddition of 298 R-band and 69 g-band images from PTF/iPTF taken between 2009 and 2016 using the CLIPPED combine strategy in SWarp (Bertin 2010;Gruen et al 2014). PTF/iPTF images were used instead of ZTF images to build references as they were obtained years prior to the transient, and thus less likely to contain any transient flux.…”
Section: Search For Pre-discovery Emissionmentioning
confidence: 99%
“…The full set of light curves are shown as grey lines in the background, and each panel highlights an individual filter in black. We correct for Galactic extinction using the attenuation curve from Fitzpatrick (1999) and EB−V = AV /RV = 0.01 for RV = 3.1 and AV = 0.029 (Schlafly & Finkbeiner 2011). weighted coaddition of 298 R-band and 69 g-band images from PTF/iPTF taken between 2009 and 2016 using the CLIPPED combine strategy in SWarp (Bertin 2010;Gruen et al 2014). PTF/iPTF images were used instead of ZTF images to build references as they were obtained years prior to the transient, and thus less likely to contain any transient flux.…”
Section: Search For Pre-discovery Emissionmentioning
confidence: 99%
“…4.2. For this step we obtained the 36 image stacks by using the named clipped-mean algorithm described in Gruen et al (2014) and implemented in SWarp. This algorithm has been specifically designed for rejecting artefacts present in individual contributors to resulting stacks.…”
Section: Image Coadditionmentioning
confidence: 99%
“…van Dokkum 2001) or averaging over multiple exposures (e.g. Gruen et al 2014;Desai et al 2016) to sparsity-based signal reconstructions (e.g. Rassat et al 2013;Wallis et al 2017).…”
Section: Missing Datamentioning
confidence: 99%