2012
DOI: 10.1093/mnras/sts184
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Difference image analysis: extension to a spatially varying photometric scale factor and other considerations

Abstract: We present a general framework for matching the point-spread function (PSF), photometric scaling, and sky background between two images, a subject which is commonly referred to as difference image analysis (DIA). We introduce the new concept of a spatially varying photometric scale factor which will be important for DIA applied to wide-field imaging data in order to adapt to transparency and airmass variations across the field-of-view. Furthermore, we demonstrate how to separately control the degree of spatial… Show more

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Cited by 101 publications
(92 citation statements)
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“…We used the Difference Image Analysis (DIA) technique with its pipeline DanDIA (Bramich 2008;Bramich et al 2013) to obtain high-precision photometry for all the point sources in the FoV of our images of M92. The strategy consists on creating a reference image by stacking the best quality images in each filter and then sequences of differential images in each filter were built by subtracting the respective reference image from the rest of the collection.…”
Section: Difference Image Analysismentioning
confidence: 99%
“…We used the Difference Image Analysis (DIA) technique with its pipeline DanDIA (Bramich 2008;Bramich et al 2013) to obtain high-precision photometry for all the point sources in the FoV of our images of M92. The strategy consists on creating a reference image by stacking the best quality images in each filter and then sequences of differential images in each filter were built by subtracting the respective reference image from the rest of the collection.…”
Section: Difference Image Analysismentioning
confidence: 99%
“…We reduced our observations using the DanDIA 1 pipeline (Bramich 2008(Bramich , 2012b) to obtain high-precision photometry of sources in the images of NGC 1904, as was done in previous globular cluster studies (e.g. Bramich et al 2012b, see that paper for a detailed description of the software).…”
Section: Difference Image Analysismentioning
confidence: 99%
“…Bramich et al 2012b, see that paper for a detailed description of the software). We produce a stacked reference image in each band by selecting the best-seeing images (within 10% of the best-seeing value) and taking care to minimise the number of saturated stars.…”
Section: Difference Image Analysismentioning
confidence: 99%
“…We employed the technique of difference image analysis (DIA) to extract high-precision photometry for all of the point sources in the images of M5 and we used the DanDIA pipeline for the data reduction process (Bramich 2008;Bramich et al 2013). We constructed one reference image for the V filter and another for the I filter by stacking the best-quality images in our collection; then we created sequences of difference images in each filter by subtracting the respective convolved reference image from the rest of the collection.…”
Section: Difference Image Analysismentioning
confidence: 99%
“…As in most of our recent papers we have employed the DanDIA 1 implementation of difference image analysis (DIA) (Bramich 2008;Bramich et al 2013) to extract high-precision photometry for all of the point sources in the field of M5. We collected 6890 light cuves in the V and I bandpasses with the aim of building up a colour-magnitude diagram (CMD) and discussing the horizontal branch (HB) structure as compared to other Oosterhoff type I (OoI) and Oosterhoff type II (OoII) clusters.…”
Section: Introductionmentioning
confidence: 99%